A adaptive learning strategies in open and distance eLearning: Opportunities and challenges for quality assurance

Autores

  • Phineas Sebopelo Botswana Open University

DOI:

https://doi.org/10.37497/rev.artif.intell.educ.v6ii.36

Palavras-chave:

personalised learning, adaptive learning, artificial intelligence, quality assurance, higher education

Resumo

 The chapter is premised on the ever-changing landscape of distance learning and the infusion of the e-learning aspect into the teaching and learning strategies. The adoption of adaptive learning strategies necessitated institutions to deliver custom learning experiences that address the unique needs of individual students.

  • The chapter points to the importance of institutions adopting a variety of adaptive learning strategies such as personalized learning, automated feedback, visualized learning, to enhance the student learning experience rather than assuming a one-fits-all-all experience.
  • The book chapter highlights challenges that impede institutions in adopting adaptive Learning Strategies.
  • The chapter underscores the point that at the core of Higher education institutions is the need to address challenges and threats to the quality of education by adopting efficient instructional strategies for Adaptive learning.
  • The book also suggests strategies to mitigate against challenges that impede the adoption of adaptive learning strategies.

Referências

Moreno-Guerrero, Antonio-José, Jesús López-Belmonte, José-Antonio Marín-Marín, and Rebeca Soler-Costa. "Scientific development of educational artificial intelligence in Web of Science." Future Internet 12, no. 8 (2020): 124. DOI: https://doi.org/10.3390/fi12080124

Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. DOI: https://doi.org/10.1016/j.caeai.2020.100001

Al-Tameemi, G., & Xue, J. (2019). Towards an intelligent system to improve student engagement and retention. Procedia Computer Science, 151, 1120-1127. DOI: https://doi.org/10.1016/j.procs.2019.04.159

Oguzo, N., & Akpelu, F. E. (2022). ADAPTIC LEARNING AND LEARNING ANALYSIS. BW Academic Journal, 9-9.

Christodoulou, A., & Angeli, C. (2022, June). Adaptive Learning Techniques for Personalized Educational Software in Developing Teachers’ Technological Pedagogical Content Knowledge. In Frontiers in Education (Vol. 7, p. 789397). Frontiers. DOI: https://doi.org/10.3389/feduc.2022.789397

. Komatsu, H., Rappleye, J., & Silova, I. (2021). Student-centered learning and sustainability: Solution or problem?. Comparative Education Review, 65(1), 000-000. DOI: https://doi.org/10.1086/711829

. Smyrnova-Trybulska, E., Morze, N., & Varchenko-Trotsenko, L. (2022). Adaptive learning in university students’ opinions: Cross-border research. Education and information technologies, 27(5), 6787-6818. DOI: https://doi.org/10.1007/s10639-021-10830-7

. Daugherty, K., Morse, R., Schmauder, A. R., Hoshaw, J., & Taylor, J. (2022). Adjusting the Future of Adaptive Learning Technologies via a SWOT Analysis. Intersection: A Journal at the Intersection of Assessment and Learning, 3(2), n2. DOI: https://doi.org/10.61669/001c.36295

. Kubat, U. (2018). Identifying the Individual Differences Among Students During Learning and Teaching Process by Science Teachers. International Journal of Research in Educational and Science, (IJRES), 4(1), 30-38. DOI:10.21890/ijres.369746 DOI: https://doi.org/10.21890/ijres.369746

Zhai, X. (2023). ChatGPT and Ai: The game changer for education. Available at SSRN.

. Doroudi, S. (2022). The intertwined histories of artificial intelligence and education. International Journal of Artificial Intelligence in Education, 1-44.

. Teasley, B. (2015) Adaptive Learning: Definition, History & Methodology. Retrieved from:https://study.com/academy/lesson/adaptive-learning-definition-history-methodology.html.

. Capuano, N., & Caballé, S. (2020). Adaptive learning technologies. Ai Magazine, 41(2), 96-98. DOI: https://doi.org/10.1609/aimag.v41i2.5317

. Oguzo, N., & Akpelu, F. E. (2022). ADAPTIC LEARNING AND LEARNING ANALYSIS. BW Academic Journal, 9-9.

. Shet, J. P. (2020). Adaptive and Blended Learning _ the Panacea for the Challenges of E-Learning.

. Zhou, X., Smith, C. J. M., & Al-Samarraie, H. (2023). Digital technology adaptation and initiatives: a systematic review of teaching and learning during COVID-19. Journal of Computing in Higher Education, 1-22. DOI: https://doi.org/10.1007/s12528-023-09376-z

. Rof, A., Bikfalvi, A., & Marques, P. (2022). Pandemic-accelerated digital transformation of a born-digital higher education institution. Educational Technology & Society, 25(1), 124-141.

. Patil, D., & Naqvi, W. M. (2020). COVID-19 and education system: Impact of current pandemic on adaptive learning strategies in medical education system. International Journal of Research in Pharmaceutical Sciences, 403-406. DOI: https://doi.org/10.26452/ijrps.v11iSPL1.2736

. Ulanday, M. L., Centeno, Z. J., Bayla, M. C., & Callanta, J. (2021). Flexible learning adaptabilities in the new normal: E-learning resources, digital meeting platforms, online learning systems and learning engagement. Asian Journal of Distance Education, 16(2).

