Abstract: If a MOOC is to qualify for equal credit as an existing on-campus offering, students must achieve comparable outcomes, both educational and attitudinal. We have built a MOOC for teaching CS1 with the intent of offering it for degree credit. To test its eligibility for credit, we delivered it as an online for-credit course for two semesters to 197 on-campus students who selected the online version rather than a traditional version. We compared the demographics, outcomes, and experiences of these students to the 715 students in the traditional version. We found the online students more likely to be older; to be underrepresented minorities; and to have previously failed a CS class. We then found that our online students attained comparable learning outcomes to students in the traditional section. Finally, we found that our online students perceived the online course quality more positively and required less time to achieve those comparable learning outcomes.
Toward CS1 at Scale: Building and Testing a MOOC-for-Credit Candidate
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- 26 Jun 2018: Presenting at the 2018 Festival of Learning. David Joyner is presenting five papers at the Festival of Learning between ICLS, AI in Education, and Learning @ Scale this week.
- 26 Apr 2018: Two full papers accepted to Learning @ Scale 2018. David Joyner has had two full papers accepted for Learning at Scale 2018, one on policies and workflows in the OMSCS and one on results from CS1 online.
- 24 Mar 2018: Two short papers accepted to AI in Education 2018. LucyLabs has had two short papers accepted to AI in Education 2018: one by David Joyner and Heather Newman, the other by David Joyner alone.
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