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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
Brian R. Belland; Anna Y. Zhang; Eunseo Lee; Emre Dinç; ChanMin Kim – Journal of Computing in Higher Education, 2025
Computer science can be included in Early Childhood Education (ECE) through the use of block-based coding and robots. But this requires adequate preparation of ECE teachers to work with coding and robots, and integrate such into high quality lesson plans. In this paper, we investigate predictors of lesson plan quality among preservice, early…
Descriptors: Robotics, Educational Quality, Lesson Plans, Early Childhood Education
Ozdemir, Ozgur; Hendricks, Christina – Journal of Computing in Higher Education, 2017
Open textbooks are similar to traditional textbooks except that they are free of cost and licensed to allow revision and reuse. Adopting open textbooks for higher education courses is a way to address the growing costs of traditional textbooks that lead some students to be unable to access them, and to allow instructors to tailor the books to…
Descriptors: Textbooks, Higher Education, Shared Resources and Services, Electronic Publishing
Kaplan, Danielle E.; An, Heejung – Journal of Computing in Higher Education, 2005
A study with students enrolled at an urban technical college compared learning of HTML coding across three Web-based program versions. One group received examples providing factual information about the source code (Facts group). A second group was presented with a step-by-step description of the source code (Procedures group). The third group was…
Descriptors: Technical Institutes, College Students, Comparative Analysis, Cluster Grouping

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