. Divanji, R. A., Bindman, S., Tung, A., Chen, K., Castaneda, L., & Scanlon, M. (2023). A one stop shop? Perspectives on the value of adaptive learning technologies in K-12 education. Computers and Education Open, 5, 100157. DOI: https://doi.org/10.1016/j.caeo.2023.100157

. Pena-Levano, L. M., & Melo, G. (2022). Adaptation of Teaching Strategies During the COVID-19 Pandemic. Applied Economics Teaching Resources (AETR), 4(1), 12-33.

. Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. DOI: https://doi.org/10.1016/j.caeai.2021.100017

. Minn, S. (2022). AI-assisted knowledge assessment techniques for adaptive learning environments. Computers and Education: Artificial Intelligence, 3, 100050. DOI: https://doi.org/10.1016/j.caeai.2022.100050

. Gligorea, I.; Cioca, M.; Oancea, R.; Gorski, A.-T.; Gorski, H.; Tudorache, P. Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Educ. Sci. 2023, 13, 1216. https:// doi.org/10.3390/educsci13121216 DOI: https://doi.org/10.3390/educsci13121216

.Joshi, M. (2023). Adaptive Learning through Artificial Intelligence. Available at SSRN 4514887.

. Al Ka'bi, A. (2023). Proposed artificial intelligence algorithm and deep learning techniques for development of higher education. International Journal of Intelligent Networks, 4, 68-73. DOI: https://doi.org/10.1016/j.ijin.2023.03.002

Joshi, M. (2023). Adaptive Learning through Artificial Intelligence. Available at SSRN 4514887. DOI: https://doi.org/10.2139/ssrn.4514887

. Zhai, X., & Wiebe, E. (2023). Technology-based innovative assessment. Classroom-based STEM assessment, 99-125.

. UNESCO. (2023). Global Education Monitoring Report 2023: Technology in Education—A Tool on Whose Terms?.32.

Mirata, V., Hirt, F., Bergamin, P., & van der Westhuizen, C. (2020). Challenges and contexts in establishing adaptive learning in higher education: findings from a Delphi study. International Journal of Educational Technology in Higher Education, 17, 1-25.

. Marshall, S., & Sankey, M. D. (2023). The Future of the Learning Management System in the Virtual University. In Technology-Enhanced Learning and the Virtual University (pp. 283-304). Singapore: Springer Nature Singapore. DOI: https://doi.org/10.1007/978-981-99-4170-4_16

. Moshtari, M., & Safarpour, A. (2023). Challenges and strategies for the internationalization of higher education in low-income East African countries. Higher Education, 1-21. DOI: https://doi.org/10.1007/s10734-023-00994-1

. Mirata, V., Hirt, F., Bergamin, P., & van der Westhuizen, C. (2020). Challenges and contexts in establishing adaptive learning in higher education: findings from a Delphi study. International Journal of Educational Technology in Higher Education, 17, 1-25. DOI: https://doi.org/10.1186/s41239-020-00209-y

. Pugliese, L. (2016). Adaptive learning systems: Surviving the storm. Educause Review, 10(7).

. Costa, R. S., Tan, Q., Pivot, F., Zhang, X., & Wang, H. (2022). Personalized and adaptive learning: educational practice and technological impact. Texto Livre, 14. DOI: https://doi.org/10.35699/1983-3652.2021.33445

. Preston, Jane P., Sean Wiebe, Martha Gabriel, Alexander McAuley, Barbara Campbell, and Ron MacDonald. "Benefits and challenges of technology in high schools: A voice from educational leaders with a Freire echo." Interchange 46 (2015): 169-185. DOI: https://doi.org/10.1007/s10780-015-9240-z

. Israel, S.E., Block, C.C., Bauserman, K.L. and Kinnucan-Welsch, K. eds., 2006. Metacognition in literacy learning: Theory, assessment, instruction, and professional development. Routledge. DOI: https://doi.org/10.4324/9781410613301

. Khatoon, M. (2023). Development of Metamemory and the Role of Working Memory among Indian Adolescents. DOI: https://doi.org/10.31234/osf.io/ngsvt

. Jia, X., Li, W., & Cao, L. (2019). The role of metacognitive components in creative thinking. Frontiers in Psychology, 10, 2404. DOI: https://doi.org/10.3389/fpsyg.2019.02404

.Padmanabha, C. H. (2020). Metacognition: conceptual framework. Journal on Educational Psychology, 14(1), 1-11. DOI: https://doi.org/10.26634/jpsy.14.1.16710

. Basu, S., & Dixit, S. (2022). Role of metacognition in explaining decision-making styles: A study of knowledge about cognition and regulation of cognition. Personality and Individual Differences, 185, 111318. DOI: https://doi.org/10.1016/j.paid.2021.111318

.Schraw, G. and Moshman, D., 1995. Metacognitive theories. Educational psychology review, 7, pp.351-371. DOI: https://doi.org/10.1007/BF02212307

