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Direct linkHoa T. Vinh Le; Nicole Ziegler – Language Learning & Technology, 2025
Numerous empirical studies and syntheses have explored technology-mediated task-based language teaching (TMTBLT) (for example, Chong & Reinders, 2020; Kim & Namkung, 2024; Lai & Li, 2011; Ziegler, 2016), with findings highlighting the affordances of technology for interaction and its associated benefits. However, few studies have…
Descriptors: Blended Learning, Teaching Methods, Task Analysis, Second Language Learning
Eun Seon Chung – Language Learning & Technology, 2024
While previous investigations on online machine translation (MT) in language learning have analyzed how second language (L2) learners use and post-edit MT output, no study as of yet has investigated how the learners process MT errors and what factors affect this process using response and reading times. The present study thus investigates L2…
Descriptors: English (Second Language), Korean, Language Processing, Translation
Scholz, Kyle W.; Schulze, Mathias – Language Learning & Technology, 2017
Recent research in digital game-based language learning has been encouraging, yet it would benefit from research methods that focus on the gaming processes and second-language development (Larsen-Freeman, 2015) rather than learner/player reflection or individuals' beliefs about the validity of gameplay. This has proven challenging as research…
Descriptors: Second Language Learning, Second Language Instruction, Role Playing, Observation
Guichon, Nicolas – Language Learning & Technology, 2017
This article proposes a methodology to create a multimodal corpus that can be shared with a group of researchers in order to analyze synchronous online pedagogical interactions. Epistemological aspects involved in studying online interactions from a multimodal and semiotic perspective are addressed. Then, issues and challenges raised by corpus…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Cowan, Ron; Choo, Jinhee; Lee, Gabseon Sunny – Language Learning & Technology, 2014
This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
