MOOCs gather a rich array of click-stream information from students who interact with the platform. However, without student background information, inferences do not take advantage of a deeper understanding of students’ prior experiences, motivation, and home environment. In this poster, we investigate the predictive power of student background factors as well as student experiences with learn...

This paper describes a theoretical framework and feature taxonomy for MOOCs, with the goal of developing a shared language for researchers and designers. The theoretical framework characterizes MOOC design goals in terms of stances towards knowledge, the learner, and assessment practices, taking as a starting point the affordances of the Web and digital learning environments. The taxonomy encom...

Massive Open Online Courses (MOOCs) are successful in delivering educational resources to the masses, however, the current retention rates — well below 10% — indicate that they fall short in helping their audience become effective MOOC learners. In this paper, we report two MOOC studies we conducted in order to test the effectiveness of pedagogical strategies found to be beneficial in the tradi...

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 is based on the online engagement with the cour...

As the tuberculous hypothesis of coal-workers' progressive massive fibrosis (P.M.F.) is not so strongly held nowadays the possible importance of genetic factors should be explored. Twins with pneumoconiosis should provide helpful information. Details are given of two pairs of twins; one pair is considered to be monozygotic and the other dizygotic. Blood grouping, secretor state, and Rose Waaler...

This theoretical paper attempts to clarify design issues that the field of education has encountered in the context of OER (Open Educational Resources), Massive Open Online Courses (MOOCs) and increased emphasis on informal learning, as examined through the lens of the Interaction Equivalency Theorem. An overview of the core concepts of the Interaction Equivalency Theorem (the EQuiv) is provide...

Massive Open Online Courses (MOOCs) are changing the educational field, challenging traditional institutional strategies and recognition schemes and opening up new opportunities for learners and educators both from within and outside formal education. However, while the potential benefits and risks of the MOOCs have been discussed by scientists and policy makers, the corresponding empirical dat...

This paper introduces the “Search, Align, and Repair” datadriven program repair framework to automate feedback generation for introductory programming exercises. Distinct from existing techniques, our goal is to develop an efficient, fully automated, and problem-agnostic technique for large or MOOC-scale introductory programming courses. We leverage the large amount of available student submiss...

We describe a cheating strategy enabled by the features of massive open online courses (MOOCs) and detectable by virtue of the sophisticated data systems that MOOCs provide. The strategy, Copying Answers using Multiple Existences Online (CAMEO), involves a user who gathers solutions to assessment questions using a “harvester” account and then submits correct answers using a separate “master” ac...

The teach-learn-assess cycle in education is broken in a typical massive open online course (MOOC). Without formative assessment and feedback, MOOCs amount to information dump or broadcasting shows, not educational experiences. A number of remedies have been attempted to bring formative assessment back into MOOCs, each with its own limits and problems. The most widely applicable approach for al...