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Direct linkRakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
Mughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Download full textFerlazzo, Larry; Sypnieski, Katie Hull – American Educator, 2018
With more than 35 years of combined experience teaching English language learners (ELLs), Larry Ferlazzo and Katie Hull Sypnieski understand how students learn. Together, they have written a series of books on the topic, and in this article they share their insights. Chief among them is that ELLs require particular instructional strategies to help…
Descriptors: English Language Learners, Teaching Methods, Individualized Instruction, Student Motivation
Radi, Odette Bourjaili – International Association for Development of the Information Society, 2015
The content of this paper will focus on both language and computer practices and how school age students develop their literacy skills in the two domains of "language" and "computers." The term literacy is a broad concept that has attracted many interpretations over the years. Some of the concepts raised by the literature apply…
Descriptors: Technology Uses in Education, Educational Technology, Technology Integration, Student Attitudes
Mezei, Peter J.; Heller, Kathryn Wolff – Physical Disabilities: Education and Related Services, 2012
Many students with physical disabilities have difficulty with writing fluency due to motor limitations. One type of assistive technology that has been developed to improve writing speed and accuracy is word prediction software, although there is a paucity of research supporting its use for individuals with physical disabilities. This study used an…
Descriptors: Educational Technology, Assistive Technology, Prediction, Physical Disabilities
Hoey, Rebecca Simon – ProQuest LLC, 2012
Teacher feedback and interaction are factors of success and satisfaction in online courses, but courses designed for computer-assisted instruction (CAI) require less communication between a teacher and student. The goal of this research was to examine the impact of teachers' feedback in online self-paced secondary math courses where CAI was…
Descriptors: Mathematics Instruction, Feedback (Response), Academic Achievement, Online Courses
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
