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Showing 1 to 15 of 29 results Save | Export
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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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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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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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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
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Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
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Bosman, Lisa; Kotla, Bhavana; Madamanchi, Aasakiran; Bartholomew, Scott; Byrd, Vetria – European Journal of Engineering Education, 2023
Artificial intelligence (AI) is a rapidly developing field with growing importance in engineering, mainly as it serves to better understand and manipulate big data. However, the literature is sparse on how to educate engineers on the use of AI applications. For many years, a role-playing simulation known as the 'Beer Distribution Game' has been a…
Descriptors: Entrepreneurship, Engineering Education, Labor Force Development, Artificial Intelligence
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Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence
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Abouelenein, Yousri Attia Mohamed; Nagy Elmaadaway, Mohamed Ali – Journal of Educational Computing Research, 2023
The current study aims to determine the effect of teaching a mechanic neuro-computerized course through virtual learning environments (VLE) to develop computational thinking among mathematics pre-service teachers. The neuro-computerized virtual learning environments (NCVLE) model was designed to be used to teach the mechanics course to third-year…
Descriptors: Computation, Thinking Skills, Electronic Learning, Learning Strategies
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Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor; Pedro Isaías, Editor – International Association for Development of the Information Society, 2024
These proceedings contain the papers of the 21st International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2024), held in Zagreb, Croatia, from 26 to 28 October 2024 and organized by the International Association for Development of the Information Society (IADIS). The CELDA conference aims to address the main issues…
Descriptors: Cognitive Processes, Cognitive Psychology, Computer Uses in Education, Technology Uses in Education
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Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
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Zhou, Yiqiu; Kang, Jina – International Educational Data Mining Society, 2022
The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…
Descriptors: Astronomy, Problem Solving, Science Instruction, Cooperative Learning
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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
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