In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…

Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

With the ubiquitous presence of media devices, media multitasking has become prevalent in an educational context. Several authors have synthesized the literature on this topic, but no systematic review has been carried out so far. The present study fills this gap by examining the academic papers in the past decade to delineate the research trends,…

The purpose of this quasi-experimental study was to determine the degree that creative and playful learning (CPL) in a technology-enriched playground influences academic achievement of students and what factors are responsible for successes. The participants were 276 students from 12 elementary classrooms in the Netherlands and Finland. The…

Educational games can be viewed in two ways, "learning to play" or "playing to learn." The Chinese Idiom String Up Game was specifically designed to examine the effect of "learning to play" on the interrelatedness of players' gameplay interest, competitive anxiety, and perceived utility of pre-game learning (PUPGL).…