Publication Date
| In 2025 | 723 |
| Since 2024 | 2728 |
| Since 2021 (last 5 years) | 4528 |
| Since 2016 (last 10 years) | 5177 |
| Since 2006 (last 20 years) | 5565 |
Descriptor
Source
Author
| Danielle S. McNamara | 20 |
| McNamara, Danielle S. | 14 |
| Mihai Dascalu | 14 |
| Hwang, Gwo-Jen | 13 |
| Aleven, Vincent | 12 |
| Jiahong Su | 12 |
| Koedinger, Kenneth R. | 11 |
| McLaren, Bruce M. | 11 |
| Chi, Min | 10 |
| Gwo-Jen Hwang | 10 |
| Zou, Di | 10 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 200 |
| Practitioners | 152 |
| Teachers | 144 |
| Policymakers | 58 |
| Administrators | 51 |
| Students | 37 |
| Media Staff | 10 |
| Community | 3 |
| Counselors | 3 |
| Parents | 3 |
| Support Staff | 2 |
| More ▼ | |
Location
| China | 247 |
| Turkey | 132 |
| Australia | 98 |
| Taiwan | 95 |
| United Kingdom | 84 |
| United States | 80 |
| India | 79 |
| South Korea | 70 |
| Canada | 63 |
| Germany | 59 |
| Indonesia | 57 |
| More ▼ | |
Laws, Policies, & Programs
| United Nations Convention on… | 2 |
| Civil Rights Act 1964 Title VI | 1 |
| Higher Education Act Title IX | 1 |
| Lau v Nichols | 1 |
| No Child Left Behind Act 2001 | 1 |
| Privacy Act 1974 | 1 |
| Universal Declaration of… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
Peer reviewed
Download full textNorizan Mat Diah; Syahirul Riza; Suzana Ahmad; Norzilah Musa; Shakirah Hashim – Journal of Education and Learning (EduLearn), 2025
Sudoku is a puzzle that has a unique solution. No matter how many methods are used, the result will always be the same. The player thought that the number of givens or clues, the initial value on the Sudoku puzzles, would significantly determine the difficulty level, which is not necessarily correct. This research uses two search algorithms,…
Descriptors: Puzzles, Artificial Intelligence, Problem Solving, Algorithms
Direct linkMargaret Blackie; Kathy Luckett – Science & Education, 2025
In this paper, we begin a conversation with educators invested in developing epistemic insight. We argue that generative artificial intelligence provides an opportunity to make a necessary corrective to our understanding of knowledge and knowledge building. The use of the metaphors of such as 'human-as-machine' has inadvertently promoted a…
Descriptors: Artificial Intelligence, Epistemology, Cognitive Processes, Learning
Karen L. Webber; Henry Y. Zheng – New Directions for Higher Education, 2024
Recently, the rise of generative AI tools such as "ChatGPT" have prompted deep and wide considerations about teaching and learning, student success, research and development, and the use of data for informed institutional decision making. In this volume, authors discuss specific concepts, considerations for use, and some specific tools…
Descriptors: Artificial Intelligence, Data Analysis, Higher Education
Tianjiao Zhao; Jiayi Jia; Tianfei Zhu; Junyu Yang – International Journal of Technology and Design Education, 2024
Designers are always pursuing design with suitable emotions. Effective emotional fusion not only produces a good user experience but also extends the product lifecycle. The decoding of design emotion and the use of design emotion language should run through the entire design process. In this study, we propose a new emotion-embedded design flow…
Descriptors: Psychological Patterns, Design, Artificial Intelligence, Databases
Robson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
Na Zhang; Jinghan Xu; Xifeng Zhang; Yifang Wang – Education and Information Technologies, 2024
The presence of social robots in children's daily environments has steadily increased. With the advancement of artificial intelligence (AI), social robots have influenced children's learning and development. This study innovatively utilized the Web of Science database and conducted a bibliometric analysis of 517 publications on social robots…
Descriptors: Robotics, Interaction, Artificial Intelligence, Bibliometrics
Erik M. Francis – Solution Tree, 2024