. Razak, N. A., Pangil, F., Zin, M. L. M., Yunus, N. A. M., & Asnawi, N. H. (2016). Theories of knowledge sharing behavior in business strategy. Procedia Economics and Finance, 37, 545-553. DOI: https://doi.org/10.1016/S2212-5671(16)30163-0

. Özçakmak, H., Köroglu, M., Korkmaz, C., & Bolat, Y. (2021). The Effect of Metacognitive Awareness on Academic Success. African Educational Research Journal, 9(2), 434-448. DOI: https://doi.org/10.30918/AERJ.92.21.020

. Stanton, J. D., Sebesta, A. J., & Dunlosky, J. (2021). Fostering metacognition to support student learning and performance. CBE—Life Sciences Education, 20(2), fe3. DOI: https://doi.org/10.1187/cbe.20-12-0289

. Voorhees, D. H., LeMay, L. E., Nagy, E. A., & Perez, A. E. (2022). Successes with metacognition: Empowering faculty and transforming student learning. New Directions for Community Colleges, 2022(199), 17-33. DOI: https://doi.org/10.1002/cc.20521

. Carlon, M. K. J., & Cross, J. S. (2022). Knowledge tracing for adaptive learning in a metacognitive tutor. Open Education Studies, 4(1), 206-224. DOI: https://doi.org/10.1515/edu-2022-0013

. Kautzmann, T. R., & Jaques, P. A. (2019). Effects of adaptive training on metacognitive knowledge monitoring ability in computer-based learning. Computers & Education, 129, 92-105. DOI: https://doi.org/10.1016/j.compedu.2018.10.017

. Ingkavara, T., Panjaburee, P., Srisawasdi, N., & Sajjapanroj, S. (2022). The use of a personalized learning approach to implementing self-regulated online learning. Computers and Education: Artificial Intelligence, 3, 100086. DOI: https://doi.org/10.1016/j.caeai.2022.100086

. Ericsson, K. A., & Harwell, K. W. (2019). Deliberate practice and proposed limits on the effects of practice on the acquisition of expert performance: Why the original definition matters and recommendations for future research. Frontiers in psychology, 10, 2396. DOI: https://doi.org/10.3389/fpsyg.2019.02396

. Gladwell, M. (2002). The talent myth. The New Yorker, 22(2002), 28-33. DOI: https://doi.org/10.1109/MPER.2002.4312335

. Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, 47, 273–305. https://doi.org/10.1146/annurev.psych.47.1.273. DOI: https://doi.org/10.1146/annurev.psych.47.1.273

. Goodyear, R. K., & Rousmaniere, T. (2019). Introduction: Computer and internet‐based technologies for psychotherapy, supervision, and supervision‐of‐supervision. Journal of Clinical Psychology. DOI: https://doi.org/10.1002/jclp.22717

. Memmert, D. (2017). Coaching tactical creativity in team sports. In Perspectives on athlete-centred coaching (pp. 36-46). Routledge. DOI: https://doi.org/10.4324/9781315102450-4

. Mahalingam, M., & Fasella, E. (2017). Effective use of technology for asynchronous learning to elevate students’ knowledge and problem-solving ability. In Unplugging the Classroom (pp. 149-158). Chandos Publishing. DOI: https://doi.org/10.1016/B978-0-08-102035-7.00011-4

. Grant, D. G. (2022). Becoming an Expert on Purpose: How Deliberate Practice Informs Teacher Effectiveness. In Pedagogy-Challenges, Recent Advances, New Perspectives, and Applications. IntechOpen. DOI: https://doi.org/10.5772/intechopen.101734

. Van Gelderen M. Using a comfort zone model and daily life situations to develop entrepreneurial competencies and an entrepreneurial mindset. Front Psychol. 2023 May 15;14:1136707. doi: 10.3389/fpsyg.2023.1136707. PMID: 37255520; PMCID: PMC10225726. DOI: https://doi.org/10.3389/fpsyg.2023.1136707

. Balan, A., & Sjöwall, D. (2023). Evaluation of a deliberate practice and growth mindset intervention on mathematics in 7th-grade students. Scandinavian Journal of Educational Research, 67(4), 549-558. DOI: https://doi.org/10.1080/00313831.2022.2042733

. Ellison, D. W., & Woods, A. M. (2016). Deliberate practice as a tool for effective teaching in physical education. Journal of Physical Education, Recreation & Dance, 87(2), 15-19. DOI: https://doi.org/10.1080/07303084.2015.1119075

. Güllich, A., Faß, L., Gies, C., & Wald, V. (2020). On the empirical substantiation of the definition of “Deliberate Practice”(Ericsson et al., 1993) and “Deliberate Play”(Côté et al., 2007) in youth athletes. Journal of Expertise, 3(1), 1-19.

