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Wenfeng Si; Guangwei Hu; Juan Long – Interactive Learning Environments, 2024
Due to the digital revolution, online education based on the B2B2C (Business to Business to Consumer) model is growing Understanding students' expectations, concerns, and experiences of these courses are crucial to the successful of education. Based on the research framework of value co-creation and value co-destruction and the theory of social…
Descriptors: Electronic Learning, Consumer Economics, Content Analysis, Student Attitudes
Duong Minh Tuan; Le Thi Diem Lan – Turkish Online Journal of Distance Education, 2025
The proliferation of communication technologies in recent years has significantly contributed to the swift transformation of education. The outbreak of the COVID-19 pandemic at the beginning of 2020 caused further drastic changes in education, making digital transformation one of its most apparent attributes. This evolution has necessitated a call…
Descriptors: Interaction, Student Satisfaction, Student Attitudes, Electronic Learning
Matilda Ståhl; Katri Hansell; Sandra Bäck; Mattias Wingren – International Journal of Game-Based Learning, 2025
Playing video games engages children and youth and offers a potential for learning in general and situated language learning in particular. The aim of this paper is to explore the situated conditions and affordances for facilitating in-game interaction, as well as to discuss the language learning potential and educational implications of these…
Descriptors: Video Games, Cooperative Learning, Interaction, Children
Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
Essel, Harry Barton; Vlachopoulos, Dimitrios; Tachie-Menson, Akosua; Johnson, Esi Eduafua; Baah, Papa Kwame – International Journal of Educational Technology in Higher Education, 2022
Chatbot usage is evolving rapidly in various fields, including higher education. The present study's purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student's question. A pretest-posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Teaching Assistants, Undergraduate Students
Prapasiri Klayklung; Piyawatjana Chocksathaporn; Pongsakorn Limna; Tanpat Kraiwanit; Kris Jangjarat – Online Submission, 2023
The development of conversational artificial intelligence (AI) has brought about new opportunities for improving the learning experience in education. ChatGPT, a large language model trained on a vast corpus of text, has the potential to revolutionize education by enhancing learning through personalized and interactive conversations. This paper…
Descriptors: Artificial Intelligence, Interaction, Foreign Countries, Technology Integration
Dyrvold, Anneli – Journal of Computers in Mathematics and Science Teaching, 2022
Digital media offer new opportunities to visualise mathematics and to engage students in interactive activities. The launching of digital teaching platforms in mathematics has, however, been met with some hesitation, and printed textbooks still play a substantial role in classrooms. This study addresses questions about how affordances of the…
Descriptors: Teaching Methods, Learning Management Systems, Learner Engagement, Textbooks
Lin, Cheng-Ta – Turkish Online Journal of Educational Technology - TOJET, 2023
A purposive sampling was conducted with 109 students from Anding elementary school, Taiwan. First, we found perceived ease of learning, enjoyment, self-efficacy, social interaction and learning attitude have significant differences between integrated teaching approach and Spoon-feeding instruction in this study. Second, the research framework has…
Descriptors: Computer Assisted Instruction, Elementary School Students, Difficulty Level, Student Attitudes
Cruz, Jehan – International Journal on Social and Education Sciences, 2023
Computer-mediated form of language learning provides the opportunity to engage in meaningful and authentic interaction in the target language. Through interaction and collaboration, learners are said to develop a sense of autonomy (Little, 2001). Studies from the literature show that Japanese learners do not lack the capacity for self-directed…
Descriptors: Second Language Learning, Computer Assisted Instruction, Interaction, English (Second Language)
Daniel, Stephanie Larry – Online Submission, 2022
The widespread use of technology has accelerated many changes in the education sector including higher education. The Internet has made online learning feasible, and many researchers and educators are interested and took part in online learning to enhance and improve student language learning involvement while combating the reduction in resources.…
Descriptors: Foreign Countries, College Students, Private Colleges, Online Courses
David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
Wu Xiaofan; Nagaletchimee Annamalai – Contemporary Educational Technology, 2025
This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner's (1979) ecological systems…
Descriptors: Technology Uses in Education, Artificial Intelligence, Educational Technology, Second Language Learning
Spencer-Smith, Garth; Hardman, Joanne – Computers in the Schools, 2022
This study, conducted in one high-achieving secondary school in a disadvantaged area in the Western Cape province of South Africa, asks whether mathematics teachers alter their "talk" across the face-to-face and computer-based lessons. Data were gathered through video recordings of teacher/student interactions across ten face-to-face and…
Descriptors: Foreign Countries, High Achievement, Secondary Schools, Disadvantaged Schools
Kärnä, Eija; Dindar, Katja; Hu, Xiaoyi – Interactive Learning Environments, 2020
Technology-enhanced environments are increasingly used to enhance the interaction skills of children with autism spectrum disorder (ASD), yet little is known about how technology use influences interactions between educators and children. This article examined how educators engage with children with ASD in a technology-enhanced learning…
Descriptors: Foreign Countries, Technology Uses in Education, Autism, Pervasive Developmental Disorders
Holdstock, Samuel – Changing English: Studies in Culture and Education, 2021
The literacy practices enacted in secondary school English classrooms can be influenced by the pressures acting upon teachers and students. Attention can be diverted away from the process of meaning-making when more emphasis is placed upon performance outcomes than on reading processes. This paper argues that digital forms of Interactive Fiction…
Descriptors: Dialogs (Language), Fiction, Teaching Methods, Scaffolding (Teaching Technique)