Published on in Vol 8, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12087, first published .
Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review

Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review

Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review

Journals

  1. Smith-Lickess S, Woodhead T, Burhouse A, Vasilakis C. Study design and protocol for a comprehensive evaluation of a UK massive open online course (MOOC) on quality improvement in healthcare. BMJ Open 2019;9(12):e031973 View
  2. Hooley C, Baumann A, Mutabazi V, Brown A, Reeds D, Cade W, Fuentes L, Proctor E, Karengera S, Schecthman K, Goss C, Launois P, Davila-Roman V, Mutimura E. The TDR MOOC training in implementation research: evaluation of feasibility and lessons learned in Rwanda. Pilot and Feasibility Studies 2020;6(1) View
  3. Blum E, Stenfors T, Palmgren P. Benefits of Massive Open Online Course Participation: Deductive Thematic Analysis. Journal of Medical Internet Research 2020;22(7):e17318 View
  4. Alturkistani A, Lam C, Foley K, Stenfors T, Blum E, Van Velthoven M, Meinert E. Massive Open Online Course Evaluation Methods: Systematic Review. Journal of Medical Internet Research 2020;22(4):e13851 View
  5. Chen T, Peng L, Jing B, Wu C, Yang J, Cong G. The Impact of the COVID-19 Pandemic on User Experience with Online Education Platforms in China. Sustainability 2020;12(18):7329 View
  6. Chesniak O, Drane D, Young C, Hokanson S, Goldberg B. Theory of change models deepen online learning evaluation. Evaluation and Program Planning 2021;88:101945 View
  7. Gao J, Yang L, Zou J, Fan X. Comparison of the influence of massive open online courses and traditional teaching methods in medical education in China : A meta‐analysis. Biochemistry and Molecular Biology Education 2021;49(4):639 View