The U.S. Department of Education Office of Educational Technology funded this study of international policy and programmes supporting information and communications technologies (ICTs) in education across 21 countries at primary and secondary levels. The final report includes an overview of international programmes and priorities as well as individual reports for each of the 21 countries. Findings suggest focusing on data collections at international level in order to compare the type and impact of ICT policies and programmes in education as well as improving the understanding of ICT in education best practices.
U.S. Department of Education, Office of Educational Technology, International Experiences with Educational Technology: Final Report, Washington, D.C., 2011.
This paper is based on the simple idea that students’ educational achievement is affected by the effort put in by those participating in the education process: schools, parents, and, of course, the students themselves.
DeFraja, G., Oliveira, T., & Zanchi, L. (2010). Must try harder: Evaluating the role of effort in educational attainment. The Review of Economics and Statistics, 92(3), 577–597. Retrieved from https://art.torvergata.it/retrieve/handle/2108/55644/108602/De%20Fraja%20Zanch%20Oliveira%20REStats%202010.pdf
Schools in the United States now spend more than $2 billion each year on education technology. But what are schools getting in return for this significant investment in technology learning? Robert Slavin examines the results from five studies designed to answer this question.
Slavin, R. (2019). A Powerful Hunger for Evidence-Proven Technology. Baltimore, MD: Robert Slavin’s Blog. https://robertslavinsblog.wordpress.com/2019/11/14/a-powerful-hunger-for-evidence-proven-technology/.
This study explored student achievement in a K-12, full-time, online learning environment and the effect parents had on student success.
Curtis, H. & Werth, L. (2015). Fostering student success and engagement in a K–12 online school. Journal of Online Learning Research, 1(2), 163–190. https://files.eric.ed.gov/fulltext/EJ1148836.pdf
This paper examines the factors affecting the successful implementation of a laptop program, classroom uses of laptops and the support required for schools from current research almost exclusively from the United States.
State of NSW, Department of Education and Training, Curriculum K-12 Directorate. (2009, March). One-to-one computing: literature review. Retrieved from http://www.dec.nsw.gov.au/detresources/about-us/how-we-operate/national-partnerships/digital-education-revolution/rrql/support/lit_review.pdf
The U.S. Department of Education Office of Educational Technology published this brief that summarizes research on the role of online communities of practice and social networks in supporting the professional performance of educators.
U.S. Department of Education. (2014, November). The Future Ready District: Professional Learning Through Online Communities of Practice and Social Networks to Drive Continuous Improvement. Retrieved from http://tech.ed.gov/wp-content/uploads/2014/11/Section7-FutureReadyDistrictBrief-Final.pdf.
The U.S. Department of Education’s Office of Educational Technology, in partnership with the American Institutes for Research (AIR), developed a research-based synthesis defining a set of policies and practices implemented by successful Future Ready district leaders. The resulting rubric provides a basis for personalized professional learning to expand the capacity of district superintendents to effectively transition to digital learning.
U.S. Department of Education. (2015, December). Characteristics of Future Ready Leadership A Research Synthesis. Retrieved from http://tech.ed.gov/files/2015/12/Characteristics-of-Future-Ready-Leadership.pdf.
This chapter reviews the state of the field as it pertains to the preparation of preservice teachers
for K-12 online and blended learning.
Archambault, L., & Kennedy, K. (2018). Teacher preparation for K–12 online and blended learning. In K. Kennedy & R. E. Ferdig (Eds.), Handbook of research on K–12 online and blended learning (2nd ed., pp. 221–245). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://www.academia.edu/37013644/Handbook_of_Research_on_K-12_and_Blending_Learning_Second_Editio.pdf
This article explores the theoretical underpinnings surrounding quality teaching in online settings as well as practical considerations for what teachers should know and be able to do in online environments.
Archambault, L., DeBruler, K., & Freidhoff, J. (2014). K-12 online and blended teacher licensure: Striking a balance between policy and preparedness. Journal of Technology and Teacher Education, 22(1), 83-106. Retrieved from
https://www.academia.edu/6459023/K-12_Online_ and_blended _Teacher_licensure_Striking_a_balance_between_Policy_ and_Preparedness
One-third of teachers told Education Week in July they were somewhat or very likely to leave their job this year, compared with just 8% who leave the profession in a typical year. But while that survey might reflect teachers' feelings over the summer, a review of the retirement and staffing figures collected in some of the first states to resume classes this year suggests that fears of a mass exodus of retiring teachers may have been overblown.
Aspegren, E. (2020, October 8). Fears of a mass exodus of retiring teachers during COVID-19 may have been overblown. USA Today.
A quantitative research synthesis (meta-analysis) was conducted on the literature concerning the effects of feedback on learning from computer-based instruction (CBI).
Azevedo, R., & Bernard, R. M. (1995). A meta-analysis of the effects of feedback in computer-based instruction. Journal of Educational Computing Research, 13(2), 111-127.
The report provides foundational knowledge needed to examine and understand the potential contributions of online learning to educational productivity, including a conceptual framework for understanding the necessary components of rigorous productivity analyses, drawing in particular on cost-effectiveness analysis as an accessible method in education.
Bakia, M., Shear, L., Toyama, Y., & Lasseter, A. (2012). Understanding the implications of online learning for educational productivity. Washington, DC: U.S. Department of Education. https://tech.ed.gov/files/2013/10/implications-online-learning.pdf
In these pages, we estimate the costs of blendedlearning models and fulltime virtual schools as currently operated in the U.S.
Battaglino, T. B., Haldeman, M., & Laurans, E. (2012). Creating sound policy for digital learning: The costs of online learning. Washington, DC: Thomas B. Fordham Institute. http://www.edexcellencemedia.net/publications/2012/20120110-the-costs-of-online-learning/20120110-the-costs-of-online-learning.pdf
This article examines issues relating to the use of websites popular with educators. This article offers guidelines for maximizing the usefulness of such sites and for avoiding many of the pitfall educators may face.
Beahm, L. A., Cook, B. G., & Cook, L. (2019). Proceed With Caution: Using Web-Based Resources for Instructing Students With and at Risk for EBD. Beyond Behavior, 28(1), 13-20.
The Education Policy Center at American Institutes for Research (AIR) provides rigorous
research-and evidence-based perspectives on education issues spanning prekindergarten
to careers, including reports, briefs, legislative guides, and our InformED blog—all written by
AIR experts.
Behrstock-Sherratt, E. (2016). Creating Coherence in the Teacher Shortage Debate: What Policy Leaders Should Know and Do. Education Policy Center at American Institutes for Research.
As 2021 begins, we can’t make assumptions about what students have learned this school year. Education leaders and teachers, of course, have interacted with students and watched them through computer screens for many months — but we won’t truly know what happened and where learning gaps exist without statewide exams.
Bell-Ellwanger, J. (2021, January 5). Analysis: Spring exams are the best shot state leaders have at knowing what’s happening with their students. The 74
A report about blended learning programs analyzes the instruction, operational, and financial models of Knowledge is Power Program (KIPP) schools. KIPP focuses on blending technology with in-class education to provide small group instruction and to meet the needs of each individual student.
Bernatek, B., Cohen, J., Hanlon, J., & Wilka, M. (2012). Blended learning in practice: Case studies from leading schools, featuring KIPP Empower Academy. Austin, TX: Michael and Susan Dell Foundation. https://www.heartland.org/_template-assets/documents/publications/kipp.pdf
The purpose of this study is to investigate the role of familial participation in student's achievement in K-12 virtual schools.
