This work is licensed under the Creative Commons Attribution 4.0 International License.
Alderman, M. K., & MacDonald, S. (2015). A self-regulatory approach to classroom management: Empowering students and teachers. Kappa Delta Pi Record, 51(2), 52–56. https://doi.org/10.1080/00228958.2015.1023145AldermanM. K.MacDonaldS. (2015). A self-regulatory approach to classroom management: Empowering students and teachers. Kappa Delta Pi Record, 51 (2), 52–56. https://doi.org/10.1080/00228958.2015.1023145Search in Google Scholar
Araka, E., Maina, E., Gitonga, R., & Oboko, R. (2020). Research trends in measurement and intervention tools for self-regulated learning for e-learning environments—systematic review (2008–2018). Research and Practice in Technology Enhanced Learning, 15(1), 1–21. https://doi.org/10.1186/S41039-020-00129-5ArakaE.MainaE.GitongaR.ObokoR. (2020). Research trends in measurement and intervention tools for self-regulated learning for e-learning environments—systematic review (2008–2018). Research and Practice in Technology Enhanced Learning, 15 (1), 1–21. https://doi.org/10.1186/S41039-020-00129-5Search in Google Scholar
Arifin, S., Setyosari, P., Sa’dijah, C., & Kuswandi, D. (2020). The effect of problem-based learning by cognitive style on critical thinking skills and students’ retention. Journal of Technology and Science Education, 10(2), 271–281. https://doi.org/10.3926/jotse.790ArifinS.SetyosariP.Sa’dijahC.KuswandiD. (2020). The effect of problem-based learning by cognitive style on critical thinking skills and students’ retention. Journal of Technology and Science Education, 10(2), 271–281. https://doi.org/10.3926/jotse.790Search in Google Scholar
Assi, A., & Cohen, A. (2023). Video-based SRL program for teachers and students. In Proceedings of the 15th International Conference on Education Technology and Computers (pp. 175–182).AssiA.CohenA. (2023). Video-based SRL program for teachers and students. In Proceedings of the 15th International Conference on Education Technology and Computers (pp. 175–182).Search in Google Scholar
Breitwieser, J., Nobbe, L., Biedermann, D., & Brod, G. (2023). Boosting self-regulated learning with mobile interventions: Planning and prompting help children maintain a regular study routine. Computers & Education, 205(2023), 1–17. https://doi.org/10.1016/j.compedu.2023.104879BreitwieserJ.NobbeL.BiedermannD.BrodG. (2023). Boosting self-regulated learning with mobile interventions: Planning and prompting help children maintain a regular study routine. Computers & Education, 205(2023), 1–17. https://doi.org/10.1016/j.compedu.2023.104879Search in Google Scholar
Cáceres, M., Nussbaum, M., González, F., & Gardulski, V. (2021). Is more detailed feedback better for problem-solving? Interactive Learning Environments, 29(7), 1189–1210. https://doi.org/1 0.1080/10494820.2019.1619595CáceresM.NussbaumM.GonzálezF.GardulskiV. (2021). Is more detailed feedback better for problem-solving?Interactive Learning Environments, 29(7), 1189–1210. https://doi.org/1 0.1080/10494820.2019.1619595Search in Google Scholar
Chen, X., Breslow, L., & De Boer, J. (2018). Analyzing productive learning behaviors for students using immediate corrective feedback in a blended learning environment. Computers & Education, 117(2), 59–74. https://doi.org/10.1016/j.compedu.2017.09.013ChenX.BreslowL.De BoerJ. (2018). Analyzing productive learning behaviors for students using immediate corrective feedback in a blended learning environment. Computers & Education, 117(2), 59–74. https://doi.org/10.1016/j.compedu.2017.09.013Search in Google Scholar
Cohen, G., Assi, A., Cohen, A., Bronshtein, A., Glick, D., Gabbay, H., & Ezra, O. (2022). Video-Assisted Self-Regulated Learning (SRL) Training: COVID-19 Edition. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds.), Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, (p.p. 59–73). Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_5CohenG.AssiA.CohenA.BronshteinA.GlickD.GabbayH.EzraO. (2022). Video-Assisted Self-Regulated Learning (SRL) Training: COVID-19 Edition. In: HilligerI.Muñoz-MerinoP.J.De LaetT.Ortega-ArranzA.FarrellT. (eds.), Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, (p.p. 59–73). Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_5Search in Google Scholar
Cousins, E., Bol, L., & Luo, T. (2022). Exploring long term impacts of self-regulated learning interventions in K 12 contexts: A systematic review. Current Issues in Education, 23(1), 1–26. https://doi.org/10.14507/cie.vol23iss1.2013CousinsE.BolL.LuoT. (2022). Exploring long term impacts of self-regulated learning interventions in K 12 contexts: A systematic review. Current Issues in Education, 23(1), 1–26. https://doi.org/10.14507/cie.vol23iss1.2013Search in Google Scholar
