Trusting the explainers: teacher validation of explainable artificial intelligence for course design

V Swamy, S Du, M Marras, T Kaser - LAK23: 13th International Learning …, 2023 - dl.acm.org
Deep learning models for learning analytics have become increasingly popular over the last
few years; however, these approaches are still not widely adopted in real-world settings …

Ripple: Concept-based interpretation for raw time series models in education

M Asadi, V Swamy, J Frej, J Vignoud… - Proceedings of the …, 2023 - ojs.aaai.org
Time series is the most prevalent form of input data for educational prediction tasks. The vast
majority of research using time series data focuses on hand-crafted features, designed by …

Can feature predictive power generalize? benchmarking early predictors of student success across flipped and online courses

M Marras, JTT Vignoud, T Kaser - Proceedings of the 14th International …, 2021 - iris.unica.it
Early predictors of student success are becoming a key tool in flipped and online courses to
ensure that no student is left behind along course activities. However, with an increased …

Meta transfer learning for early success prediction in MOOCs

V Swamy, M Marras, T Käser - Proceedings of the ninth ACM conference …, 2022 - dl.acm.org
Despite the increasing popularity of massive open online courses (MOOCs), many suffer
from high dropout and low success rates. Early prediction of student success for targeted …

A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

E Navarrete, A Nehring, S Schanze, R Ewerth… - arXiv preprint arXiv …, 2023 - arxiv.org
People increasingly use videos on the Web as a source for learning. To support this way of
learning, researchers and developers are continuously developing tools, proposing …

Early prediction of success in MOOC from video interaction features

B Mbouzao, MC Desmarais, I Shrier - International Conference on Artificial …, 2020 - Springer
The popularity of online learning, such as MOOCs (Massive Open Online Courses),
continues to increase among students. However, MOOCs dropout remains high. Prediction …

Analyzing learners engagement in a micromasters program compared to non-degree MOOC

F Soleimani, J Lee, M Yilmaz Soylu - Journal of Research on …, 2024 - Taylor & Francis
This study aimed to understand the relationship between course activities and learning
progress among students enrolled in the MicroMasters certificate program offered in an …

Methodology of Measure of Similarity in Student Video Sequence of Interaction in MOOC

B Mbouzao - 2024 - aisel.aisnet.org
MOOCs make extensive use of videos. Students interact with them by pausing, seeking
forward or backward, replaying segments, etc. We can reasonably assume that students …

Student Performance Prediction in MOOC using Students' Video Interaction Analysis.

B Mbouzao - 2024 - aisel.aisnet.org
Abstract In contemporary MOOC (Massive Open Online Courses), videos take a central role
in delivering course content. The analysis of how students interact with these videos …

E-LEARNING-A TOOL FOR EXPLOITATION OF TEXTILE TENSILE TESTING MACHINE.

MS FOGORASI, A KOMJATI… - … & Software for …, 2020 - search.ebscohost.com
Nowadays, all the more we witness to a rapid technological development and the
entanglement of information technology in the formation and maintenance of human …