The Development of Adaptive Learning in TESL Based on Neural Network
Abstract: The purpose of this study is to establish the adaptive learning in English learning in consideration of various students’ characteristics. To seek the various combinations for various learning path, artificial neural network (ANN), is applied as the core of e-learning system to explore the various students’ learning performances. Three different levels’ teaching contents for vocabulary, grammar, and reading are set for adaptive learning on the e-learning system. Finally, the regular online course for the control group and the e-learning system for adaptive learning for the experiment group are compared in the pre-test and post-test. Further, the statistical result will show the learning performance between experiment group and control group.
Presider: Rozinah Jamaludin, Universiti Sains Malaysia, Malaysia.