Csapó, B., & Funke, J. (2017). The nature of problem solving. OECD. http://dx.doi.org/10.1787/9789264273955-enCsapóB.FunkeJ. (2017). The nature of problem solving. OECD. http://dx.doi.org/10.1787/9789264273955-enSearch in Google Scholar
Davidson, J. E., & Sternberg, R. J. (Eds.). (2003). The psychology of problem solving. Cambridge University Press.DavidsonJ. E.SternbergR. J. (Eds.). (2003). The psychology of problem solving. Cambridge University Press.Search in Google Scholar
de Bruijn-Smolders, M., Timmers, C. F., Gawke, J. C., Schoonman, W., & Born, M. P. (2016). Effective self-regulatory processes in higher education: Research findings and future directions. A systematic review. Studies in Higher Education, 41(1), 139–158. https://doi.org/10.1080/03075079.2014.915302de Bruijn-SmoldersM.TimmersC. F.GawkeJ. C.SchoonmanW.BornM. P. (2016). Effective self-regulatory processes in higher education: Research findings and future directions. A systematic review. Studies in Higher Education, 41 (1), 139–158. https://doi.org/10.1080/03075079.2014.915302Search in Google Scholar
De Smul, M., Heirweg, S., Devos, G., & Van Keer, H. (2019). School and teacher determinants underlying teachers’ implementation of self-regulated learning in primary education. Research Papers in Education, 34(6), 701–724. https://doi.org/10.1080/02671522.2018.1536888De SmulM.HeirwegS.DevosG.Van KeerH. (2019). School and teacher determinants underlying teachers’ implementation of self-regulated learning in primary education. Research Papers in Education, 34(6), 701–724. https://doi.org/10.1080/02671522.2018.1536888Search in Google Scholar
Dignath, C., & Büttner, G. (2008). Components of fostering self-regulated learning among students: A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3(3), 231–264. https://doi.org/10.1007/s11409-008-9029-xDignathC.BüttnerG. (2008). Components of fostering self-regulated learning among students: A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3(3), 231–264. https://doi.org/10.1007/s11409-008-9029-xSearch in Google Scholar
Dignath, C., Buettner, G., & Langfeldt, H. P. (2008). How can primary school students learn self-regulated learning strategies most effectively? A metaanalysis on self-regulation training programmes. Educational Research Review, 3(2), 101–129. https://doi.org/10.1016/j.edurev.2008.02.003DignathC.BuettnerG.LangfeldtH. P. (2008). How can primary school students learn self-regulated learning strategies most effectively? A metaanalysis on self-regulation training programmes. Educational Research Review, 3(2), 101–129. https://doi.org/10.1016/j.edurev.2008.02.003Search in Google Scholar
Dresel, M., & Haugwitz, M. (2008). A computer-based approach to fostering motivation and self-regulated learning. The Journal of Experimental Education, 77(1), 3–20. https://doi.org/10.3200/JEXE.77.1.3-20DreselM.HaugwitzM. (2008). A computer-based approach to fostering motivation and self-regulated learning. The Journal of Experimental Education, 77 (1), 3–20. https://doi.org/10.3200/JEXE.77.1.3-20Search in Google Scholar
Efklides, A., & Metallidou, P. (2020). Applying metacognition and self-regulated learning in the classroom. Oxford Research Encyclopedia of Education. https://doi.org/10.1093/acrefore/9780190264093.013.961EfklidesA.MetallidouP. (2020). Applying metacognition and self-regulated learning in the classroom. Oxford Research Encyclopedia of Education. https://doi.org/10.1093/acrefore/9780190264093.013.961Search in Google Scholar
Fössl, T., Ebner, M., Schön, S., & Holzinger, A. (2016). A field study of a video supported seamless-learningsetting with elementary learners. Educational Technology & Society, 19(1), 321–336. https://www.jstor.org/stable/jeductechsoci.19.1.321FösslT.EbnerM.SchönS.HolzingerA. (2016). A field study of a video supported seamless-learningsetting with elementary learners. Educational Technology & Society, 19(1), 321–336. https://www.jstor.org/stable/jeductechsoci.19.1.321Search in Google Scholar
Galatsopoulou, F., Kenterelidou, C., Kotsakis, R., & Matsiola, M. (2022). Examining students’ perceptions towards video based and video assisted active learning scenarios in journalism and communication courses. Education Sciences, 12(2), 74. https://doi.org/10.3390/educsci12020074GalatsopoulouF.KenterelidouC.KotsakisR.MatsiolaM. (2022). Examining students’ perceptions towards video based and video assisted active learning scenarios in journalism and communication courses. Education Sciences, 12 (2), 74. https://doi.org/10.3390/educsci12020074Search in Google Scholar
