Publication Date
| In 2026 | 0 |
| Since 2025 | 10 |
| Since 2022 (last 5 years) | 115 |
| Since 2017 (last 10 years) | 309 |
| Since 2007 (last 20 years) | 810 |
Descriptor
| Comparative Analysis | 978 |
| Computer Mediated… | 978 |
| Foreign Countries | 377 |
| Student Attitudes | 261 |
| Teaching Methods | 254 |
| Online Courses | 178 |
| College Students | 176 |
| Educational Technology | 173 |
| Second Language Learning | 173 |
| Distance Education | 160 |
| Instructional Effectiveness | 146 |
| More ▼ | |
Source
Author
| Heiman, Tali | 4 |
| Biemans, Harm J. A. | 3 |
| Chizari, Mohammad | 3 |
| Eden, Sigal | 3 |
| Garrison, D. Randy | 3 |
| Hartshorne, Richard | 3 |
| Hew, Khe Foon | 3 |
| Hou, Huei-Tse | 3 |
| Hwang, Wu-Yuin | 3 |
| Margalit, Malka | 3 |
| Mulder, Martin | 3 |
| More ▼ | |
Publication Type
Education Level
Location
| Taiwan | 31 |
| Australia | 27 |
| China | 27 |
| United Kingdom | 26 |
| Japan | 24 |
| Spain | 22 |
| Turkey | 22 |
| Canada | 19 |
| United States | 19 |
| Israel | 17 |
| South Korea | 17 |
| More ▼ | |
Laws, Policies, & Programs
| American Recovery and… | 1 |
| First Amendment | 1 |
| Fulbright Hays Act | 1 |
| Individuals with Disabilities… | 1 |
| No Child Left Behind Act 2001 | 1 |
| Race to the Top | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
A Study Comparing Text-Based WhatsApp and Face-to-Face Interviews to Understand Early School Dropout
Desai, Rachana; Magan, Ansuyah; Maposa, Innocent; Ruiter, Robert; Rochat, Tamsen; Mercken, Liesbeth – Youth & Society, 2024
The majority of adolescents communicate via text-based messaging, particularly through WhatsApp, a widely used free communication application. Written content on WhatsApp has the methodological potential to provide rich qualitative interview data. This study compares data collected using text-based WhatsApp versus face-to-face interview…
Descriptors: Comparative Analysis, Data Collection, Computer Mediated Communication, Dropouts
Ahrong Beik – Asia Pacific Education Review, 2025
This study aims to compare the influence of learners' self-regulation and sense of presence on online learning. Due to the increasing influence of online learning, self-regulation has received considerable attention. However, it is also claimed that an increased sense of presence can enhance online learning effects. For comparison, a meta-analysis…
Descriptors: Metacognition, Online Courses, Learning Strategies, Comparative Analysis
Olena Bolgova; Paul Ganguly; Volodymyr Mavrych – Anatomical Sciences Education, 2025
Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…
Descriptors: Comparative Analysis, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Serpil Yorganci – Educational Technology Research and Development, 2025
Flipped learning has been recognized as a promising pedagogical model for methodological progress in educational environments. Studies have shown the effectiveness of flipped learning when used with appropriate educational technologies and learning strategies. On the other hand, comprehensive guidance is required to combine this pedagogical model…
Descriptors: Flipped Classroom, Teaching Methods, Comparative Analysis, Metacognition
Sha, Lele; Rakovic, Mladen; Lin, Jionghao; Guan, Quanlong; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2023
In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…
Descriptors: Computer Mediated Communication, Discussion Groups, Artificial Intelligence, Intelligent Tutoring Systems
Hege Sjolie; Cecilie Fromholt Olsen; Marte Fjelnseth Hempel – Youth & Society, 2024
Social media (SoMe) is an important part of how young people socialize and communicate with each other and there are concerns that this may negatively impact peer relationships. The aim of this article was to explore how high school students experience the impact of SoMe on their peer relationships and the quality of these relationships. We…
Descriptors: Social Media, Peer Relationship, Group Membership, Foreign Countries
Xuyan Qiu; Gavin Bui – Language Teaching Research, 2025
