Deadlines and MOOCs : How Do Students Behave in MOOCs with and without Deadlines

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http://hdl.handle.net/10138/322908

Lähdeviite

Ihantola , P , Fronza , I , Mikkonen , T , Noponen , M & Hellas , A 2020 , Deadlines and MOOCs : How Do Students Behave in MOOCs with and without Deadlines . in 2020 IEEE Frontiers in Education Conference (FIE) . Frontiers in Education Conference , IEEE , IEEE Frontiers in Education Conference , Uppsala , Sweden , 21/10/2020 . https://doi.org/10.1109/FIE44824.2020.9274023

Julkaisun nimi: Deadlines and MOOCs : How Do Students Behave in MOOCs with and without Deadlines
Tekijä: Ihantola, Petri; Fronza, Ilenia; Mikkonen, Tommi; Noponen, Miska; Hellas, Arto
Tekijän organisaatio: Department of Education
Department of Computer Science
Empirical Software Engineering research group
Mind and Matter
Maker@STEAM
Julkaisija: IEEE
Päiväys: 2020-12
Kieli: eng
Sivumäärä: 9
Kuuluu julkaisusarjaan: 2020 IEEE Frontiers in Education Conference (FIE)
Kuuluu julkaisusarjaan: Frontiers in Education Conference
ISBN: 978-1-7281-8962-8
978-1-7281-8961-1
ISSN: 1539-4565
DOI-tunniste: https://doi.org/10.1109/FIE44824.2020.9274023
URI: http://hdl.handle.net/10138/322908
Tiivistelmä: Full research paper-Online education can be delivered in many ways. For example, some MOOCs let students to proceed with their own pace, while others rely on strict schedules. Although the variety of how MOOCs can be organized is generally well understood, less is known about how the different ways of organizing MOOCs affect retention. In this work, we compare self-paced and fixed-schedule MOOCs in terms of retention and work-load. Using data from over 8.000 students participating in two versions of a massive open online course in programming, we observe that drop-out rates at the beginning of the courses are greater than towards the end of the courses, with self-paced MOOC being more extreme in this respect. Mostly because of different starts, the fixed-schedule course has a better overall retention rate (45%) than its self-paced counterpart (13%). We hypothesize that students initial investment of time and effort contributes to their persistence in their course, meaning that they do not want to let their initial investment go to waste. At the same time, in both self-paced and fixed-schedule MOOCs, there are students who receive almost full points from one week but fail to continue to the next week. This suggests that the issue of dropouts in MOOCs may also be related to participants struggling to take up new tasks or schedule their work over a longer time period. Our results support scheduling student activities in open online courses and opens up new research directions in engaging students in self-paced courses.
Avainsanat: 113 Computer and information sciences
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: other
Pääsyrajoitteet: closedAccess


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