Goldin, I., Narciss, S., Foltz, P., & Bauer, M. (2017). New directions in formative feedback in interactive learning environments. International Journal of Artificial Intelligence in Education, 27(3), 385–392. https://doi.org/10.1007/s40593-016-0135-7GoldinI.NarcissS.FoltzP.BauerM. (2017). New directions in formative feedback in interactive learning environments. International Journal of Artificial Intelligence in Education, 27(3), 385–392. https://doi.org/10.1007/s40593-016-0135-7Search in Google Scholar
Hanewald, R. (2013). Transition between primary and secondary school: Why it is important and how it can be supported. Australian Journal of Teacher Education, 38(1), 62–74. https://doi.org/10.14221/ajte.2013v38n1.7HanewaldR. (2013). Transition between primary and secondary school: Why it is important and how it can be supported. Australian Journal of Teacher Education, 38(1), 62–74. https://doi.org/10.14221/ajte.2013v38n1.7Search in Google Scholar
Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.1HattieJ. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.Search in Google Scholar
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487HattieJ.TimperleyH. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487Search in Google Scholar
Heaysman, O., & Kramarski, B. (2022). Enhancing students’ metacognition, achievement and transfer between domains: Effects of the simulative ‘SRL-AIDE’ parallel teacher–student program. International Journal of Educational Research, 116(2022), 102074. https://doi.org/10.1016/j.ijer.2022.102074HeaysmanO.KramarskiB. (2022). Enhancing students’ metacognition, achievement and transfer between domains: Effects of the simulative ‘SRL-AIDE’ parallel teacher–student program. International Journal of Educational Research, 116(2022), 102074. https://doi.org/10.1016/j.ijer.2022.102074Search in Google Scholar
He, W., Holton, A., Farkas, G., & Warschauer, M. (2016). The effects of flipped instruction on out of class study time, exam performance, and student perceptions. Learning and Instruction, 45(2016), 61–71. https://doi.org/10.1016/j.learninstruc.2016.07.001HeW.HoltonA.FarkasG.WarschauerM. (2016). The effects of flipped instruction on out of class study time, exam performance, and student perceptions. Learning and Instruction, 45(2016), 61–71. https://doi.org/10.1016/j.learninstruc.2016.07.001Search in Google Scholar
Huertas, A., Vesga, G., Vergara, A., & Romero, M. (2015). Effect of a computational scaffolding in the development of secondary students’ metacognitive skills. International Journal of Technology Enhanced Learning, 7(2), 143–159. https://doi.org/10.1504/IJTEL.2015.072030HuertasA.VesgaG.VergaraA.RomeroM. (2015). Effect of a computational scaffolding in the development of secondary students’ metacognitive skills. International Journal of Technology Enhanced Learning, 7(2), 143–159. https://doi.org/10.1504/IJTEL.2015.072030Search in Google Scholar
Jansen, R. S., van Leeuwen, A., Janssen, J., Conijn, R., & Kester, L. (2020). Supporting learners’ selfregulated learning in Massive Open Online Courses. Computers & Education, 146(2020), 103771. https://doi.org/10.1016/j.compedu.2019.103771JansenR. S.van LeeuwenA.JanssenJ.ConijnR.KesterL. (2020). Supporting learners’ selfregulated learning in Massive Open Online Courses. Computers & Education, 146(2020), 103771. https://doi.org/10.1016/j.compedu.2019.103771Search in Google Scholar
Jansen, R. S., van Leeuwen, A., Janssen, J., Kester, L. (2018). Validation of the Revised Self-regulated Online Learning Questionnaire. In V. Pammer-Schindler, M. Pérez-Sanagustín, H. Drachsler, R. Elferink, & M. Scheffel, (Eds.), Lifelong technology-enhanced learning. EC-TEL 2018. Lecture Notes in computer science (pp. 116–121). Springer. https://doi.org/10.1007/978-3-319-98572-5_9JansenR. S.van LeeuwenA.JanssenJ.KesterL. (2018). Validation of the Revised Self-regulated Online Learning Questionnaire. In Pammer-SchindlerV.Pérez-SanagustínM.DrachslerH.ElferinkR.ScheffelM., (Eds.), Lifelong technology-enhanced learning. EC-TEL 2018. Lecture Notes in computer science (pp. 116–121). Springer. https://doi.org/10.1007/978-3-319-98572-5_9Search in Google Scholar
