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Keehl, Oleksandra G. – ProQuest LLC, 2023
People have many reasons to want to learn a foreign language: some want to enjoy foreign media in its original form, some need it for business or travel, personal enrichment, and so on. Roughly 1/6 of Earth's population's learn languages with logographic writing systems (LWS) such as Chinese, Japanese and Korean as their native tongues. These…
Descriptors: Japanese, Korean, Second Language Learning, Second Language Instruction
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
Chou, Pao-Nan; Chang, Chi-Cheng; Hsieh, Shih-Wan – Technology, Pedagogy and Education, 2020
The purpose of the current study was to investigate students' overall learning process during the implementation of educational escape-the-room games (EERGs) in classrooms. This study adopted a two-stage case-study methodology, namely single-case and multi-case designs. In the first stage, a well-designed EERG for a Chinese language class was…
Descriptors: Teaching Methods, Educational Games, Educational Technology, Technology Uses in Education
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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