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Enrica Lovaglio – ProQuest LLC, 2024
The present investigation aims to identify best practices to design virtual reality (VR) story-worlds to promote prejudice reduction and foster prosocial attitudes toward under-represented groups. Past research shows that VR, which allows the simulation of scenarios that would otherwise be prohibitively difficult or impossible in real life, can be…
Descriptors: Computer Simulation, Prosocial Behavior, Perspective Taking, Minority Groups
Jessy Hsieh – ProQuest LLC, 2024
This dissertation proposes a strategy, or set of decision-making principles, for the education of adults. It explores two related questions: What is the purpose of andragogy and why does this work matter? This philosophical inquiry is situated within a broader context of the automation of knowledge work. As advances in information and…
Descriptors: Adult Education, Andragogy, Decision Making, Information Technology
Wilma Ann Anderson – ProQuest LLC, 2024
The national conversation about STEM education continues. While math and science have been a constant in K-12 and higher education, curriculum in technology and engineering have not been consistently part of the tapestry of American education. As such, there is a dearth of qualified candidates for the ever-growing number of computer science and…
Descriptors: STEM Education, STEM Careers, Disproportionate Representation, Females
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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
Benjamin L. Edelman – ProQuest LLC, 2024
This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…
Descriptors: Learning Processes, Research Methodology, Algorithms, Models
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Jewoong Moon; Fengfeng Ke – Journal of Autism and Developmental Disorders, 2024
The purpose of this single-case experimental design (SCED) study is to investigate how adaptive prompts in virtual reality (VR)-based social skills training affect the social skills performance of autistic children. Adaptive prompts are driven by autistic children's emotional states. To integrate adaptive prompts in VR-based training, we conducted…
Descriptors: Computer Simulation, Interpersonal Competence, Autism Spectrum Disorders, Early Adolescents
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Judy Wynekoop; Kazuo Nakatani – Industry and Higher Education, 2024
Critical thinking has been identified as a key ability in most professions, yet employers find college graduates deficient in critical thinking skills. Research on the effect of college on students' critical thinking ability has been contradictory. This study empirically examines the impact of the immersion approach to teach critical thinking used…
Descriptors: Critical Thinking, Thinking Skills, Computer Science Education, Information Systems
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Aino Ukkonen; Aman Yadav; Katarina Pajchel; Constantinos Xenofontos – Journal of Technology and Teacher Education, 2024
Computational thinking (CT) is increasingly integrated into education, promoting problem-solving skills essential for the 21st century. However, little is known about how teachers assess CT in K-12 classrooms. This qualitative study explores elementary teachers' approaches to CT assessment after professional development in integrating CT into core…
Descriptors: Elementary School Teachers, Thinking Skills, Evaluation Methods, Troubleshooting
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Joshua Bumanlag; Adrian Angelo Abelarde – International Society for Technology, Education, and Science, 2024
This paper presents an improved Distributed Genetic Algorithm (DGA) that surpasses the classic genetic algorithm (GA) in terms of both efficiency and effectiveness when it comes to optimizing faculty scheduling systems. The proposed Differential Evolution Genetic Algorithm (DGA) combines DE with chaotic mapping and asynchronous communication to…
Descriptors: Algorithms, Faculty Workload, School Schedules, Computer Uses in Education
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Jodi Olson; Brian Huels – Advances in Accounting Education: Teaching and Curriculum Innovations, 2024
Partnership and limited liability company (LLC) entity types are commonplace in the business world. Unfortunately, in many tax classrooms, individual and corporate taxation topics tend to dominate the syllabus. In alignment with the CPA Evolution Model Curriculum, referencing the importance of teaching partnership returns in accounting education,…
Descriptors: Accounting, Business Education, Taxes, Small Businesses
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Yunsung Kim; Jadon Geathers; Chris Piech – International Educational Data Mining Society, 2024
"Stochastic programs," which are programs that produce probabilistic output, are a pivotal paradigm in various areas of CS education from introductory programming to machine learning and data science. Despite their importance, the problem of automatically grading such programs remains surprisingly unexplored. In this paper, we formalize…
Descriptors: Grading, Automation, Accuracy, Programming
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Shonfeld, Miri; Greenstein, Yoram – British Journal of Educational Technology, 2021
This paper focuses on student attitudes about using a virtual world (VW) learning platform. VWs allow students to meet via avatars and experience events that simulate real social experiences. It can also enhance student motivation, learning and collaboration. However, studies have reported that many students and teachers find VW difficult to use,…
Descriptors: Preservice Teachers, College Students, Student Attitudes, Computer Simulation
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Soboleva, Elena V.; Suvorova, Tatyana N.; Zenkina, Svetlana V.; Bocharov, Mikhail I. – European Journal of Contemporary Education, 2021
The problem that the given paper aims to solve is associated with the need to resolve the contradiction between the requirements of the digital economy for a high level of computational thinking of specialists of the future and an insufficiently developed methodological base for training graduates that meets these requirements. The purpose of the…
Descriptors: Computer Games, Computer Science Education, Computer Software, Specialists
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Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
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Sdravopoulou, Konstantina; Castillo, Juan Jesús Gutiérrez; González, Juan Manuel Muñoz – Education and Information Technologies, 2021
There is a significant body of research in "naturalistic designs" of augmented reality (AR), concerning different fields (medicine, education, arts etc). Although naturalistic approaches have the potential to enable new forms of experiencing and experimenting with AR technologies, it remains unclear how they can impact participants'…
Descriptors: Computer Simulation, Design, Computer Software, Simulated Environment
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