Projects per year
This study uses Cohesion Network Analysis (CNA) indices to identify student patterns related to course completion in a massive open online course (MOOC). This analysis examines a subsample of 320 students who completed at least one graded assignment and produced at least 50 words in discussion forums in a MOOC on educational data mining. The findings indicate that CNA indices predict with substantial accuracy (76%) whether students complete the MOOC, helping us to better understand student retention in this MOOC and to develop more actionable automated signals of student success.
|Title of host publication||Making a Difference: Prioritizing Equity and Access in CSCL|
|Subtitle of host publication||12th International Conference on Computer Supported Collaborative Learning|
|Editors||Brian K. Smith, Marcela Borge, Emma Mercier, Kyu Yon Lim|
|Publisher||International Society of the Learning Sciences|
|Publication status||Published - 2017|
|Event||Making a Difference: Prioritizing Equity and Access in CSCL: 12th International Conference on Computer Supported Collaborative Learning - Philadelphia, United States|
Duration: 18 Jun 2017 → 21 Jun 2017
|Conference||Making a Difference: Prioritizing Equity and Access in CSCL|
|Abbreviated title||CSCL 2017|
|Period||18/06/17 → 21/06/17|
- Cohesion Network Analysis
- Massive Open Online Courses
- prediction of completion rates
- longitudinal analysis
- ReaderBench framework
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Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
1/02/15 → 31/07/19