Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…

This review study investigates the appropriation of sensing technology in context-aware ubiquitous learning (CAUL) in the fields of sciences, engineering, and humanities. 40 empirical studies with concrete learning outcomes across mandatory and higher education have been systematically reviewed and thematically analyzed with an outcomes-based…

This study aims to design an authoring system of robots and IoT-based toys for creating a scenario-based interactive learning environment for young English as a Foreign Language learners. This study adopts a design-based research approach to investigate the pedagogical needs, the critical features and usability of such a authoring system. Twelve…

Traditional physical education mainly relies on the instructor's verbal explanations and physical demonstrations. However, learners might be confused about whether their movements and positions are correct. Moreover, a typical badminton class has approximately 50 students, creating a huge teaching load for an instructor. To reduce the instructor's…

Swing movements and muscle strength are essential for mastering badminton techniques. Traditionally, students learn badminton through their instructor's physical demonstration, verbal instructions, and small group activities. To enhance students' learning experience and assist badminton instructors more effectively, this study proposes an…

In-service teachers' professional development regarding technology adoption in education is often focused on only one specific technology. To maximize the utilization of technologies, teachers need to be able to leverage different technologies seamlessly. Technological Pedagogical Content Knowledge (TPACK) is one of the most important frameworks…

Understanding the obstacles and causes students faced while learning with new technologies is the key to inform effective instructional designs. To achieve this aim, this study conducted a qualitative video analysis on language learners' observable behaviors when they took part in learning activities supported by the technology of robots and…

The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…