Kim, M. C., & Hannafin, M. J. (2011). Scaffolding problem solving in technology-enhanced learning environments (TELEs): Bridging research and theory with practice. Computers & Education, 56(2), 403–417. https://doi.org/10.1016/j.compedu.2010.08.024KimM. C.HannafinM. J. (2011). Scaffolding problem solving in technology-enhanced learning environments (TELEs): Bridging research and theory with practice. Computers & Education, 56(2), 403–417. https://doi.org/10.1016/j.compedu.2010.08.024Search in Google Scholar
Kistner, S., Rakoczy, K., Otto, B., Dignath-van Ewijk, C., Büttner, G., & Klieme, E. (2010). Promotion of self-regulated learning in classrooms: Investigating frequency, quality, and consequences for student performance. Metacognition and Learning, 5(2), 157–171. https://doi.org/10.1007/s11409-010-9055-3KistnerS.RakoczyK.OttoB.Dignath-van EwijkC.BüttnerG.KliemeE. (2010). Promotion of self-regulated learning in classrooms: Investigating frequency, quality, and consequences for student performance. Metacognition and Learning, 5(2), 157–171. https://doi.org/10.1007/s11409-010-9055-3Search in Google Scholar
Khoiriyah, A. J., & Husamah, H. (2018). Problembased learning: Creative thinking skills, problemsolving skills, and learning outcome of seventh grade students. JPBI (Jurnal Pendidikan Biologi Indonesia), 4(2), 151–160. https://doi.org/10.22219/jpbi.v4i2.5804KhoiriyahA. J.HusamahH. (2018). Problembased learning: Creative thinking skills, problemsolving skills, and learning outcome of seventh grade students. JPBI (Jurnal Pendidikan Biologi Indonesia), 4(2), 151–160. https://doi.org/10.22219/jpbi.v4i2.5804Search in Google Scholar
Kostons, D., Van Gog, T., & Paas, F. (2012). Training self-assessment and task-selection skills: A cognitive approach to improving self-regulated learning. Learning and Instruction, 22(2), 121–132. https://doi.org/10.1016/j.learninstruc.2011.08.004KostonsD.Van GogT.PaasF. (2012). Training self-assessment and task-selection skills: A cognitive approach to improving self-regulated learning. Learning and Instruction, 22(2), 121–132. https://doi.org/10.1016/j.learninstruc.2011.08.004Search in Google Scholar
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42–78. https://doi.org/10.3102/0034654315581420KulikJ. A.FletcherJ. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42–78. https://doi.org/10.3102/0034654315581420Search in Google Scholar
Lai, C. L., & Hwang, G. J. (2016). A self-regulated flipped classroom approach to improving students’ learning performance in a mathematics course. Computers & Education, 100(2016), 126–140. https://doi.org/10.1016/j.compedu.2016.05.006LaiC. L.HwangG. J. (2016). A self-regulated flipped classroom approach to improving students’ learning performance in a mathematics course. Computers & Education, 100(2016), 126–140. https://doi.org/10.1016/j.compedu.2016.05.006Search in Google Scholar
Li, J., Ye, H., Tang, Y. Z., & Hu, X. (2018). What are the effects of self-regulation phases and strategies for Chinese students? A meta-analysis of two decades research of the association between selfregulation and academic performance. Frontiers in Psychology, 9(2018), 1–13. https://doi.org/10.3389/fpsyg.2018.02434LiJ.YeH.TangY. Z.HuX. (2018). What are the effects of self-regulation phases and strategies for Chinese students? A meta-analysis of two decades research of the association between selfregulation and academic performance. Frontiers in Psychology, 9(2018), 1–13. https://doi.org/10.3389/fpsyg.2018.02434Search in Google Scholar
Liu, T., & Israel, M. (2022). Uncovering students’ problem-solving processes in game-based learning environments. Computers & Education, 182(2022), 104462. https://doi.org/10.1016/j.compedu.2022.104462LiuT.IsraelM. (2022). Uncovering students’ problem-solving processes in game-based learning environments. Computers & Education, 182(2022), 104462. https://doi.org/10.1016Zj.compedu.2022.104462Search in Google Scholar
Loong, T. E. (2012). Self-regulated learning strategies and their effects on math performance of preuniversity international students in Malaysia. Journal of Education and Vocational Research, 3(3), 89–97. https://doi.org/10.22610/jevr.v3i3.54LoongT. E. (2012). Self-regulated learning strategies and their effects on math performance of preuniversity international students in Malaysia. Journal of Education and Vocational Research, 3 (3), 89–97. https://doi.org/10.22610/jevr.v3i3.54Search in Google Scholar
