A Hybrid Diagnostics-based Learning System for Promoting College Students’ Digital Security: A Challenge to Digital STEM in College

Abstract

Numerous of traditional online system are not response to learner’s preference. Learners can have a lack of encouragement and a learning achievement rate is getting low. This research aims to develop an adaptive learning system using Hybrid Learning Diagnostic Approach (HLDA) in order to diagnose and detect learners' learning styles according to the criteria in the Index of Learning Style (ILS) into 3 dimensions (1) active-reflective, (2) visualverbal, and (3) sequential-global. A Learning EcoSystem (LES) was purposed and implemented as a web-based learning system consists of four main learning modules engaging with a storybased learning content regarding cyber threat. The experiment with students at Mae Fah Luang University show that the posttest results higher than the pretest, indicating that students from Learning Eco System had a significant improvement of learning outcome. Besides, this study also presents the challenges of STEM-based education in digital environment by integrating with many areas of learning disciplines.