Azcona, David 
ORCID: 0000-0003-3693-7906, Hsiao, I-Han ORCID: 0000-0002-1888-3951 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389
(2018)
Modelling math learning on an open access intelligent tutor.
In: The 19th International Conference on Artificial Intelligence in Education, June 27 - 30, 2018, London, UK.
ISBN 978-3-319-93846-2
Full text available as:
|
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
149kB |
Abstract
This paper presents a methodology to analyze large amount of students’ learning states on two math courses offered by Global Fresh- man Academy program at Arizona State University. These two courses utilised ALEKS (Assessment and Learning in Knowledge Spaces) Arti- ficial Intelligence technology to facilitate massive open online learning. We explore social network analysis and unsupervised learning approaches (such as probabilistic graphical models) on these type of Intelligent Tu- toring Systems to examine the potential of the embedding representa- tions on students learning.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Event Type: | Conference |
| Refereed: | No |
| Uncontrolled Keywords: | Machine Learning; Intelligent Tutoring Systems; Social Network Analysis; MOOC |
| Subjects: | Social Sciences > Education Computer Science > Artificial intelligence Social Sciences > Educational technology |
| DCU Faculties and Centres: | Research Initiatives and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Published in: | Artificial Intelligence in Education. Lecture Notes in Computer Science 10948. Springer International Publishing. ISBN 978-3-319-93846-2 |
| Publisher: | Springer International Publishing |
| Official URL: | https://doi.org/10.1007/978-3-319-93846-2_7 |
| Copyright Information: | © 2018 Springer. The original publication is available at www.springerlink.com |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Irish Research Councile Irish Research Council with the National Forum for the Enhancement of Teaching and Learning in Ireland project no. GOIPG/2015/3497, Science Foundation Ireland grant SFI/12/RC/2289, Fulbright Ireland |
| ID Code: | 22448 |
| Deposited On: | 03 Jul 2018 12:14 by David Azcona . Last Modified 11 Feb 2019 14:50 |
Downloads
Downloads per month over past year
Archive Staff Only: edit this record
Altmetric
Altmetric