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What is Adaptive Learning?
What is Adaptive Learning?
Adaptive learning can be defined as a process that “dynamically adjusts the way that instructional content is presented to students based on their comprehension of the material as revealed in their responses to embedded assessments or learner preferences such as visual presentation of materials” (Lowendahl et al., 2016, p. 7)
Introduction to adaptive learning
Case Studies
Case Studies
TALP software in Taiwan elementary schools
TALP software in Taiwan elementary schools
TALP (Taiwan Adaptive Learning Platform) is an adaptive software developed by the Taiwanese government and used in schools nationwide. TALP offers support in Chinese, English, math, and science.
The present case study investigated the effectiveness and teacher perception of TALP in three elementary school classrooms. The researcher found that TALP was effective in improving math skills. Additionally, both teachers involved in the study believe that TALP positively impacts learner motivation and skills. They also appreciated the opportunity to rely on TALP data to tailor their lessons to better meet their students' needs.
s10639-021-10851-2.pdfs41239-021-00271-0.pdfAdaptive tool to increase learners’ performance & reduce dropout
Adaptive tool to increase learners’ performance & reduce dropout
This research paper presents a case study on an adaptive system called the Learning Intelligent System (LIS). The system was tested in a fully online university to increase learners’ performance, reduce dropout, and ensure proper feedback. The system was tested in two first-year courses in the fully online BSc of Economics and Business at the Universitat Oberta de Catalunya. Results showed improved overall learner performance compared to previous semesters when the tool was not used. Additionally, most learners perceived the tool as useful and effective and wished to continue using it.
More case studies
More case studies
Benefits, Challenges, & Future Possibilities
Benefits, Challenges, & Future Possibilities
About the author
About the author
Noëmie Sollier is a Ph.D. student at Iowa State University, co-majoring in Applied Linguistics and Technology and in Human-Computer Interaction.
She is passionate about researching how new technologies impact learner motivation, persistence, and ultimately success, in the context of self-directed foreign language learning.
Noëmie is most interested in studying the ways learners use and perceive gamified applications, adaptive learning platforms, and social media platforms for language learning.
Sources
Sources
Guerrero-Roldán, A. E., Rodríguez-González, M. E., Bañeres, D., Elasri-Ejjaberi, A., & Cortadas, P. (2021). Experiences in the use of an adaptive intelligent system to enhance online learners' performance: a case study in Economics and Business courses. International Journal of Educational Technology in Higher Education, 18, 1-27.
Liu, T. C. (2022). A case study of the adaptive learning platform in a Taiwanese Elementary School: Precision education from teachers’ perspectives. Education and Information Technologies, 27(5), 6295-6316.
Lowendahl, J. M., Thayer, T. L. B., & Morgan, G. (2016). Top 10 strategic technologies impacting higher education in 2016. Research Note G00294732, 15.
Martin, F., Chen, Y., Moore, R. L., & Westine, C. D. (2020). Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018. Educational Technology Research and Development, 68, 1903-1929.
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