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Direct linkWenting Chen; Meixiu Zhang – Language Awareness, 2024
While much research supports the benefits of computer-mediated collaborative writing (CW) in second language (L2) classrooms, the assessment of CW has received scant attention. This study proposed an assessment scheme considering both the products and processes when assessing online synchronous CW, and explored its effects on learners'…
Descriptors: Foreign Countries, College Students, English (Second Language), English Language Learners
Such, Brenda – Interactive Learning Environments, 2021
As second-language (L2) classrooms embrace technology for learning through computer-mediated communication, there is need to consider how L2 learners can learn online collaborative techniques when traditional teaching methods have not encouraged online collaborative skills. This qualitative study examines how post-secondary English language…
Descriptors: Scaffolding (Teaching Technique), English Language Learners, Collaborative Writing, Technology Uses in Education
Moran, Clarice – Journal of Interactive Learning Research, 2017
Preservice teachers need opportunities to understand the special needs of English Language Learners (ELLs) before they begin to teach them, yet frequently their exposure is limited to a journal article or college lecture. This collective case study aimed to explore the experiences of 17 American, native English-speaking preservice teachers as they…
Descriptors: Preservice Teachers, Preservice Teacher Education, Student Needs, English Language Learners
Download full textFeng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
