Game Learning Analytics can be used to conduct evidence-based evaluations of the effect that serious games produce on their players by combining in-game user interactions and traditional evaluation methods. We illustrate this approach with a case-study where we conduct an evidence-based evaluation of a serious game's effectiveness to increase…

To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…

Drama learning is helpful for English speaking, however, few studies provided students with opportunities to practice drama conversations individually. This study proposed a Context-Awareness Smart Learning Mechanism (CASLM) and integrated into SmartVpen that consisted of context-aware learning content, context-aware input assistance, oral…

Students' skilful use of self-regulatory learning strategies is becoming fundamental to the advent of blog-based learning. Moreover, the use of Interaction Analysis (IA) in studying the learning dynamics in Computer-Supported Collaborative Learning (CSCL) activities is on the increase, particularly aiming to support participants by means of IA…

The development of information technology and social networks has created new opportunities to access lifelong learning in the form of informal learning. In an informal learning environment, learning takes place via Communities of Practice (CoP). The learning success factors in online CoPs are learners' similarity in learning interests and…

As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…

The teaching of artificial intelligence (AI) has increasingly become a topic of investigation among educational researchers. Studies of AI education have predominantly focused on the university level; less attention has been paid to teaching AI in K-12 classrooms. This study synthesised empirical studies on K-12 AI education, with the aims of…

This research aims to examine students' perceptions of the benefits and constraints of using Virtual Interpreting Practice (VIP), a mobile-based virtual reality application for bi-directional English/Chinese consecutive and sight interpreting learning that was developed within the project. Thirty-one Chinese university students participated in an…

The pandemic brought a massive shift in traditional education strategies. Educational literature is focusing on case studies for online-learning platforms. This research aims to break down the adaptations in teaching styles and curriculums across different countries due to the worldwide shift towards newer technology and learning mediums to…

Digital game-based and gamified technologies hold much promise to promote the development of learners' conceptual knowledge. This efficacy study used desktop virtual reality (dVR) to investigate how the place-based digital gameful learning experience (DGLE) "Watershed Explorers", implemented as a curriculum enhancement activity, impacted…

This study proposed a cognitive-based game mechanism based on the revised Bloom's taxonomy of cognitive processing dimensions. Moreover, a mobile Chinese history educational game, Void Broken: The Qing Dynasty, was developed based on the cognitive-based game mechanism to promote learners' cognitive thinking in history learning. This empirical…

Sentiment analysis (SA) is widespread across all fields and has become one of the most active topics in education research, and there is a growing body of papers published. So far, however, there has been little discussion about comprehensive literature reviews in SA in education. Therefore, this study aims to review the high-qualified scientific…

Researchers have pointed out the important role of self-regulation in learning. The self-regulated learning (SRL) process consists of three stages (i.e. forethought, performance, and self-reflection), each of which could involve different strategies for achieving the aim of SRL. To enable researchers and teachers to have a whole picture of how…

The purpose of the present study is to attain a better understanding of Collaborative Learning in Informal Spaces (CLIS) by addressing the nature of learning activities that will trigger socio-cognitive conflicts and the kind of socio-emotional challenges experienced in CLIS. To this end, research was conducted over four weeks where tasks were…

Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…