. Bilalić, M., Đokić, R., Koso-Drljević, M., Đapo, N., & Pollet, T. (2023). When (deliberate) practice is not enough–the role of intelligence, practice, and knowledge in academic performance. Current psychology, 42(27), 23147-23165. DOI: https://doi.org/10.1007/s12144-022-03336-z

. Tisza, G., & Markopoulos, P. (2023). FunQ: Measuring the fun experience of a learning activity with adolescents. Current Psychology, 42(3), 1936-1956. DOI: https://doi.org/10.1007/s12144-021-01484-2

. Hefkaluk, N., Linehan, C., & Trace, A. (2024). Fail, fail again, fail better: How players who enjoy challenging games persist after failure in “Celeste”. International Journal of Human-Computer Studies, 183, 103199. DOI: https://doi.org/10.1016/j.ijhcs.2023.103199

. Frommel, J., Klarkowski, M., Mandryk, R.L., 2021. The struggle is Spiel: on failure and success in games. In: Proceedings of the 16th International Conference on the Foundations of Digital Games, pp. 1–12. https://doi.org/10.1145/. DOI: https://doi.org/10.1145/3472538.3472565

. Annetta, L.A., Murray, M.R., Laird, S.G., Bohr, S.C. and Park, J.C., 2006. Serious games: Incorporating video games in the classroom. Educause quarterly, 29(3), p.16

. Darwesh, A. M. (2016). Serious Games in Adaptive Learning. Journal of University of Human Development, 2(4), 418-423. DOI: https://doi.org/10.21928/juhd.20161225.18

. Shaheen, A., Ali, S., & Fotaris, P. (2023). Assessing the Efficacy of Reflective Game Design: A Design-Based Study in Digital Game-Based Learning. Education Sciences, 13(12), 1204. DOI: https://doi.org/10.3390/educsci13121204

. Ahmad, M. (2019). Categorizing Game Design Elements into Educational Game Design Fundamentals. Game Design and Intelligent Interaction, 1-17. DOI: https://doi.org/10.5772/intechopen.89971

. Perrotta, C., Featherstone, G., Aston, H., & Houghton, E. (2013). Game-based learning: Latest evidence and future directions. Slough: nfer, 1-49.

. Babacan Çörekci, T. (2023). Game-Based Learning in Interior Architecture Education. Design and Technology Education, 28(1), 55-78.

. Zourmpakis, A. I., Kalogiannakis, M., & Papadakis, S. (2023). Adaptive gamification in science education: An analysis of the impact of implementation and adapted game elements on students’ motivation. Computers, 12(7), 143. DOI: https://doi.org/10.3390/computers12070143

. Plass, J. L., Homer, B. D., & Kinzer, C. K. (2015). Foundations of game-based learning. Educational psychologist, 50(4), 258-283. DOI: https://doi.org/10.1080/00461520.2015.1122533

. Kallevig, K. A. (2015). Perceptions of failure in education: Changing the fear of failure through gamification.

. Adipat, S., Laksana, K., Busayanon, K., Asawasowan, A., & Adipat, B. (2021). Engaging Students in the Learning Process with Game-Based Learning: The Fundamental Concepts. International Journal of Technology in Education, 4(3), 542-552. DOI: https://doi.org/10.46328/ijte.169

. Krouska, A., Troussas, C., & Sgouropoulou, C. (2022). Mobile game-based learning as a solution in COVID-19 era: Modeling the pedagogical affordance and student interactions. Education and information technologies, 1-13. DOI: https://doi.org/10.1007/s10639-021-10672-3

. Murre, J. M., & Dros, J. (2015). Replication and analysis of Ebbinghaus’ forgetting curve. PloS one, 10(7), e0120644. DOI: https://doi.org/10.1371/journal.pone.0120644

. Craig, P., & De Búrca, G. (2020). EU Law: Text, Cases, and Materials UK Version. Oxford University Press, USA. DOI: https://doi.org/10.1093/he/9780198859840.001.0001

. Zaidi, A., Caines, A., Moore, R., Buttery, P., & Rice, A. (2020). Adaptive forgetting curves for spaced repetition language learning. In Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part II 21 (pp. 358-363). Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-52240-7_65

. Plaskura, P. (2019). Modelling of forgetting curves in educational e-environment. Information Technologies and Learning Tools, 71(3), 1-11. DOI: https://doi.org/10.33407/itlt.v71i3.2368

. Mohamad, S. N. M., Salleh, M. A. M., Hakim, M., Hamid, A., Sui, L. K. M., & Mohd, C. K. N. C. K. (2019). Adaptive learning strategies with gamification to enhance learning engagement. Indian Journal of Science and Technology, 12(31), 1-8. DOI: https://doi.org/10.17485/ijst/2019/v12i31/146871

. Bae, C. L., Therriault, D. J., & Redifer, J. L. (2019). Investigating the testing effect: Retrieval as a characteristic of effective study strategies. Learning and Instruction, 60, 206-214. DOI: https://doi.org/10.1016/j.learninstruc.2017.12.008

. Alam, M. S. (2020). Dr. Md. Shabbir Alam, Dr. Jyoti Agarwal.(2020). Adopting a Blended Learning Model in Education: Opportunities and Challenges. International Journal of Early Childhood Special Education. International Journal of Early Childhood, 12(2), 01-07. DOI: https://doi.org/10.9756/INT-JECSE/V12I2.201050

. Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science, 331(6018), 772-775. DOI: https://doi.org/10.1126/science.1199327

Brame, C. J., & Biel, R. (2015). Test-enhanced learning: Using retrieval practice to help students learn. Retrieved October, 15, 2020.

. Ye, Z., Shi, L., Li, A., Chen, C., & Xue, G. (2020). Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations. Elife, 9, e57023. DOI: https://doi.org/10.7554/eLife.57023

. Gonzalez, L., & Kardong-Edgren, S. (2017). Deliberate practice for mastery learning in nursing. Clinical Simulation in Nursing, 13(1), 10-14. DOI: https://doi.org/10.1016/j.ecns.2016.10.005

. Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017). The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials. World Psychiatry, 16(3), 287-298. DOI: https://doi.org/10.1002/wps.20472

. Ortega-Tudela, J. M., Lechuga, M. T., Bermúdez-Sierra, M., & Gómez-Ariza, C. J. (2021). Testing the effectiveness of retrieval-based learning in naturalistic school settings. SAGE Open, 11(4), 21582440211061569. DOI: https://doi.org/10.1177/21582440211061569

. Rangel, F., Celli, F., Rosso, P., Potthast, M., Stein, B., & Daelemans, W. (2015). Overview of the 3rd Author Profiling Task at PAN 2015. In CLEF2015 Working Notes. Working Notes of CLEF 2015-Conference and Labs of the Evaluation forum.. Notebook Papers.

. Rohrer, D., Dedrick, R. F., & Stershic, S. (2015). Interleaved practice improves mathematics learning. Journal of Educational Psychology, 107(3), 900. DOI: https://doi.org/10.1037/edu0000001

. Samani, J., & Pan, S. C. (2021). Interleaved practice enhances memory and problem-solving ability in undergraduate physics. npj Science of Learning, 6(1), 32. DOI: https://doi.org/10.1038/s41539-021-00110-x

. Hultberg, P., Calonge, D. S., & Lee, A. E. S. (2018). Promoting long-lasting learning through instructional design. Journal of the Scholarship of Teaching and Learning, 18(3). DOI: https://doi.org/10.14434/josotl.v18i3.23179

. Nemeth, L., Werker, K., Arend, J., & Lipowsky, F. (2021). Fostering the acquisition of subtraction strategies with interleaved practice: An intervention study with German third graders. Learning and Instruction, 71, 101354. DOI: https://doi.org/10.1016/j.learninstruc.2020.101354

. Schorn, J. M., & Knowlton, B. J. (2021). Interleaved practice benefits implicit sequence learning and transfer. Memory & cognition, 1-17. DOI: https://doi.org/10.3758/s13421-021-01168-z

. Mielicki, M. K., & Wiley, J. (2022). Exploring the necessary conditions for observing interleaved practice benefits in math learning. Learning and Instruction, 80, 101583. DOI: https://doi.org/10.1016/j.learninstruc.2022.101583

. Onan, E., Wiradhany, W., Biwer, F., Janssen, E. M., & de Bruin, A. B. (2022). Growing out of the experience: How subjective experiences of effort and learning influence the use of interleaved practice. Educational Psychology Review, 34(4), 2451-2484. DOI: https://doi.org/10.1007/s10648-022-09692-3

. Amiri, M., & Farzanehfard, H. (2018). An interleaved nonisolated ZVS ultrahigh step-down DC–DC converter with low voltage stress. IEEE Transactions on Industrial Electronics, 66(10), 7663-7671. DOI: https://doi.org/10.1109/TIE.2018.2886794

. Qadir, J., & Al-Fuqaha, A. (2020). A Student Primer on How to Thrive in Engineering Education during and beyond COVID-19. Education Sciences, 10(9), 236. DOI: https://doi.org/10.3390/educsci10090236

. Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., & Gomez-Rodriguez, M. (2019). Enhancing human learning via spaced repetition optimization. Proceedings of the National Academy of Sciences, 116(10), 3988-3993. DOI: https://doi.org/10.1073/pnas.1815156116

. McKeachie, W., & Svinicki, M. (2013). McKeachie's teaching tips. Cengage Learning.

. Kampen, M. (2019). How mastery learning helps every student succeed. Prodigy Education. https://www.prodigygame.com/main-en/blog/mastery-learning/

. Guinness, K., Detrich, R., Keyworth, R. & States, J. (2021). Overview of Mastery Learning. Oakland, CA: The Wing Institute. https://www.winginstitute.org/instructional-delivery-learning

. Pashler, H., Bain, P. M., Bottge, B. A., Graesser, A., Koedinger, K., McDaniel, M., & Metcalfe, J. (2007). Organizing Instruction and Study to Improve Student Learning. IES Practice Guide. NCER 2007-2004. National Center for Education Research DOI: https://doi.org/10.1037/e607972011-001

. Asarta, C. J., & Schmidt, J. R. (2017). Comparing student performance in blended and traditional courses: Does prior academic achievement matter?. The Internet and Higher Education, 32, 29-38. DOI: https://doi.org/10.1016/j.iheduc.2016.08.002

. Shelle, G., Earnesty, D., Pilkenton, A., & Powell, E. (2018). Adaptive learning: An innovative method for online teaching and learning. The Journal of Extension, 56(5), 17. DOI: https://doi.org/10.34068/joe.56.05.17

