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Download full textKim, Miso – English Teaching, 2020
The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Task Analysis
Dewaele, Jean-Marc; Alfawzan, Mateb – Studies in Second Language Learning and Teaching, 2018
Interest in the effect of positive and negative emotions in foreign language acquisition has soared recently because of the positive psychology movement (Dewaele & MacIntyre, 2014, 2016; MacIntyre, Gregersen & Mercer, 2016). No work so far has been carried out on the differential effect of positive and negative emotions on foreign language…
Descriptors: Foreign Countries, Learner Engagement, Anxiety, English Language Learners
Direct linkChien, Chin-Wen – Teacher Development, 2018
A critical incident is an unexpected event that occurs in the classroom. Teachers can uncover a new understanding of the teaching and learning process through reflecting on these critical incidents. This study explored the writing and discussion of critical incidents among six student teachers with their cooperating teachers in a practicum under…
Descriptors: Foreign Countries, Student Teachers, 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
