ASU Electronic Theses and Dissertations
- 2 Public
Online learning platforms such as massive online open courses (MOOCs) and intelligent tutoring systems (ITSs) have made learning more accessible and personalized. These systems generate unprecedented amounts of behavioral data and open the way for predicting students’ future performance based on their behavior, and for assessing their strengths and weaknesses in learning. This thesis attempts to mine students’ working patterns using a programming problem solving system, and build predictive models to estimate students’ learning. QuizIT, a programming solving system, was used to collect students’ problem-solving activities from a lower-division computer science programming course in 2016 Fall semester. Differential mining techniques …
- Mandal, Partho Pratim, Hsiao, I-Han, Davulcu, Hasan, et al.
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In the daily life of an individual problems of varying difficulty are encountered. Each problem may include a different number of constraints placed upon the problem solver. One type of problem commonly used in research are multiply-constrained problems, such as the compound remote associates. Since their development they have been related to creativity and insight. Moreover, research has been conducted to determine the cognitive abilities underlying problem solving abilities. We sought to fully evaluate the range of cognitive abilities (i.e., working memory, episodic and semantic memory, and fluid and crystallized intelligence) linked to multiply-constrained problem solving. Additionally, we sought to …
- Ellis, Derek Matthew, Brewer, Gene A, Homa, Donald, et al.
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