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Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
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Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
Schmid, Richard F.; Gerlach, Vernon S. – Performance Improvement Quarterly, 1990
Discusses the role of algorithms in the design of computer-assisted instruction (CAI). Structural and processing characteristics of algorithms are analyzed, instructional algorithms are explained, empirically based design rules are presented, and the use of instructional algorithms in artificial intelligence is described. (44 references) (LRW)
Descriptors: Algorithms, Artificial Intelligence, Computer Assisted Instruction, Design Requirements
Harmon, Paul – Performance and Instruction, 1984
Considers three powerful techniques--heuristics, context trees, and search via backward chaining--that a knowledge engineer might employ to develop an expert system to automate performance engineering, i.e., the branch of instructional technology that focuses on the problems of business and industry. (MBR)
Descriptors: Algorithms, Artificial Intelligence, Computer Software, Educational Technology
Educational Technology, 1993
Provides the transcript of an interview with Dr. Lev Landa that addressed issues related to his algorithmico-heuristic theories of learning and instruction, called Landamatics. Highlights include teaching thinking versus knowledge; algorithms; instructional design; improving training and performance in industry, business, and government;…
Descriptors: Algorithms, Artificial Intelligence, Heuristics, Instructional Design
Boody, Charles G., Ed. – Journal of Computer-Based Instruction, 1986
Six articles on music and computing address development of computer-based music technology, computer assisted instruction (CAI) in ear training and music fundamentals, a machine-independent data structure for musical pitch relationship representation, touch tablet input device in a melodic dictation CAI game, and systematic evaluation strategies…
Descriptors: Algorithms, Artificial Intelligence, Computer Assisted Instruction, Computer Software