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Elva Yohana; Mirjam Anugerahwati – MEXTESOL Journal, 2023
Summary writing is considered one of the paramount assessments to determine students' reading comprehension. The purpose of this study is to examine the kinds of Computer-Assisted Language Learning (CALL) used in summary writing in relation to contexts and the points of recommendation for future research in the English language teaching (ELT)…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Alyson Collins; Stephen Ciullo; Steve Graham; Joong won Lee – Society for Research on Educational Effectiveness, 2024
Background/Context: Many students in the United States need access to effective writing instruction, with some requiring intensive intervention. Results from the National Assessment of Education Progress (NAEP) in writing over the past 25 years revealed that most students in the U.S. have yet to attain a proficient level of written expression…
Descriptors: Program Effectiveness, Writing Instruction, Elementary School Students, Intervention
Melor Md Yunus; Nur Amelia Mohd Nadzrin; Geoffrey Lim Fu Chien; Karmila Rafiqah M. Rafiq – International Society for Technology, Education, and Science, 2023
The use of Mobile-Assisted Language Learning (MALL) in teaching, especially in English as a Second Language (ESL) has become an emerging trend globally. In recent years, many educators have started to deliver lessons online using the concepts of MALL, including those in Malaysia, especially during pandemic COVID-19. Writing is an important skill…
Descriptors: Computer Assisted Instruction, Telecommunications, Handheld Devices, Writing Instruction
Bailey, Benjamin; Arciuli, Joanne – Autism: The International Journal of Research and Practice, 2022
Much of what is known about autism and literacy instruction is derived from studies including monolingual English-speaking children. Yet, less than one-fifth of the world's population are English speakers. This review examines the research on literacy instruction for children with autism learning to read and write in languages other than English.…
Descriptors: Literacy Education, Autism, Pervasive Developmental Disorders, Reading Instruction
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
Loncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
Zhang, Ruofei; Zou, Di – Computer Assisted Language Learning, 2022
Technology-enhanced collaborative writing for second language learning has been receiving accumulating attention from researchers and educators over years. However, there was a lack of updated review with foci on the types and effectiveness of technologies in collaborative writing. This study conducted a systematic and in-depth review of 34…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Second Language Instruction
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
Topping, Keith J.; Douglas, Walter; Robertson, Derek; Ferguson, Nancy – Review of Education, 2022
This systematic analysis examines effectiveness research on online and blended learning from schools, particularly relevant during the COVID-19 pandemic, and also educational games, computer-supported cooperative learning (CSCL) and computer-assisted instruction (CAI), largely used in schools but with potential for outside school. Eight research…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Blended Learning, Electronic Learning
Xu, Zhihong; Banerjee, Manjari; Ramirez, Gilbert; Zhu, Gang; Wijekumar, Kausalai – Computer Assisted Language Learning, 2019
Learning to write well can be a significant contributor to English language proficiency. The large population of English language learners (ELLs) has highlighted the need for educational technology as an important support for the different approaches to writing instruction for ELLs. In this meta-analysis, we examined the effectiveness of…
Descriptors: Meta Analysis, English (Second Language), Second Language Learning, Second Language Instruction
Chen, Tsuiping – Computer Assisted Language Learning, 2016
Some studies on technology-supported peer feedback in the writing classroom claim that it reduces the threatening atmosphere caused by face-to-face interaction and that the discourse patterns and language use in the electronic feedback are more flexible than in spoken discourse. Others present a negative view that the comments generated from…
Descriptors: English (Second Language), Second Language Learning, Feedback (Response), Computer Assisted Instruction

Garrett, Nina, Ed.; Hart, Robert S., Ed. – Foreign Language Annals, 1988
Describes and reviews "systeme-D," a foreign language microcomputer software package that provides support for composition writing in French. The software's pedagogical philosophy, programming, usability, technical ease, teaching use, intended audience, learning use, and related research are discussed. (CB)
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Computer Software, French
Bailo, Ellen R.; Sivin, Jay – Computers, Reading and Language Arts, 1983
Reviews two vocabulary improvement programs that have recently been introduced. (FL)
Descriptors: Computer Assisted Instruction, Evaluation Criteria, Language Arts, Reading Instruction

Pelletier, Pierre – International Journal of Instructional Media, 1992
Investigates the theoretical basis of the writing process and describes the possibilities of word processing as a tool to support it. Writing process models are compared; the advantages of word processing are discussed, highlighting the revision process; and a model for use by elementary and secondary teachers is suggested. (21 references) (LRW)
Descriptors: Comparative Analysis, Computer Assisted Instruction, Elementary Secondary Education, Models

Daiute, Colette A. – College Composition and Communication, 1983
Discusses what computers (word processors) can do for the writer. Examines the physical and psychological constraints experienced by writers and explains how word processors can help in overcoming them. (FL)
Descriptors: Audiences, Cognitive Processes, Computer Assisted Instruction, Computers