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Mackness, J, Mak, S and Williams, R (2010) The ideals and reality of participating in a MOOC, proceedings of the 7th International Conference on Networked Learning 2010, University of Lancaster, available at: www.lancaster.ac.uk/fss/organisations/netlc/past/nlc2010/ abstracts/PDFs/Mackness.pdf' This is a peer reviewed scholarly article, frequently cited, based on mixed method research which studied the learners in the first connectivist MOOC. As such it was the first study of its kind. It appears to have correctly analyzed the relatively small quantitative sample of learners, including an instructor or two. Its contribution is to test the connectivist theory (Siemens and Downes) with a case. As noted in the abstract "The research found that autonomy, diversity, openness and connectedness/interactivity are indeed characteristics of a MOOC, but that they present paradoxes which are difficult to resolve in an online course. The more autonomous, diverse and open the course, and the more connected the learners, the more the potential for their learning to be limited by the lack of structure, support and moderation normally associated with an online course, and the more they seek to engage in traditional groups as opposed to an open network." P. 266 Analysis was focused on the "characteristics of connectivism outlined by Downes, i.e. autonomy, diversity, openness and connectedness/interactivity" p.266. Generally the research outlines the strengths and weaknesses of cMOOCs using this format. Not a lot of further research is recommended other than using a larger sample in future research and "the aims of experiencing learning within a massive open online network are constrained by a course framework and many design issues and aspects of learner experience remain unresolved." P. 273 Abstract "CCK08' was a unique event on Connectivism and Connective Knowledge within a MOOC (Massive Open Online Course) in 2008. It was a course and a network about the emergent practices

Reference Gasevic, D., Kovanovic, V. Joksimovic, S., Siemens, G. (2014). Where is Research on Massive Open Online Courses Headed ? A Data Analysis of the MOOC Research Initiative. The International Review of Research in Open and Distance Learning, 15(5), 135 -176. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1954/3111

Marian, this is an involved research report on MOOC research initiative! Specifically, the issue of low course completion and high degree of student attrition was often pronounced as the key challenge of MOOCs & that understanding factors that affect student engagement, completion and success in MOOCs is a complicated psychological process. Theory of planned behavior (TPB) - used to study behavioral change - in the study's case, changing students intention to complete a MOOC and thus, increase their likelihood of course completion - it remains to be seen to what extent a student's intention can be changed if the student did not have an intention to complete a MOOC in the first place. What would be a reason that could motivate a student to change their intention in cases when she/he only enrolled in a MOOC to access information provided without intentions to take any formal assessments? Side note - are you aware of (or have you already taken) ESC's EDU-681111 Metacognitive Analysis: U Albany & Empire State College MOOC? Also, you may be interested in reading this article - Beyond MOOCs: Is IT Creating a New, Connected Age? EDUCAUSE Sprint 2013.

Yousef, A. M. F., Chatti, M. A., Wosnitza, M., & Schroeder, U. (2015). A Cluster Analysis of MOOC Stakeholder Perspectives. RUSC. Universities and Knowledge Society Journal, 12(1). pp. 74-90. doi http://dx.doi.org/10.7238/rusc.v12i1.2253 Abstract "Massive Open Online Courses (MOOCs) are providing opportunities for thousands of learners to participate in free higher education courses online. MOOCs have unique features that make them an effective Technology Enhanced Learning (TEL) approach. Institutions are offering a growing variety of MOOCs. Nevertheless, there are several crucial challenges that should be considered in the development of MOOCs, e.g., the drop-out rate of over 95% of course participants. One of the potential reasons for that is the complexity and diversity of MOOC participants. This diversity is not only related to the cultural and demographic profile, but also considers the diverse motives and perspectives when enrolled in MOOCs. This paper aims to cluster and analyze the different objectives of MOOC stakeholders to build a deeper and better understanding of their behaviors. Our main finding was a set of eight clusters, i.e., blended learning, flexibility, high quality content, instructional design and learning methodologies, lifelong learning, network learning, openness, and student-centered learning. This cluster schema creates a meaningful picture for the MOOC community" (p. 71). This is a peer reviewed scholarly article that uses qualitative and quantitative methods to analyze survey data on MOOC instructors and learners. Responses were relatively low: 158. The context is unclear - where did they get the sampling frame from? And why did they combine the learners and instructors? So there is some question as to the sample and it cannot be generalized. That said, they are innovative in their qualitative analysis. The qualitative work analyzed the open ended questions in their survey. They used a research method that allowed them to catego

Jordan, K. (2014). Initial trends in enrolment and completion of Massive Open Online Courses. International Review of Research in Open and Distance Learning, 15(1), 133-160. Retrieved from http://www.irrodl.org/index.php/irrodl/article/viewFile/1651/2813 Abstract "The past two years have seen rapid development of massive open online courses (MOOCs) with the rise of a number of MOOC platforms. The scale of enrolment and participation in the earliest mainstream MOOC courses has garnered a good deal of media attention. However, data about how the enrolment and completion figures have changed since the early courses is not consistently released. This paper seeks to draw together the data that has found its way into the public domain in order to explore factors affecting enrolment and completion. The average MOOC course is found to enroll around 43,000 students, 6.5% of whom complete the course. Enrolment numbers are decreasing over time and are positively correlated with course length. Completion rates are consistent across time, university rank, and total enrolment, but negatively correlated with course length. This study provides a more detailed view of trends in enrolment and completion than was available previously, and a more accurate view of how the MOOC field is developing." p.133 This is a peer reviewed article by a frequently cited author from the Open University who has set up for other researchers a MOOC Research Literature Browser that currently has 257 annotated research articles. It was written in 2013 using enrolment and completion data that was available on the Internet. It lists the data in a long table (for transparency) and shows in graphs enrolment and completion analysis. The article's main contribution is the aggregation of data for a large number of courses undertaken from 2011-2013 on 3 US based platforms, data not readily ava

Cao, M. (2014). Understanding learners' experience in MOOCs: a review of literature. Retrieved from http://repositories.lib.utexas.edu/handle/2152/26325 Abstract "MOOCs have become a popular topic in the educational field since 2008. This report reviews the literature from 2008 to March 2014 on the development of MOOCs with a focus on learners' experience. By looking into the topics researchers have been investigating, this review identifies eight themes on this topic: (1) Platforms and Technology, (2) Instructional Materials and Assessment, (3) Instructors, (4) Participants' demographics, (5) Motivation and Engagement Patterns, (6) Self-directed Learning and Learner Interaction, (7) Blended Education, and (8) Completion rates. The review also indicates that MOOC course design (pedagogies, technical support, assessment and instructors) and learner characteristics (motivation, engagement levels, self-directed learning and digital literacy) influence learners' experience. Possible future research questions are also proposed in this report." (p.1) This report is a literature review for a masters by a student at University of Texas at Austin. At the time of writing (March 2014) the author found relatively few references focusing on learners' experience in MOOCs from scholarly journals- 15 in total and she reported on them. These articles disproportionately analyzed cMOOCs as compared with xMOOCs and in both cases data was drawn from relatively early courses. Most references cover only one course. The report identifies 8 themes to categorize the articles' content: (1) Platforms and Technology, (2) Instructional Materials and Assessment, (3) Instructors, (4) Participants' demographics, (5) Motivation and Engagement Patterns, (6) Self-directed Learning and Learner Interaction, (7) Blended Education, and (8) Completion rates. Analysis shows that all these categories are inter-related and affect each other. The author identifies 5 areas for further r

"Technology acceptance in education has been and continues to be a central concern for researchers, application and platform developers, and educators. Rapid advancements in miniaturization along with the availability of fast, reliable, and affordable networks have sparked an increasing demand by students for better ways to complement their mobile lifestyles in support of their learning. Based on a review of the literature of technology acceptance and trends in mobile device usage in learning, this researcher tested the predictive power of the Mobile Learning Acceptance Model (MLAM) in an online higher education setting. MLAM is an extension of the technology acceptance model (TAM) inasmuch as it seeks to obtain user perceptions of usefulness and ease of use and their effect on user attitude and behavioral intention to use mobile devices for learning. For this research, users included students and faculty. Current literature indicates that student desire for access to a variety of learning resources anywhere anytime is growing yet little is known regarding faculty perceptions regarding mobile learning (m-learning) or on how institutions can position themselves to meet the growing demand. A web-based survey design was used to test MLAM using a previously developed and validated instrument, though updated to include and exclude what is now or no longer applicable and the wording modified to ensure relevancy to the target population studied. Exploratory factor analysis was performed to validate the factor structure. Multiple regression analysis was performed to determine which factors had the greatest influence on m-learning acceptance." [Abstract from ERIC database.] Link: http://search.proquest.com.library.esc.edu/docview/1399418322/abstract?accountid=8067 Marrs, K. (2013). An investigation of the factors that influence faculty and student acceptance of mobile learning in online higher education. Retrieved from http://search.proquest.com.library.esc.edu/pqrl/doc

from the article: "...Too many of the findings that fill the academic ether are the result of shoddy experiments or poor analysis (see article). A rule of thumb among biotechnology venture-capitalists is that half of published research cannot be replicated. Even that may be optimistic.."