Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization 2018
DOI: 10.1145/3213586.3225237
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Identifying Students' Persistence Profiles in Problem Solving Task

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Cited by 4 publications
(4 citation statements)
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“…In this study, we take a microlevel approach in which we examine persistence in instances throughout the learning process. A similar approach has been recently reported (Dumdumaya et al., 2018; Fang et al., 2017). We do so in the context of a CT learning platform.…”
Section: Discussionmentioning
confidence: 62%
“…In this study, we take a microlevel approach in which we examine persistence in instances throughout the learning process. A similar approach has been recently reported (Dumdumaya et al., 2018; Fang et al., 2017). We do so in the context of a CT learning platform.…”
Section: Discussionmentioning
confidence: 62%
“…From an educator perspective, teachers should encourage their learners to interact more often with the material. Moreover, DiCerbo (2014, S. 18) and Dumdumaya et al (2018) argue that the total time spent on task‐relevant events or ‘time spent for a solved problem’ are indicators of student persistence, which might also have positive effects on problem solving. Our study's results confirm this hypothesis as the two top performing clusters showed higher time consumption on the problem than weaker problem solvers.…”
Section: Discussionmentioning
confidence: 99%
“…However, students with the lowest frequency spent the most time in the first half. Other researchers, like Dumdumaya et al (2018, p. 283), investigated persistence during the problem‐solving process based on clustering. The analysis of inferred process indicators like time on task (‘Time on Tutored Problems’), ‘Time on Resources’ and frequency of hint requests identified two clusters: ‘more persistent students’ and ‘less persistent students’.…”
Section: Log Data Analysis Of Problem‐solving Behaviour In Computer‐b...mentioning
confidence: 99%
“…Rather than referring to persistence on the macro‐level, as commonly done, we explored micro‐persistence, which reflects the behaviour of keeping students engaged with individual learning tasks. This level of persistence has only been studied on a limited scale (Dumdumaya et al, 2018; Fang et al, 2017). Analysing persistence at that level enabled us to identify the nuanced associations between students' micro‐persistence and task difficulty and unveil unique patterns.…”
Section: Discussionmentioning
confidence: 99%