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Yohan Hwang; Je-Young Lee – SAGE Open, 2024
This study aims to analyze the experiences of creating the metaverse classroom on pre-service EFL (English as a Foreign Language) teachers' technological acceptance and affordance, as well as their perception of its potential for language learning and teaching. To achieve this purpose, this study utilized an in-depth analysis of survey and…
Descriptors: Preservice Teachers, Language Teachers, Second Language Instruction, English (Second Language)
Abass B. Isiaka; Yusuf D. Olaniyan – Journal of Comparative and International Higher Education, 2024
In this paper, we investigate the impact of virtual mentors (VM) on the decision-making process and cultural awareness of prospective international students. Through a theoretical dialogue between Bourdieu's cultural intermediation and Barad's new materialism, we seek to understand the translative function of virtual mentors from the Global South…
Descriptors: Mentors, Decision Making Skills, Cultural Awareness, Foreign Students
Siwaporn Linthaluek; Rattanaporn Chanthra; Naphatsanan Suwannawong; Natt Siriwattananon; Bunthida Chunngam; Phuchit Satitpong – International Education Studies, 2024
This research aimed to explore the readiness, expertise, and multimedia needs in education. An online questionnaire was used to collect data. A total of 124 students from the Faculty of Industrial Education responded to the survey. The data showed that most students have notebooks and smart phones as important tools for creating multimedia. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Undergraduate Students, Industrial Education
Quantifying the Impact of ASR-Based Instruction: What Does the "iSpraak" Platform Learner Data Show?
Dan Nickolai – The EUROCALL Review, 2024
Computer-assisted Pronunciation Training (CAPT) tools have become increasingly dependent on Automatic Speech Recognition (ASR) technology to provide automated corrective pronunciation feedback to learners. The extent to which ASR-based tools measurably improve second language (L2) pronunciation is of great interest to language educators globally,…
Descriptors: Computer Assisted Instruction, Pronunciation, Technology Uses in Education, Second Language Learning
Galit Wellner; Ilya Levin – Learning, Media and Technology, 2024
The paper proposes a framework for thinking about digital technologies, including AI, in education. The framework combines Don Ihde's postphenomenology and Seymour Papert's constructionism. The former is rooted in the philosophy of technology, the latter -- in education and technology. The intersections between the two theories have been mentioned…
Descriptors: Philosophy, Children, Phenomenology, Constructivism (Learning)
Sheng-Shiang Tseng; Erkan Er – Educational Technology & Society, 2024
The absence of instructional support during peer feedback prevents students from engaging with peer feedback. This study adopted regulated dialogic feedback as the instructional foundation and investigated its impact on students' engagement using an experimental research design. Students in the experimental group (n = 26) performed the feedback…
Descriptors: Feedback (Response), Peer Evaluation, Learner Engagement, Dialogs (Language)
Zhi Liu; Huimin Duan; Shiqi Liu; Rui Mu; Sannyuya Liu; Zongkai Yang – Educational Technology & Society, 2024
Conversational agents (CAs) primarily adopt knowledge scaffolding (KS) or emotional scaffolding (ES) to intervene in learners' knowledge gain and emotional experience in online learning. However, the ill-defined design for KS and ES, as well as insufficient understanding of their interactive effects on learning outcomes, have hindered the…
Descriptors: Electronic Learning, Achievement Gains, Knowledge Level, Emotional Experience
Igor Kotlyar; Noel J. Pearse; Joe Krasman – Discover Education, 2024
AI-based simulations for educational and assessment purposes are gaining global recognition. Informed by cultural comparison research, this study investigates cross-country variations in users' utilization and perceptions of a simulation-based assessment. Specifically, we conducted a comparative analysis between a sample of South African and…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Computer Simulation
Roberto C. Trejo – ProQuest LLC, 2024
GeoGebra, a dynamic mathematics software, was used to study high school students' perceptions and achievements in learning trigonometric ratios. The study addresses a critical gap in the literature concerning the use of GeoGebra for understanding trigonometric concepts, particularly in fostering conceptual clarity and problem-solving skills.…
Descriptors: High School Students, Student Attitudes, Mathematics Education, Trigonometry
Rosliza Abdul Hamid; Irwan Mahazir Ismail; Wan Ahmad Jaafar Wan Yahaya – Interactive Learning Environments, 2024
Augmented reality (AR) is a new emerging technology that can improve the learning experience while making learning interesting and keeping students' attention. Schools and higher education have already implemented AR in the teaching and learning process to convey information more effectively. However, there is a lack of information about AR for…
Descriptors: Computer Simulation, Educational Technology, Skill Development, Vocational Education
Wesley O'Brien; Sarahjane Belton; Ben Fitzpatrick; Stephen Shannon; Deirdre Brennan; Fiona Chambers; Karol O'Donovan; Gavin Breslin – Child Care in Practice, 2024
Research has shown that childhood physical activity participation has a positive relationship with markers of wellbeing, such as self-esteem and quality of life, and physical activity participation may serve as protective mechanism against some mental illnesses including depression. The aim of the current study was to examine the relationship…
Descriptors: Gender Differences, Physical Activity Level, Computer Use, Body Composition
Claudio Alvarez; Maira Marques Samary; Alyssa Friend Wise – Journal of Computing in Higher Education, 2024
Computer programming is a skill of increasing importance in scientific and technological fields. However, in introductory computer science (CS1) courses in higher education, approximately one in every three students fails. A common reason is that students are overwhelmed by an accelerated and inflexible pace of learning that jeopardizes success.…
Descriptors: Mastery Learning, Computer Science Education, Programming, Action Research
Mason A. Wirtz; Simone E. Pfenninger – Applied Linguistics, 2024
This cross-sectional study addresses for the first time the non/linear association between individual learner differences of social, proficiency-related, and socioaffective nature (length of residence [LoR], varietal proficiency, exposure, and socioaffect) and differential outcomes in L2 sociolinguistic repertoires against the backdrop of the…
Descriptors: Individual Differences, Predictor Variables, Second Language Learning, Sociolinguistics
Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)

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