Publication Date
| In 2026 | 8 |
| Since 2025 | 2587 |
| Since 2022 (last 5 years) | 6143 |
| Since 2017 (last 10 years) | 7087 |
| Since 2007 (last 20 years) | 7544 |
Descriptor
Source
Author
| Danielle S. McNamara | 26 |
| Gwo-Jen Hwang | 19 |
| Mihai Dascalu | 17 |
| McNamara, Danielle S. | 14 |
| Hwang, Gwo-Jen | 13 |
| Aleven, Vincent | 12 |
| Jiahong Su | 12 |
| Wanli Xing | 12 |
| Xiaoming Zhai | 12 |
| Chenglu Li | 11 |
| Di Zou | 11 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 246 |
| Teachers | 213 |
| Practitioners | 183 |
| Policymakers | 92 |
| Administrators | 75 |
| Students | 56 |
| Media Staff | 10 |
| Counselors | 5 |
| Parents | 4 |
| Support Staff | 4 |
| Community | 3 |
| More ▼ | |
Location
| China | 393 |
| Turkey | 202 |
| Australia | 134 |
| United States | 124 |
| Taiwan | 120 |
| United Kingdom | 120 |
| India | 110 |
| South Korea | 102 |
| Indonesia | 97 |
| Canada | 95 |
| Germany | 93 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
John Michael D. Aquino; Leah E. Perez – Journal of Learning for Development, 2025
Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…
Descriptors: Teacher Educators, Teacher Attitudes, Artificial Intelligence, Computer Uses in Education
Yerin Seung; James D. Basham; Taehyun Kim; Jennifer Lohoefener – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) can support more personalised learning in K-12 education, reshaping the educational experience for all students. However, little is known about how AI is being designed and implemented to support accessible and equitable learning experiences for all students, including those with disabilities and academic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Student Diversity
Kaveh Jalilzadeh; Ferdi Çelik; Volkan Duran – European Journal of Education, 2025
Research on artificial intelligence (AI) in higher education largely emphasises technical performance and outcomes, leaving student views of teacher interpersonal behaviours in AI-mediated classrooms insufficiently understood. In response, this study applied Q methodology, supported by content and sentiment analyses, to examine student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, College Students
Elisa Martinez Marroquin; Bouchra Senadji – International Journal of Information and Learning Technology, 2025
Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…
Descriptors: Workplace Learning, Artificial Intelligence, Educational Change, Technology Integration
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2025
Background: Large language models (LLMs) are increasingly deployed in educational contexts for content generation (Diwan et al., 2023), assessment (Ouyang et al., 2023), and tutoring support (Lin et al., 2023). Reasoning models represent an important development in LLM development (DeepSeek-AI et al., 2025; OpenAI et al., 2024), distinctively…
Descriptors: Artificial Intelligence, Technology Uses in Education, Racism, Natural Language Processing
Richard Hall – International Journal of Educational Technology in Higher Education, 2024
This article situates the potential for intellectual work to be renewed through an enriched engagement with the relationship between indigenous protocols and artificial intelligence (AI). It situates this through a dialectical storytelling of the contradictions that emerge from the relationships between humans and capitalist technologies, played…
Descriptors: Artificial Intelligence, Social Systems, Protocol Analysis, Technological Advancement
Michelle D. Lazarus; Mandy Truong; Peter Douglas; Neil Selwyn – Anatomical Sciences Education, 2024
Anatomy educators are often at the forefront of adopting innovative and advanced technologies for teaching, such as artificial intelligence (AI). While AI offers potential new opportunities for anatomical education, hard lessons learned from the deployment of AI tools in other domains (e.g., criminal justice, healthcare, and finance) suggest that…
Descriptors: Artificial Intelligence, Anatomy, Barriers, Human Body
Brandon Mattalo – Journal of Legal Studies Education, 2024
While it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
Irene Kahvazadeh; Edwin Jose; Alvis C. Fong; Ajay K. Gupta; Steve M. Carr; Shameek Bhattacharjee; Michael Harnar – Education and Information Technologies, 2024
Information systems are increasingly using artificial intelligence (AI). However, AI can be tricked into misbehaving, showing bias, or committing abuse. The root causes of these errors and uncertainties can be hidden away while parallelizing AI algorithms on high-performance computing (HPC) infrastructure. The project outlined in this paper aims…
Descriptors: Curriculum Development, Experiential Learning, Learning Readiness, Artificial Intelligence
Jordan M. Blanke – Journal of Legal Studies Education, 2024
Generative artificial intelligence (generative AI) applications such as ChatGPT and its brethren erupted onto the scene last year and have been quite a disruptor throughout higher education. Like much new technology, generative AI brings with it benefits and challenges. This note focuses on early experiences with ChatGPT, attempts to learn how to…
Descriptors: Artificial Intelligence, Higher Education, Technology, Evaluation Methods
Hanneke Theelen; Joyce Vreuls; Jim Rutten – International Journal of Technology in Education, 2024
The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial,…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Coding
Orhun Türker; Ayse Derya Kahraman – Turkish Online Journal of Educational Technology - TOJET, 2024
Artificial intelligence is a popular technology that affects many fields today. Its impact is noticeable daily, especially in education, design, and other essential areas. This technology, which stands out with the convenience it creates for users and its help in organizing the workflow, will play a critical role in our lives in the future. This…
Descriptors: Artificial Intelligence, Educational Technology, Educational Innovation, Computer Software
Yufeng Wang; Dehua Ma; Jianhua Ma; Qun Jin – IEEE Transactions on Learning Technologies, 2024
As one of the fundamental tasks in the online learning platform, interactive course recommendation (ICR) aims to maximize the long-term learning efficiency of each student, through actively exploring and exploiting the student's feedbacks, and accordingly conducting personalized course recommendation. Recently, deep reinforcement learning (DRL)…
Descriptors: Electronic Learning, Student Interests, Artificial Intelligence, Intelligent Tutoring Systems
Egle Gedrimiene; Ismail Celik; Antti Kaasila; Kati Mäkitalo; Hanni Muukkonen – Education and Information Technologies, 2024
Artificial intelligence (AI) and learning analytics (LA) tools are increasingly implemented as decision support for learners and professionals. However, their affordances for guidance purposes have yet to be examined. In this paper, we investigated advantages and challenges of AI-enhanced LA tool for supporting career decisions from the user…
Descriptors: Artificial Intelligence, Learning Analytics, Career Choice, Decision Making

Peer reviewed
Direct link
