Predicting Knowledge Gain for MOOC Video Consumption
C. Otto, M. Stamatakis, A. Hoppe, and R. Ewerth. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II, volume 13356 of Lecture Notes in Computer Science, page 458--462. Springer, (2022)
DOI: 10.1007/978-3-031-11647-6\_92
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II
%0 Conference Paper
%1 DBLP:conf/aied/OttoSHE22
%A Otto, Christian
%A Stamatakis, Markos
%A Hoppe, Anett
%A Ewerth, Ralph
%B Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II
%D 2022
%E Rodrigo, Maria Mercedes T.
%E Matsuda, Noburu
%E Cristea, Alexandra I.
%E Dimitrova, Vania
%I Springer
%K MOOC knowledge_gain myown search_as_learning
%P 458--462
%R 10.1007/978-3-031-11647-6\_92
%T Predicting Knowledge Gain for MOOC Video Consumption
%U https://doi.org/10.1007/978-3-031-11647-6\_92
%V 13356
@inproceedings{DBLP:conf/aied/OttoSHE22,
added-at = {2022-11-07T15:42:30.000+0100},
author = {Otto, Christian and Stamatakis, Markos and Hoppe, Anett and Ewerth, Ralph},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://www.bibsonomy.org/bibtex/225eee2dba798a96ec6dd639b3c0bbf7d/ewerth},
booktitle = {Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, {AIED} 2022, Durham, UK, July 27-31, 2022, Proceedings, Part {II}},
doi = {10.1007/978-3-031-11647-6\_92},
editor = {Rodrigo, Maria Mercedes T. and Matsuda, Noburu and Cristea, Alexandra I. and Dimitrova, Vania},
interhash = {7e566d0e0f421ba4c9d154f7e9977516},
intrahash = {25eee2dba798a96ec6dd639b3c0bbf7d},
keywords = {MOOC knowledge_gain myown search_as_learning},
pages = {458--462},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2022-11-07T15:43:24.000+0100},
title = {Predicting Knowledge Gain for MOOC Video Consumption},
url = {https://doi.org/10.1007/978-3-031-11647-6\_92},
volume = 13356,
year = 2022
}