Black, E. W. (2009). An evaluation of familial involvements’ influence on student achievement in K–12 virtual schooling [Doctoral dissertation, University of Florida, Gainesville]. University of Florida Digital Collections.https://ufdc.ufl.edu/UFE0024208/00001
Researchers have hypothesized that parental engagement is even more critical when online students learn from home, but few researchers have examined parents’ engagement behavior—especially parents of adolescent learners. In this case study, we addressed this gap using parent and student interviews at a full-time online charter school.
Borup, J., Stevens, M. A., & Hasler Waters, L. (2015). Parent and student perceptions of parent engagement at a cyber charter high school. Online Learning, 19(5), 69–91. https://files.eric.ed.gov/fulltext/EJ1085792.pdf
This report summarizes the methodology, measures, and findings of research on the influence on student achievement outcomes of K–12 online and blended face-to-face and online learning programs that offer differentiated learning options.
Brodersen, R. M., & Melluzzo, D. (2017). Summary of research on online and blended learning programs that offer differentiated learning options (REL 2017–228). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Central. https://files.eric.ed.gov/fulltext/ED572935.pdf
This thesis reviews past research and provides an analysis of relevant studies conducted within the last ten years. This meta-analysis provides a comprehensive overview of the effect of technology enhanced learning (TEL) programs on K-12 students‟ overall academic performance and factors that can increase the effectiveness of such programs.
Brown, J. (2011). Does the use of technology in the classroom increase students' overall academic performance? (pp. 1-45). Communication and Organizational Leadership Studies School of Professional Studies, Gonzaga University.
This paper explores the theoretical and empirical literature on the impacts of technology on educational outcomes. The literature focuses on two primary contexts in which technology may be used for educational purposes: i) classroom use in schools, and ii) home use by students.
Bulman, G., & Fairlie, R. W. (2015). Technology and education: Computers, software, and the internet. Working Paper 22237. Cambridge, MA: National Bureau of Economic Research. https://www.nber.org/papers/w22237.pdf
While research has been conducted on parental involvement in K-12 online learning, none of this research relates specifically to the parents of students with disabilities. Thus, researchers developed a survey around the following constructs: parental roles, instruction and assessment, communication and support from the school, and parental challenges.
Burdette, P. J., & Greer, D. L. (2014). Online learning and students with disabilities: Parent perspectives. Journal of Interactive Online Learning, 13(2), 67–88. https://www.ncolr.org/jiol/issues/pdf/13.2.4.pdf
Education Week is learning as it surveys educators across the country about the impact school closures have had on their morale, student engagement, technology skills, and many other factors.
Bushweller, K. (2020, June 2). How COVID-19 is shaping tech use. What that means when schools reopen. Education Week. https://www.edweek.org/ew/articles/2020/06/03/how-covid-19-is-shaping-tech-use-what.html
The author reviews the economics literature at the intersection between innovation and K-12 education from two different, but related perspectives.
Chatterji, A. (2018). Innovation and American K–12 education. Working Paper 23531. Cambridge, MA: National Bureau of Economic Research. https://www.nber.org/papers/w23531.pdf
This article briefly describes blending learning definition and models.
Christensen Institute (2020). Blended learning definitions. http://www.christenseninstitute.org/blended-learning-definitions-and-models/
The Clayton Christensen Institute, formerly Innosight Institute, has published three papers describing the rise of K−12 blended learning. This fourth paper is the first to analyze blended learning through the lens of disruptive innovation theory to help people anticipate and plan for the likely effects of blended learning on the classrooms of today and schools of tomorrow.
Christensen, C. M., Horn, M. B., & Staker, H. (2013). Is K–12 blended learning disruptive? An introduction to the theory of hybrids. Christensen Institute. http://www.christenseninstitute.org/wp-content/uploads/2013/05/Is-K-12-Blended-Learning-Disruptive.pdf
This study aimed to look into this by asking, “Which features of high quality online professional development were noted by participating educators in a statewide online teacher professional development program?” A survey was used to collect educators’ voices in this FIP professional development (PD) program.
Collins, L. J., & Liang, X. (2015). Examining high quality online teacher professional development: Teachers’ voices. International Journal of Teacher Leadership, 6(1), 18–34. https://files.eric.ed.gov/fulltext/EJ1137401.pdf
This study investigated inner-city middle school teachers' perceptions of the importance of time in learning and sharing information. The survey identified ways that teachers shared what they had learned and discussed factors that helped or hindered them in sharing. Teacher interviews examined: knowledge, skills, and insights gained by participating in the EELC.
Collinson, V., & Fedoruk Cook, T. (2001). “I don’t have enough time”—Teachers’ interpretations of time as a key to learning and school change. Journal of Educational Administration, 39(3), 266–281.
This paper discusses an adapted-Continuous Practice Improvement model, which qualitative findings indicate was effective in facilitating the transfer of creative and innovative teaching approaches from the expert or Resident Teacher’s school to the novice or Visiting Teachers’ classrooms over the duration of the project.
Cowan, P. (2013). The 4I Model for scaffolding the professional development of experienced teachers in the use of virtual learning environments for classroom teaching. Contemporary Issues in Technology and Teacher Education, 13(1), 82–98. https://citejournal.org/volume-13/issue-1-13/current-practice/the-4i-model-for-scaffolding-the-professional-development-of-experienced-teachers-in-the-use-of-virtual-learning-environments-for-classroom-teaching/
This mixed-methods study investigates student achievement in the full-time, online learning environment and the effect parents have on student success.
Curtis, H. (2013). A mixed methods study investigating parental involvement and student success in high school online education [Doctoral dissertation, Northwest Nazarene University]. https://nnu.whdl.org/sites/default/files/Curtis%20Final%20Dissertation.pdf
Based on a review of more than seventy recent studies, this brief describes these approaches, particularly as they apply to high school students who have been at risk of failing courses and exit examinations or dropping out due to a range of personal factors and academic factors. The brief then outlines policy strategies that could expand the uses of technology for at-risk high school youth.
Darling-Hammond, L., Zielezinski, M. B., & Goldman, S. (2014). Using technology to support at-risk students’ learning. Stanford Center for Opportunity Policy in Education; Alliance for Excellent Education.
Going Virtual! 2010 is a follow-up report to the Going Virtual! Research series started in 2007. The purpose of the series is to describe current trends on the status of professional development for K-12 online teachers, as well as identify the unique needs and challenges faced by these instructors.
Dawley, L., Rice, K., & Hinck, G. (2010). Going Virtual! 2010: The status of professional development and unique needs of K–12 online teachers. Boise, ID: Boise State University. https://aurora-institute.org/wp-content/uploads/goingvirtual3.pdf
The Handbook of Research on K-12 Online and Blended Learning is an edited collection of chapters that sets out to present the current state of research in K-12 online and blended learning.
Dawson, K., & Dana, N. F. (2018a). Mentoring for online teachers. In K. Kennedy & R. E. Ferdig (Eds.), Handbook of research on K–12 online and blended learning (2nd ed., pp. 261–272). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://www.academia.edu/37013644/Handbook_of_Research_on_K-12_and_Blending_Learning_Second_Editio.pdf
This chapter provides a survey of what is known about professional development for both brick and mortar and online teachers and uses this knowledge as a springboard to suggest policy and research implication of professional development and K-12 online teacher.
