University students' achievement goals and help-seeking strategies in an intelligent tutoring system
作者： Bram E. Vaessen , Frans J. Prins , Johan Jeuring
DOI: 10.1016/J.COMPEDU.2013.11.001
关键词:
摘要: Help seeking behavior in an intelligent tutoring system was analyzed to identify help strategies, and it investigated whether the use of these strategies could be predicted by achievement goal scores. Discrete Markov Models a k-means clustering algorithm were used logistic regression analyses (n?=?45) analyze relation between goals strategy use. Five identified, three which These labeled Little Help, Click Through Direct Solution, Step By Step, Quick Solution. The mastery avoidance goals, Solution negatively positively performance approach goals. Students' help-seeking behaviors analyzed.Five identified.The
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