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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
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
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
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
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
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
Lingfei Luan; Xi Lin; Yan Dai; Shu Hu; Qianlu Sun – Asian Journal of Distance Education, 2024
The emergence of ChatGPT, an AI system designed for conversation by OpenAI, has prompted conversations about its transformative possibilities in multiple fields, primarily in education. This study conducts an in-depth investigation into the emotional and cognitive factors contributing to the popularity of ChatGPT and its influence on the shift…
Descriptors: COVID-19, Pandemics, Artificial Intelligence, Computer Software
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
Philippe Meister – ProQuest LLC, 2022
Objective. The objective of this work was to apply the capabilities of augmented reality (AR) to improve how general aviation student pilots learn about weather and learn to make weather-related decisions. Background. A pilot's level of weather experience is a strong indicator of their ability to make safe weather-related decisions. However, the…
Descriptors: Computer Simulation, Aviation Education, Aviation Technology, Weather
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)
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
XiaoShu Xu; Xibing Wang; Yunfeng Zhang; Wenjuan Ma – International Society for Technology, Education, and Science, 2023
The integration of ChatGPT in Personal Learning Environments (PLEs) has emerged as a promising approach to personalized learning in tertiary education. ChatGPT is believed to have the potential to transform traditional higher education into a more personalized, quality-driven, and student-centered learning experience that fosters critical…
Descriptors: Artificial Intelligence, Computer Software, Risk, Educational Benefits
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