Maier, U., Wolf, N., & Randler, C. (2016). Effects of a computer-assisted formative assessment intervention based on multiple-tier diagnostic items and different feedback types. Computers & Education, 95(2016), 85–98. https://doi.org/10.1016/j.compedu.2015.12.002MaierU.WolfN.RandlerC. (2016). Effects of a computer-assisted formative assessment intervention based on multiple-tier diagnostic items and different feedback types. Computers & Education, 95(2016), 85–98. https://doi.org/10.1016/j.compedu.2015.12.002Search in Google Scholar
Miller, K., Sonnert, G., & Sadler, P. (2018). The influence of students’ participation in STEM competitions on their interest in STEM careers. International Journal of Science Education, Part B, 8(2), 95–114. https://doi.org/10.1080/21548455.2017.1397298MillerK.SonnertG.SadlerP. (2018). The influence of students’ participation in STEM competitions on their interest in STEM careers. International Journal of Science Education, Part B, 8(2), 95–114. https://doi.org/10.1080/21548455.2017.1397298Search in Google Scholar
Molenaar, I., de Mooij, S., Azevedo, R., Bannert, M., Järvelä, S., & Gašević, D. (2023). Measuring selfregulated learning and the role of AI: Five years of research using multimodal multichannel data. Computers in Human Behavior, 139(2023), 1–9. https://doi.org/10.1016/j.chb.2022.107540MolenaarI.de MooijS.AzevedoR.BannertM.JärveläS.GaševićD. (2023). Measuring selfregulated learning and the role of AI: Five years of research using multimodal multichannel data. Computers in Human Behavior, 139(2023), 1–9. https://doi.org/10.1016/j.chb.2022.107540Search in Google Scholar
Moos, D. C., & Bonde, C. (2016). Flipping the classroom: Embedding self-regulated learning prompts in videos. Technology, Knowledge and Learning, 21(2016), 225–242. https://doi.org/10.1007/s10758-015-9269-1MoosD. C.BondeC. (2016). Flipping the classroom: Embedding self-regulated learning prompts in videos. Technology, Knowledge and Learning, 21 (2016), 225–242. https://doi.org/10.1007/s10758-015-9269-1Search in Google Scholar
Mourtos, N. J., Okamoto, N. D., & Rhee, J. (2004). Defining, teaching, and assessing problem solving skills. In Z. Pudlowski (Ed.), 7th UICEE Annual Conference on Engineering Education (pp. 1–5). Clayton, Vic. : UNESCO International Centre for Engineering Education.MourtosN. J.OkamotoN. D.RheeJ. (2004). Defining, teaching, and assessing problem solving skills. In PudlowskiZ. (Ed.), 7th UICEE Annual Conference on Engineering Education (pp. 1–5) Clayton, Vic. : UNESCO International Centre for Engineering Education.Search in Google Scholar
Nicolaidou, I. (2013). E-portfolios supporting primary students’ writing performance and peer feedback. Computers & Education, 68(2013), 404–415. https://doi.org/10.1016/j.compedu.2013.06.004NicolaidouI. (2013). E-portfolios supporting primary students’ writing performance and peer feedback. Computers & Education, 68(2013), 404–415. https://doi.org/10.1016/j.compedu.2013.06.004Search in Google Scholar
OECD. (2021). OECD skills outlook 2021: Learning for life. OECD Publishing. https://doi.org/10.1787/0ae365b4-enOECD. (2021). OECD skills outlook 2021: Learning for life. OECD Publishing. https://doi.org/10.1787/0ae365b4-enSearch in Google Scholar
Panadero, E., Klug, J., & Järvelä, S. (2016). Third wave of measurement in the self-regulated learning field: When measurement and intervention come hand in hand. Scandinavian Journal of Educational Research, 60(6), 723–735. https://doi.org/10.1080/00313831.2015.1066436PanaderoE.KlugJ.JärveläS. (2016). Third wave of measurement in the self-regulated learning field: When measurement and intervention come hand in hand. Scandinavian Journal of Educational Research, 60(6), 723–735. https://doi.org/10.1080/00313831.2015.1066436Search in Google Scholar
Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459–470. https://doi.org/10.1016/S0883-0355(99)00015-4PintrichP. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459–470. https://doi.org/10.1016/S0883-0355(99)00015-4Search in Google Scholar
Raaijmakers, S. F., Baars, M., Schaap, L., Paas, F., Van Merriënboer, J., & Van Gog, T. (2018). Training self-regulated learning skills with video modeling examples: Do task-selection skills transfer? Instructional Science, 46(2), 273–290. https://doi.org/10.1007/s11251-017-9434-0RaaijmakersS. F.BaarsM.SchaapL.PaasF.Van MerriënboerJ.Van GogT. (2018). Training self-regulated learning skills with video modeling examples: Do task-selection skills transfer?Instructional Science, 46(2), 273–290. https://doi.org/10.1007/s11251-017-9434-0Search in Google Scholar
