This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

While the study of serious games has received due attention, few studies have investigated their potentials of simultaneously offering a route to both content and language acquisition. Understanding the interdisciplinary educational affordance of serious game play is significant, as it might provide game designers and teachers with insight into…

We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

This research aims to: (1) develop a feasible Android-based comic media of Gajah Mungkur Dam, and (2) reveal the effectiveness of the developed comic media in improving mathematical representation and critical thinking abilities on the materials of work and energy. The research subjects are senior high school students, consisting of 262 students…

Understanding equivalence is fundamental to STEM disciplines, yet misunderstandings and misconceptions inhibit students from fully appreciating or leveraging the concept. Using the game-based algebraic notation system, From Here to There! (FH2T), students explore ideas of equivalence by dynamically transforming expressions or equations among…

Mastering vocabulary can be a challenge as a great deal of information is delivered in intensive English courses. This study investigates the effects of mobile games on EFL students' vocabulary acquisition via the "Quizizz" application. A total of 56 female foundation year students from a Saudi Arabian university participated in this…

Mobile Assisted Language Learning (MALL) is now common in extra-curricular language learning, but, more recently, teachers have increasingly sought ways to utilise MALL as a communicative classroom tool. Research into the extent that MALL can transform a whole communicative language course, and learners' impressions of such courses, is scarce.…

Purpose: This study (1) used a person-centered approach to identify specific subgroups of 1,265 EFL learners who participated in Informal Digital Learning of English (IDLE) activities, and (2) looked at how different IDLE profiles are related to important affective variables. Design/Methodology: To identify IDLE profiles, we used cluster analysis.…

One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…

Self-beliefs are important determinants of student choice and success (Wigfield & Eccles, 2000) and are informed by student educational experiences, such as prior success with a task (Bandura, 1986). The potential for Computer-Based Interventions as self-belief-supporting learning environments is examined in this study, focusing on the…

This meta-analysis investigated the effects of learning video games on mathematics achievement of PreK-12th-grade students compared with traditional classroom instructional methods. Results from the 24 collected studies showed heterogeneity among effect sizes, both in magnitude and direction. Using a random effects model, a small but marginally…

We have observed that many computer-supported writing environments based on pedagogical strategies have only been designed to incorporate the cognitive aspects, but motivational aspects should also be included. Hence, we theorize that integrating game-based learning into the writing environment may be a practical approach that can facilitate…

This meta-analysis reviewed research between 2012 and 2018 focused on technology-assisted second language (L2) vocabulary learning for English as a foreign language (EFL) learner. A total of 45 studies of 2,374 preschool-to-college EFL students contributed effect sizes to this meta-analysis. Compared with traditional instructional methods, the…