Recent research shows that learners who are able to self-regulate their learning show greater levels of engagement with massive open online course (MOOC) content. To improve support for learners in their self-regulatory processes, researchers have proposed technological solutions to transform recorded MOOC data into actionable knowledge. However,…

The rapid and impressive development of Massive Open Online Courses (MOOCs) in less than half a decade has generated contrasting arguments about their social dimension. This paper investigates how the socio-economic background of learners affects their own experience and chances of course completion. The analyses test whether learners with a low…

Massive open online courses (MOOCs) have been touted as an effective way to make higher education accessible for free or for only a small fee, thus addressing the problem of unequal access and providing new opportunities to young people in middle and low income groups. However, many critiques of MOOCs have indicated that low completion rates are a…

In Mexico, there has been a rise in Massive Open Online Course (MOOC) enrollments through platforms such as MexicoX. However, this rise in interest has not been accompanied by a corresponding increase in completion rates. This article examines the factors that influence Mexican learners' retention rates and learner engagement to determine the…

Massive Open Online Courses (MOOCs) have emerged with much popularity in the last five years, yet many questions remain about whom MOOCs best serve and what constitutes learner success. Completion rates, a common metric of student success, remain low (averaging < 8%) and may be a misleading measure of success unless learner intentions are…

Current schemes to categorise MOOC students result from a single view on the population which either contains the engagement of the students or demographics or self reported motivation. We propose a new hierarchical student categorisation, which uses common online activities capturing both engagement and achievement of MOOC students. A first level…

This paper examines activity patterns, participant demographics, and levels of satisfaction in multiple MOOC offerings at the University of Illinois at Urbana-Champaign from August 2012-December 2013. Using the following guiding questions: "Who are MOOC participants, how do they participate, and were they able to get what they wanted out of…

Using a unique dataset of 44 Massive Open Online Courses (MOOCs), this paper examines critical patterns of enrollment, engagement, persistence, and completion among students in online higher education. By leveraging fixed-effects specifications based on over 2.1 million student observations across more than 2,900 lectures, we analyze engagement,…

While it is clear that engagement between students and instructors positively affects learning outcomes, a number of factors make such engagement difficult to achieve in large-enrollment introductory courses. This has led to pessimism among some education professionals regarding the degree of engagement possible in these courses. In this paper we…

Instructors of large lecture classes face a variety of challenges, including student engagement and participation. With budget cuts and increasing class sizes, more schools may turn to large lecture/lab formats for the basic communication course (Stanley & Porter, 2002); instructors must understand how these classes engage students. One viable…

Given the rising prevalence rates of autism spectrum disorders (ASD), schools are serving an increasing number of students with ASD (Scull & Winkler, 2011). Researchers have highlighted active engagement as a critical component of effective interventions for students with ASD (National Research Council, 2001), yet there is limited research…

In Spring 2013 San José State University (SJSU) launched SJSU Plus: three college courses required for most students to graduate, which used massive open online course provider Udacity's platform, attracting over 15,000 students. Retention and success (pass/fail) and online support were tested using an augmented online learning environment (AOLE)…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…