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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
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
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
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
Chen-Chung Liu; Yen-Yu Lin; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Education and Information Technologies, 2025
Fostering English reading interest and engagement among young learners in non-native settings demands innovative strategies. Previous studies emphasized the role of teachers in enhancing reading interest, for example, through dialogic reading due to its interactive nature. However, this approach is challenging to implement on a large scale.…
Descriptors: Learner Engagement, Gamification, Computer Simulation, Reading Interests
Febri Yanti; Lufri Lufri; Yuni Ahda – Open Education Studies, 2025
Augmented reality (AR) became increasingly popular in education worldwide as a useful tool for improving student engagement, teamwork, and problem-solving abilities to enhance students' skills in Education 4.0 (E4.0). This research aimed to analyze and highlight several research publications that examined the use of AR to improve the skills of…
Descriptors: Computer Simulation, High School Seniors, Skill Development, Technology Uses in Education
Rebecca L. Pharmer; Christopher D. Wickens; Benjamin A. Clegg – Cognitive Research: Principles and Implications, 2025
In two experiments, we examine how features of an imperfect automated decision aid influence compliance with the aid in a simplified, simulated nautical collision avoidance task. Experiment 1 examined the impact of providing transparency in the pre-task instructions regarding which attributes of the task that the aid uses to provide its…
Descriptors: Accountability, Automation, Compliance (Psychology), Task Analysis
Chih-Hsuan Chen; Chia-Ru Chung; Hsuan-Yu Yang; Shih-Ching Yeh; Eric Hsiao-Kuang Wu; Hsin-Jung Ting – IEEE Transactions on Learning Technologies, 2024
Possible symptoms of intellectual disability (ID) include delayed physical development that becomes more pronounced as the disability progresses, delayed development of gross and fine motor skills, sensory perception problems, and difficulty grasping the integrity of objects. Although there is no cure or reversal, research has shown that extensive…
Descriptors: Intellectual Disability, Disability Identification, Simulated Environment, Computer Simulation
Surattana Adipat; Rattanawadee Chotikapanich – Shanlax International Journal of Education, 2024
This study explores the transformative journey of higher education towards smart universities, emphasizing integrating cutting-edge technologies such as augmented reality, virtual reality, artificial intelligence, and biometric systems. This evolution responds to the evolving demands of society, aiming to significantly enhance the educational…
Descriptors: Higher Education, Educational Technology, Technology Uses in Education, Computer Simulation
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
Coro, Gianpaolo; Bardelli, Serena; Cuttano, Armando; Fossati, Nicoletta – Education and Information Technologies, 2022
Training through simulation in neonatology relies on sophisticated simulation devices that give realistic feedback to trainees during simulated scenarios. It aims at training highly specialised medical teams in established operational skills, timely clinical manoeuvres, and successful synergy with other professionals. For effective teaching, it is…
Descriptors: Training, Neonates, Medical Education, Computer Simulation
Xiangge Yang; Dongfang Jiang; Meng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Landscape design is a measure of the development of urbanization process and the improvement of people's happiness index. The process of urbanization will involve landscape design. The study and teaching of landscape design is the core teaching method of landscape design research. However, with the diversified development of landscape design…
Descriptors: Artificial Intelligence, Horticulture, Design, Technology Uses in Education
Kun Zhao; Cong Peng; Yue Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The update of artificial intelligence (AI) is triggering the innovation of education concepts, education methods, and education means. This paper takes the impact of contemporary visual communication design on design methods, design means, and presentation methods brought by AI as the starting point; combines the possibilities brought by the…
Descriptors: Communication (Thought Transfer), Visual Aids, Design, Artificial Intelligence
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
O¨zgu¨r Keles¸; Vincent Brubaker-Gianakos; Vimal Viswanathan; Farshid Marbouti – Journal of STEM Education: Innovations and Research, 2023
This paper describes the application of new Virtual Learning Environments (VLEs) in engineering education. It demonstrates how VLEs improve student learning in two engineering concepts compared with the traditional classroom setting. Literature has conflicting studies on both the advantages and disadvantages of learning in VLEs. The application of…
Descriptors: Educational Environment, Virtual Classrooms, Computer Simulation, Artificial Intelligence