Reimers, F. M., & Chung, C. K. (Eds.). (2019). Teaching and learning for the twenty-first century: Educational goals, policies, and curricula from six nations. Harvard Education Press.ReimersF. M.ChungC. K. (Eds.). (2019). Teaching and learning for the twenty-first century: Educational goals, policies, and curricula from six nations. Harvard Education Press.Search in Google Scholar
Sanders, S., Rollins, L. H., & McFall, A. (2023). Aiming high: Applying goal setting to social and emotional learning skills in the elementary classroom. Beyond Behavior, 32(1), 4–14. https://doi.org/10.1177/10742956221145692SandersS.RollinsL. H.McFallA. (2023). Aiming high: Applying goal setting to social and emotional learning skills in the elementary classroom. Beyond Behavior, 32 (1), 4–14. https://doi.org/10.1177/10742956221145692Search in Google Scholar
Schaeffer, L. M., Margulieux, L. E., Chen, D., & Catrambone, R. (2016). Feedback via educational technology. In L. Lin & R. Atkinson (Eds.), Educational technologies: Challenges, applications, and learning outcomes. (pp. 59–72). Nova Science Publishers.SchaefferL. M.MargulieuxL. E.ChenD.CatramboneR. (2016). Feedback via educational technology. In LinL.AtkinsonR. (Eds.), Educational technologies: Challenges, applications, and learning outcomes. (pp. 59–72). Nova Science Publishers.Search in Google Scholar
Schloemer, P. & Brenan, K. (2006). From students to learners: Developing self-regulated learning. Journal of Education for Business, 82(2), 81–87. https://doi.org/10.3200/JOEB.82.2.81-87SchloemerP.BrenanK. (2006). From students to learners: Developing self-regulated learning. Journal of Education for Business, 82(2), 81–87. https://doi.org/10.3200/JOEB.82.2.81-87Search in Google Scholar
Schunemann, N., Sporer, N., Vollinger, V. A., & Brunstein, C. (2017). Peer feedback mediates the impact of self-regulation procedures on strategy use and reading comprehension in reciprocal teaching groups. Instructional Science, 45(4), 395–415. https://doi.org/10.1007/s11251-017-9409-1SchunemannN.SporerN.VollingerV. A.BrunsteinC. (2017). Peer feedback mediates the impact of self-regulation procedures on strategy use and reading comprehension in reciprocal teaching groups. Instructional Science, 45(4), 395–415. https://doi.org/10.1007/s11251-017-9409-1Search in Google Scholar
Snyder, L. G., & Snyder, M. J. (2008). Teaching critical thinking and problem-solving skills. The Journal of Research in Business Education, 50(2), 90–99.SnyderL. G.SnyderM. J. (2008). Teaching critical thinking and problem-solving skills. The Journal of Research in Business Education, 50(2), 90–99.Search in Google Scholar
Sulisworo, D., Fatimah, N., & Sunaryati, S. S. (2020). A quick study on SRL profiles of online learning participants during the anticipation of the spread of COVID-19. International Journal of Evaluation and Research in Education, 9(3), 723–730. https://doi.org/10.11591/ijere.v9i3.20642SulisworoD.FatimahN.SunaryatiS. S. (2020). A quick study on SRL profiles of online learning participants during the anticipation of the spread of COVID-19. International Journal of Evaluation and Research in Education, 9(3), 723–730. https://doi.org/10.11591/ijere.v9i3.20642Search in Google Scholar
Tissenbaum, M. (2020). I see what you did there! Divergent collaboration and learner transitions from unproductive to productive states in open-ended inquiry. Computers & Education, 145(2020), 1–15. https://doi.org/10.1016/j.compedu.2019.103739TissenbaumM. (2020). I see what you did there! Divergent collaboration and learner transitions from unproductive to productive states in open-ended inquiry. Computers & Education, 145(2020), 1–15. https://doi.org/10.1016/j.compedu.2019.103739Search in Google Scholar
Uka, A., & Uka, A. (2020). The effect of students’ experience with the transition from primary to secondary school on self-regulated learning and motivation. Sustainability, 12(20), 2–16. https://doi.org/10.3390/su12208519UkaA.UkaA. (2020). The effect of students’ experience with the transition from primary to secondary school on self-regulated learning and motivation. Sustainability, 12 (20), 2–16. https://doi.org/10.3390/su12208519Search in Google Scholar
van Alten, D. C. D., Phielix, C., Janssen, J., & Kester, L. (2020). Self-regulated learning support in flipped learning videos enhances learning outcomes. Computers & Education, 158(2020), 1–16. https://doi.org/10.1016/j.compedu.2020.104000van AltenD. C. D.PhielixC.JanssenJ.KesterL. (2020). Self-regulated learning support in flipped learning videos enhances learning outcomes. Computers & Education, 158(2020), 1–16. https://doi.org/10.1016/j.compedu.2020.104000Search in Google Scholar
