HarvardX and MITx: Two Years of Open Online Courses Fall 2012-Summer 2014

By Andrew D. Ho, Isaac L. Chuang, Justin Reich, Cody A. Coleman, J. Whitehill, Curtis G. Northcutt, Joseph Jay Williams, J. Hansen, Glenn Lopez, Rebecca Petersen. 2015

353 citations recorded by the source corpus.

Subfields: Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/bfc498c954de3f87507ee200e54871ec00278a8c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Ido Roll
2. Dragan Gasevic
3. Dietmar Jannach
4. Malte Ludewig

Citations in the corpus

• Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses (2017, neutral): “…course content and a small proportion eventually completes the course (Anderson, Huttenlocher, Kleinberg, & Leskovec, 2014; Breslow et al., 2013; Evans, Baker, & Dee, 2016; Ho et al., 2015; Kizilcec, Piech, & Schneider, 2013; Perna et al., 2014; Seaton, Bergner, Chuang, Mitros, & Pritchard, 2014).”
• Motivation to learn in massive open online courses: Examining aspects of language and social engagement (2016, neutral): “Following this recent studies analyzed attrition and dropout rates in MOOCs (Halawa, Mitchell, 2014; Ho et al., 2015; Jordan, 2014; Sinha, 2014).”
• Learning at Scale (2018, background): “Learners come from diverse contexts and bring with them diverse experiences, goals, beliefs, and ways of engaging with content (Chuang and Ho 2016).”