. Naibaho, L. (2019). TEACHERS’ROLES ON ENGLISH LANGUAGE TEACHING: A STUDENTS CENTERED LEARNING APPROACH. International Journal of Research-Granthaalayah, 7(4), 206-212. DOI: https://doi.org/10.29121/granthaalayah.v7.i4.2019.892

. Gallenstein, N. L. (2005). Engaging young children in science and mathematics. Journal of Elementary Science Education, 17(2), 27-41. DOI: https://doi.org/10.1007/BF03174679

. Gonulal, T., & Loewen, S. (2018). Scaffolding technique. The TESOL encyclopedia of English language teaching, 1-5. DOI: https://doi.org/10.1002/9781118784235.eelt0180

. Van de Pol, J., Volman, M., Oort, F., & Beishuizen, J. (2015). The effects of scaffolding in the classroom: support contingency and student independent working time in relation to student achievement, task effort and appreciation of support. Instructional Science, 43, 615-641. DOI: https://doi.org/10.1007/s11251-015-9351-z

. Jumaat, N. F., & Tasir, Z. (2014, April). Instructional scaffolding in online learning environment: A meta-analysis. In 2014 international conference on teaching and learning in computing and engineering (pp. 74-77). IEEE. DOI: https://doi.org/10.1109/LaTiCE.2014.22

. Sarkany, D., & Deitte, L. (2017). Providing feedback: practical skills and strategies. Academic Radiology, 24(6), 740-746. DOI: https://doi.org/10.1016/j.acra.2016.11.023

. Narciss, S. (2012). Feedback Strategies. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_283 DOI: https://doi.org/10.1007/978-1-4419-1428-6_283

. William, D., & Leahy, S. (2015). Embedding formative assessment: Practical

. Molin, F., Haelermans, C., Cabus, S., & Groot, W. (2021). Do feedback strategies improve students’ learning gain?-Results of a randomized experiment using polling technology in physics classrooms. Computers & Education, 175, 104339. DOI: https://doi.org/10.1016/j.compedu.2021.104339

. Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research. Frontiers in psychology, 10, 3087. DOI: https://doi.org/10.3389/fpsyg.2019.03087

. Mandernach, J., & Garrett, J. (2014). Effective feedback strategies for the online classroom. White Paper.

. Markovic, I. (2023). Why Giving Instant Feedback Is Important for Effective Learning. Edu Me.

. Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 1-14. DOI: https://doi.org/10.1186/s40561-019-0089-y

. Zhu, D.M. Shen, New paradigm of educational technology research based on Big Data. E-Educ. Res. (10), 5–13 (2013)

. Wan, D. Wang, Investigation on adaptive learning mechanism of big data based on Knewton platform. Mod. Educ. Technol. 26(5), 5–11 (2016)

. Raj, N. S., & Renumol, V. G. (2022). An improved adaptive learning path recommendation model driven by real-time learning analytics. Journal of Computers in Education, 1-28. DOI: https://doi.org/10.1007/s40692-022-00250-y

. Shemshack, A., & Spector, J. M. (2020). A systematic literature review of personalized learning terms. Smart Learning Environments, 7(1), 1-20. DOI: https://doi.org/10.1186/s40561-020-00140-9

. Walkington, C., & Bernacki, M. L. (2020). Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions. Journal of research on technology in education, 52(3), 235-252. DOI: https://doi.org/10.1080/15391523.2020.1747757

.Hughey, Judy (2020) "Individual Personalized Learning," Educational Considerations: Vol. 46: No. 2. https://doi.org/10.4148/0146-9282.2237 DOI: https://doi.org/10.4148/0146-9282.2237

. DeMonte, J. (2018). Micro-credentials for teachers: What three early adopter states have learned so far. Washington, DC: American Institute for Research. Retrieved from https://www.air.org/sites/default/files/downloads/report/Micro-Creditials-forTeachers- September-2017.pdf.

. Taylor, D. L., Yeung, M., & Bashet, A. Z. (2021). Personalized and adaptive learning. Innovative Learning Environments in STEM Higher Education: Opportunities, Challenges, and Looking Forward, 17-34. DOI: https://doi.org/10.1007/978-3-030-58948-6_2

. Feldstein, M., & Hill, P. (2016). Personalized learning: What it really is and why it really matters. Educause review, 51(2), 25-35.

