Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
| Since 2022 (last 5 years) | 18 |
| Since 2017 (last 10 years) | 23 |
| Since 2007 (last 20 years) | 31 |
Descriptor
| Artificial Intelligence | 32 |
| Computer Simulation | 32 |
| Feedback (Response) | 32 |
| Teaching Methods | 14 |
| Technology Uses in Education | 14 |
| Educational Technology | 13 |
| Intelligent Tutoring Systems | 10 |
| Automation | 9 |
| Foreign Countries | 9 |
| Online Courses | 9 |
| Second Language Learning | 9 |
| More ▼ | |
Source
Author
| Barnes, Tiffany, Ed. | 2 |
| Chang, Maiga, Ed. | 2 |
| Chia-Ju Lin | 2 |
| Cohen, William W. | 2 |
| Feng, Mingyu, Ed. | 2 |
| Hsin-Yu Lee | 2 |
| Kinshuk, Ed. | 2 |
| Koedinger, Kenneth R. | 2 |
| Matsuda, Noboru | 2 |
| Popescu, Elvira, Ed. | 2 |
| Ting-Ting Wu | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Administrators | 1 |
Location
| Germany | 2 |
| Pennsylvania | 2 |
| Taiwan | 2 |
| Turkey | 2 |
| Afghanistan | 1 |
| Albania | 1 |
| Asia | 1 |
| Australia | 1 |
| Brazil | 1 |
| California | 1 |
| China | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rhonda Bondie; Elizabeth City – Learning Professional, 2024
New questions and concerns arise every day about the impact of AI in schools, such as how teachers will learn about AI and leverage it in their classrooms, how they can use it to develop their own teaching expertise, and if AI for educators really leads to better teaching and learning. The authors believe that AI can help teachers become more…
Descriptors: Preservice Teacher Education, Artificial Intelligence, Computer Simulation, Microteaching
Sungbok Shin – ProQuest LLC, 2024
Data visualization is a powerful strategy for using graphics to represent data for effective communication and analysis. Unfortunately, creating effective data visualizations is a challenge for both novice and expert design users. The task often involves an iterative process of trial and error, which by its nature, is time-consuming. Designers…
Descriptors: Artificial Intelligence, Computer Simulation, Visualization, Feedback (Response)
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Hsin-Yi Liang; Gwo-Jen Hwang; Tien-Yu Hsu; Jen-Yuan Yeh – British Journal of Educational Technology, 2024
Recently, alternate reality games (ARGs) have been applied in museum learning to encourage learners' active engagement through playful problem-solving activities. However, most learners have insufficient prior knowledge and metacognitive skills to complete the learning tasks in such games. To support learning with ARGs, there is a need to provide…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Simulation, Game Based Learning
Yasar C. Kakdas; Sinan Kockara; Tansel Halic; Doga Demirel – IEEE Transactions on Learning Technologies, 2024
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and interactive RL (IRL) to teach and assess the procedure of donning and doffing personal protective equipment (PPE). The simulation is motivated by the need for effective, safe, and remote training techniques in medicine, particularly in light of the COVID-19…
Descriptors: Medical Education, Error Patterns, Error Correction, Reinforcement
Wei-Sheng Wang; Chia-Ju Lin; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
This study explores the integration of ChatGPT technology into Virtual Reality (VR) learning environments to support self-regulated learning (SRL) strategies and foster higher-order thinking skills (HOTS). Utilizing a randomized controlled trial (RCT) design, 81 undergraduate students were randomly assigned to either an experimental group with…
Descriptors: Undergraduate Students, Independent Study, Thinking Skills, Computer Simulation
Murat Polat; Ibrahim Hakan Karatas; Nurgün Varol – Leadership and Policy in Schools, 2025
The incorporation of artificial intelligence (AI) into educational management offers personalized learning, adaptive tutoring, and efficient resource management. However, ethical considerations such as fairness, transparency, accountability, and privacy are crucial. This paper reviews literature and conducts a bibliometric analysis on ethical AI…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Leadership
Wei-Sheng Wang; Margus Pedaste; Chia-Ju Lin; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Interactive Learning Environments, 2024
Virtual reality (VR) provides a unique platform for interactive learning experiences, enhancing learning, particularly in hands-on courses. However, the visual load of VR and the lack of guidance and interaction from physical teachers or peers can pose challenges for learners in self-regulated learning (SRL) and learning motivation. This study…
Descriptors: Feedback (Response), Self Management, Student Motivation, Computer Simulation
Yamada, Taketo; Matsuura, Kenji; Takeuchi, Hironori; Kashihara, Akihiro; Yamasaki, Kenichi; Kurita, Genta – International Association for Development of the Information Society, 2022
It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their…
Descriptors: Motor Vehicles, Traffic Safety, Specialists, Comparative Analysis
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Rukthin Laoha; Wichittra Chomthong; Weerapa Pongpanich – Higher Education Studies, 2025
The integration of Artificial Intelligence (AI) into English as a Foreign Language (EFL) education has transformed teaching practices, necessitating a re-evaluation of teacher competencies in the digital age. This systematic review examines the intersection of AI technologies and EFL teachers' competencies, exploring how AI tools influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Instruction, English (Second Language)
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Xiaoming Zhai, Editor; Joseph Krajcik, Editor – Oxford University Press, 2025
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…
Descriptors: Artificial Intelligence, STEM Education, Technology Uses in Education, Educational Technology
Sheth, Nihar N. – ProQuest LLC, 2021
Simulation based training (SBT) has allowed for improvement of clinical skills by providing practical experience of performing surgical procedures without the risk of harming patients. Performance assessment of learners during SBT has proved to be effective in improving psycho-motor skills, encouraging active learning and in-turn increasing…
Descriptors: Surgery, Medical Education, Active Learning, Teaching Methods
Sean J. Smith; Amber Rowland; Samantha Goldman; Adam Carreon – Journal of Special Education Leadership, 2024
The purpose of this qualitative study was to understand, from the perspective of students with disabilities, what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. This study utilized an immersive and…
Descriptors: Special Education, Leaders, Artificial Intelligence, Technology Uses in Education

Peer reviewed
Direct link