Dawson, K., & Dana, N. F. (2018b). Professional development for K–12 online teachers. In K. Kennedy & R. E. Ferdig (Eds.), Handbook of research on K–12 online and blended learning (2nd ed., pp. 247–260). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://www.academia.edu/37013644/Handbook_of_Research_on_K-12_and_Blending_Learning_Second_Editio.pdf
This article presents a critical review of the transitions that technology integration has made over the years; the amount of resources and funding that has been allocated to immerse school with technology; and the conflicting results presented on effectiveness of using is technology in education.
Delgado, A. J., Wardlow, L., McKnight, K., & O’Malley, K. (2015). Educational technology: A review of the integration, resources, and effectiveness of technology in K–12 classrooms. Journal of Information Technology Education: Research, 14, 397–416. http://www.jite.org/documents/Vol14/JITEv14ResearchP397-416Delgado1829.pdf
This article offers ideas to improve the quality of inquiry into teacher learning, one of the most critical targets of education reform.
Desimone, L. M. (2009). Improving impact studies of teachers’ professional development: Toward better conceptualization and measures. Educational Researcher, 38(3), 181–199.
Online, blended, and digital learning in K–12 schools in the United States includes an assortment of schools, programs, tools, and resources. These range from the fully online schools in which students receive their entire education, to the digital platforms and content that mainstream teachers are using to bolster instruction in their physical classrooms.
Digital Learning Collaborative. (2019). Snapshot 2019: A review of K-12 online, blended, and digital learning. https://static1.squarespace.com/static/59381b9a17bffc68bf625df4/t/5df14d464ba53f72845791b2/1576095049441/DLC-KP-Snapshot2019.pdf
The Covid-19 pandemic has resulted in school closings for the remainder of the year in 48 of 50 states and a sharp turn toward remote instruction in order to finish the year as best as possible. Understanding best practice in remote instruction and learning will be key as schools look to the future.
Donley, J., Detrich, R., States, J., & Keyworth, (2020). Remote Learning Overview. Oakland, CA: The Wing Institute. https://www.winginstitute.org/effective-instruction-computers.
The authors examine whether social capital created at home and at school has differing effects on child academic achievement. They hypothesize that children derive social capital from both their families and their schools and that capital from each context promotes achievement.
Dufur, M. J., & Parcel, T. L., & Troutman, K. P. (2013). Does capital at home matter more than capital at school? Social capital effects on academic achievement. Research in Social Stratification and Mobility, 31, 1–21.
This study is the first internationally comparative data analysis of the impact of computer use of student performance, based on OECD’s PISA 2003 assessment of educational performance by 15-year olds. It backs up previous OECD analysis about the importance of computers in schools
E. C. D. (2006). Regular computer users perform better in key school subjects. Organization for Economic Co-operation and Development (OECD).
The analysis in this report is based on 2019 application data from the FCC’s Schools and Libraries Program (“E-rate”). This data represents the best national source of current information on school district connectivity; specifically, what broadband services schools are buying and how much they are paying for these services
EducationSuperHighway. (2019). 2019 state of the states: The classroom connectivity gap is closed. https://s3-us-west-1.amazonaws.com/esh-sots-pdfs/2019%20State%20of%20the%20States.pdf
This review paper synthesizes and discusses experimental evidence on the effectiveness of technology-based approaches in education and outlines areas for future inquiry. While this review focuses on literature from developed countries, it also draws upon extensive research from developing countries.
Escueta, M., Quan, V., Nickow, A. J., & Oreopoulos, P. (2017). Education technology: An evidence-based review.Working Paper 23744. Cambridge, MA: National Bureau of Economic Research. https://www.nber.org/papers/w23744.pdf
This report grew out of the understanding that it is not enough to know that noncognitive factors matter for learning. Researchers from a range of disciplines have provided evidence that such factors are important to students' grades and long-term educational outcomes.
Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T. S., Johnson, D. W., & Beechum, N. O. (2012). Teaching adolescents to become learners. The role of noncognitive factors in shaping school performance: A critical literature review. Chicago, IL: University of Chicago Consortium on Chicago School Research. https://files.eric.ed.gov/fulltext/ED542543.pdf
This study employed a randomized experiment to examine differences in teacher and student learning from professional development (PD) in two modalities: online and face-to-face.
Fishman, B., Konstantopoulous, S., Kubitskey, B., Vath, R., Park, G., Johnson, H., & Edelson, D. C. (2013). Comparing the impact of online and face to face professional development in the context of curriculum implementation. Journal of Teacher Education, 64(5), 426–438.
Research that claims to focus on students with disabilities in online learning environments should be designed and carried out with particular attention to educational and social outcomes. The Center on Online Learning and Students with Disabilities (COLSD) conducts research in alignment with these goals.
Franklin, T. O., East, T., & Mellard, D.F. (2015). Parent preparation and involvement in their child’s online learning experience: Superintendent Forum Proceedings Series. (Report No. 2). Lawrence, KS: Center on Online Instruction and Students with Disabilities, University of Kansas. http://www.centerononlinelearning.res.ku.edu/wp-content/uploads/2017/04/Superintendent_Topic_2_Summary_November2015.pdf
In the current context, barriers to student attendance and engagement have only increased. Schools and districts are encouraged to emphasize a supportive multi-tiered model for supporting student and staff engagement and attendance rather than punitive attendance or truancy policies.
Freeman, J., Flannery, B., Sugai, G., Goodman, S., Simonsen, B., & Barrett, S. (2020). Improving Attendance in a Remote Learning Environment. Technical Assistance Center on Positive Behavioral Interventions and Supports.
Although recent data indicate that the learning losses this fall, compared with the same period last year, have not been as dire as predicted, those results likely mask high numbers of missing kids — children who lack technology for online learning or whose parents are unable to supervise their remote schooling.
Gabor, A. (2020, December 27). Education secretary’s first task: Curb standardized tests. Pittsburgh Post-Gazette
In one three-week period, a pandemic has completely changed the national landscape on assessment.
Gewertz, C. (2020). It’s official: All states have been excused from statewide testing this year. Education Week.
In early March, Education Week caught up with them by phone when they were in Paris to speak at an ed-tech conference. We asked them how their 2015 predictions had fared. Then, we talked again in late April, when the coronavirus had suddenly transformed K-12 education into a massive remote learning system.
Gewertz, C. (2020, June 2). How technology, coronavirus will change teaching by 2025. Education Week. https://www.edweek.org/ew/articles/2020/06/03/how-technology-coronavirus-will-change-teaching-by.html
This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic. Student teaching placements influence teacher effectiveness. If student teaching experiences are constrained by the pandemic, teacher candidates may lose valuable experiences and schools may lose the opportunity to shape and evaluate prospective hires.
Goldhaber, D., & Ronfeldt, M. (2020). Sustaining Teacher Training in a Shifting Environment. Brief No. 7. EdResearch for Recovery Project.
This report was generated in response to the enormous role technology is, and will increasingly be, playing in providing remote learning opportunities for students, whether in supporting part-time “school based” education or temporarily replacing it altogether.
Gray, L., and Lewis, L. (2020). Teachers’ Use of Technology for School and Homework Assignments: 2018–19 (NCES 2020-048). U.S. Department of Education. Washington, DC: National Center for Education Statistics. Retrieved [date] from https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2020048
This National Center for Education Statistics report provides national data on the availability and use of educational technology among teachers in public elementary and secondary schools during the winter and spring of 2009. The data are the results of a national teacher-level survey that is one of a set that includes district, school, and teacher surveys on educational technology.
Gray, L., Thomas, N., and Lewis, L. (2010). Teachers’ Use of Educational Technology in U.S. Public Schools: 2009 (NCES 2010-040). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.
This paper is an examination of the current state of blended and online learning throughout
the K-12 world in the United States.