. Lubis, F. (2019). Education in the disruption era. Britain International of Linguistics Arts and Education (BIoLAE) Journal, 1(2), 183-188. DOI: https://doi.org/10.33258/biolae.v1i2.85

. Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y. S., Gašević, D., & Mello, R. F. (2021). Automatic feedback in online learning environments: A systematic literature review. Computers and Education: Artificial Intelligence, 2, 100027. DOI: https://doi.org/10.1016/j.caeai.2021.100027

. Alrashedi, N. (2020). Adaptive learning to enhance students understanding in learning technology experience. Technium Soc. Sci. J., 9, 32. DOI: https://doi.org/10.47577/tssj.v9i1.873

. Tong, D. H., Uyen, B. P., & Ngan, L. K. (2022). The effectiveness of blended learning on students' academic achievement, self-study skills and learning attitudes: A quasi-experiment study in teaching the conventions for coordinates in the plane. Heliyon, 8(12). DOI: https://doi.org/10.1016/j.heliyon.2022.e12657

. Luo, B., & Wang, M. (2023). Effects of start times on academic performance: Will metacognitive learning strategy or flipped classroom approaches help sleepy young university students?. The International Journal of Management Education, 21(2), 100806. DOI: https://doi.org/10.1016/j.ijme.2023.100806

. Niederhauser, D. S., Howard, S. K., Voogt, J., Agyei, D. D., Laferriere, T., Tondeur, J., & Cox, M. J. (2018). Sustainability and scalability in educational technology initiatives: Research-informed practice. Technology, Knowledge and Learning, 23, 507-523. DOI: https://doi.org/10.1007/s10758-018-9382-z

. Lipnevich, A. A., & Smith, J. K. (2022). Student–feedback interaction model: revised. Studies in Educational Evaluation, 75, 101208. DOI: https://doi.org/10.1016/j.stueduc.2022.101208

. Brown, L. E., Kim, H. Y., Tubbs Dolan, C., Brown, A., Sklar, J., & Aber, J. L. (2023). Remedial programming and skill-targeted SEL in Low-Income and crisis-affected contexts: Experimental evidence From Niger. Journal of Research on Educational Effectiveness, 1-32. DOI: https://doi.org/10.1080/19345747.2022.2139785

. Taylor, S., Ryan, M., & Elphinstone, L. (2021). Generating genuine inclusion in higher education utilising an original, transferable, and customisable model for teaching and assessing reflective learning. Reflective Practice, 22(4), 531-549. DOI: https://doi.org/10.1080/14623943.2021.1933408

Asio, J. M. R., & Jimenez, E. (2020). Effect of remediation activities on grade 5 pupils’ academic performance in technology and livelihood education (TLE). Asio, JMR, & Jimenez, EC (2020). Effect of Remediation Activities on Grade, 5. DOI: https://doi.org/10.29333/pr/8464

. Finnan, C. (2018). Accelerating the learning of all students: Cultivating culture change in schools, classrooms and individuals. Routledge. DOI: https://doi.org/10.4324/9780429502576

. Kaffenberger, M. (2021). Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss. International Journal of Educational Development, 81, 102326. DOI: https://doi.org/10.1016/j.ijedudev.2020.102326

. Miles, K. H., Rosenberg, D., & Green, G. Q. (2017). Igniting the Learning Engine: How School Systems Accelerate Teacher Effectiveness and Student Growth through Connected Professional Learning. Education Resource Strategies.

. Kasinathan, A. Mustapha and I. Medi, "Adaptive learning system for higher learning," 2017 8th International Conference on Information Technology (ICIT), Amman, Jordan, 2017, pp. 960-970, doi: 10.1109/ICITECH.2017.8079975. DOI: https://doi.org/10.1109/ICITECH.2017.8079975

. Dewar, G. (2018). Spatial intelligence: What is it, and how can we enhance it. Parenting Science. www. parentingscience. com/spatialintelligence. html.

. Jamal, M. A., Brown, M., Yang, M. H., Wang, L., & Gong, B. (2020). Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7610-7619). DOI: https://doi.org/10.1109/CVPR42600.2020.00763

. Kay, R., Goulding, H., & Li, J. (2018). Assessing the impact of a virtual lab in an allied health program. Journal of Allied Health, 47(1), 45-50.

. Bobek, E., & Tversky, B. (2016). Creating visual explanations improves learning. Cognitive research: principles and implications, 1, 1-14. DOI: https://doi.org/10.1186/s41235-016-0031-6

. Shabiralyani, G., Hasan, K. S., Hamad, N., & Iqbal, N. (2015). Impact of visual aids in enhancing the learning process case research: District Dera Ghazi Khan. Journal of education and practice, 6(19), 226-233.

. Pawlowski, J. M., & Hoel, T. (2012). Towards a global policy for open educational resources: The Paris OER declaration and its Implications. White Paper, Version 0.2, Jyväskylä, Finland.

Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198–204. DOI: https://doi.org/10.5281/zenodo.7716416 .

. Méndez, E., & Sánchez-Núñez, P. (2023). Navigating the Future and Overcoming Challenges to Unlock Open Science. In: González-Esteban, E., Feenstra, R. A., Camarinha-Matos, L. M.