van den Bergh, L., Ros, A., & Beijaard, D. (2013a). Feedback during active learning: Elementary school teachers’ beliefs and perceived problems. Educational Studies, 39(4), 418–430. https://doi.or g/10.1080/03055698.2013.767188van den BerghL.RosA.BeijaardD. (2013a). Feedback during active learning: Elementary school teachers’ beliefs and perceived problems. Educational Studies, 39(4), 418–430. https://doi.or g/10.1080/03055698.2013.767188Search in Google Scholar
van den Bergh, L., Ros, A., & Beijaard, D. (2013b). Teacher feedback during active learning: Current practices in primary schools. British Journal of Educational Psychology, 83(2), 341–362. https://doi.org/10.1111/j.2044-8279.2012.02073.xvan den BerghL.RosA.BeijaardD. (2013b). Teacher feedback during active learning: Current practices in primary schools. British Journal of Educational Psychology, 83(2), 341–362. https://doi.org/10.1111/j.2044-8279.2012.02073.xSearch in Google Scholar
van Ginkel, S., Gulikers, J., Biemans, H., Noroozi, O., Roozen, M., Bos, T., van Tilborg, R., van Halteren, M., & Mulder, M. (2019). Fostering oral presentation competence through a virtual realitybased task for delivering feedback. Computers & Education, 134(3), 78–97. https://doi.org/10.1016/j.compedu.2019.02.006van GinkelS.GulikersJ.BiemansH.NorooziO.RoozenM.BosT.van TilborgR.van HalterenM.MulderM. (2019). Fostering oral presentation competence through a virtual realitybased task for delivering feedback. Computers & Education, 134(3), 78–97. https://doi.org/10.1016/j.compedu.2019.02.006Search in Google Scholar
Vilkova, K. (2022). The promises and pitfalls of selfregulated learning interventions in MOOCs. Technology, Knowledge and Learning, 27(3), 689–705. https://doi.org/10.1007/s10758-021-09580-9VilkovaK. (2022). The promises and pitfalls of selfregulated learning interventions in MOOCs. Technology, Knowledge and Learning, 27(3), 689–705. https://doi.org/10.1007/s10758-021-09580-9Search in Google Scholar
Vrieling, E., Stijnen, S., & Bastiaens, T. (2018). Successful learning: Balancing self-regulation with instructional planning. Teaching in Higher Education, 23(6), 685–700. https://doi.org/10.1080 /13562517.2017.1414784VrielingE.StijnenS.BastiaensT. (2018). Successful learning: Balancing self-regulation with instructional planning. Teaching in Higher Education, 23(6), 685–700. https://doi.org/10.1080 /13562517.2017.1414784Search in Google Scholar
Wang, T. H. (2011). Developing web-based assessment strategies for facilitating junior high school students to perform self-regulated learning in an e-learning environment. Computers & Education, 57(2), 1801–1812. https://doi.org/10.1016/j.compedu.2011.01.003WangT. H. (2011). Developing web-based assessment strategies for facilitating junior high school students to perform self-regulated learning in an e-learning environment. Computers & Education, 57(2), 1801–1812. https://doi.org/10.1016/j.compedu.2011.01.003Search in Google Scholar
Wilson, Z. S., Holmes, L., deGravelles, K., Sylvain, M. R., Batiste, L., Johnson, M., McGuire, S. Y, Pang, S. S., & Warner, I. M. (2012). Hierarchical mentoring: A transformative strategy for improving diversity and retention in undergraduate STEM disciplines. Journal of Science Education and Technology, 21(1), 148–156. https://doi.org/10.1007/s10956-011-9292-5WilsonZ. S.HolmesL.deGravellesK.SylvainM. R.BatisteL.JohnsonM.McGuireS. Y, PangS. S.WarnerI. M. (2012). Hierarchical mentoring: A transformative strategy for improving diversity and retention in undergraduate STEM disciplines. Journal of Science Education and Technology, 21 (1), 148–156. https://doi.org/10.1007/s10956-011-9292-5Search in Google Scholar
Winters, F. I., Greene, J. A., & Costich, C. M. (2008). Self-regulation of learning within computerbased learning environments: A critical analysis. Educational Psychology Review, 20(4), 429–444. https://doi.org/10.1007/s10648-008-9080-9WintersF. I.GreeneJ. A.CostichC. M. (2008). Self-regulation of learning within computerbased learning environments: A critical analysis. Educational Psychology Review, 20(4), 429–444. https://doi.org/10.1007/s10648-008-9080-9Search in Google Scholar
Wolters, C. A., & Pintrich, P. R. (1998). Contextual differences in student motivation and self-regulated learning in mathematics, English, and social studies classrooms. Instructional Science, 26(1998), 27–47. https://doi.org/10.1023/A:1003035929216WoltersC. A.PintrichP. R. (1998). Contextual differences in student motivation and self-regulated learning in mathematics, English, and social studies classrooms. Instructional Science, 26(1998), 27–47. https://doi.org/10.1023/A:1003035929216Search in Google Scholar
