The benefits of peer interaction, support, and feedback in Massive Open Online Courses (MOOCs) for Languages (LMOOCs) are well documented, but there has been little research on peer correction in MOOCs. Classroom-based research suggests that peer corrective feedback has significant potential for language development, but it also identifies a…

Replication of machine learning experiments can be a useful tool to evaluate how both "modeling" and "experimental design" contribute to experimental results; however, existing replication efforts focus almost entirely on modeling alone. In this work, we conduct a three-part replication case study of a state-of-the-art LSTM…

Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several…

In this article, the developers of seven Language Massive Open Online Courses (LMOOCs), Icelandic Online (IOL, https://icelandiconline.com/), describe the technological and pedagogical principles that have contributed to the program's longevity. Development began in 2001 with a courseware system later upgraded to a multiplatform app. Over 80,000…

The diversity in reasons that students have for enrolling in massive open online courses (MOOCs) is an often-overlooked aspect while modeling learners' behaviors in MOOCs. Using survey data from 11,202 students in five MOOCs spanning different academic disciplines, this study evaluates the reasons that students enrolled in MOOCs, using an…

Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…

MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…

Massive Open Online Courses (MOOCs) are easily accessible for anyone in the world to study any given subject, often for free. However, there is some question as to whether they are comparable to their real-world counterparts. The Academic Spoken Word List (ASWL) created by Dang, Coxhead, and Webb (2017) was designed to create a word list that is…

The Massive Open Online Courses (MOOC) apply, nowadays, as an opportunity for teachers to invest in their continuous training aiming to improve or update knowledge and skillsets on their respective scientific areas. Taking these claims into account, the authors of this paper planned, developed, attended and evaluated an xMOOC, reportedly named as…

Despite the advantages of technological tools in large statistics lectures, results of research on their actual value are inconsistent and only point to minimal effects on academic achievement. To fill this gap, in this study, participation in optional electronic quizzes and its effects on exam grades in large statistics classes depending on…

With the rapid emergence of K-12 online learning platforms, a new era of education has been opened up. It is crucial to have a dropout warning framework to preemptively identify K-12 students who are at risk of dropping out of the online courses. Prior researchers have focused on predicting dropout in Massive Open Online Courses (MOOCs), which…

Despite the popular claim that massive open online courses (MOOCs) can democratise educational opportunities, this study suggests that current MOOC platforms are not designed to be accessible and inclusive for learners with disabilities. Our main goals in this study were to identify the needs and barriers that learners with visual impairments face…

This paper addresses the question of identifying a concept dependency graph for a MOOC through unsupervised analysis of lecture transcripts. The problem is important: extracting a concept graph is the first step in helping students with varying preparation to understand course material. The problem is challenging: instructors are unaware of the…

We propose a new model for learning that relates video watching behavior and engagement to quiz performance. In our model, a learner's knowledge gain from watching a lecture video is treated as proportional to their latent engagement level, and the learner's engagement is in turn dictated by a set of behavioral features we propose that quantify…

Massive Open Online Courses (MOOCs) have been challenging the traditional model of higher education since their appearance in 2008. Nowadays they draw a great deal of attention from all the parties involved: students, teachers, administrators and investors. Although such courses offer a wide range of possibilities and hold considerable potential,…