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Mario de la Puente – Interactive Learning Environments, 2024
The present study investigates the impact of the educational game Sociopolis on student engagement in the context of tenth-grade social science education. Employing a mixed-methods approach, this research examines engagement behaviors quantitatively and categorically. The participant pool consists of 183 students from four public schools in…
Descriptors: Foreign Countries, Educational Games, Gamification, Game Based Learning
Hummel, Hans G. K.; Boyle, Elizabeth A.; Einarsdóttir, Sif; Pétursdóttir, Arna; Graur, Aurel – Interactive Learning Environments, 2018
Choosing a career is one of the most important decisions that youth has to take but many young people find this a hard issue to engage with. Current career counselling practice does not appear very compelling or motivating to young people. Professional games could provide a more engaging and motivating way of acquiring professional awareness and…
Descriptors: Foreign Countries, High School Students, Educational Games, Career Awareness
Liu, I-Fan; Young, Shelley S. -C. – Interactive Learning Environments, 2017
The purpose of this study is to describe an online community-based English extensive reading contest to investigate whether the participants' intrinsic, extrinsic, and interpersonal motivations and learning results show significant gender differences. A total of 501 valid questionnaires (285 females and 216 males) from Taiwanese high school…
Descriptors: Competition, Motivation, Gender Differences, Questionnaires
Ponce, Héctor R.; Mayer, Richard E.; Figueroa, Verónica A.; López, Mario J. – Interactive Learning Environments, 2018
This article examines the effectiveness of a software that supports formative assessment in real-time of learners' vocabulary knowledge through an interactive highlighting method. Students in a classroom are given a passage on their computer screen and asked to highlight the words they do not understand. This information is summarized on the…
Descriptors: Foreign Countries, Undergraduate Students, Advanced Courses, Second Language Learning
Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design