Greene, K., & Hale, W. (2017). The state of 21st century learning in the K–12 world of the United States: Online and blended learning opportunities for American elementary and secondary students. Journal of Educational Multimedia and Hypermedia, 26(2), 131–159.
When schools pushed the pandemic pause button last spring, one of the casualties was the annual ritual of taking the Big Standardized Test. There were many reasons to skip the test, but in the end, students simply weren’t in school during the usual testing time
Greene, P. (2020, August 14). Schools should scrap the big standardized test this year. Forbes
This chapter synthesizes and categorizes current blended learning research, with recommendations for future directions. Issues addressed in HE blended learning and K-12 blended learning are identified, compared, and evaluated by reviewing major research on the topic.
Halverson, L. R., Spring, K. J., Huyett, S., Henrie, C., & Graham, C. R. (2017). Blended learning research in higher education and K–12 settings. In J. M. Spector, B. B. Lockee, & M. D. Childress (Eds.), Learning, design, and technology: An international compendium of theory, research, practice, and policy (pp. 1–30). Cham, Switzerland: Springer International Publishing.
This article examines issues in the Ohio’s state funded online schools. In the fall of 2016 the Ohio education department completed attendance audits of 13 e-schools. Nine were found to have over reported their student enrollment. This issue takes on added significance with the selection of Betsy DeVos, U.S. education secretary, a prominent advocate of school choice who supports expanding online school options.
Harold, H. and Harwin, A. (2017). Student Login Records at Ohio E-Schools Spark $80 Million Dispute. Education Week. Retrieved March 16, 2017 from http://www.edweek.org/ew/articles/2017/03/08/student-login-records-at-ohio-e-schools-spark.html?cmp=eml-enl-dd-news2.
This paper critically analyzes extant approaches to technology integration in teaching,
arguing that many current methods are technocentric, often omitting sufficient consideration
of the dynamic and complex relationships among content, technology, pedagogy, and
context.
Harris, J., Mishra, P., & Koehler, M. (2009). Teachers’ technological pedagogical content knowledge and learning activity types: Curriculum-based technology integration reframed. Journal of Research on Technology in Education, 41(4), 393–416.
Research indicates children generally fare better in traditional schools when parents are
involved. However, scant research exists in alternative settings such as blended and online
schooling
Hasler Waters, L., Borup, J., & Menchaca, M. P. (2018). Parental involvement in K–12 online and blended learning. In K. Kennedy & R. E. Ferdig (Eds.), Handbook of research on K–12 online and blended learning (2nd ed., pp. 403–422). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://www.academia.edu/37013644/Handbook_of_Research_on_K-12_and_Blending_Learning_Second_Editio.pdf
This influential book is the result of 15 years research that includes over 800 meta-analyses on the influences on achievement in school-aged students. This is a great resource for any stakeholder interested in conducting a serious search of evidence behind common models and practices used in schools.
Hattie, J. (2009). Visible learning. A synthesis of over, 800.
The Visible Learning research synthesizes findings from 1,400 meta-analyses of 80,000 studies involving 300 million students, into what works best in education.
Hattie, J. (2017). Visible learning: 250+ influences on student achievement. https://visible-learning.org/wp-content/uploads/2018/03/VLPLUS-252-Influences-Hattie-ranking-DEC-2017.pdf
Using qualitative interviews of eight virtual high school teachers, this study explored teachers' perceptions of their online teaching role. Teachers expressed a sense of disconnection from their students, the profession, and their peers as a result of limited interactions due to significant institutional barriers.
Hawkins, A., Barbour, M. K., & Graham, C. R. (2012). Everybody is their own island: Teacher disconnection in a virtual school. International Review of Research in Open and Distance Learning, 13(2), 123–144.
The survey was conducted in May 2020. While this was early in the Covid-19 pandemic, unemployment was already 14.7%, the economy in recession, and the schools were shutdown. This survey provides one of the first opportunities to evaluate the public’s views on education in this context
Henderson, M. B., Houston, D. M., Peterson, P. E., West, M. R. & Shakeel, M. D. (2020). Amid Pandemic, Support Soars for Online Learning, Parent Poll Shows Results from the 2020 Education Next Survey of Public Opinion. Education Next, 20(13), 8-19. https://www.educationnext.org/amid-pandemic-support-soars-online-learning-parent-poll-shows-2020-education-next-survey-public-opinion/
The survey was conducted in May 2020. While this was early in the Covid-19 pandemic, unemployment was already 14.7%, the economy in recession, and the schools were shutdown. This survey provides one of the first opportunities to evaluate the public’s views on education in this context.
Henderson, M. B., Houston, D. M., Peterson, P. E., West, M. R. & Shakeel, M. D. (2020). Amid Pandemic, Support Soars for Online Learning, Parent Poll Shows Results from the 2020 Education Next Survey of Public Opinion. Education Next, 20(13), 8-19.
Technology is everywhere in education: Public schools in the United States now provide at least one computer for every five students. And in 2015-16, for the first time, more state standardized tests for the elementary and middle grades will be administered via technology than by paper and pencil.
Herold, B. (2016, February 5). Technology in education: An overview. Education Week.https://www.edweek.org/ew/issues/technology-in-education/index.html
The messy transition to remote learning in America’s K-12 education system as a result of the COVID-19 pandemic has been marked by glaring disparities among schools, according to nationally representative surveys of U.S. teachers and school district leaders administered by the EdWeek Research Center.
Herold, B. (2020, April 10). The disparities in remote learning under coronavirus (in charts). Education Week.https://www.edweek.org/ew/articles/2020/04/10/the-disparities-in-remote-learning-under-coronavirus.html
This study will discuss a guiding definition for blended learning, benefits, team support, policy, management issues, rationale for expansion, professional development, purchasing, funding, evaluation, and lenses of the future and implications.
Hilliard, A. T. (2015). Global blended learning practices for teaching and learning, leadership and professional development. Journal of International Education Research, 11(3), 179–188. https://files.eric.ed.gov/fulltext/EJ1070786.pdf
The COVID-19 pandemic is harming health, social and material well-being of children worldwide, with the poorest children, including homeless children and children in detention, hit hardest. School closures, social distancing and confinement increase the risk of poor nutrition among children, their exposure to domestic violence, increase their anxiety and stress, and reduce access to vital family and care services.
Home, O. E. C. D. Combatting COVID-19’s effect on children.
Online learning is sweeping across America. In the year 2000, roughly 45,000 K–12 students took an online course. In 2009, more than 3 million K–12 students did. What was originally a distance-learning phenomenon no longer is. Most of the growth is occurring in blended-learning environments, in which students learn online in an adult-supervised environment at least part of the time. As this happens, online learning has the potential to transform America’s education system by serving as the backbone of a system that offers more personalized learning approaches for all students.
Horn, M., & Staker, H. (2011). The rise of K–12 blended learning. Mountain View, CA: Innosight Institute.
this hands-on guide expands upon the blended learning ideas presented in
that book to provide practical implementation guidance for educators seeking to incorporate
online learning with traditional classroom time
Horn, M., & Staker, H. (2015). Blended: Using disruptive innovation to improve schools. San Francisco, CA: Jossey-Bass.
Keep students engaged and actively learning with focused, relevant discussion. Second only to lecture as the most widely used instructional strategy, there's no better method than classroom discussion to actively engage students with course material. Most faculty are not aware that there is an extensive body of research on the topic from which instructors can learn to facilitate exceptional classroom discussion.
Howard, J. R. (2015). Discussion in the college classroom: Getting your students engaged and participating in person and online. John Wiley & Sons.
