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Bahar Radmehr; Tanja Kaser; Adish Singla – Journal of Educational Data Mining, 2025
There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the learner's ability to generalize skills across tasks. In…
Descriptors: Generalization, Reinforcement, Computer Simulation, Artificial Intelligence
Jamal Eddine Rafiq; Abdelwahed Namir; Abdelali Zakrani; Mohammed Amraouy; Abdellah Bennane – Journal of Educators Online, 2025
This study examines the evolution of educational practices in the digital era and the integration of information technologies in teaching. Through an automated search in six digital libraries, we identified 99 relevant studies spanning the period from 1990 to 2021. We draw on a systematic mapping approach to classify these studies for better…
Descriptors: Educational Development, Educational Practices, Information Technology, Artificial Intelligence
Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
Seyedeh Toktam Masoumian Hosseini; Karim Qayumi; Ata Pourabbasi; Elnaz Haghighi; Babak Sabet; Alireza Koohpaei; Zahra Shafiei; Mohsen Masoumian Hosseini; Parniya Nemati – Discover Education, 2025
Background: This study aims to explore the diverse applications of contemporary technological innovations in education and to propose effective strategies for their integration into the curriculum, addressing the complexities and collaborative efforts required for meaningful learning experiences. Methods: This systematic review examines the…
Descriptors: Technology Integration, Educational Technology, Artificial Intelligence, Computer Simulation
Chih-Pu Dai; Fengfeng Ke; Yanjun Pan; Jewoong Moon; Zhichun Liu – Educational Psychology Review, 2024
Computer-based simulations for learning offer affordances for advanced capabilities and expansive possibilities for knowledge construction and skills application. Virtual agents, when powered by artificial intelligence (AI), can be used to scaffold personalized and adaptive learning processes. However, a synthesis or a systematic evaluation of the…
Descriptors: Computer Simulation, Artificial Intelligence, Educational Technology, Program Effectiveness
Jiaxin Ren; Yee Hock Tan; Juncheng Guo – International Journal of Technology in Education, 2025
The metaverse is a virtual reality space that provides a novel and significant environment, fostering educational opportunities and serving as a rich platform for innovative forms of learning. This bibliometric analysis uses the Scopus database as a source for review, employing the PRISMA method to identify 270 articles, with visualisation…
Descriptors: Educational Research, Journal Articles, Computer Simulation, Artificial Intelligence
Tugba Uygun; Ali Sendur; Beyza Top; Kadriye Cosgun-Basegmez – Education and Information Technologies, 2025
Although augmented reality has become one of the most commonly used materials that support learning, especially in learning geometric concepts, it is avoided to be used in the lessons due to its complex structure. At that point, artificial intelligence working as a personal assistant in many fields can help us learn to produce our own model with…
Descriptors: Preservice Teachers, Mathematics Skills, Geometry, Artificial Intelligence
Huiying Dai; So Hee Yoon – International Journal of Web-Based Learning and Teaching Technologies, 2024
The multimedia simulation teaching mode introduces students into virtual scenes for learning. Whether it is enhancing students' interest in learning or enhancing their physical fitness, it is a new teaching mode. This article discusses the establishment of a BP neural network model to study the prediction of students' physical fitness and conducts…
Descriptors: Physical Education, Physical Fitness, Prediction, Adolescents
Aisha M. A. S. Alnajdi – ProQuest LLC, 2024
Data are an essential factor in the fourth industrial revolution, demanding engineers and scientists to leverage and analyze their potential for significantly improving the efficiency of industrial processes and their control systems. In classical industrial process control systems, the models are constructed using linear data-driven approaches,…
Descriptors: Artificial Intelligence, Chemistry, Hierarchical Linear Modeling, Time
Tanja Käser; Giora Alexandron – International Journal of Artificial Intelligence in Education, 2024
Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…
Descriptors: Computer Simulation, Educational Technology, Artificial Intelligence, Algorithms
Seth King; Anne Estapa; Tyler Bell; Joseph Boyer – Journal of Behavioral Education, 2024
Researchers increasingly identify virtual reality (VR) simulations as a potentially effective professional development tool. However, simulations used in education and behavior analysis typically require active oversight from technicians and instructors. "Smart" VR integrated with artificial intelligence could independently administer…
Descriptors: Computer Simulation, Skill Development, Behavior Modification, Verbal Communication
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
Chenghao Wang; Bin Zou – TESOL Journal, 2025
Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Uses in Education, Second Language Instruction
Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction
Mostafa Al-Emran – Interactive Learning Environments, 2024
The rapidly evolving digital landscape, punctuated by the emergence of artificial intelligence (AI) and immersive technologies, is poised to reshape learning environments dramatically. This study explores the potential use of ChatGPT, a state-of-the-art language model developed by OpenAI, in Metaverse learning environments. It sheds light on…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Opportunities