Concept
Distance education
Related publications (148)
Smart Environments and Analytics on Video-Based Learning
The International Workshop of Smart Environments and Analytics on Video-Based Learning (SE@VBL) aims to connect research efforts on Video-Based Learning with Smart Environments and Analytics to create synergies between these fields. The main objective is t ...
Assoc Computing Machinery2016The brain strategy for online learning
Ali H. Sayed, Stefan Vlaski, Bicheng Ying
Complexity is a double-edged sword for learning algorithms when the number of available samples for training in relation to the dimension of the feature space is small. This is because simple models do not sufficiently capture the nuances of the data set, ...
IEEE2016On the influence of momentum acceleration on online learning
Ali H. Sayed, Bicheng Ying, Kun Yuan
This paper examines the convergence rate and mean-square-error performance of momentum stochastic gradient methods in the constant step-size and slow adaptation regime. The results establish that momentum methods are equivalent to the standard stochastic g ...
IEEE2016Shaping learners’ attention in Massive Open Online Courses
Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Himanshu Verma, Daniela Caballero Díaz
We present an eye-tracking study in the context of Massive Open Online Course (MOOC) videos. We propose to use a pre-test as a way of priming students about the video content before they watch the video. In this study, we used two versions of the same pre- ...
2016Robust Online Time Series Prediction with Recurrent Neural Networks
Time series forecasting for streaming data plays an important role in many real applications, ranging from IoT systems, cyber-networks, to industrial systems and healthcare. However the real data is often complicated with anomalies and change points, which ...
Ieee2016On the influence of momentum acceleration on online learning
Ali H. Sayed, Bicheng Ying, Kun Yuan
The article examines in some detail the convergence rate and mean-square-error performance of momentum stochastic gradient methods in the constant step-size and slow adaptation regime. The results establish that momentum methods are equivalent to the stand ...
2016Towards Predicting Success in MOOCs: Programming Assignments
Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma, Lukasz Kidzinski
Students of programming languages in massive on-line open courses (MOOCs) solve programming assignments in order to internalize the concepts. Programming assignments also constitute the assessment procedure for such courses. Depending on their motivation a ...
Books on Demand GmbH, Norderstedt2016Semiautomatic Annotation of MOOC Forum Posts
Pierre Dillenbourg, Lukasz Kidzinski, Weizhe Liu
Massive online open courses' (MOOCs') students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying factors. One of the reasons which hinders the analysis is the ...
Springer-Verlag Singapore Pte Ltd2016How employment constrains participation in MOOCs?
Pierre Dillenbourg, Lukasz Kidzinski, Mina Shirvani Boroujeni
Massive Open Online Courses (MOOCs) changed the way continuous education is perceived. Employees willing to progress their careers can take high quality courses. Students can develop skills outside curriculum. Studies show that most of the MOOC users are p ...
2016Peer Assessment Dataset
Denis Gillet, Adrian Christian Holzer, Andrii Vozniuk
Peer assessment is seen as a powerful supporting tool to achieve scalability in the evaluation of complex assignments in large courses, possibly virtual ones, as in the context of massive open online courses (MOOCs). However, the adoption of peer assessmen ...
2016