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Choice of Pedagogical Agents as Virtual Math Tutors: Perspectives from Children and College Students
Huang, Xiaoxia; Mathews, Justin L.; Hsiao, E-Ling – Journal of Educators Online, 2022
The central research question of this empirical study was: How do student demographics, math self-efficacy, and math anxiety relate to and predict their choice of pedagogical agents serving as virtual math tutors? A total of 152 middle school students and 135 college students were surveyed on their perceived math self-efficacy, math anxiety, and…
Descriptors: Tutoring, Mathematics Instruction, Middle School Students, College Students
Sara Sadat Hosseini; Hassan Soleimani; Fatemeh Hemmati; Jafar Afshinfar – Iranian Journal of Language Teaching Research, 2025
From the complex dynamic systems theory perspective, evaluating CALL pedagogy involves miscellaneous variables. It seems the ecosystem of the CALL environment necessitates an array of extralinguistic (Ecolinguistically situated) issues to be considered in any appraisal of the CALL milieu. To this end, this paper aims to develop and validate a…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Factor Analysis
Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Heng Lu – PASAA: Journal of Language Teaching and Learning in Thailand, 2023
The test view is on the Duolingo English Test (DET), an alternative online English proficiency test with a machine-driven characteristic. The review covers essential information of the DET such as test purpose, usage, score-mapping with CEFR scale, price, and publisher. Meanwhile, the test usefulness is discussed with focuses on reliability,…
Descriptors: Computer Software, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Buchin, Zachary L.; Mulligan, Neil W. – Journal of Educational Psychology, 2023
Retrieval practice typically benefits later memory more than restudy (i.e., the testing effect). The benefits of retrieval-based learning generalize across a range of materials and contexts, leading many cognitive scientists to advocate for broad educational implementation. However, educators and practitioners call for more research on factors…
Descriptors: Prior Learning, Memory, Learning Processes, Learning Strategies
Hsing-Yu Hou; Pei-Jung Wu; Chih-Teng Chen; Li-Wen Huang – International Journal of Information and Communication Technology Education, 2025
This study created an all-English learning environment for teachers and students by integrating the theoretical framework of the University Competence Assessment Network common competency with the pedagogical method of English as a Medium of Instruction (EMI). The study targeted approximately 45 students, ranging from sophomore to senior, taking…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Language of Instruction
Shireen Jamal Mohammed; Maryam Waleed Khalid – Language Testing in Asia, 2025
While over the last couple of years, there has been a growing investigation into the use of Artificial Intelligence (AI) within language learning, very little has been written regarding how such AI feedback influences the complex experiences of EFL learners in terms of motivation, foreign language peace of mind (FLPoM), trait emotional…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Software, English (Second Language)
Marta Gràcia; Jesús M. Alvarado; Fàtima Vega; Maria Josep Jarque; Pamela Castillo; Ana Luisa Adam-Alcocer – Computer Assisted Language Learning, 2025
Digital tools can guide and support teachers in professional development programmes. The aim of this study was four-fold: (1) to explore changes introduced in classroom methodology by secondary school teachers during their participation in a professional development programme, using the digital tool EVALOE-DSS, based on conversational methodology;…
Descriptors: Oral Language, Faculty Development, Language Teachers, Second Language Instruction
Tsang, Art – Language Learning in Higher Education, 2022
Language laboratories exist in many language centres across the globe. Situated in the popularity of self-access and computer-assisted language learning in the present era, the study investigated tertiary-level English as a foreign language (EFL) learners' general and, particularly, negative views of speech analysis software. Two hundred and…
Descriptors: Independent Study, Intonation, English (Second Language), Foreign Countries
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
Gi-Zen Liu; Jalil Fathi; Masoud Rahimi – Computer Assisted Language Learning, 2025
Intercultural communicative competence (ICC) has recently attracted the researchers' attention in the English as a foreign language (EFL) context; however, insufficient studies seem to have examined the role of online programmes in enhancing EFL learners' ICC. The current study, therefore, employed a mixed-methods approach to explore EFL learners'…
Descriptors: Intercultural Communication, Communicative Competence (Languages), English (Second Language), Second Language Learning
Jiang, Xiangying; Rollinson, Joseph; Plonsky, Luke; Gustafson, Erin; Pajak, Bozena – Foreign Language Annals, 2021
Duolingo is a commercial language-teaching platform that offers free courses on the web and on mobile apps. This study reports the ACTFL listening and reading proficiency levels of adult Duolingo learners who had completed beginning-level courses in Spanish or French. The participants (n = 225) were learners residing in the United States, had…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Chebli, Sabine Saade; Lanovaz, Marc J.; Dufour, Marie-Michèle – Journal of Special Education Technology, 2017
Given that children with autism spectrum disorders (ASDs) often require one-to-one individualized instruction, using tablets as teaching tools may represent an interesting option in classrooms with high student to teacher ratios. The purpose of our study was to extend research by evaluating the effects of tablet-based instruction on the…
Descriptors: Autism, Pervasive Developmental Disorders, Handheld Devices, Telecommunications