Prerequisite Graph Extraction from Lectures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ABS8MU3TQ" target="_blank" >RIV/00216208:11320/22:BS8MU3TQ - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-11647-6_128" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-11647-6_128</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-11647-6_128" target="_blank" >10.1007/978-3-031-11647-6_128</a>
Alternative languages
Result language
angličtina
Original language name
Prerequisite Graph Extraction from Lectures
Original language description
The proliferation of video-sharing platforms and MOOCs has raised new challenges in the field of education. A challenging topic that is gaining an increased popularity is the identification of prerequisite relations between concepts in video lectures. In this paper, we propose unsupervised methods for prerequisite identification and the creation of a prerequisite graph. The contribution, compared to existing approaches, is the development of methods which (i) do not rely on external knowledge, (ii) do not require extensive training, and (iii) are intended to exploit both the lecture transcript and its visual features. Results from the preliminary evaluation are encouraging, and provide insights on the extraction of prerequisite relations from video transcripts compared to textbooks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium
ISBN
978-3-031-11647-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
616-619
Publisher name
Springer International Publishing
Place of publication
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Event location
Cham
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000877459600127