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- W2930564040 abstract "In this paper, we analyzed the learners’ behavior data of the large-scale online course (MOOC). We used the data of learners’ Learning behavior to establish the learner-video dipartite network. The two sets of the network are the learners and video collections. In this study, we found the pattern that learners watch videos obeys power-law distribution. In order to study the collective online learning habits, we performed a distribution fit on the learner's video behavior and calculate the parameters, and found that learners' online learning behavior obeys the power-law distribution. Based on the above research, we found the collective online learning habits, which provides a theoretical basis for online course builders to master learners' learning habits." @default.
- W2930564040 created "2019-04-11" @default.
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- W2930564040 date "2019-03-28" @default.
- W2930564040 modified "2023-10-18" @default.
- W2930564040 title "Uncovering Collective Online Learning Habits" @default.
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- W2930564040 doi "https://doi.org/10.12783/dtcse/iteee2019/28837" @default.
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