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Fein, Benedikt; Graßl, Isabella; Beck, Florian; Fraser, Gordon – International Educational Data Mining Society, 2022
The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…
Descriptors: Artificial Intelligence, Learning Analytics, Programming, Programming Languages
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Lee, Jaekyung; Jaeger, Joseph – International Journal of Educational Methodology, 2021
What are missing in the U.S. education policy of "college for all" are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students'…
Descriptors: College Readiness, Longitudinal Studies, Databases, Artificial Intelligence
Doran, Elizabeth; Li, Ann; Aikens, Nikki; Dang, Myley; Kopack Klein, Ashley; Reid, Natalie; Scott, Myah; Rakibullah, Sharika; Cannon, Judy; Harrington, Jeff; Larson, Addison; Bernstein, Sara; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low incomes get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Social Services, Low Income Students, Federal Programs, Family Relationship
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Israel-Fishelson, Rotem; Hershkovitz, Arnon – Journal of Educational Computing Research, 2020
Persistence has proven to be a great challenge in online learning environments. Gaming and interactivity have been suggested as essential features in reducing dropout and increasing persistence in online learning. Yet in interactive game-based learning environments, persistence in moving forward in the game may come at the expense of investing in…
Descriptors: Game Based Learning, Elementary School Students, Thinking Skills, Persistence
René F. Kizilcec; Maximilian Chen; Kaja K. Jasinska; Michael Madaio; Amy Ogan – Grantee Submission, 2021
School closures due to teacher strikes or political unrest in low-resource contexts can adversely affect children's educational outcomes and career opportunities. Phone-based educational technologies could help bridge these gaps in formal schooling, but it is unclear whether or how children and their families will use such systems during periods…
Descriptors: Electronic Learning, Handheld Devices, Telecommunications, Educational Technology
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René F. Kizilcec; Maximillian Chen; Kaja K. Jasinska; Michael Madaio; Amy Ogan – AERA Open, 2021
School closures due to teacher strikes or political unrest in low-resource contexts can adversely affect children's educational outcomes and career opportunities. Phone-based educational technologies could help bridge these gaps in formal schooling, but it is unclear whether or how children and their families will use such systems during periods…
Descriptors: Electronic Learning, Handheld Devices, Telecommunications, Educational Technology
Yang, Dandan; Zargar, Elham; Adams, Ashley Marie; Day, Stephanie L.; Connor, Carol McDonald – Assessment for Effective Intervention, 2021
Stealth assessment has been successfully embedded in educational games to measure students' learning in an unobtrusive and supportive way. This study explored the possibility of applying stealth assessment in a digital reading platform and sought to identify potential in-system indicators of students' digital learning outcomes. Utilizing the user…
Descriptors: Electronic Publishing, Books, Computer Assisted Instruction, Reading Processes