期刊
BEHAVIOUR & INFORMATION TECHNOLOGY
卷 40, 期 6, 页码 565-577出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0144929X.2019.1711452
关键词
Behaviour modelling; distance learning; e-learning; learner - centred design; sequential pattern; visualisation
资金
- National Science Foundation [1352696]
- Division Of Undergraduate Education
- Direct For Education and Human Resources [1352696] Funding Source: National Science Foundation
MOOCs exhibit irregular participation behavior among users, with some students dropping out due to loss of confidence even before learning any course content. Future MOOC practices and policies should provide informative and constructive syllabi to accommodate students' need for previewing the endgame.
Massive open online courses (MOOCs) show highly irregular participation behaviour among users. In this study, using data from Computer Science 50x of HarvardX, we investigated one extreme, yet common strategy to foresee the endgame: taking the final problem set at the beginning of the course. We found such a strategy to be the only dominant trajectory alternative to following the sequence prescribed by the syllabus. Whereas all students who took and passed the final problem set at the beginning of the course subsequently completed the course, those who took and failed the final problem set at the beginning of the course finished the fewest number of milestones, even fewer than those who never attempted the final problem set. Moreover, students with a lower prior programming proficiency were more likely than better prepared students both to take the final problem set early and to fail it. This study revealed the disconcerting phenomenon that many students dropped out of a MOOC because, apparently, their confidence was crushed even before they learned any course content. The study suggests that future MOOC practices and policies should offer informative and constructive syllabi to accommodate students' need for previewing the endgame.
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