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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
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Jacqueline Corcoran; Malitta Engstrom; Kate Ledwith; Gerard Jefferies; Tamara J. Cadet – Journal of Teaching in Social Work, 2025
Competency-based education in social work (CSWE, 2022) demands active learning methods that demonstrate professional competencies and practice behaviors. Role-plays and simulations are methods that link learning in the classroom with practice. This article explores role-play and simulation variants: basic role-play, real play, student-scripted…
Descriptors: Role Playing, Simulation, Social Work, Competency Based Education
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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
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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
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Patrick Bowers; Kelley Graydon; Tracii Ryan; Jey Han Lau; Dani Tomlin – Australasian Journal of Educational Technology, 2024
This study presents a scoping review of research on artificial intelligence (AI)- driven virtual patients (VPs) for communication skills training of healthcare students. We aimed to establish what is known about these emergent learning tools, to characterise their design and implementation into training programmes. The preferred reporting items…
Descriptors: Allied Health Occupations Education, Artificial Intelligence, Computer Simulation, College Students
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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
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Kotlyar, Igor; Sharifi, Tina; Fiksenbaum, Lisa – International Journal of Artificial Intelligence in Education, 2023
Teamwork skills are commonly evaluated by human assessors, which can be logistically challenging and resource intensive. Technological advancements provide an opportunity for a new assessment method -- virtual behavioural simulations with self-scoring algorithms. This study explores whether a rule-based algorithm can match human assessors at…
Descriptors: Algorithms, Undergraduate Students, Computer Simulation, Evaluation
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Ruby S. Chanda; Vanishree Pabalkar; Sarika Sharma – Journal of Applied Research in Higher Education, 2024
Purpose: This study aims to understand and analyze the aspects influencing students' attitudes and behavior toward the use of metaverse in education. The metaverse is currently viewed as technology with immense prospects. However, the practice of the metaverse for educational motives is rarely deliberated. Design/methodology/approach: To assess…
Descriptors: Undergraduate Students, Graduate Students, Artificial Intelligence, Computer Simulation
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Isabel Fischer; Kerry Dobbins – Journal of Management Education, 2024
At a time when emerging technologies increasingly transform the workplace and society overall, management educators seem reluctant to fully embrace emerging transformative technologies in their teaching. In this conceptual essay, we argue that this reluctance stems from paradoxical tensions of identity of management educators and students. The…
Descriptors: Business Administration Education, Administrator Education, Technology Uses in Education, College Faculty
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Miguel Ángel Escotet – Prospects, 2024
Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…
Descriptors: Futures (of Society), Artificial Intelligence, Technology Uses in Education, Higher Education
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Roland Kiraly; Sandor Kiraly; Martin Palotai – Education and Information Technologies, 2024
Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…
Descriptors: Artificial Intelligence, Computer Science Education, Problem Solving, College Faculty
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Igor Kotlyar; Noel J. Pearse; Joe Krasman – Discover Education, 2024
AI-based simulations for educational and assessment purposes are gaining global recognition. Informed by cultural comparison research, this study investigates cross-country variations in users' utilization and perceptions of a simulation-based assessment. Specifically, we conducted a comparative analysis between a sample of South African and…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Computer Simulation
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Melanie Forstall Lemoine – Research Issues in Contemporary Education, 2024
Overall teacher effectiveness is connected to the teacher's sense of confidence in their personal ability to be effective. An important part of teacher effectiveness is communication and collaboration with parents, and family members of their students. Research has demonstrated the positive impact strong relationships between families and school…
Descriptors: Preservice Teachers, Self Esteem, Self Efficacy, Parent Teacher Conferences
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Alexandra Hain; Sarira Motaref – Journal of STEM Education: Innovations and Research, 2023
The ability to predict spatial elements based on two-dimensional figures, evaluate engineering elements, identify expected deformations, and predict possible failure mechanisms are critical for engineers. However, in applied mechanics courses, many undergraduate engineering students struggle with applying these skills to engineering problems.…
Descriptors: Computer Simulation, Visual Aids, Undergraduate Students, Engineering Education
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Saman Ebadi; Asieh Amini – Interactive Learning Environments, 2024
Artificial Intelligence (AI) technology in the educational context, particularly chatbotics, has made significant changes in learning English. This mixed-methods study is intended to explore university students' attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications. Meanwhile, the role of social presence…
Descriptors: Artificial Intelligence, Educational Technology, English (Second Language), Second Language Learning
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