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Zhang, Jingjing; Shan, Li; Mavrikis, Manolis; Holmes, Wayne; Ma, Ning and Gao, M
(2019).
URL: https://www.solaresearch.org/wp-content/uploads/20...
Abstract
Pattern-finding analytical techniques to improve our understanding of the use of feedback and scaffolding during problem-solving processes have attracted great attention. This study used the lag sequential analysis to unfold the learning patterns according to affective states during students’ problem-solving processes. The results have shown that the significant transitional sequences of learning activities before and after requesting feedback and seeking scaffolding differ between students associated with positive and negative affective states. This study highlights the importance of providing tailored support based on students’ affective states, to further enhance their technology-mediated learning experience.