Publication Date
In 2025 | 37 |
Since 2024 | 77 |
Since 2021 (last 5 years) | 103 |
Since 2016 (last 10 years) | 112 |
Since 2006 (last 20 years) | 115 |
Descriptor
Artificial Intelligence | 116 |
Learning Experience | 116 |
Technology Uses in Education | 54 |
Teaching Methods | 42 |
Foreign Countries | 39 |
Computer Software | 36 |
Student Attitudes | 33 |
Technology Integration | 29 |
Learner Engagement | 22 |
Second Language Learning | 19 |
Learning Processes | 18 |
More ▼ |
Source
Author
Adams Becker, S. | 2 |
Cummins, M. | 2 |
Davy Tsz Kit Ng | 2 |
Freeman, A. | 2 |
A. Y. M. Atiquil Islam | 1 |
Abdullah Ibrahim Alsubhi | 1 |
Adam Carreon | 1 |
Adil Jeghal | 1 |
Agbo, Friday Joseph | 1 |
Ahmed Abdiaziz Alasow | 1 |
Ahmed Farouk Kineber | 1 |
More ▼ |
Publication Type
Education Level
Audience
Administrators | 2 |
Researchers | 2 |
Teachers | 2 |
Policymakers | 1 |
Location
China | 6 |
Hong Kong | 4 |
Saudi Arabia | 3 |
Sweden | 3 |
Turkey | 3 |
United States | 3 |
Asia | 2 |
Australia | 2 |
Canada | 2 |
Germany | 2 |
Greece | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kashif Ahmad; Waleed Iqbal; Ammar El-Hassan; Junaid Qadir; Driss Benhaddou; Moussa Ayyash; Ala Al-Fuqaha – IEEE Transactions on Learning Technologies, 2024
As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it through a myriad of applications. In order to provide a detailed overview of the efforts, this article pays particular attention…
Descriptors: Artificial Intelligence, Education, Technology, Learning Experience
Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
Christian Coenen; Mirjam Pfenninger – New Directions for Teaching and Learning, 2025
This article examines the transformative impact of generative artificial intelligence (GenAI) in enhancing feedback quality in a Bachelor of Science course. It the challenges of providing personalized, timely feedback to students in larger educational settings, focusing on the use of GenAI to analyze and respond to student logbooks. These logbooks…
Descriptors: Learning Experience, Student Evaluation, Artificial Intelligence, Feedback (Response)
Chang Cai; Gaoxia Zhu; Min Ma – Education and Information Technologies, 2025
Interdisciplinary learning requires students to integrate knowledge and methods from different disciplines, prompting advanced skills development and knowledge construction by connecting diverse subjects. Artificial Intelligence (AI), with its rich information base and abilities to track learning and provide personalized support, has the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Interdisciplinary Approach, Influence of Technology
Luke K. Fryer – Frontline Learning Research, 2025
GenAI (Generative Artificial Intelligence) will have a growing role within formal education. What should that role be? How do we treat GenAIs as an opportunity to enhance and reenergise teaching and learning? This theoretical article suggests that answers to these questions should start with our foundational psychological theories about what…
Descriptors: Artificial Intelligence, Technology Uses in Education, Psychological Needs, Competence
David M. Woods; Andrea Hulshult – Information Systems Education Journal, 2025
IT/IS educators continue to work to develop content and activities for teaching Agile practices, processes, and methodologies to their courses to ensure students have the skills expected by businesses. Given the wide range of tools and technologies that fall under the umbrella of Agile and the wide range of places where Agile is applied, educators…
Descriptors: Information Technology, Information Science Education, Computer Science Education, Teaching Methods
Lily Gao; María Eugenia López-Pérez; Iguácel Melero-Polo; Andreea Trifu – Studies in Higher Education, 2024
Chatbots have transformed educational practices, and ChatGPT represents a significant development in this domain. However, more research is needed to determine how user perceptions influence the overall user experience with ChatGPT. To address this gap, this study investigates the role of ChatGPT, a revolutionary artificial intelligence --…
Descriptors: Learning Experience, Artificial Intelligence, Technology Uses in Education, Usability
Ismaila Temitayo Sanusi; Kissinger Sunday; Solomon Sunday Oyelere; Jarkko Suhonen; Henriikka Vartiainen; Markku Tukiainen – Computer Science Education, 2024
Background and context: Researchers have been investigating ways to demystify machine learning for students from kindergarten to twelfth grade (K-12) levels. As little evidence can be found in the literature, there is a need for additional research to understand and facilitate the learning experience of children while also considering the African…
Descriptors: Artificial Intelligence, Foreign Countries, Elementary Secondary Education, Interaction
Lianghai Chu – Education and Information Technologies, 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience…
Descriptors: Student Satisfaction, Computer Assisted Instruction, Electronic Learning, Artificial Intelligence
Venigalla, Akhila Sri Manasa; Chimalakonda, Sridhar – Smart Learning Environments, 2023
E-textbooks are one of the commonly used sources to learn programming, in the domain of computer science and engineering. Programming related textbooks provide examples related to syntax, but the number of examples are often limited. Thus, beginners who use e-textbooks often visit other sources on the internet for examples and other information.…
Descriptors: Electronic Publishing, Textbooks, Documentation, Programming
Fatema Al Nabhani; Mahizer Bin Hamzah; Hassan Abuhassna – Contemporary Educational Technology, 2025
This study sought to investigate the effects of employing artificial intelligence (AI) on the customization of educational content and the enhancement of academic performance and engagement among students and teachers. The research involved a sample of ninth-grade students and their educators from diverse subjects, utilizing questionnaires to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Learning Experience
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Serrano-Mamolar, Ana; Miguel-Alonso, Ines; Checa, David; Pardo-Aguilar, Carlos – Comunicar: Media Education Research Journal, 2023
At present, the use of eye-tracking data in immersive Virtual Reality (iVR) learning environments is set to become a powerful tool for maximizing learning outcomes, due to the low-intrusiveness of eye-tracking technology and its integration in commercial iVR Head Mounted Displays. However, the most suitable technologies for data processing should…
Descriptors: Student Evaluation, Computer Simulation, Eye Movements, Technology Integration
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
There is a need to conceptualize a multidimensional taxonomy for learner-AI interaction. This conceptual/perspective article shares recent work on AI learner education and further presents new conceptions for a multidimensional taxonomy for learner-AI interaction. A review of the literature is conducted (N = 11). Open coding is used to summarize…
Descriptors: Journal Articles, Artificial Intelligence, Taxonomy, Man Machine Systems
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence