This response to Perna et al. provides an alternate approach to research on massive open online courses (MOOCs). We argue that a student-centered, theory-driven conceptualization and methodological approaches allow us to move beyond descriptive statistics and into a deeper understanding of MOOC learners. Examples using a teacher development MOOC are presented.
BauerD. J.ShanahanM. J. (2007). Modeling complex interactions: Person-centered and variable- centered approaches. Modeling Contextual Effects in Longitudinal Studies, 42(4), 255–283.
2.
BreslowL.PritchardD. E.DeBoerJ.StumpG. S.HoA. D.SeatonD. (2013). Studying learning in the worldwide classroom: Research into edX’s first MOOC. Research & Practice in Assessment, 8, 13–25.
3.
DeBoerJ.HoA. D.StumpG. S.BreslowL. (2014). Changing “course”: Reconceptualizing educational variables for massive open online courses. Educational Researcher, 43, 74–84. doi:10.3102/0013189x14523038
4.
DeciE. L.RyanR. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.
5.
EcclesJ. S.WigfieldA. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.
6.
FulantelliG.TaibiD.ArrigoM. (2014). A framework to support educational decision making in mobile learning. Computers in Human Behavior, 47, 50–59.
7.
HosslerD.GallagherK. S. (1987). Studying college choice: A three-phase model and the implications for policy-makers. College and University, 2, 207–221.
8.
JooY. J.LimK. Y.KimJ. (2013). Locus of control, self-efficacy, and task value as predictors of learning outcome in an online university context. Computers & Education, 62, 149–158. doi:http://dx.doi.org/10.1016/j.compedu.2012.10.027
9.
KingM. A. (1972). Primary and secondary indicators of education. In ShonfieldA.ShawS. (Eds.), Social indicators and social policy (pp. 53–66). London, UK: Heinemann Educational Books.
10.
MOOC-Ed. (2014). MOOC-Ed: Massive open online courses for educators. Retrieved from http://www.mooc-ed.org
11.
PernaL. W.RubyA.BoruchR. F.WangN.ScullJ.AhmadS.EvansC. (2014). Moving through MOOCs: Understanding the progression of users in massive open online courses. Educational Researcher, 43, 421–432. doi:10.3102/0013189X14562423
12.
RyanR. M.DeciE. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.
13.
WigfieldA.TonksS.KlaudaS. L. (2009). Expectancy-value theory. In WentzelK. R.WigfieldA. (Eds.), Handbook of motivation at school (pp. 55–75). New York, NY: Routledge.
14.
WinneP. H.BakerR. S. J. D. (2013). The potentials of educational data mining for researching metacognition, motivation and self-regulated learning. Journal of Educational Data Mining, 5(1), 1–8.