2013 IEEE Global Engineering Education Conference (EDUCON) 2013
DOI: 10.1109/educon.2013.6530277
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openHPI - A case-study on the emergence of two learning communities

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Cited by 20 publications
(11 citation statements)
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“…While the course participants' activity in the forum has a positive influence on their final results [14], only a small percentage actually take part in the forum on a regular basis. In the openHPI course Internetworking with TCT/IP only 20% of the participants posted at least one time in the forum [15].…”
Section: Forum/pin Boardmentioning
confidence: 99%
“…While the course participants' activity in the forum has a positive influence on their final results [14], only a small percentage actually take part in the forum on a regular basis. In the openHPI course Internetworking with TCT/IP only 20% of the participants posted at least one time in the forum [15].…”
Section: Forum/pin Boardmentioning
confidence: 99%
“…However, qualitative analysis can bring about a more detailed and nuanced understanding of learners that can be absent with a purely quantitative analysis. Previous qualitative studies which have employed thematic analysis within MOOCs have moved away from learner comments and have used learner blogs (Zutshi et al, 2013), MOOC videos (Hui, Yinjuan, Yingshan, & Zenong, 2014), online surveys (Baxter & Haycock, 2014), instructor observations (Grunewald et al, 2013), and twitter comments (Xia, 2014) to gain perspectives on MOOC learner behaviour and attitudes.…”
Section: Methodsmentioning
confidence: 99%
“…They generate large amounts of learner data in the form of participant activity and interactions (Huang, Dasgupta, Ghosh, Manning, & Sanders, 2014;Seaton, Bergner, Chuang, Mitros, & Pritchard, 2014), learner survey results (Fini, 2009), external social media comments (Koutropoulos et al, 2014), interviews (Mackness, Waite, Roberts, & Lovegrove, 2013), focus groups (Firmin et al, 2014), observations (Grunewald et al, 2013), blog entries (Zutshi, O'Hare, & Rodafinos, 2013), and forum comments (Tucker, Pursel, & Divinsky, 2014). These data sources have been analyzed using a wide variety of different qualitative and quantitative methodologies and methods (Gallagher & Savage, 2016;Raffaghelli & Persico, 2014) to understand learner behaviour and frame course design, and determine MOOC success or failure.…”
mentioning
confidence: 99%
“…Furthermore, in average only around 18% of the students are able to finish the courses with a certificate. Students are granted a certificate when they solve more than 50% of the assignments and exams correctly [1] [2]. This paper focuses on an embedded approach to motivate users to increase the activity and certificate rates.…”
Section: Introductionmentioning
confidence: 99%