Understanding the relationship between student behaviors and learning outcomes is crucial for designing effective collaborative learning environments. However, collaborative learning analytics poses significant challenges, not only due to the complex interplay between collaborative problem-solving and collaborative dialogue but also due to the…

Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…

Integrating digital games into learning about digital citizenship has garnered significant attention. While digital game-based learning has the potential to enhance learners' academic performance, engagement, and motivation, these games often focus on specific aspects of digital citizenship education and lack systematic design approaches.…

Block-based programing languages (BBPL) provide effective scaffolding for K-12 students to learn computational thinking. However, the output-based assessment in BBPL learning is insufficient as we can not understand how students learn and what mistakes they have had. This study aims to propose a data-driven method that provides insight into…

The trend in history education is gradually emphasizing the development of historical thinking and collaborative problem-solving skills, which are expected to enhance the breadth and depth of learners' thinking. The integration of game-based learning with collaborative problem-solving activities designed for historical thinking is expected to help…

This study explored the use of stealth assessments within a digital game to assess second language (L2) Chinese learners' reading comprehension. Log data tracking learners' in-game behaviors from a game designed for Chinese dual language immersion classrooms (Poole et al., 2022) were used to construct Bayesian Belief Networks to model reading…

The study explores the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment is conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…

This preliminary study examined whether distinct student profiles (N = 760) emerged based on their behavioral patterns in an online algebraic learning game. We applied k-means clustering analysis to clickstream data collected in the game and then examined how students' behavioral patterns varied across the clusters using data visualization. The…

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…

More research is needed on how to best use analytics to support educational decisions and design effective learning environments. This study was to explore and mine the data captured by a digital educational game designed for middle school science to understand learners' behavioral patterns in using the game, and to use evidence-based findings to…

The study explored the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment was conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…

This study utilized unplugged computational thinking learning material named Robot City as the instructional material. The board game corresponds to structural programming, including sequential structure, conditional structure, repetitive structure, and the modeling concept of calling a procedure in programming languages. According to the…

Learning games have great potential to become an integral part of new classrooms of the future. One of the key reported benefits is the capacity to keep students deeply engaged during their learning process. Therefore, it is necessary to develop models that can measure quantitatively how learners are engaging with learning games to inform game…

This study was to investigate the role of students' game self-efficacy in their game performance as well as in their visual behavior distributions and transfer patterns during their gameplay. A total of 48 university students were recruited for participating in a gameplaying task while wearing with an ASL Mobile Eye eye-tracker. After the…

It is challenging to utilize learning analytic technologies to examine gameplay log data for game-embedded assessment in the field of game-based learning. Analytical approaches based on a new perspective focusing on complicated contextual data are imperative in the current scenario. A relatively new concept called precision education, which…