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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
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
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
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
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
Yeni Erita; Yalvema Miaz; Jupriani Jupriani; Silvi Hevria; Rosmadi Fauzi – Open Education Studies, 2024
Artificial intelligence (AI) and virtual reality (VR) are interconnected, integrated technologies that help to visualize AI systems and increase the fidelity and interactivity of VR in the educational field. Using VR and AI technology, teachers can promote thinking and knowledge in learning. This research aims to analyze and highlight several…
Descriptors: Computer Simulation, Artificial Intelligence, 21st Century Skills, Elementary School Students
Bosede Iyiade Edwards, Editor; Bruno Lot Tanko, Editor; Mustafa Klufallah, Editor; Hassan Abuhassna, Editor; Caleb Chidozie Chinedu, Editor – Lecture Notes in Educational Technology, 2025
This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human-machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Learning
Nye, Benjamin D.; Davis, Dan M.; Rizvi, Sanad Z.; Carr, Kayla; Swartout, William; Thacker, Raj; Shaw, Kenneth – Journal of Research on Technology in Education, 2021
One-on-one mentoring is effective for helping novices with career development. However, traditional mentoring scales poorly. To address this problem, MentorPal emulates conversations with a panel of virtual mentors based on recordings of real STEM professionals. Students freely ask questions as they might in a career fair, while machine learning…
Descriptors: Mentors, Career Exploration, Science Careers, Computer Simulation
Rimland, Jeffrey C. – ProQuest LLC, 2013
In many evolving systems, inputs can be derived from both human observations and physical sensors. Additionally, many computation and analysis tasks can be performed by either human beings or artificial intelligence (AI) applications. For example, weather prediction, emergency event response, assistive technology for various human sensory and…
Descriptors: Man Machine Systems, Artificial Intelligence, Client Server Architecture, Information Technology
Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko – Campus-Wide Information Systems, 2012
Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…
Descriptors: Expertise, Knowledge Management, Business Administration, Facilitators (Individuals)
Thomas, M. S.; Kothari, D. P.; Prakash, A. – IEEE Transactions on Education, 2011
Automation of power systems is gaining momentum across the world, and there is a need to expose graduate and undergraduate students to the latest developments in hardware, software, and related protocols for power automation. This paper presents the design, development, and commissioning of an automation lab to facilitate the understanding of…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Computer Assisted Instruction
Nishide, Ryo – Journal of Interactive Learning Research, 2011
This paper proposes extensive applications of virtual collaborative space in order to enhance the efficiency and capability of Digital Campus. The usability of Digital Campus has been experimented in different learning environments and evaluated by questionnaire as that the presence technology and a sense of solidarity influence the participants'…
Descriptors: Foreign Countries, Educational Innovation, Educational Experiments, Lecture Method
Zhang, Li; Gillies, Marco; Dhaliwal, Kulwant; Gower, Amanda; Robertson, Dale; Crabtree, Barry – International Journal of Artificial Intelligence in Education, 2009
This paper describes a multi-user role-playing environment, referred to as "e-drama", which enables groups of people to converse online, in scenario driven virtual environments. The starting point of this research, is an existing application known as "edrama", a 2D graphical environment in which users are represented by static…
Descriptors: Disabilities, Cartoons, Interpersonal Relationship, Interaction
DeKanter, Nick – TechTrends: Linking Research & Practice to Improve Learning, 2005
The new definition of interactivity has as its focal point the skills of people, not the capabilities of the technology. The goal is to enhance the interaction between people and the learning that can only occur among curious and motivated individuals working together. The social nature of people, the increasing capabilities of technology and the…
Descriptors: Computer Simulation, Computer Uses in Education, Artificial Intelligence, Computer Assisted Instruction