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Alyssa P. Lawson; Amedee Marchand Martella; Kristen LaBonte; Cynthia Y. Delgado; Fangzheng Zhao; Justin A. Gluck; Mitchell E. Munns; Ashleigh Wells LeRoy; Richard E. Mayer – Educational Psychology Review, 2024
A substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better in immersive virtual reality (IVR) or more traditional learning environments. However, a thorough review of the design and implementation of…
Descriptors: Mass Media, Comparative Analysis, Artificial Intelligence, STEM Education
Tosin Ekundayo; Zafarullah Khan; Shahid Ali Chaudhry – Educational Process: International Journal, 2024
Background/Purpose: The integration of ChatGPT within higher education holds significant potential for enhancing learning through personalized, adaptive, and interactive educational experiences. This study's aims were to investigate how academic engagement with ChatGPT in higher education has evolved within the Gulf Cooperation Council (GCC)…
Descriptors: Foreign Countries, Literature Reviews, Artificial Intelligence, Educational Trends
Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software
Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Designing Effective Pedagogical Approaches with Next-Generation LMS for Students in Higher Education
Laohajaratsang, Thanomporn – THAITESOL Journal, 2018
This research examines a selection of academic articles, existing evidence, and early indications of newly-designed Learning Management System (LMS) tools/functions, and then analyzes and synthesizes the concepts to form a thorough description of the components within the concept of next-generation LMS. The comparison of conventional LMS and…
Descriptors: Management Systems, Artificial Intelligence, Social Media, Computer Mediated Communication

Hjorland, Birger; Albrechtsen, Hanne – Journal of the American Society for Information Science, 1995
This programmatic article formulates a new approach to information science: domain analysis. Highlights include a literature review of pertinent research; transdisciplinary tendencies in the understanding of knowledge, including artificial intelligence; domain analysis compared to other theories, including the cognitive approach; and examples of…
Descriptors: Artificial Intelligence, Comparative Analysis, Epistemology, Information Science

Restorick, F. Mark – Information Processing and Management, 1986
Examines novel computer filing systems which have particular application to office information storage and retrieval requirements. A variety of filing systems and their major characteristics are reviewed, ranging from network-based file servers to digital image storage and retrieval systems. Desirable characteristics of a modern electronic office…
Descriptors: Artificial Intelligence, Comparative Analysis, Database Management Systems, Databases

Seidel, Robert J.; Park, Ok-Choon – Journal of Educational Computing Research, 1994
Examines changes which have occurred in the development and evaluation of intelligent tutoring systems (ITSs), speculates on future directions, and proposes a conceptual model for the development of ITSs. Topics discussed include the effectiveness of ITSs; the need for multidisciplinary efforts; and internal and external evaluation. (Contains 78…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Instruction, Evaluation Methods
Gratch, Jonathan; DeJong, Gerald – 1992
In machine learning there is considerable interest in techniques which improve planning ability. Initial investigations have identified a wide variety of techniques to address this issue. Progress has been hampered by the utility problem, a basic tradeoff between the benefit of learned knowledge and the cost to locate and apply relevant knowledge.…
Descriptors: Algorithms, Artificial Intelligence, Comparative Analysis, Computer System Design
Yang, Jung-Shing – Educational Technology, 1987
This literature review discusses the differences between individual and individualized instruction and explores ways of leading future computer assisted instruction (CAI) toward genuine individualized instruction. The development and design of intelligent CAI are described, and topics for future studies are suggested. (LRW)
Descriptors: Artificial Intelligence, Cognitive Psychology, Comparative Analysis, Computer Assisted Instruction