NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 21 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
With the promotion of STEM education and active practice, experiential learning has become a crucial instructional design strategy. Experiential learning emphasizes a student-centered learning model, encouraging students to explore unknown fields through individual and team collaborative efforts. Through practical activities, it promotes active…
Descriptors: STEM Education, Experiential Learning, Student Centered Learning, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Yalun Zhou; Rahul Divekar – TechTrends: Linking Research and Practice to Improve Learning, 2025
The integration of design thinking with extended reality (XR) and artificial intelligence (AI) offers transformative potential for second language (L2) learning by providing immersive, interactive, and personalized experiences. Despite significant advancements in XR and AI technologies, their practical integration within formal language education…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Karen Ferreira-Meyers; Frederico Antunes Carvalho; Sarah Kleinmann; Maria Barron Rodriguez – Perspectives in Education, 2025
Recently, the World Bank (2023-2024) conducted a comprehensive feasibility study to assess the potential of implementing open school models for adolescents aged 12 to 16 from nomadic, refugee and internally displaced populations from countries on the Fragility, Conflict and Violence (FCV) list, with particular focus on the following five countries…
Descriptors: Open Education, Adolescents, Refugees, Violence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence
Lo, Siaw Ling; Tan, Kar Way; Ouh, Eng Lieh – Research and Practice in Technology Enhanced Learning, 2021
Do my students understand? The question that lingers in every instructor's mind after each lesson. With the focus on learner-centered pedagogy, is it feasible to provide timely and relevant guidance to individual learners according to their levels of understanding? One of the options available is to collect reflections from learners after each…
Descriptors: Automation, Artificial Intelligence, Identification, Reflection
Peer reviewed Peer reviewed
Direct linkDirect link
Shaofeng Wang; Huanhuan Wang; Yanshuang Jiang; Ping Li; Wancheng Yang – Interactive Learning Environments, 2023
The new era of technologies represented by artificial intelligence is profoundly reconstructing the field of education. The integration of emerging technologies in intelligent teaching provides new approaches for improving teaching effectiveness and enriching learning experiences. Today, we know little about students' participation in intelligent…
Descriptors: Artificial Intelligence, Student Centered Learning, Student Satisfaction, Student Participation
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Gyeong-Geon; Jang, Wonhyeong; Hong, Hun-Gi – Asia Pacific Education Review, 2021
This study adopted a novel text mining (TM) technique in curriculum studies to analyze the multi-layered South Korean curriculum document (CD) system from 2012 to 2017. A total of 716 CDs from the national, regional, and school levels corresponding to 23.4 million Korean characters were examined through keyword frequency analysis, topic modeling…
Descriptors: Foreign Countries, Administrative Organization, Centralization, Curriculum
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pitso, Teboho – IAFOR Journal of Education, 2023
Institutes of higher education (IHEs) have to consider benefits of remote learning post-pandemic. Retrogression to physical contact is counterproductive. The hasty implementation of remote learning during the pandemic deprived IHEs of opportunities to efficiently enact and theorise about it. Post-pandemic, IHEs have opportunities to theorise about…
Descriptors: COVID-19, Pandemics, Distance Education, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Lahza, Hatim; Khosravi, Hassan; Demartini, Gianluca – Journal of Computer Assisted Learning, 2023
Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.…
Descriptors: Learning Analytics, Learning Strategies, Electronic Learning, Independent Study
Brizard, Jean-Claude – Digital Promise, 2023
Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…
Descriptors: Educational Innovation, Educational Technology, Scaling, Student Centered Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Ouyang, Fan; Wu, Mian; Zheng, Luyi; Zhang, Liyin; Jiao, Pengcheng – International Journal of Educational Technology in Higher Education, 2023
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…
Descriptors: Technology Integration, Artificial Intelligence, Performance, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Jo-Chi Hsiao; Jason S. Chang – Interactive Learning Environments, 2024
During the COVID-19 pandemic, global teachers gained extensive experiences with teaching online courses. To design quality online courses in the post-pandemic era, the impact of the latest technology, such as artificial intelligence (AI), must be considered. Investigating how teachers incorporate AI-powered tools and how students perceive learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Nachamma Sockalingam; Kenneth Lo; Judy Teo; Cheah Chin Wei; Danny Chow Jiun Jiet; Dorien Herremans; Melvin Lee Ming Jun; Oka Kurniawan; Yixiao Wang; Pey Kin Leong – Discover Education, 2025
Singapore University of Technology and Design (SUTD) is embarking on an educational innovation program called SUTD campusX to support its future of education. SUTD campusX aims to innovate new educational models, technology tools, and pedagogies for a new form of learning called "Cyber-Physical Learning", where the concept is that both…
Descriptors: Educational Trends, Educational Innovation, Educational Practices, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Dennis Murphy Odo – Language Learning & Technology, 2025
There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Ruofei Zhang; Di Zou; Gary Cheng – Interactive Learning Environments, 2024
The chatbot has been increasingly applied and investigated in education, along with many review studies from different aspects. However, few reviews have been conducted on chatbot-assisted learning from the pedagogical and implementational aspects, which may provide implications for future application and investigation of educational chatbots. To…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Teaching Methods
Previous Page | Next Page ยป
Pages: 1  |  2