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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
Lee, Ju Seong; Xie, Qin – Innovation in Language Learning and Teaching, 2023
Purpose: This study (1) used a person-centered approach to identify specific subgroups of 1,265 EFL learners who participated in Informal Digital Learning of English (IDLE) activities, and (2) looked at how different IDLE profiles are related to important affective variables. Design/Methodology: To identify IDLE profiles, we used cluster analysis.…
Descriptors: Affective Behavior, Second Language Learning, Second Language Instruction, English (Second Language)
Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Yüksel, H. Gülru; Mercanoglu, H. Güldem; Yilmaz, M. Betül – Computer Assisted Language Learning, 2022
Growing research suggests that digital flashcards may facilitate students' technical vocabulary learning efforts. The primary purpose of this quasi-experimental study was to compare the effect of digital flashcards (DFs) and wordlists on learning technical vocabulary as well as to explore students' perceptions regarding the use of DFs. Using…
Descriptors: Educational Technology, Language Tests, Vocabulary Development, Comparative Analysis
Almusharraf, Norah; Alotaibi, Hind – Educational Measurement: Issues and Practice, 2021
Committing errors is expected in the development of language acquisition and learning; however, there is limited research that contributes to the literature on the effect of gender of English as a foreign language (EFL) writing. This study explored the gender differences in EFL students' writing using two approaches: human evaluation and…
Descriptors: Gender Differences, Second Language Learning, Second Language Instruction, English (Second Language)
Sidou, Lais Feltrin; Borges, Endler Marcel – Journal of Chemical Education, 2020
Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…
Descriptors: Factor Analysis, Chemistry, Science Instruction, Teaching Methods
Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
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
Öztürk, Ergün – International Education Studies, 2018
Many educational institutions use a number of technologies in classrooms to promote the effectiveness of learning activities. In recent years, tablet PCs have become the primary of these technologies. Tablet PCs in particular play an important role in increasing the effectiveness and efficiency of the process of learning and teaching. In order to…
Descriptors: Foreign Countries, Elementary School Teachers, Language Teachers, Computer Attitudes
Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
Sobocan, M.; Klemenc-Ketis, Z. – Journal of Computer Assisted Learning, 2017
An increasing number of virtual patients (VPs) are being used in the classroom, which raises questions about how to implement VPs to improve students' satisfaction and enhance their learning. This study developed and validated a scale that measures acceptability and attitudes of medical students towards the use of the VP education tool in the…
Descriptors: Medical Students, Virtual Classrooms, Patients, Student Attitudes
Konak, Abdullah; Kulturel-Konak, Sadan; Nasereddin, Mahdi; Bartolacci, Michael R. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This paper utilizes the Technology Acceptance Model (TAM) to examine the extent to which acceptance of Remote Virtual Computer Laboratories (RVCLs) is affected by students' technological backgrounds and the role of collaborative work. Background: RVCLs are widely used in information technology and cyber security education to provide…
Descriptors: Technology Integration, Technology Uses in Education, Educational Technology, Computer Attitudes
Bronson Hui; Björn Rudzewitz; Detmar Meurers – Language Learning & Technology, 2023
Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Learning Processes
Davies, Renaud Jonathan – JALT CALL Journal, 2019
In this exploratory study, the author examines both students' and teachers' perceptions of Moxtra, a cross-platform cloud collaboration service, as a blended learning tool in a language course. Participants were 242 first-year students studying General English and 8 teachers at the Bunkyo English Communication Centre (BECC) at Hiroshima Bunkyo…
Descriptors: Teacher Attitudes, Student Attitudes, Universities, Foreign Countries

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