This study investigates the effects of pre-task planning on English as a second language (ESL) learners' engagement in oral tasks in the face-to-face real-time communication (FTF) and synchronous video-based computer-mediated communication (SvCMC) modes. A total of 36 ESL learners performed two decision-making tasks (with versus without pre-task…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
Neff, Andrew S.; Mischel, Jenny; Yang, Evan – Teaching of Psychology, 2023
Background: Instructors often try to promote student engagement with discussion boards in learning management systems (LMS) like Canvas. Although convenient, alternatives like the social media platform Reddit may be more effective. Method: A non-randomized controlled trial compared the use of Canvas and Reddit in two sections of two undergraduate…
Descriptors: Comparative Analysis, Undergraduate Students, Student Participation, Computer Mediated Communication
Jianhui Yu – International Review of Research in Open and Distributed Learning, 2025
Sentiments expressed on massive open online course (MOOC) discussion forums significantly influence learning effectiveness and academic performance. The evolution of learning sentiments on MOOC discussion forums is a dynamic process; however, a gap exists in the current understanding of the interplay between evolving sentiments and their impact on…
Descriptors: MOOCs, Student Attitudes, Group Discussion, Computer Mediated Communication
Dennis Laffey – English Teaching, 2025
The present study presents an experiment in which online acronyms, formed from common fixed phrases or formulaic expressions, and in common usage in English medium computer-based communication, were presented to Korean university-level learners placed into either a control group or treatment group which was given instruction into the expansions…
Descriptors: Teaching Methods, English (Second Language), Second Language Learning, Language of Instruction
Laura Vilela e Souza; Letícia Trombini Vidotto; Miguel M. Gonçalves; João Tiago Oliveira – British Journal of Guidance & Counselling, 2025
Background: Different responses have been developed to address the high demand for mental health care, one of which is the implementation of single-session therapy interventions. This intervention has several potential advantages, such as accessibility and cost-effectiveness. Objectives: This study aimed to explore the efficacy of a specific type…
Descriptors: Intervention, Computer Mediated Communication, Therapy, Counselor Client Relationship
Hoang, Loc Phuoc; Le, Hieu Thanh; Van Tran, Hung; Phan, Thanh Chi; Vo, Duc Minh; Le, Phuong Anh; Nguyen, Dung The; Pong-inwong, Chakrit – Education and Information Technologies, 2022
Peer assessment has an important role in teaching and learning nowadays. However, the existing techniques tend to be limited due to a lack of a suitable means to evaluate the accuracy of peer assessment activities and supervise peer assessment performances in an online environment. Hence, it is very necessary to develop new solutions encourage…
Descriptors: Peer Evaluation, Teaching Methods, Learning Processes, Accuracy
Maya Usher – Assessment & Evaluation in Higher Education, 2025
The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Peer Evaluation
Wei Xu; Le-Ying Yang; Xiao Liu; Pin-Nv Jin – Education and Information Technologies, 2024
Teacher feedback is the key to online collaborative discussion. To investigate the effects of different forms of teacher feedback intervention on learners' cognitive and emotional interactions in online collaborative discussion, this study collected collaborative discussion text data of online collaborative learners. Based on the framework of…
Descriptors: Feedback (Response), Teacher Student Relationship, Communities of Practice, Cooperative Learning
Vicente J. Llorent; Carolina Seade-Mejía; Ximena Vélez-Calvo; Elena Nasaescu – Journal of School Health, 2024
BACKGROUND: The COVID-19 pandemic triggered a worldwide socio-sanitary crisis, continuing to impact societies worldwide. With many school systems shifted to online education, the current study presents a unique opportunity to investigate relevant phenomena related to serious health issues during the schooling and later in life, cyberbullying and…
Descriptors: Computer Mediated Communication, Bullying, Comparative Analysis, Pandemics

Peer reviewed
Direct link
