Publication Date
In 2025 | 4 |
Since 2024 | 15 |
Since 2021 (last 5 years) | 38 |
Since 2016 (last 10 years) | 68 |
Since 2006 (last 20 years) | 242 |
Descriptor
College Students | 255 |
Computer Assisted Instruction | 255 |
Electronic Learning | 255 |
Foreign Countries | 155 |
Educational Technology | 139 |
Student Attitudes | 96 |
Instructional Effectiveness | 89 |
Instructional Design | 77 |
Distance Education | 75 |
Internet | 73 |
College Instruction | 69 |
More ▼ |
Source
Author
Yang, Yu-Fen | 3 |
Al-Fadhli, Salah | 2 |
Hung, Ya-Chen | 2 |
Hwang, Gwo-Haur | 2 |
Krause, Ulrike-Marie | 2 |
Richardson, John T. E. | 2 |
Rohleder, P. | 2 |
Stark, Robin | 2 |
Tsai, Chin-Chung | 2 |
Zhu, Chang | 2 |
Abdous, M'hammed | 1 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 3 |
Location
Taiwan | 21 |
United Kingdom | 14 |
Australia | 10 |
Turkey | 9 |
Hong Kong | 8 |
China | 7 |
Japan | 7 |
Germany | 6 |
Malaysia | 5 |
New Zealand | 5 |
Saudi Arabia | 5 |
More ▼ |
Laws, Policies, & Programs
Americans with Disabilities… | 1 |
Equal Access | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
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
Patrick Bowers; Kelley Graydon; Tracii Ryan; Jey Han Lau; Dani Tomlin – Australasian Journal of Educational Technology, 2024
This study presents a scoping review of research on artificial intelligence (AI)- driven virtual patients (VPs) for communication skills training of healthcare students. We aimed to establish what is known about these emergent learning tools, to characterise their design and implementation into training programmes. The preferred reporting items…
Descriptors: Allied Health Occupations Education, Artificial Intelligence, Computer Simulation, College Students
Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
Colliot, Tiphaine; Kiewra, Kenneth A.; Luo, Linlin; Flanigan, Abraham E.; Lu, Junrong; Kennedy, Carrie; Black, Sheldon – Education and Information Technologies, 2022
The purpose of this study was to determine how graphic organizer completeness (complete, partial, or no organizer) and note-taking medium (longhand or computer) affect note-taking quantity and quality and affect computer-based learning. College students were presented with a computer-based PowerPoint lesson accompanied by complete, partial, or no…
Descriptors: Instructional Materials, Notetaking, Computer Assisted Instruction, Electronic Learning
Jacob C. Crislip; Esai Lopez; Cameron D. Armstrong; Taylor Petell; Laila Abu-Lail; Andrew R. Teixeira – Advances in Engineering Education, 2023
A chemical engineering student's knowledge of theory, experimental design, and real-world processes is tested and enforced in the Unit Operations laboratory courses. However, instructors are facing challenges of delivering high-quality, hands-on laboratory content with limited resources and increasingly large class sizes. Limited in-lab time is…
Descriptors: College Students, Chemical Engineering, Science Laboratories, Computer Simulation
Shin, Hye Won; Sok, Sarah – ReCALL, 2023
The current study is an approximate replication of Gray and DiLoreto's (2016) study, which proposed a model predicting that course structure, learner interaction and instructor presence would influence students' perceived learning and satisfaction in online learning, with student engagement acting as a mediator between two of the predictors and…
Descriptors: College Students, Second Language Learning, Computer Assisted Instruction, Electronic Learning
Analysis and Prediction of Students' Performance in a Computer-Based Course through Real-Time Events
Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
Norfarizah Mohd Bakhir; SiBo Zhou; Shu Chen; Zhou Tianlong – Journal of Educational Computing Research, 2025
This study investigates the effectiveness of digital games in arts education for learning art knowledge and enhancing art interest. Art knowledge includes the topics of art history, production, esthetics, and art criticism. A quasi-experimental approach was used in this study. A 1-month course on arts education digital games was conducted with 40…
Descriptors: College Students, Art Education, Art Appreciation, Art Criticism
Muhammad Ayub Buzdar; Hamid Ikram – Online Learning, 2024
The effects of COVID-19 remained significant on university students' social and academic well-being. The pandemic raised various mental and psychological challenges for the students, and had the potential to deteriorate their academic engagement and performance in online learning environments. The emotion regulation theory hypothesizes that…
Descriptors: COVID-19, Pandemics, Stress Variables, Cognitive Processes
Alaa Alnajashi – Journal of Education and Learning, 2024
The current demand for integrating technology into English language instruction to engage students in meaningful conversations is pressing in the digital era. Despite this, research on employing Google tools for collaborative, task-based activities in English education is scarce, particularly in meeting the needs of today's digital learners and…
Descriptors: Foreign Countries, College Students, English Instruction, Student Motivation
Xiting Yang – Interactive Learning Environments, 2024
Nowadays, modern technologies provide a variety of opportunities in many fields, including education. In this context, it is crucial to comprehend the possibility of developing new ways of teaching electroacoustic music using such technology tools. For this purpose, the researchers of the present study elaborated and implemented a study program…
Descriptors: Music Education, Higher Education, Teaching Methods, Electronic Learning
Hal Hinderliter – ProQuest LLC, 2021
The Cognitive Theory of Multimedia Learning has enjoyed a prominent role in guiding the development of online instruction, but recent research has proposed boundary conditions for some of its key principles. Moreno and Mayer advanced the possibility of a reverse redundancy effect when narration and fully redundant on-screen text are presented in a…
Descriptors: Electronic Learning, Multimedia Instruction, Time Factors (Learning), Nonverbal Communication
Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
Ardimen Ardimen; Gustina Gustina; Sasmi Nelwati; Adripen Adripen; Zainal Asril; Romi Fajar Tanjung – Journal of Education and e-Learning Research, 2023
This study aims to explore students' perceptions and experiences of online learning and their implications for identifying student needs for guidance and counseling in tertiary institutions. This research uses quantitative methods. Purposive sampling technique was chosen to determine the sample. A sample of 1158 students participated in online…
Descriptors: Electronic Learning, Foreign Countries, Universities, Student Attitudes