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Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
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Meryem Konu Kadirhanogullari – Journal of Science Learning, 2024
This study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data. The phrase "science education and computer-assisted teaching" was written in Scopus on 11_07_2023, and 1232 publications were found. Since not…
Descriptors: Computer Assisted Instruction, Science Education, Bibliometrics, Computer Use
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Jaurès S. H. Kameni; Bernabé Batchakui; Roger Nkambou – International Journal of Artificial Intelligence in Education, 2025
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to support the learner training, we propose optimizing search engines for learning contexts, to enable learners to take optimal advantage of the vast reservoir of Open Educational Resources (OER) available on…
Descriptors: Foreign Countries, Teacher Shortage, Open Educational Resources, Computer Assisted Instruction
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Sally F. Shady – Biomedical Engineering Education, 2025
Challenge: As biomedical engineers revolutionize medicine, biomedical engineering programs must adapt to the diverse learning styles of the current student population. Students are learning in new ways and instructional strategies need to be adopted. Novel Initiative: Understanding generational attributes is crucial for developing effective…
Descriptors: Undergraduate Students, Biomechanics, Science Instruction, Problem Based Learning
Iman YeckehZaare – ProQuest LLC, 2024
This dissertation explores the utilization of a Knowledge Graph of "Micro-topics'' arranged into "Learning Pathways'' (KGMLP) through three learning activities: spaced retrieval, reading, and collaborative note-taking. The objective is to enhance four (out of six) levels of Bloom's digital taxonomy of cognitive processes: remembering,…
Descriptors: Information Retrieval, Reading, Cooperative Learning, Notetaking
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Paul D. Witman; Jim Prior; Tracy Nickl; Christopher Njunge; Stephen Ng’etich; Ayla Chaudhry – Information Systems Education Journal, 2025
Technological tools continue to permeate modern life, to the extent that they can supplant previously fundamental skills. Maps and route-finding are no exception. This complex function, driven by huge volumes of data, makes modern transportation easier, more resilient, and at the same time riskier and more dependent on a sometimes-opaque…
Descriptors: Undergraduate Students, Foreign Countries, Geographic Information Systems, Geographic Location
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Fridah Gatwiri Kiambati; Samuel Wanyonyi Juma; Brenda Aromu Wawire – Quality Assurance in Education: An International Perspective, 2024
Purpose: This paper aims to evaluate the accessibility of digital information systems as a key usability attribute in information retrieval by users with visual impairment (VI), to inform development of accessible information systems. Design/methodology/approach: This study used a cross-sectional survey design based on the quantitative research…
Descriptors: Information Retrieval, Visual Impairments, Accessibility (for Disabled), Usability