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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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Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Nivala, Markus; Rystedt, Hans; Saljo, Roger; Kronqvist, Pauliina; Lehtinen, Erno – International Journal of Computer-Supported Collaborative Learning, 2012
The growing importance of medical imaging in everyday diagnostic practices poses challenges for medical education. While the emergence of novel imaging technologies offers new opportunities, many pedagogical questions remain. In the present study, we explore the use of a new tool, a virtual microscope, for the instruction and the collaborative…
Descriptors: Educational Technology, Medical Education, Pathology, Medical Students
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Engwall, Olov – Computer Assisted Language Learning, 2012
Pronunciation errors may be caused by several different deviations from the target, such as voicing, intonation, insertions or deletions of segments, or that the articulators are placed incorrectly. Computer-animated pronunciation teachers could potentially provide important assistance on correcting all these types of deviations, but they have an…
Descriptors: Feedback (Response), Phonetics, Pronunciation, Computer Assisted Instruction
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Trelease, Robert B.; Rosset, Antoine – Anatomical Sciences Education, 2008
Advances in anatomical informatics, three-dimensional (3D) modeling, and virtual reality (VR) methods have made computer-based structural visualization a practical tool for education. In this article, the authors describe streamlined methods for producing VR "learning objects," standardized interactive software modules for anatomical sciences…
Descriptors: Computer Simulation, Computer Software, Anatomy, Information Science
Scandura, Alice B. – 1989
This final report describes a general purpose system for developing intelligent tutors based on the Structural Learning Theory. The report opens with a discussion of the rules and related constructs that underlie cognitive constructs in all structural learning theories. The remainder of the text provides: (1) an introduction to the Structural…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Computer Managed Instruction
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Ward, William C. – Educational Measurement: Issues and Practice, 1984
Some of the benefits available from using computers to administer the kinds of tests that are familiar in educational settings are reviewed. Four applications that represent current or near-term enhancements of assessment are discussed: computerized adaptive testing, diagnostic testing, test preparation, and administration of simulations of…
Descriptors: Adaptive Testing, Computer Assisted Instruction, Computer Assisted Testing, Computer Simulation