The purpose of the National Standards for Quality (NSQ) revision initiative is to provide the K-12 online and blended learning community with an updated set of openly licensed standards to help evaluate and improve online courses, online teaching and online programs.
irtual Learning Leadership Alliance and Quality Matters. (2019). National standards for quality online teaching (3rd ed.). https://www.nsqol.org/wp-content/uploads/2019/02/National-Standards-for-Quality-Online-Teaching.pdf
This study examines the effects on early reading skills of three different methods of
presenting material with computer-assisted instruction.
Johnson, E. P., Perry, J., & Shamir, H. (2010). Variability in reading ability gains as a function of computer-assisted instruction method of presentation. Computers and Education, 55(1), 209–217.
This report analyzes computer usage in the classrooms of teachers who are at least moderately well-prepared in the use of computers for reading instruction. Data from the 1998 National Assessment of Educational Progress (NAEP) database were used to analyze the influence of computers on academic achievement.
Johnson, K. A. (2000). Do Computers in the Classroom Boost Academic Achievement? A Report of the Heritage Center for Data Analysis.
Students on the path toward dropping out of high school often exhibit signals that they are at risk well before they stop engaging in school. As school closures due to COVID-19 separate students from structured routines and educational supports, the number of disengaged students may continue to grow.
Kassner, L., Jonas, D., and Klein, S. (2020). Dropout Prevention in the Time of COVID-19. U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, What Works Clearinghouse.
This study examined whether a personalized, adaptive blended learning approach can support reading development in ELs and non-ELs.
Kazakoff, E. R., Macaruso, P., & Hook, P. (2017). Efficacy of a blended learning approach to elementary school reading instruction for students who are English learners. Education Technology Research and Development, 66, 429–449.
This article describes the instructional design of field experiences in K-12 online learning environments. Couched in the theory of situated cognition and based on established K-12 online teaching standards, these field experiences are slowly gaining popularity in teacher education programs.
Kennedy, K., & Archambault, L. (2012a). Design and development of field experiences in K–12 online learning environments. Journal of Applied Instructional Design, 2(1), 35–49. https://www.researchgate.net/profile/Leanna_Archambault/publication/2724
This study shares the results of a national survey targeting teacher education programs’ efforts to help prepare preservice teachers for K-12 online learning. Data show that only 1.3% of responding teacher education programs are addressing this need via field experiences in virtual schools. Implications for policy and practice in the field of teacher education are examined
Kennedy, K., & Archambault, L. (2012b). Offering preservice teachers field experiences in K–12 online learning: A national survey of teacher education programs. Journal of Teacher Education, 63(3), 185–200.
The accidental education benefits of Covid-19.
Kohn, A. (2020, August 18). The accidental education benefits of Covid-19. Education Week.
This review describes a meta-analysis of findings from 50 controlled evaluations of
intelligent computer tutoring systems.
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42–78.
To address the importance and challenges of implementing new pedagogies, this paper brings together leading experts to reflect on key areas of pedagogy. In particular, each chapter addresses a pedagogical dimension that together offers a conceptual framework for action
Lafuente, M. (2018). Attuning pedagogies to the context of ‘new learners’ and technology. In A. Peterson, H. Dumont, M. Lafuente, & N. Law (Eds.), Understanding innovative pedagogies: Key themes to analyse new approaches to teaching and learning (pp. 94–115). OECD Education Working Paper No. 172. Organisation for Economic Co-operation and Development.
In this paper, a self-regulated flipped classroom approach is proposed to help students schedule their out-of-class time to effectively read and comprehend the learning content before class, such that they are capable of interacting with their peers and teachers in class for in-depth discussions.
Lai, C. L., & Hwang, G. J. (2016). A self-regulated flipped classroom approach to improving students’ learning performance in a mathematics course. Computers and Education, 100, 126–140.
We did not ask the panel to weigh in on debates over the role of state exams and accountability systems during a pandemic. However, the panel did discuss how districts and states can balance the goal of informing teachers and parents about individual students with the continued need to track system and school progress. The challenges in the upcoming school year will shine a harsh light on the variation in skills, knowledge, and needs that were always present.
Lake, R., & Olson, L. (2020). Learning as We Go: Principles for Effective Assessment during the COVID-19 Pandemic. Center on Reinventing Public Education.
This report sought to review a wide set of research findings and integrate insights relevant to potential equity issues that could arise as competency education evolves and begins to be implemented more broadly.
Lewis, M. W., Eden, R., Garber, C., Rudnick, M., Santibañez, L., & Tsai, T. (2014). Equity in competency education: Realizing the potential, overcoming the obstacles. Students at the Center: Competency Education Research Series. Boston, MA: Jobs for the Future. https://studentsatthecenterhub.org/wp-content/uploads/2015/10/Equity-in-Competency-Education-103014-copy.pdf
This paper provides an overview of parental involvement in traditional education, discusses its role in K-12 virtual schooling, and describes a study that validates a parental involvement assessment with a virtual school population.
Liu, F., Black, E., Algina, J., Cavanaugh, C., & Dawson, K. (2010). The validation of one parental involvement measurement in virtual schooling. Journal of Interactive Online Learning, 9(2), 105–132.
This chapter looks at the research methods used during the first ten years of research on
online teaching and learning
Lowes, S., & Lin, P. (2018). A brief look at the methodologies used in the research on online teaching and learning. In K. Kennedy & R. E. Ferdig (Eds.), Handbook of research on K–12 online and blended learning (2nd ed., pp. 91–110). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://www.academia.edu/37013644/Handbook_of_Research_on_K-12_and_Blending_Learning_Second_Editio.pdf
School closings and the ever-increasing number of deaths provide the backdrop for a proposal by the Center for American Progress (CAP) to deny waivers of the federally mandated administration of standardized tests in spring 2021. Further, the federal government proposes to add to those assessments in ways that CAP argues would make the test results more useful.
Mathis, W. J., Berliner, D. C., & Glass, G. V. NEPC Review: Student Assessment During COVID-19 (Center for American Progress, September 2020).
This note provides a brief review of work to address the challenges of measuring output and productivity in the education sector, with attention also to issues related to the increasing use of technology in the provision of education services.
McGivney, E., & Foda, K. (n.d.). Productivity measurement in the education sector. Washington, DC: Brookings Institution. https://www.brookings.edu/wp-content/uploads/2017/12/productivity-measurement-in-education.pdf
This meta-analysis was designed to produce a statistical synthesis of studies contrasting learning outcomes for either fully online or blended learning conditions with those of face-to-face classroom instruction.
Means, B., Toyama, Y., Murphy, R., & Bakia, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1–47.
A systematic search of the research literature from 1996 through July 2008 identified more than a thousand empirical studies of online learning.
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: U.S. Department of Education. http://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.pdf
This report provides a new perspective on the nation’s largest virtual school provider through a systematic review and analysis of student characteristics, school finance, and school performance of K12-operated schools.
Miron, G., & Urschel, J. L. (2012). Understanding and improving full-time virtual schools: A study of student characteristics, school finance, and school performance in schools operated by K12, Inc. Boulder, CO: National Education Policy Center. http://files.eric.ed.gov/fulltext/ED533960.pdf
This 2015 report is third in a series of annual reports on virtual education in the U.S.. It is organized in three major sections.
