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…

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…

Background and Context: Pair programming is used in classrooms to promote learning and engage a more diverse group of students in computing fields, but little is known about what it looks like in middle school. Objective: The aim of this study was to examine how programming pairs were interacting and about what. Method: Video, audio, and screen…

The present study investigates how the different modes of game-design triggers learning outcomes, focusing on peer learning and intergroup competition. A problem-solving science game was developed to help secondary students to learn about the motion of objects. Participants (N = 110) from an urban middle school were randomly assigned to four…

EFL (English as a foreign language) students usually learn by rote when they study English grammar. They usually memorize all the grammar rules mechanically instead of learning grammar in a structured way. Researchers have suggested that students can internalize knowledge via using knowledge construction tools and collaborated learning activities.…