(eds), Ethics and Responsible Research and Innovation in Practice. Lecture Notes in Computer Science, vol 13875. Cham: Springer. DOI: https://doi.org/10.1007/978-3-031-33177-0_13 . DOI: https://doi.org/10.1007/978-3-031-33177-0_13

. Mtebe, J. S., & Raisamo, R. (2014). Investigating perceived barriers to the use of open educational resources in higher education in Tanzania. International Review of Research in Open and Distributed Learning, 15(2), 43-66. DOI: https://doi.org/10.19173/irrodl.v15i2.1803

D'Souza, F. (2021). Awareness and use of open educational resources: a study. Library Philosophy and Practice (e-journal).6570. https://digitalcommons.unl.edu/libphilprac/6570

. Wiley, D., Bliss, T. J., & McEwen, M. (2014). Open educational resources: A review of the literature. Handbook of research on educational communications and technology, 781-789. DOI: https://doi.org/10.1007/978-1-4614-3185-5_63

. Moon, J., & Park, Y. (2021). A scoping review on open educational resources to support interactions of learners with disabilities. International Review of Research in Open and Distributed Learning, 22(2), 314-341. DOI: https://doi.org/10.19173/irrodl.v22i1.5110

. Mićunović, M., Rako, S., & Feldvari, K. (2023). Open Educational Resources (OERs) at European Higher Education Institutions in the Field of Library and Information Science during COVID-19 Pandemic. Publications, 11(3), 38. DOI: https://doi.org/10.3390/publications11030038

. Levin, T., & Wadmany, R. (2006). Listening to students' voices on learning with information technologies in a rich technology-based classroom. Journal of Educational Computing Research, 34(3), 281-317. DOI: https://doi.org/10.2190/CT6Q-0WDG-CDDP-U6TJ

. Nordlöf, C., Norström, P., Höst, G., & Hallström, J. (2022). Towards a three-part heuristic framework for technology education. International journal of technology and design education, 32(3), 1583-1604. DOI: https://doi.org/10.1007/s10798-021-09664-8

. Amro, F., & Borup, J. (2019). Exploring blended teacher roles and obstacles to success when using personalized learning software. Journal of Online Learning Research, 5(3), 229-250.

. Davidovitch, N., & Yavich, R. (2023). Study Group Size, Motivation and Engagement in the Digital Era. Problems of Education in the 21st Century, 81(3), 361-373. DOI: https://doi.org/10.33225/pec/23.81.361

. Sandy, H. M., & Freeland, C. (2016). The importance of interoperability: Lessons from the Digital Public Library of America. International Information & Library Review, 48(1), 45-50. DOI: https://doi.org/10.1080/10572317.2016.1146041

. Bates, D. W., & Samal, L. (2018). Interoperability: what is it, how can we make it work for clinicians, and how should we measure it in the future?. Health services research, 53(5), 3270. DOI: https://doi.org/10.1111/1475-6773.12852

. Shrank, W. H., DeParle, N. A., Gottlieb, S., Jain, S. H., Orszag, P., Powers, B. W., &

Ndlovu, K., Scott, R. E., & Mars, M. (2021). Interoperability opportunities and challenges in linking mhealth applications and eRecord systems: Botswana as an exemplar. BMC medical informatics and decision making, 21(1), 1-12. DOI: https://doi.org/10.1186/s12911-021-01606-7

. Aroyo, L. M., Dolog, P., Houben, G. J. P. M., Kravcik, M., Naeve, A., Nilsson, M., & Wild, F. (2006). Interoperability in personalized adaptive learning. Journal of Educational Technology & Society, 9(2), 4-18.

. Ndlovu, K., Mars, M., & Scott, R. E. (2023). Validation of an Interoperability Framework for Linking mHealth Apps to Electronic Record Systems in Botswana: Expert Survey Study. JMIR Formative Research, 7, e41225. DOI: https://doi.org/10.2196/41225

. Tekesbaeva, N., Kultan, Y., Ongarbayeva, A., Ibraev, A., & Yerimbetova, Z. (2023). Digital technologies as an adaptive learning tool in higher education. In E3S Web of Conferences (Vol. 403, p. 08023). EDP Sciences. DOI: https://doi.org/10.1051/e3sconf/202340308023

. Mahesa, D. (2023). ADAPTIVE LEARNING: THE KEY TO UNLOCKING STUDENT POTENTIAL AND IMPROVING ACADEMIC RESULTS. STIPAS TAHASAK DANUM PAMBELUM KEUSKUPAN PALANGKARAYA, 1(3), 96-107.

. Gavrilović, N., Arsić, A., Domazet, D., & Mishra, A. (2018). Algorithm for adaptive learning process and improving learners’ skills in Java programming language. Computer Applications in Engineering Education, 26(5), 1362-1382. DOI: https://doi.org/10.1002/cae.22043

. Ghavifekr, S., & Rosdy, W. A. W. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International journal of research in education and science, 1(2), 175-191. DOI: https://doi.org/10.21890/ijres.23596

. Anindyaputri, N. A., Yuana, R. A., & Hatta, P. (2020). Enhancing students’ ability in learning process of programming language using adaptive learning systems: a literature review. Open Engineering, 10(1), 820-829. DOI: https://doi.org/10.1515/eng-2020-0092

. Kruger, D. (2020). Adaptive learning technology to enhance self-directed learning. Self-directed multi-modal learning in higher education (NWU self-directed learning series), 5, 93-116. DOI: https://doi.org/10.4102/aosis.2020.BK210.03

Publicado

2025-01-30

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Sebopelo, P. (2025). A adaptive learning strategies in open and distance eLearning: Opportunities and challenges for quality assurance. Review of Artificial Intelligence in Education, 6(i), e036. https://doi.org/10.37497/rev.artif.intell.educ.v6ii.36

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