Molnar, A., Huerta, L., Shafer, S. R., Barbour, M.K., Miron, G., Shafer, S. R., & Gulosino, C. (2015). Virtual schools in the U.S. 2015: Politics, performance, policy, and research evidence. Boulder, CO: National Education Policy Center. http://nepc.colorado.edu/publication/virtual-schools-annual-2015
This report provides disinterested scholarly analyses of the characteristics and performance of fulltime, publicly funded K-12 virtual schools; reviews the relevant available research related to virtual school practices; provides an overview of recent state legislative efforts to craft virtual schools policy; and offers policy recommendations based on the available evidence.
Molnar, A., Miron, G., Elgeberi, N., Barbour, M. K., Huerta, L., Shafer, S. R., & Rice, J. K. (2019). Virtual schools in the U.S. 2019. Boulder, CO: National Education Policy Center. https://nepc.colorado.edu/sites/default/files/publications/Virtual%20Schools%202019.pdf
The 2017 NEPC Annual Report contributes to the existing evidence related to virtual education, and so to debates surrounding it. It provides objective analysis of the characteristics and performance of full-time, publicly funded K-12 virtual schools; available research on virtual school practices and policy; and an overview of recent state efforts to craft new policy
Molnar, A., Miron, G., Gulosino, C., Shank, C., Davidson, C., Barbour, M. K.,… Nitkin, D. (2017). Virtual schools in the U.S. 2017. https://files.eric.ed.gov/fulltext/ED574702.pdf
This research report presents the findings of this formative and summative research effort.
Murphy, R., Snow, E., Mislevy, J., Gallagher, L., Krumm, A., & Wei, X. (2014). Blended learning report. Austin, TX: Michael and Susan Dell Foundation.
This report provides basic information about full-time virtual charter public schools, presents data about their results, and outlines a set of policy recommendations that states should adopt to improve the performance of full-time virtual charter schools across the country.
National Alliance for Public Charter Schools (2016). A call to action to improve the quality of full-time virtual charter public schools.
This Data Point examines the relationship between public and private school principals’ perceived influence over various decisions made at their schools before the coronavirus pandemic. This information was reported by U.S private and public school principals on the principal survey of the 2017–18 National Teacher and Principal Survey.
National Center for Education Statistics at IES. (2021). Principals’ Perceptions of Influence Over Decisions at Their Schools in 2017-2018.
This correlational study is the first internationally comparative data analysis of the impact of computer use of student performance, based on OECD’s PISA 2003 assessment of educational performance by 15-year olds. It backs up previous OECD analysis about the importance of computers in schools.
O. E. C. D. (2006). Regular computer users perform better in key school subjects. Organization for Economic Co-operation and Development (OECD)
The report highlights the importance of bolstering students’ ability to navigate through digital texts. It also examines the relationship among computer access in schools, computer use in classrooms, and performance in the PISA assessment.
OECD (2015). Students, computers and learning: Making the connection. Paris, France: OECD Publishing. https://www.oecd-ilibrary.org/docserver/9789264239555-en.pdf?expires=1591112620&id=id&accname=guest&checksum=E108C3D7C7CC829D93048D0ED6CB4635
That being said, the Covid-19 crisis strikes at a point when most of the education systems covered by the OECD’s latest round of the Programme for International Student Assessment (PISA) are not ready for the world of digital learning opportunities. Below are some sobering numbers.
OECD (2020). Learning remotely when schools close: How well are students and schools prepared? Insights from PISA. https://read.oecd-ilibrary.org/view/?ref=127_127063-iiwm328658&title=Learning-remotely-when-schools-close
Based on results from PISA 2012, this Organisation for Economic Cooperation and Development (OECD) report examines how students’ access to and use of information and communication technology (ICT) devices has evolved in recent years, and explores how education systems and schools are integrating ICT into students’ learning experiences.
OECD (2015), Students, Computers and Learning: Making the Connection, OECD Publishing, Paris.
DOI: http://dx.doi.org/10.1787/9789264239555-en
This article examines the effectiveness of a technology-based algebra curriculum in a wide
variety of middle schools and high schools in seven states.
Pane, J. F., Griffin, B. A., McCaffrey, D. F., & Karam, R. (2014). Effectiveness of Cognitive Tutor Algebra I at scale. Educational Evaluation and Policy Analysis, 36(2), 127–144.
This report examines achievement in 62 public charter and district schools that are pursuing a variety of personalized learning practices, and examines implementation details in 32 of those schools
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued progress: Promising evidence on personalized learning. Santa Monica, CA: RAND Corporation. http://www.rand.org/pubs/research_reports/RR1365.html
This study assesses the learning effectiveness and motivational appeal of a computer game for learning computer memory concepts, which was designed according to the curricular objectives and the subject matter of the Greek high school Computer Science (CS) curriculum, as compared to a similar application, but lacking the gaming aspect.
Papastergiou, M. (2009). Digital game-based learning in high school computer science education: Impact on educational effectiveness and student motivation. Computers & Education, 52(1), 1-12.
The purpose of the personalized learning framework is to open student pathways and encourage student voice and choice in their education. Personalized learning is enabled by instructional environments that are competency-based. By tapping into modalities of blended and online learning using advanced technologies, personalized learning is enhanced by transparent data and abundant content resources flowing from redesigned instructional models to address the standards.
Patrick, S., Kennedy, K., & Powell, A. (2013). Mean what you say: Defining and integrating personalized, blended and competency education. https://files.eric.ed.gov/fulltext/ED561301.pdf
Are there computers in the classroom? Does it matter? Students, Computers and Learning: Making the Connection examines how students’ access to and use of information and communication technology (ICT) devices has evolved in recent years.
Peña-López, I. (2015). Students, Computers and Learning. Making the Connection. OECD Publishing.
The current study investigated whether prompting students to engage in generative learning strategies improves students' subsequent judgments of learning and self-regulation. Seventy- eight middle school students in a pre-algebra class completed worksheets in between problem-solving sessions in a computer-based cognitive tutor.
Pilegard, C., & Fiorella, L. (2016). Helping students help themselves: Generative learning strategies improve middle school students’ self-regulation in a cognitive tutor. Computers in Human Behavior, 65, 121–126.
The COVID pandemic has meant that large numbers of students are learning by Zoom instead of in classrooms, and schools are struggling to reach students who don't have sufficient access to the internet or computers. In all this disruption, there is still one constant: the importance of effective, skilled teachers.
Pomerance, L., & Walsh, K. (2020). 2020 Teacher Prep Review: Clinical Practice & Classroom Management. National Council on Teacher Quality.
For many students, school this year looks very different from the way it did in the past. The COVID pandemic has meant that large numbers of students are learning by Zoom instead of in classrooms, and schools are struggling to reach students who don’t have sufficient access to the internet or computers. In all this disruption, there is still one constant: the importance of effective, skilled teachers.
Pomerance, L., & Walsh, K. (2020). 2020 Teacher Prep Review: Clinical Practice & Classroom Management. National Council on Teacher Quality.
This paper discusses definitions of blended learning and explores ways in which blended learning is being developed by a number of schools
Powell, A., Watson, J., Staley, P., Patrick, S., Horn, M., Fetzer, L.,…Verma, S. (2015). Blended learning: The evolution of online and face-to-face education from 2008–2015. http://www.inacol.org/wp-content/uploads/2015/07/iNACOL_Blended-Learning-The-Evolution-of-Online-And-Face-to-Face-Education-from-2008-2015.pdf
The authors examined the implementation of a blended learning program for literacy instruction across kindergarten through Grade 5 in a Title I urban elementary school, including a population of students (18%) who are English learners.
Prescott, J. E., Bundschuh, K., Kazakoff, E. R., & Macaruso, P. (2018). Elementary school-wide implementation of a blended learning program for reading intervention. Journal of Educational Research, 111(4), 497–506.
