참고문헌
- Acampora, G., Gaeta, M., & Loia, V. (2011). Combining Multi-agent Paradigm and Memetic Computing for Personalized and Adaptive Learning Experiences. Computational Intelligence Journal, 27(2), 141-165. https://doi.org/10.1111/j.1467-8640.2010.00367.x
- Albert, D., & Lukas, J. (1999). Knowledge Spaces: Theories, Empirical Research, and Applications. London, UK: Psychology Press, Routledge Taylor & Francis Group. Bulletin of the Graduate School of Education, Hiroshima University, 1(50), 25-34. Hiroshima, Japan.
- Albert, D., Schrepp, M., & Held, T. (1994). Construction of knowledge spaces for problemsolving in chess. In G. H. Fischer, & D. Laming (Eds.), Contributions to mathematical psychology, psychometrics, and methodology (pp. 123-135). Recent Research in Psychology. New York, USA: Springer New York.
- Albert, D., & Mori, T. (2001). Contributions of Cognitive Psychology to the Future of E-Learning. Bulletin of the Graduate School of Education, Hiroshima University, 1(50), Learning and Curriculum Development, 25-34.
- Cho, Y. (2021). Investigating Factors of Higher Education on Job Satisfaction, Globalization, and Hosting Country. Journal of Industrial Distribution & Business, 12(2), 7-17.
- Doignon, J. P., & Falmagne, J.C. (1985). Spaces for the assessment of knowledge. International Journal of Man-Machine Studies, 23, 175-196. https://doi.org/10.1016/S0020-7373(85)80031-6
- Doignon, J. P. & Falmagne, J. C. (1999). Knowledge Spaces. Berlin, Heidelberg, New York: Springer-Verlag.
- Doignon, J. P., & Falmagne, J. C. (2016). Knowledge spaces and learning spaces. In W. H. Batchelder, H. Colonius, & E. N. Dzhafarov (Eds.), New Handbook of Mathematical Psychology (pp.274-321), Cambridge, UK: Cambridge University Press.
- Elliott, A. J., & Dweck, C. S. (2005) Handbook of Competence and Motivation. New York, NY: The Guilford Press.
- El-Sabagh & Hamed, E. (2020). The Relationship between Learning-Styles and Learning Motivation of Students at Umm Al-Qura University. Journal of Egyptian Association for Educational Computer, 8(1), 1-28.
- El-Sabagh, H. A. (2021). Adaptive E-Learning Environment based on Learning Styles and its Impact on Development Students' Engagement. International Journal of Educational Technology in Higher Education, 18(53), 1-24. https://doi.org/10.1186/s41239-020-00238-7
- Espasa, A., & Meneses, J. (2010). Analyzing Feedback Processes in an Online Teaching and Learning Environment: An Exploratory Study. Higher Education, 59, 277-292. https://doi.org/10.1007/s10734-009-9247-4
- Eze, N. (2012). The Effect of Aleks on Students' Mathematics Achievement in an Online Learning Environment and the Cognitive Complexity of the Initial and Final Assessment. Georgia, US: Doctoral dissertation, Georgia State University, Georgia, U.S.
- Fang, Y., Ren, Z., Hu, X., & Graesser, A. C. (2019) A meta-analysis of the effectiveness of ALEKS on learning, Educational Psychology, 39(10), 1278-1292. https://doi.org/10.1080/01443410.2018.1495829
- Harati, H., Sujo-Montes, L., Tu, C., Armfield, S. J. W., & Yen, C. (2021). Assessment and Learning in Knowledge Spaces (ALEKS) Adaptive SystemImpact on Students' Perception and Self-Regulated Learning Skills. Education Sciences, 11, 1-21.
- Heller, J., Steiner, C., Hockemeyer, C., & Albert, D. (2006). Competence-based Knowledge Structures for Personalized Learning. International Journal on E-Learning, 5(1), 75-88.
- Hopkins, D. (2004). Assessment for Personalized Learning: The Quite Revolution. In General Teaching Council Conference, Perspectives on Pupil Assessment (pp.10-15). November 29, London, UK, GTC.
- Gifford, B. R. (2001). Transformational Instructional Material, Settings, and Economics. In The Case for the Distributed Learning Workshop. Minneapolis, MN: The Distributed Learning Workshop. 1-71.
- Jackson, M. J., Helms, M. M., Jackson, W. T., &Gum, J. R. (2011). Student Expectations of Technology-enhanced Pedagogy: A Ten-year Comparison. Journal of Education for Business, 86, 294-301. https://doi.org/10.1080/08832323.2010.518648
- Kerr, P. (2016). Adaptive Learning. ELT Journal, 70(1), 88-93. https://doi.org/10.1093/elt/ccv055
- Law, M. Y. (2021). Student's Attitude and Satisfaction towards Transformative Learning: AResearch Study on Emergency Remote Learning in Tertiary Education. Creative Education, 12, 494-528. https://doi.org/10.4236/ce.2021.123035
- Mainemelis, C., Boyatzis, R. E., & Kolb, D. A. (2002). Learning Styles and Adaptive Flexibility: Testing Experiential Learning Theory. Management Learning, 33(1), 5-33. https://doi.org/10.1177/1350507602331001
- National Research Council (2002). Technology and Assessment: Thinking ahead - Proceedings fromthe Workshop. Washington DC: National Academy Press.
