We investigate the temporal dynamics of learners’ affective states (e.g., engagement, boredom, confusion, frustration, etc.) during video-based learning sessions in Massive Open Online Courses (MOOCs) in a 22-participant user study. We also show the feasibility of predicting learners’ moment-tomoment affective states via implicit photoplethysmography (PPG) sensing on unmodified smartphones.

Massive Open Online Courses (MOOCs), offering a new way to study online, are revolutionizing education. One challenging issue in MOOCs is how to design effective and fine-grained course concepts such that students with different backgrounds can grasp the essence of the course. In this paper, we conduct a systematic investigation of the problem of course concept extraction for MOOCs. We propose ...

Peer grading is widely used in MOOCs and in standard university settings. The quality of grades obtained via peer grading is essential for the educational process. In this work, we study the factors that influence errors in peer grading. We analyze 288 assignments with 25,633 submissions and 113,169 reviews conducted with CrowdGrader, a web based peer grading tool. First, we found that large gr...

Lehrvideos erfreuen sich dank aktueller Entwicklungen im Bereich der Online-Lehre (Videoplattformen, Massive Open Online Courses) auf der einen Seite und einer riesigen Auswahl sowie einer einfachen Produktion und Distribution auf der anderen Seite großer Beliebtheit bei der Vermittlung von Lerninhalten. Trotzdem bringen Videos einen entscheidenden Nachteil mit sich, welcher in der Natur des Da...

The DAtaset of Joint Educational Entities (DAJEE) is a repository which hosts more than 20,000 educational resources crawled from the MOOC platform Coursera. The resources are divided per category according to the MOOC categorization on Coursera, which is, however, very shallow. This contribution focuses on a more meaningful categorization of the resources in DAJEE, tailored to their content. T...

Effective use of Collaborative Learning in MOOC contexts faces many challenges. One of them regards the possibility to create groups according to a set of criteria, which is not currentlly supported by MOOC platforms. This paper presents our work in progress on this problem. We introduce the design and initial results of an experiment where groups based on homogeneous levels of activity, as cre...

Although MOOCs are being established as a very popular technology to support learning, they are often criticized for their lack of support to active pedagogies and the high drop-out rates. One approach to face this problem is gamification, due to the promising benefits already shown at small-scale environments. Attending to the current and growing use of game elements in MOOCs, this paper prese...

Instructor intervention in student discussion forums is a vital component in Massive Open Online Courses (MOOCs), where personalized interaction is limited. This paper introduces the problem of predicting instructor interventions in MOOC forums. We propose several prediction models designed to capture unique aspects of MOOCs, combining course information, forum structure and posts content. Our ...