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Lämsä, Joni; Uribe, Pablo; Jiménez, Abelino; Caballero, Daniela; Hämäläinen, Raija; Araya, Roberto – Journal of Learning Analytics, 2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Synchronous Communication, Learning Analytics
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Kane, Thomas J.; Boatman, Angela; Kozakowski, Whitney; Bennett, Christopher; Hitch, Rachel; Weisenfeld, Dana – Journal of Policy Analysis and Management, 2021
Many states are redesigning their college remediation policies to increase postsecondary degree completion. In 2012, Tennessee began waiving college math remediation for high school students who completed a computer-based remedial math course (SAILS) during their senior year. Using a regression discontinuity design, we find that the high school…
Descriptors: College Programs, Remedial Instruction, Remedial Mathematics, Computer Assisted Instruction
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Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
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Albano, Giovannina; Coppola, Cristina; Fiorentino, Giuseppe – International Journal for Technology in Mathematics Education, 2021
In this paper we analyse the role of the teacher in a Digital interactive Storytelling in Mathematics (DiST-M) activity. involved in the story as a character (the Guru, a math expert), the teacher acts as a mediator in students' problem-solving process. We analyse how the teacher may orchestrate the mathematical discussions to allow students…
Descriptors: Teacher Role, Mathematics Instruction, Story Telling, Problem Solving
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Huang, Lingyun; Li, Shan; Poitras, Eric G.; Lajoie, Susanne P. – British Journal of Educational Technology, 2021
Past research shows that both teachers' technological pedagogical content knowledge (TPACK) and their engagement in metacognitive activities are essential to technology integration in the classroom. However, the interplay between teachers' TPACK ability and their metacognitive skills is still underexplored, especially in the context of developing…
Descriptors: Metacognition, Teaching Methods, Technology Integration, Technological Literacy
Miriam Ama Bima Akoto – ProQuest LLC, 2021
In recent decades, a plethora of empirical work has indicated that collaborative writing (CW) affords more opportunities for collective scaffolding and language negotiation (Li & Kim, 2016; Li & Zhu, 2013; Storch, 2019) and promotes the development of second language (L2) writing skills (Bikowski &Vithanage, 2016; Storch, 2013; Strobl,…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Chen, Carol – ProQuest LLC, 2021
Most Taiwanese English language learners have been exposed to traditional approaches to acquiring English as a second or foreign language. Studies demonstrate current/traditional teaching practices are not the most effective for struggling English language learners, and the rate of improvement has been limited. Therefore, this study explores…
Descriptors: Foreign Countries, Bilingual Education, Blended Learning, Intervention
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Chang, Wei-Lun; Benson, Vladlena – Innovations in Education and Teaching International, 2022
This study explores a jigsaw-based learning method for collaboration on cloud platforms. We implement and test the method on a Masters course with 42 students from 17 countries. Regression analysis results revealed that the jigsaw method influenced individual learning in the group, usefulness of Google Classroom and slides influenced group…
Descriptors: Computer Software, Computer Assisted Instruction, Cultural Differences, Cooperative Learning
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Evers, Katerina; Chen, Sufen – Computer Assisted Language Learning, 2022
This study examined the difference in adults' pronunciation performance with peer feedback and individual practice when using an automatic speech recognition (ASR) system. The same ASR software was used in both the comparison (n = 31) and the experimental group (n = 33) for 12 weeks. The participants were working adults in Taiwan. During the…
Descriptors: Automation, Computer Assisted Instruction, Speech Communication, Peer Evaluation
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Jia, Shijiao; Bava Harji, Madhubala – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The aim of this paper is to present a systematic review of studies conducted on mobile-assisted task-based learning between 2013 and 2022. The primary objectives of the review are to elicit educational and learning contexts, research areas and foci, research trends, methodologies, data collection techniques, mobile technology used,…
Descriptors: Databases, Research Reports, Telecommunications, Handheld Devices
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Kim, Na-Young – English Teaching, 2022
The purpose of this study was to examine the impacts of AI-integrated MALL on Korean students' TOEIC preparation, by comparing with AI-integrated CALL. A total of 496 freshmen students participated in this study. They were arbitrarily assigned to AI CALL (n = 190), AI MALL (n = 164), and the control (n = 132) groups. During a 2021 academic…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Test Preparation
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Tafazoli, Dara; Tafazoli, Dara – Teaching English with Technology, 2022
Since 2001, "Teaching English with Technology" (TEwT) has published hundreds of research articles to improve the quality of applying technology in language education and research. This collection of articles has covered many aspects of Computer-Assisted Language Learning (CALL); however, due to the importance of CALL teacher education…
Descriptors: Teacher Education Programs, Faculty Development, Language Teachers, English (Second Language)
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Tseng, Wen-Ta; Chen, Sufen; Wang, Shih-Ping; Cheng, Hsing-Fu; Yang, Pei-Shan; Gao, Xuesong A. – Journal of Educational Computing Research, 2022
Mobile-assisted language learning has emerged as a valuable tool for L2 pronunciation learning as it offers ample opportunities for learners to perform authentic learning activities anytime and anywhere. However, the extent to which mobile devices may facilitate or enhance L2 pronunciation has yet to be systematically investigated. To address the…
Descriptors: Pronunciation Instruction, Teaching Methods, Meta Analysis, Second Language Learning
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Chiaráin, Neasa Ní – Research-publishing.net, 2022
"An Corpas Cliste" ('Clever Corpus') is an Irish language learner corpus. The corpus data comes from a purpose-built intelligent Computer Assisted Language Learning (iCALL) platform called "An Scéalaí" ('the Storyteller') and comprises both audio and text, produced by second and third level learners of Irish. Metadata (e.g. L1,…
Descriptors: Computational Linguistics, Irish, Computer Assisted Instruction, Second Language Learning
Derryn Jackson – Online Submission, 2022
Vocabulary is key to English language learning; it is the basis of all languages. However, learning long lists of words and their meanings can be ineffective, tedious, and boring. This is especially true for lower elementary students as they navigate school life and development. Can digital gamification solve this problem? The purpose of this…
Descriptors: Vocabulary, English (Second Language), Second Language Learning, Elementary School Students
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