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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
Melissa Fortner; Iva Katzarska-Miller – Teaching of Psychology, 2025
Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…
Descriptors: Artificial Intelligence, Majors (Students), Computer Software, Student Centered Learning
Hanwen Li – ProQuest LLC, 2024
The advancements in generative AI technologies have provided various opportunities to enhance human resource development (HRD) activities. Scholars have discussed the benefits of using AI chatbots, a popular AI application, in training activities. Yet, the current literature still lacks a comprehensive understanding of how AI chatbots can be used…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Centered Learning
Mahmoud Mohammad Sayed Abdallah – Online Submission, 2025
This article introduces my C.H.A.T.S. model (Conversational, Holistic, Authentic, Transformative, Situated), a novel pedagogical framework I designed to revolutionize language learning and teaching through the strategic integration of Artificial Intelligence (AI) and conversational chatbots with established learning theories. The model addresses…
Descriptors: Models, Artificial Intelligence, Second Language Learning, Learning Theories
Tony Frontier – ASCD, 2025
Make sure your tech initiatives put students first with this robust guide for teachers and school leaders. With new artificial intelligence tools sweeping into districts and schools, educators must be able to assess the tools' benefits and limitations and determine if and how they might serve students. Teaching and leadership expert Tony Frontier…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Student Centered Learning
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
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
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
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
Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
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
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
Mary Curnock Cook, Editor – Higher Education Policy Institute, 2024
Technology is undoubtedly a foundational asset for higher education providers, but for many leaders in the sector it remains something of a black box. This collection of essays brings together leading EdTech voices to explain how technology is already improving higher education and how much more it could potentially do to transform the student…
Descriptors: Higher Education, Technology Uses in Education, Educational Technology, Technology Integration
Siu-Cheung Kong; Yin Yang – IEEE Transactions on Learning Technologies, 2024
The advent of generative artificial intelligence (AI) has ignited an increase in discussions about generative AI tools in education. In this study, a human-centered learning and teaching framework that uses generative AI tools for self-regulated learning development through domain knowledge learning was proposed to catalyze changes in educational…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Elementary Secondary Education