Technology-enhanced Learning in Science, Technology, and Mathematics Education: Results on Supporting Student Learning

Abstract

To prepare students to be creative and lifelong learning individuals in a rapid growth in science, technology, and mathematics (STM), technology in education plays an important role for enhancing learning performance. In the recent years, researchers have demonstrated the pivotal influences of technological personalized learning environments based on the concept-effect relationship model on student learning performance improvement. Such learning environment has been demonstrated to be useful for helping teachers to diagnose learning problems for individual students according to test answers, and to provide personalized remedial learning guidance for improving students’ learning performance. Teachers can also use the knowledge gained from this system to choose learning materials that are appropriate for personalized student. To show effectiveness of technological personalized learning environments based on the concept-effect relationship model, this paper presents the results on supporting student conceptual learning in several areas such as mathematics, science, and computer science. Moreover, the guideline for researchers/practitioners is also presented at the end of this paper.