A survey of 2,462 Advanced Placement (AP) and National Writing Project (NWP) teachers finds that digital technologies have helped them in teaching their middle school and high school students in many ways. At the same time, the internet, mobile phones, and social media have brought new challenges to teachers.
Purcell, K., Heaps, A., Buchanan, J., & Friedrich, L. (2013). How teachers are using technology at home and in their classrooms. Washington, DC: Pew Research Center’s Internet & American Life Project. Retrieved from http://www.pewinternet.org/2013/02/28/how-teachers-are-using-technology-at-home-and-in-their-classrooms/
The quality of the teacher workforce is especially important in the early grades, when teachers bear an extraordinary responsibility, building a solid foundation for students in both the knowledge and skills they will need to succeed in later grades, as well as in their future lives. The past year and a half has laid bare the tremendous challenges teachers face and the essential role they play in supporting students. As the pandemic abates and we reckon with the damage it wrought, we must acknowledge that recovery places unprecedented demands on our education system and its teachers.
Putman, H. & Walsh, K. (2021). Driven by Data: Using Licensure Tests to Build a Strong, Diverse Teacher Workforce. Washington, D.C.: National Council on Teacher Quality.
Children across the country face unprecedented levels of missed instruction as a result of the pandemic. As millions of students and teachers continue remote learning, experiment with hybrid models, and ultimately return to their classrooms, our nation has a greater need than ever for teachers who have the skills to address the challenges ahead.
Putman, H., & Walsh, K. (2021). State of the States 2021: Teacher Preparation Policy. National Council on Teacher Quality.
This chapter elaborates on a definition of personalized learning, delineates aspects of competency inherent in the definition, traces the evolution of personalized learning, and explores the complementarity of the personal and the interpersonal in personalized education.
Redding, S. (2016). Competencies and personalized learning. In M. Murphy, S. Redding, & J. Twyman (Eds.), Handbook on personalized learning for states, districts, and schools (pp. 3–18). Philadelphia, PA: Temple University, Center on Innovations in Learning.
This handbook is meant to be a resource for anyone interested in research, practice, or policy in the field of K-12 online and blended learning. This handbook is a collection of what we currently know about research in the field.
Rice, K. (2014). Research and history of policies in K–12 online and blended learning. In R. E. Ferdig & K. Kennedy (Eds.), Handbook of research on K–12 online and blended learning (pp. 51–82). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://pdfs.semanticscholar.org/cfcb/578ede7dc55b6ea97bdb1a37fe6243bb2bc9.pdf
This research brief is one in a series for the Back on Track Study that presents the findings regarding the relative impact of online versus face-to-face Algebra I credit recovery on students’ academic outcomes, aspects of implementation of the credit recovery courses, and the effects over time of expanding credit recovery options for at-risk students.
Rickles, J., Heppen, J., Allensworth, E., Sorenson, N., Walters, K., & Clements, P. (2018). Getting back on track: The effect of online versus face-to-face credit recovery in Algebra I on high school credit accumulation and graduation. American Institutes for Research, Washington, DC; University of Chicago Consortium on School Research, Chicago, IL. https://www.air.org/system/files/downloads/report/Effect-Online-Versus-Face-to-Face-Credit-Recovery-in-Algebra-High-School-Credit-Accumulation-and-Graduation-June-2017.pdf
This article is a speculation on the use of technology in the future of education.
Rotherham, A., J. (2006). Hard Wiring: What the Next Decade in Education Policy Means for Educational Technology. American Institutes of Research (AIR).
This study analyzes five large-scale studies of education technology: (1) "Meta-Analytic Studies of Findings on Computer-Based Instruction" (J.A. Kulik); (2) "Report on the Effectiveness of Technology in Schools, 1990-1997" (J. Sivin-Kachala); (3) "Evaluating the Apple Classrooms of Tomorrow" (E.L. Baker, M. Gearhart, & J.L. Herman) ; (4) "West Virginia's Basic Skills/Computer Education Program: An Analysis of Student Achievement" (D. Mann, et al.); and (5) "Does It Compute? The Relationship between Educational Technology and Student Achievement in Mathematics.
Schacter, J. (1999). The impact of education technology on student achievement: What the most current research has to say. Milken Exchange on Education Technology.
This study investigated the potential benefits of a blended learning approach on the reading skills of low socioeconomic status students in Grades 1 and 2.
Schechter, R., Macaruso, P., Kazakoff, E. R., & Brooke, E. (2015). Exploration of a blended learning approach to reading instruction for low SES students in early elementary grades. Computers in the Schools, 32, 183–200.
This chapter will cover the history and progression of online and blended learning in K-12 education in the United States. Program categories covered include state virtual schools, fully online schools, and blended learning.
Schwirzke, K., Vashaw, L., & Watson, J. (2018). A history of K–12 online and blended instruction in the United States. In K. Kennedy & R. E. Ferdig (Eds.), Handbook of research on K–12 online and blended learning (2nd ed., pp. 7–20). Pittsburgh, PA: Carnegie Mellon University, ETC Press. https://www.academia.edu/37013644/Handbook_of_Research_on_K-12_and_Blending_Learning_Second_Editio.pdf
This study evaluated the efficacy of Accelerated Reader, a computer-based learning program, at improving student reading.
Shannon, L. C., Styers, M. K., Wilkerson, S. B., & Peery, E. (2015). Computer-assisted learning in elementary reading: A randomized control trial. Computers in the Schools, 32(1), 20–34.
n the before-times, one of the hallmarks of spring for parents, students and teachers was the ramp-up toward federally mandated standardized tests. COVID-19 had something to say about that last school year, and in mid-March, the U.S. Department of Education granted states a blanket exemption from standardized testing.
Silver, D. & Polikoff, M. (2020, November 16). Getting testy about testing: K–12 parents support canceling standardized testing this spring. That might not be a good idea. The 74.
Members of ISTE’s professional learning networks have been hard at work identifying key practices for successful online learning. Here are some of the best ideas from educators from around the world, many of whom have already been teaching during coronavirus closures.
Snelling, J., & Fingal, D. (2020, March 16). 10 strategies for online learning during a coronavirus outbreak. Washington, DC: International Society for Technology in Education. https://www.iste.org/explore/learning-during-covid-19/10-strategies-online-learning-during-coronavirus-outbreak
One-to-one computing and bring-your-own-device (BYOD) initiatives are helping to ensure that each student has a device with which to work. Although these technologies can support personalized learning, they haven’t yet transformed our schools into 21st-century utopias where students engage in interactive, individualized learning applications and access information in order to collaboratively solve problems while teachers roam the learning space, coaching and mentoring as their engaged and self-directed students happily work.
Soto, M. S. (2016). Flipped learning as a path to personalization. In M. Murphy, S. Redding, & J. Twyman (Eds.), Handbook on personalized learning for states, districts, and schools (pp. 73–87). Philadelphia, PA: Temple University, Center on Innovations in Learning.
Blended learning is gaining considerable popularity in American classrooms, but the question remains: Is there strong evidence that the strategy helps K-12 students?
Sparks, S. (2015, April 13). Blended learning research yields limited results. Education Week.https://www.edweek.org/ew/articles/2015/04/15/blended-learning-research-yields-limited-results.html
Which blended-learning model should they choose? Are Station Rotations the ideal, or Flex studios? Is Carpe Diem’s Individual Rotation the gold standard, FirstLine’s Lab Rotation, Summit’s Flex model, or Woodland Park’s Flipped Classroom?
