Predicting learner's performance through video sequences viewing behavior analysis using educational data-mining

Clicks: 173
ID: 274642
2021
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
This paper analyzes how learners interact with the pedagogical sequences of educational videos, and its effect on their performance. In this study, the suggested video courses are segmented on several pedagogical sequences. In fact, we're not focusing on the type of clicks made by learners, but we'r …
Reference Key
h2021educationpredicting Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors El Aouifi H;El Hajji M;Es-Saady Y;Douzi H;;
Journal Education and information technologies
Year 2021
DOI
DOI not found
URL
https://www.pubmed.gov/?cmd=Search&term=Youssef%20Es-Saady
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:33967589 pmc8092756 doi:10.1007/s10639-021-10512-4 houssam el aouifi mohamed el hajji hassan douzi

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.