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Leander S. Hughes – Technology in Language Teaching & Learning, 2022
This review discusses and compares the findings of 38 peer-reviewed studies on text-based synchronous computer-mediated communication for second or foreign language learning from over the past twelve years. Research themes that emerged include: modality, corrective feedback, noticing, alignment and uptake, as well as task design/conditions and…
Descriptors: Second Language Learning, Second Language Instruction, Research Reports, Comparative Analysis
Mohsen, Mohammed Ali – Journal of Educational Computing Research, 2022
Written corrective feedback for improving L2 writing skills has been a debatable issue for more than two decades. The aims of this meta-analysis are to (1) provide a quantitative measure of the effect of computer-generated written feedback for improving L2 writing skills and (2) verify how moderators (i.e., adopted technology, task types, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Keuning, Hieke; Jeuring, Johan; Heeren, Bastiaan – ACM Transactions on Computing Education, 2019
Formative feedback, aimed at helping students to improve their work, is an important factor in learning. Many tools that offer programming exercises provide automated feedback on student solutions. We have performed a systematic literature review to find out what kind of feedback is provided, which techniques are used to generate the feedback, how…
Descriptors: Programming, Teaching Methods, Computer Science Education, Feedback (Response)
Qin, Jie; Lei, Lei – Studies in Second Language Learning and Teaching, 2022
This study offers a bibliometric analysis of research trends in task-based language teaching (TBLT) from 1985 to 2020. The analysis covers research questions related to the publication trends, venues for publication, productive authors, highly cited articles and references and, more importantly, the most frequently explored TBLT-related topics and…
Descriptors: Trend Analysis, Bibliometrics, Task Analysis, Second Language Learning
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
Kim, Min Kyung; McKenna, John William; Park, Yujeong – Remedial and Special Education, 2017
The purpose of this study was to investigate the evidence base for using computer-assisted instruction (CAI) to improve the reading comprehension of students with learning disabilities (LD). Twelve peer-reviewed studies (seven comparison group studies, five single-case studies) met selection criteria and were evaluated according to the relevant…
Descriptors: Computer Assisted Instruction, Educational Technology, Reading Comprehension, Learning Disabilities

Nesbit, John C.; Nakayama, Kazuhiko – CALICO Journal, 1990
A sequence comparison procedure, referred to as the edit distance procedure, has been shown to be particularly accurate for recognizing misspelled responses in second-language computer-assisted instruction. Experience with real dictation responses indicates that this technique reliably obtains markups that appear natural for users. (Author/VWL)
Descriptors: Computer Assisted Instruction, Dictation, Editing, Error Correction

Hoppe, H. Ulrich – Journal of Artificial Intelligence in Education, 1994
Examines the deductive approach to error diagnosis for intelligent tutoring systems. Topics covered include the principles of the deductive approach to diagnosis; domain-specific heuristics to solve the problem of generalizing error patterns; and deductive diagnosis and the hypertext-based learning environment. (Contains 26 references.) (JLB)
Descriptors: Algorithms, Artificial Intelligence, Computer Assisted Instruction, Deduction
Engwall, Olov; Balter, Olle – Computer Assisted Language Learning, 2007
The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation, Language Teachers