ABSTRACT
Online education is gaining popularity because of its flexibility, accessibility, multimedia usage, and many other benefits that students enjoy. However, online learners, particularly in self-paced online learning (SPOL) courses, confront some inherent learning barriers, such as low learning awareness and engagement, lack of academic intervention, and lack of motivation. These barriers may negatively affect learners’ progress and academic performance in SPOL, especially in Science, Technology, Engineering, and Mathematics (STEM) courses, which require a more collaborative, supportive, and engaging environment for the learners to become successful. Recently, various artificial intelligence (AI) technologies have shown great potential in removing such barriers. In this chapter, we propose a methodology of intelligent learning dashboard, focusing on SPOL, and discuss three aspects: how to construct mechanisms for adaptive formative assessment and student engagement detection with the state-of-the-art AI techniques, how to design and integrate these technologies in intelligent learning dashboards, and how to include these mechanisms in the course learning design loop to ensure data collection and pedagogical connection.