- Normadhi et al., N. B., Shuib, L., Nasir, H. N. M., Bimba, A., Idris, N., & Balakrishnan, V. (2019). Identification of Personal Traits in Adaptive Learning Environment: Systematic Literature Review. Computers & Education, 130, 168-190. https://doi.org/10.1016/j.compedu.2018.11.005
- Nwaogu, E. (2012). The Effeect of Aleks on Students' Mathematics Achievement in an Online Learning Environment and the Cognitive Complexity of the Initial and Final Assessments. Georgia, U.S.: Doctoral Dissertation, Georgia State University, Georgia, U.S.
- Okoye, K. (2018). A Systematic Review of Process Modelling Methods and its Application for Personalized Adaptive Learning Systems. Journal of International Technology and Information Management, 27(3), 23-46. https://doi.org/10.58729/1941-6679.1379
- Oxman, S. & Wong W. (2014). White Paper: Adaptive Learning Systems. DeVry Education Group and Integrated Education Solutions.
- Popescu, E, Trigano, P., & Badica, C. (2007). Towards a Unified Learning Style Model in Adaptive Educational Systems. Seventh IEEE International Conference on Advanced Learning Technologies. July 18-20, Niigata, Japan. 804-808.
- Popescu, E. (2008). Dynamic Adaptive Hypermedia Systems for E-learning. France: Doctoral Dissertation, Universite de Technologie de Compiegne, Compiegne, France.
- Reddy, A. A., & Harper, M. (2013). ALEKS-based Placement at the University of Illinois. In J. Falmagne, D. Albert, C. Doble, D. Eppstein, & X. Hu (Eds.), Knowledge Spaces: Applications in Education (pp.51-68), Berlin, Heidelberg, Germany: Springer.
- Reimann, P., Bull, S., Kickmeier-Rust, M., Vatrapu, R., & Wasson, B. (2016). Measuring and Visualizing Learning in the Information-rich Classroom. New York, US: Routledge.
- Scalise, K., Bernbaum, D. J., & Timms, M. (2007). Adaptive Technology for E-Learning: Principles and Case Studies of an Emerging Field. Journal of the American Society for Information Science and Technology, 58(14), 2295-2309. https://doi.org/10.1002/asi.20701
- Steiner, C. M., Nussbaumer, A., & Albert, D. (2009). Supporting Self-Regulated Personalized Learning through Competence-based Knowledge Space Theory. P olicy Futures in Education, 7(6), 645-661. https://doi.org/10.2304/pfie.2009.7.6.645
- Stokes, T. A., Gillan, D. J., & Braden, G., J. P. (2016). Establishing the Link between Usability and Student Satisfaction in Adaptive Online Learning. Proceedings of the Human Factors and Ergonomics Society (pp.1969-1973). September 19-23, Washington, DC. US.
- Sullins, J., Meister, R., Craig, S. D., Wilson, W. M., Bargagliotti, A., & Hu, X. (2013). The Impact of a Mathematical Intelligent Tutoring System on Students' Performance on Standardized High-Stake Tests. In J. Falmagne, D. Albert, C. Doble, D. Eppstein, & X. Hu (Eds.), Knowledge Spaces: Applications in Education (pp.69-78), Berlin, Heidelberg, Germany: Springer.
- Sun, Q., Abdourzazkou, Y., & Norman, T. J. (2017). LearnSmart, Adaptive Teaching, and Student Learning Effectiveness: An Empirical Investigation. Journal of Education for Business, 92(1), 36-43. https://doi.org/10.1080/08832323.2016.1274711
- Taylor, J. M. (2006). The Effects of a Computerized-Algebra P rogram on Mathematics Achievement of College and University Freshmen Enrolled in a Developmental Mathematics Course. Texas, U.S.: Doctoral Dissertation, Texas A&M University, College Station, Texas, U.S.
- Taylor, D., L., Yeung, M., & Bashet, A. Z. (2021). Personalized and Adaptive Learning. In J. Ryoo, & K. Winkelmann (Eds.), Innovative Learning Environments in STEM Higher Education: Opportunities, Challenges, and Looking Forward (pp.17-34), New York, NY: Springer Publishing.
- Verdu, E., Regueras, L. M., Verdu, M. L., De Castro, J. P., & Perez, M. A. (2014). An Analysis of the Research on Adaptive Learning: The Next Generation of E-Learning. WSEAS Transactions on Information Science & Applications, 6(5), 859-868.
- Webley, K. (2013). The Adaptive Learning Revolution. Time Magazine, June 6, http://nation.time.com/2013.
- Xu, Y. J., Meyer, J. A., & Morgan, D. D. (2009). A Mixed-Methods Assessment of Using an Online Commercial Tutoring System to Teach Introductory Statistics. Journal of Statistics Education, 17(2), 1-16.
- Yang, J., Huang, R., & Li, Y. (2013). Optimizing classroom environment to support technology enhanced learning. In A. Holzinger & G. Pasi (Eds.), Human-computer interaction and knowledge discovery in complex (pp. 275-284), Berlin, Germay: Springer
- https://www.mheducation.com
- https://www.aleks.com