Effects of Adaptive Learning on Active Learners' Learning Performance in Online Learning Environment

Abstract

The selection of appropriate method to identify learning style and adaptation technologies are critical issues influencing the design of adaptation based on the learning style. This research study aims to investigate the effects of adaptive learning on active learners' performance. Active learners' learning styles were automatically detected using literature-based method using Felder and Silverman Learning Style Model. Samples are twenty-one students enrolling the Multimedia Interactive Application course. The study applied pre-experimental research design of one group post-test type. The instruments used were students' log data, performance test and learning activities in LMS. Active learners were given group-problem solving tasks through forum during the course. The results showed that adaptive learning based on group-problem solving activities have significant influence to students' performance. These findings indicated that the identification of learning style based on actual behavior during online learning process and problem-solving activities in the group might increase the effect of adaptation, especially to active learners' performance.