Quality questions, directed inquiry, and authentic literacy are important tools that enhance students' comprehension, knowledge, and application of what is taught. Learn how to phrase and pose good questions that will ignite inquiring minds and enrich student learning during classroom instruction. Author Erik M. Francis shares a framework for…
Descriptors: Questioning Techniques, Inquiry, Elementary Secondary Education, Artificial Intelligence
Computational Learning Theory through a New Lens: Scalability, Uncertainty, Practicality, and beyond
Chen Wang – ProQuest LLC, 2024
Computational learning theory studies the design and analysis of learning algorithms, and it is integral to the foundation of machine learning. In the modern era, classical computational learning theory is growingly unable to catch up with new practical demands. In particular, problems arise in the following aspects: i). "scalability":…
Descriptors: Computation, Learning Theories, Algorithms, Artificial Intelligence
Manuel Oliveira; Justus Brands; Judith Mashudi; Baptist Liefooghe; Ruud Hortensius – Cognitive Research: Principles and Implications, 2024
This paper examines how humans judge the capabilities of artificial intelligence (AI) to evaluate human attributes, specifically focusing on two key dimensions of human social evaluation: morality and competence. Furthermore, it investigates the impact of exposure to advanced Large Language Models on these perceptions. In three studies (combined N…
Descriptors: Artificial Intelligence, Moral Values, Competence, Behavior
Ronak R. Mohanty; Peter Selly; Lindsey Brenner; Shantanu Vyas; Cassidy R. Nelson; Jason B. Moats; Joseph L. Gabbard; Ranjana K. Mehta – IEEE Transactions on Learning Technologies, 2025
Immersive extended reality (XR) technologies, including augmented reality (AR), virtual reality, and mixed reality, are transforming the landscape of education and training through experiences that promote skill acquisition and enhance memory retention. These technologies have notably improved decision making and situational awareness in public…
Descriptors: Technology Integration, Artificial Intelligence, Safety Education, Instructional Design
Devkan Kaleci – Journal of Educational Technology and Online Learning, 2025
The integration of artificial intelligence (AI) technologies into Learning Management Systems (LMS) represents a transformative advancement in contemporary education, enhancing personalization, efficiency, and interactivity. This study presents a systematic methodology for integrating AI technologies into the Moodle LMS. Moodle 4.5 was selected as…
Descriptors: Artificial Intelligence, Learning Management Systems, Educational Technology, Technology Integration
Chang, Shun-Chuan; Chang, Keng Lun – Educational Measurement: Issues and Practice, 2023
Machine learning has evolved and expanded as an interdisciplinary research method for educational sciences. However, cheating detection of test collusion among multiple examinees or sets of examinees with unusual answer patterns using machine learning techniques has remained relatively unexplored. This study investigates collusion on…
Descriptors: Cheating, Identification, Artificial Intelligence, Cooperation
Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Education and Information Technologies, 2024
The rise of massive open online courses (MOOCs) brings rich opportunities for understanding learners' experiences based on analyzing learner-generated content such as course reviews. Traditionally, the unstructured textual data is analyzed qualitatively via manual coding, thus failing to offer a timely understanding of the learner's experiences.…
Descriptors: Artificial Intelligence, Semantics, Course Evaluation, MOOCs
Reginald Lucien; Sanghoon Park – TechTrends: Linking Research and Practice to Improve Learning, 2024
The purpose of this study was to share the design and development case of Advising Virtual Assistant (AVA), a chatbot created to provide support in academic advising in higher education. By analyzing participants' usage data and chatbot performance, we attempted to understand how students engage with AVA to fulfill their advising needs. AVA…
Descriptors: Artificial Intelligence, Academic Advising, College Students, Program Effectiveness
