Attention is known to play an important role in shaping the behaviour of both human and animal foragers. Here, in three experiments, we built on previous interactive tasks to create an online foraging game for studying divided attention in human participants exposed to the (simulated) risk of predation. Participants used a "sheep" icon…

Learning with digital games has gained considerable popularity. While digital game-based learning has the potential to improve learners' language learning achievement, engagement and motivation, there still exists a gap when it comes to providing effective feedback to learners within these games. Conventional digital games generally provide…

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…

Virtual reality (VR) is the latest type of technology being developed and rapidly integrated into training environments. This study investigated students' intentions to use VR for training. The Technology Acceptance Model (TAM) was expanded to include two factors that are relevant to using VR in a dynamic learning environment. A survey of 310…

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…

Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods (k-means clustering, data visualization) to…

Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods ("k"-means clustering, data…

Early school leaving (ESL) is considered a significant societal issue globally due to the negative effect on young people's health, affect, and quality of life. Continued absenteeism is a risk factor for ESL. This study aimed to explore Irish children's health and wellbeing experiences during school closures due to the COVID-19 pandemic. These…

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…