Wong, J., Baars, M., de Koning, B., & Paas, F. (2021). Examining the use of prompts to facilitate selfregulated learning in massive open online courses. Computers in Human Behavior, 115(3), 1–27. https://doi.org/10.1016/j.chb.2020.106596WongJ.BaarsM.de KoningB.PaasF. (2021). Examining the use of prompts to facilitate selfregulated learning in massive open online courses. Computers in Human Behavior, 115(3), 1–27. https://doi.org/10.1016/j.chb.2020.106596Search in Google Scholar
Xu, Z., Zhao, Y., Zhang, B., Liew, J., & Kogut, A. (2022). A meta-analysis of the efficacy of self-regulated learning interventions on academic achievement in online and blended environments in K-12 and higher education. Behaviour & Information Technology, 42(16), 2911–2931. https://doi.org/10.1080/0144929X.2022.2151935XuZ.ZhaoY.ZhangB.LiewJ.KogutA. (2022). A meta-analysis of the efficacy of self-regulated learning interventions on academic achievement in online and blended environments in K-12 and higher education. Behaviour & Information Technology, 42(16), 2911–2931. https://doi.org/10.1080/0144929X.2022.2151935Search in Google Scholar
Xu, Z., Zhao, Y., Liew, J., Zhou, X., & Kogut, A. (2023). Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review. Educational Research Review, 32(2023), 1–17. https://doi.org/10.1016/j.edurev.2023.100510XuZ.ZhaoY.LiewJ.ZhouX.KogutA. (2023). Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review. Educational Research Review, 32(2023), 1–17. https://doi.org/10.1016/j.edurev.2023.100510Search in Google Scholar
Yakubova, G., Hughes, E. M., & Chen, B. B. (2020). Teaching students with ASD to solve fraction computations using a video modeling instructional package. Research in Developmental Disabilities, 101(2020), 1–11. https://doi.org/10.1016/j.ridd.2020.103637YakubovaG.HughesE. M.ChenB. B. (2020). Teaching students with ASD to solve fraction computations using a video modeling instructional package. Research in Developmental Disabilities, 101(2020), 1–11. https://doi.org/10.1016/j.ridd.2020.103637Search in Google Scholar
Yavuz, G., Yasemin, D., & Arslan, Ç. (2017). Elementary School Students Perception Levels of Problem-Solving Skills. Universal Journal of Educational Research, 5(11), 1896–1901. https://doi.org/10.13189/ujer.2017.051106YavuzG.YaseminD.ArslanÇ. (2017). Elementary School Students Perception Levels of Problem-Solving Skills. Universal Journal of Educational Research, 5(11), 1896–1901. https://doi.org/10.13189/ujer.2017.051106Search in Google Scholar
Zheng, L. (2016). The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: A metaanalysis. Asia Pacific Education Review, 17(2), 187–202. https://doi.org/10.1007/s12564-016-9426-9ZhengL. (2016). The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: A metaanalysis. Asia Pacific Education Review, 17(2), 187–202. https://doi.org/10.1007/s12564-016-9426-9Search in Google Scholar
Zimmerman, B. J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 1–19). Guilford.ZimmermanB. J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In SchunkD. H.ZimmermanB. J. (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 1–19). Guilford.Search in Google Scholar
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner, (Eds.), Handbook of selfregulation (pp. 13–39). Academic Press.ZimmermanB. J. (2000). Attaining self-regulation: A social cognitive perspective. In BoekaertsM.PintrichP. R.ZeidnerM., (Eds.), Handbook of selfregulation (pp. 13–39). Academic Press.Search in Google Scholar
Zimmerman, B. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183. https://doi.org/10.3102/0002831207312909ZimmermanB. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183. https://doi.org/10.3102/0002831207312909Search in Google Scholar
Zimmerman, B., & Barry J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135–147. https://doi.org/10.1080/00461520.2013.794676ZimmermanB.BarryJ. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135–147. https://doi.org/10.1080/00461520.2013.794676Search in Google Scholar
Zimmerman, B. J., & Campillo, M. (2003). Motivating self-regulated problem solvers. In J. E. Davidson & R. J. Sternberg, (Eds.), The psychology of problem solving (pp. 233–262). Cambridge.ZimmermanB. J.CampilloM. (2003). Motivating self-regulated problem solvers. In DavidsonJ. E.SternbergR. J., (Eds.), The psychology of problem solving (pp. 233–262). Cambridge.Search in Google Scholar