NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 258 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yicheng Sun; Hanbo Yang; Hi Kuen Yu; Richard Suen – Education and Information Technologies, 2025
AI integration in professional coursework has gained attention in higher education, offering potential improvements in learning and performance. However; the usage rate, accuracy, and patterns of AI tools across disciplines remain unclear. The impact of AI on students' learning and long-term outcomes still needs further investigation. This study…
Descriptors: Artificial Intelligence, Computer Uses in Education, Professional Education, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Sharon R. Mittiga; Nerelie C. Freeman; Brett E. Furlonger; Perrin Chan; Erin S. Leif – Journal of Positive Behavior Interventions, 2025
This study evaluated the quality and behavior change techniques (BCTs) included in 11 freely available mobile classroom behavior management applications (mCBM apps). We found that mCBM apps included a limited number of BCTs, with an average of 9 of 21 possible BCTs. Consequence-based BCTs like rewards and feedback were common, while…
Descriptors: Behavior Modification, Student Behavior, Computer Uses in Education, Positive Behavior Supports
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Anett Wolgast; Stefan Bieletzke – European Journal of Psychology and Educational Research, 2025
Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Computer Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Suliman Zakaria Suliman Abdalla; Amal Khalfan Rashid AlSalti – Educational Process: International Journal, 2025
Background/purpose: This study examines the behavioral factors influencing the adoption of AI-powered generative technologies in higher education and their impact on students' cognitive engagement--a crucial element of sustainable, inclusive, and high-quality learning, as envisioned by UNESCO's Sustainable Development Goal 4 (SDG4). The study…
Descriptors: Artificial Intelligence, Cognitive Development, College Students, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Jamie M. Chen; Limin Zhang; Supavich Pengnate; Emily Ma; Xi Yu Leung – Journal of Information Systems Education, 2025
Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…
Descriptors: Artificial Intelligence, Computer Uses in Education, Electronic Learning, Learner Engagement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jing Song; Adrie A. Koehler; Jennifer C. Richardson; Zui Cheng – Online Learning, 2025
This study used an explanatory mixed-method approach to understand Chinese parents' perceived social presence in their children's online learning and the relationship among parents' perceived social presence, perceived learning, and satisfaction with their children's online instructor. In the quantitative phase, 53 Chinese parents of young…
Descriptors: Foreign Countries, Parent Attitudes, Parents, Internet
Peer reviewed Peer reviewed
Direct linkDirect link
Yavuz Dinc; Sarah Malone; Verena Ruf; Steffen Steinert; Stefan Küchemann; Jochen Kuhn – Physical Review Physics Education Research, 2025
Prior research has demonstrated that students' performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students' visual attention to both the verbal item stem and accompanying visual representations, such…
Descriptors: Artificial Intelligence, Computer Uses in Education, Eye Movements, Test Items
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pranjli Khanna; Kaleb Mathieu; Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali – International Educational Data Mining Society, 2025
Recent research on more comprehensive models of student learning in adaptive math learning software used an indicator of student reading ability to predict students' tendencies to engage in behaviors associated with so-called "gaming the system." Using data from Carnegie Learning's MATHia adaptive learning software, we replicate the…
Descriptors: Computer Software, Computer Uses in Education, Reading Difficulties, Reading Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Tuire Oittinen – Classroom Discourse, 2024
This paper investigates the accomplishment of highlighting in multiparty video-mediated learning activities. The focus is on moments of screen sharing and the verbal, embodied, and digital resources participants deploy to draw joint attention to a referent on screen. Drawing on screen recorded data (90 h) from an adult education setting (i.e.…
Descriptors: Video Technology, Adult Education, Learning Activities, Attention
Peer reviewed Peer reviewed
Direct linkDirect link
Shiya Chen; Lu Huang; Rustam Shadiev; Peiying Hu – Education and Information Technologies, 2025
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources, a convenient platform for completing assignments, real-time interactive learning opportunities, and accurate feedback. However, there is a paucity of research exploring the perspectives of elementary…
Descriptors: Elementary School Students, Student Attitudes, Intention, Electronic Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Feliza Marie S. Mercado; Sungwon Shin – Online Learning, 2025
This case study explores the perceived social presence of 15 non-traditional graduate students engaged in a collaborative activity within a practice-oriented online course. Grounded in the Community of Inquiry framework and principles of collaborative learning, the activity was intentionally designed to include instructor facilitation, structured…
Descriptors: Nontraditional Students, Graduate Students, Internet, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Blondeel, Eva; Everaert, Patricia; Opdecam, Evelien – Assessment & Evaluation in Higher Education, 2022
Using additional learning materials positively influences student performance. The literature focuses mainly on learning outcomes, whereas the present study investigates whether two intermediate (take-home) tests are a successful tool to increase student use of online formative assessments (OFAs). This study is a between-subjects quasi-experiment,…
Descriptors: Undergraduate Students, Formative Evaluation, Tests, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Sonsoles López-Pernas; Mohammed Saqr; Aldo Gordillo; Enrique Barra – Interactive Learning Environments, 2023
Learning analytics methods have proven useful in providing insights from the increasingly available digital data about students in a variety of learning environments, including serious games. However, such methods have not been applied to the specific context of educational escape rooms and therefore little is known about students' behavior while…
Descriptors: Learning Analytics, Educational Games, Student Behavior, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng-Hung Wang – Education and Information Technologies, 2025
In the post-COVID-19 era, information education with highly interactive teaching methods has become increasingly common. In particular, the metaverse and virtual reality (VR) technology can be used in novel learning methods to leverage the intuitiveness, immersivity, and interactivity of VR. For example, students could use VR to simulate…
Descriptors: Computer Simulation, Instructional Materials, Natural Sciences, Elementary Secondary Education
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  18