Staker, H. (2014, January 10). Which blended model should K–12 schools choose? Christensen Institute. http://www.christenseninstitute.org/which-blended-model-should-schools-choose/
This book provides a practical, streamlined approach for creating effective learning experiences by blending online activities and the best of face-to-face teaching.
Stein, J., & Graham, C. (2014). Essentials for blended learning: A standards-based guide. New York, NY: Routledge
Using the U.S. PISA results to investigate the relationship between school computer use and student academic performance
Sun, L., & Bradley, K. D. (2003). Using the US PISA results to investigate the relationship between school computer use and student academic performance.
This research study employs a second-order meta-analysis procedure to summarize 40 years of research activity addressing the question, does computer technology use affect student achievement in formal face-to-face classrooms as compared to classrooms that do not use technology? A study-level meta-analytic validation was also conducted for purposes of comparison.
Tamim, R., Bernard, R., Borokhovski, E., Abrami, P., & Schmid, R. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational Research, 81(1), 4–28. https://pdfs.semanticscholar.org/f8fa/160a2552568e102b0cac11ad0a48fc635b0e.pdf?_ga=2.248632325.343379521.1591299854-1379934943.1547574243
The COVID-19 pandemic has suddenly shifted classroom learning to the home and has required parents and other caregivers to take on the role of teacher and behavior manager. In many homes, this rapid shift in roles and a new learning environment for students has led to frustration and possible learning loss.
Taylor, M. (2020). Supporting Positive At-Home Behaviors Among Elementary Students. U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, What Works Clearinghouse.
Standards-based instruction and differentiated learning can be compatible approaches in today's classrooms.
Tomlinson, C. A. (2000). Reconcilable differences: Standards-based teaching and differentiation. Educational Leadership, 58(1), 6–11. http://eric.ed.gov/?id=EJ614602
This paper examines some of the challenges and strengths of virtual schools, it offers questions to consider when deciding whether or not a virtual school option would be ideal, and it draws conclusions, which provide an outlook for the future of virtual schools in k-12 education.
Toppin, I. N., & Toppin, S. M. (2016). Virtual schools: The changing landscape of K–12 education in the U.S. Education and Information Technologies, 21(6), 1571–1581.
The purpose of the study was to determine whether the use of the Internet integrated into an eight week social studies unit at the fourth grade level of elementary school would affect students' achievement in social studies or students' attitudes toward school, reading, writing, geography, history, maps, computers, and typing.
Toriskie, J. M. (1999). The effects of Internet usage on student achievement and student attitudes (pp. 1-248).
This experiment evaluated the effects of requiring overt answer construction in computer-based programmed instruction using an alternating treatments design.
Tudor, R. M. (1995). Isolating the effects of active responding in computer‐based instruction. Journal of Applied Behavior Analysis, 28(3), 343-344.
A group experimental design compared passive reading, covert responding to frame blanks, and actively typing answers to blanks with and without immediate confirmation of correctness. Results strongly supported the effectiveness of requiring the student to supply fragments of a terminal repertoire while working through a program.
Tudor, R. M., & Bostow, D. E. (1991). Computer‐programmed instruction: The relation of required interaction to practical application. Journal of Applied Behavior Analysis, 24(2), 361-368.
The U.S. Department of Education Office of Educational Technology created this guide to assist software developers, startups and entrepreneurs in gaining specialized knowledge and is designed to help apply technology in smart ways to solve persistent problems in education.
U.S. Department of Education, Office of Educational Technology, Ed Tech Developer’s Guide, Washington, D.C., 2015.
The U.S. Department of Education Office of Educational Technology published this brief that is intended to help policymakers and administrators understand how analytics and data mining have been—and can be—applied for educational improvement while rigorously protecting student privacy.
U.S. Department of Education, Office of Educational Technology, Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief, Washington, D.C., 2012.
This report is the 2016 National Education Technology Plan. It is the latest policy document on educational technology from the U.S. Department of Education Office of Educational Technology. It sets a national vision and plan for learning enabled by technology through building on the work of leading education researchers; district, school, and higher education leaders; classroom teachers; developers; entrepreneurs; and nonprofit organizations.
Category: 172, 173, 174, 175, 180, 189, 192, 194, 196
U.S. Department of Education, Office of Educational Technology, Future Ready Learning: Reimagining the Role of Technology in Education, Washington, D.C., 2016.
The Future Ready Schools: Building Technology Infrastructure for Learning guide provides practical, actionable information intended to help district leaders (superintendents, principals, and teacher leaders) navigate the many decisions required to deliver cutting-edge connectivity to students. It presents a variety of options for district leaders to consider when making technology infrastructure decisions, recognizing that circumstances and context vary greatly from district to district.
U.S. Department of Education, Office of Educational Technology, Future Ready Schools: Building Technology Infrastructure for Learning, Washington, D.C., 2014.
The U.S. Department of Education and U.S. Department of Health and Human Services collaborated in the development of the Early Learning and Educational Technology Policy Brief to promote developmentally appropriate use of technology in homes and early learning settings.
U.S. Department of Education, Office of Educational Technology, Policy Brief on Early Learning and Use of Technology, Washington, D.C., 2016.
The U.S. Department of Education Office of Educational Technology published this report that details the results of exploratory research on how to design and manage online communities of practice for educators.
U.S. Department of Education. (2014, April). Designing Online Communities of Practice for Educators to Create Value. Retrieved from http://tech.ed.gov/wp-content/uploads/2014/10/Exploratory-Research-on-Designing-Online-Communities-FINAL.pdf.
In this book, we’ll briefly explore why we’re still only in the early stages of the educational technology revolution. Then we’ll look at how some innovative schools and other organizations are pioneering new methods of personalized learning built on new technology
Vanderkam, L. (2013). Blended learning: A wise giver’s guide to supporting tech-assisted teaching. Washington, DC: Philanthropy Roundtable.https://www.philanthropyroundtable.org/wp-content/uploads/2022/02/blended_learning_guidebook.pdf
This paper considers issues surrounding the use data and data based decision-making in schools. It describes the state of the field and possible future directions in school based technology.
Wayman, Jeffrey C., Sam Stringfield, and Mary Yakimowski. "Software enabling school improvement through analysis of student data." (2004).
In the context of trying to improve reading proficiency in elementary school students, this study investigated the use of digital technology as part of a blended learning program, Core5, in kindergarten and first grade classes.
Wilkes, S., Kazakoff, E. R., Prescott, J. E., Bundschuh, K., Hook, P. E., Wolf, R.,… Macaruso, P. (2020). Measuring the impact of a blended learning model on early literacy growth. Journal of Computer Assisted Learning. Advance online publication. https://onlinelibrary.wiley.com/doi/full/10.1111/jcal.12429
Two-thirds of educators say they’re concerned about the health implications of resuming in-person instruction in the fall, and some say the coronavirus outbreak—and its dramatic effects on schooling—has increased the likelihood that they will leave the classroom altogether.
Will, M. (2020). Teachers say they’re more likely to leave the classroom because of coronavirus. Education Week.
This paper examines the impact of computers on student achievement has concluded that providing each student with a computer has a modest but positive effect on student achievement. This meta-analysis included 10 studies from more than 15 years of research on the topic.
Zheng, B., Warschauer, M., Lin, C. H., & Chang, C. (2016). Learning in one-to-one laptop environments: A meta-analysis and research synthesis. Review of Educational Research, 86(4), 1052–1084.
This overview presents a general definition of self-regulated academic learning and identifies the distinctive features of this capability for acquiring knowledge and skill.
Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3–17.