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Sermsook, Kanyakorn; Liamnimitr, Jiraporn; Chantarangkul, Vikrom – English Language Teaching, 2020
Games have been widely accepted as an effective tool for language learning. They help learners achieve better learning outcome and create a learning atmosphere which contribute to learners' learning. The present study, hence, employed games to help EFL learners write better in English. In the present study, games were used to encourage Thai EFL…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Error Correction
Calvo-Ferrer, José Ramón – International Journal of Game-Based Learning, 2021
The frequency of word exposure in teaching materials, along with corrective feedback, has often been identified as a powerful variable in the learning of vocabulary in a foreign language. The effect of the number of times an action is presented as accurate in digital game-based language learning scenarios (i.e., knowledge of correct response [KCR]…
Descriptors: Feedback (Response), Error Correction, Computer Games, Video Games
Reynolds, Barry Lee; Kao, Chian-Wen – Computer Assisted Language Learning, 2021
Feedback researchers have given little attention to how administration of language-focused instruction before writing in a second language combined with subsequent error correction after writing can affect the grammatical accuracy of learners' future writing. Moreover, the mode of the instruction (i.e., teacher instruction or game-based…
Descriptors: Instructional Effectiveness, Direct Instruction, Second Language Instruction, Second Language Learning
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