Reflections on Adaptive Learning Analytics

Author:

Sarıyalçınkaya Ahmet Dogukan1ORCID,Karal Hasan2,Altinay Fahriye3,Altinay Zehra4

Affiliation:

1. Computer Programming Department, Vezirkopru Vocational School, Ondokuz Mayıs University, Turkey

2. Department of Computer Education and Instructional Technology, Faculty of Education, Trabzon University, Turkey

3. Societal Research and Development Center, Faculty of Education, Institute of Graduate Studies, Near East University, Cyprus

4. Societal Research and Development Center, Faculty of Education, Near East University, Cyprus

Abstract

Learning analytics is developed from the big data approach and plays an important role in the adaptive learning model. Learning analytics is individualized to provide more effective learning experiences and opportunities. Learning analytics can support learning and teaching a structured intervention model developed for those learning to improve their performance. This research chapter explains the two concepts from general to specific also the imperatives and distinctions between the two concepts. This chapter reveals that adaptive learning analytics can be defined as a subset of learning analytics that provides content to provide learners with more effective and adaptive learning opportunities. Learning analytics which is associated with adaptive learning calls upon adaptive learning analytics to create accurate individualized learning.

Publisher

IGI Global

Reference31 articles.

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3. Burrows, P. (2016). Adaptive learning: Can industry’s most provocative software make a difference in the classroom? EdSurge. https://www.edsurge.com/research/special-reports/adaptive-learning/

4. Carroll, J. B. (1963). A model of school learning. Teachers College.

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