loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shuai Wang 1 ; Claire Christensen 1 ; Elizabeth McBride 1 ; Hannah Kelly 1 ; Wei Cui 2 ; Richard Tong 2 ; Linda Shear 1 ; Louise Yarnall 1 and Mingyu Feng 3

Affiliations: 1 SRI Education, SRI International, 1100 Wilson Blvd., Suite 2800, Arlington, VA 22209, U.S.A. ; 2 Squirrel AI Learning by Yixue Education Group, 39 Hongcao Road, Shanghai, China ; 3 WestEd, 730 Harrison Street, San Francisco, California 94107, U.S.A.

Keyword(s): Adaptive Learning, Algorithms, Artificial Intelligence, Efficacy Studies, Literature Review.

Abstract: Adaptive learning systems have become increasingly common across age groups and content areas. Many adaptive learning systems personalize the learning experience based on students’ prior knowledge, preferences, learner profile, system usage, learning style, and/or learning perceptions. In addition, various learning algorithms have been developed over the years, such as item response theories, Markov modelling, recurrent neural networks, and Bayesian knowledge tracing (BKT). Although western countries have generated numerous efficacy studies, Chinese adaptive education is in its earliest stage, with few efficacy studies conducted in this context, which is a gap in this field. This position paper describes one Chinese adaptive learning system, Squirrel AI Learning, and invites further research on adaptive learning systems in China and other Asian countries.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.226.141.207

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Wang, S.; Christensen, C.; McBride, E.; Kelly, H.; Cui, W.; Tong, R.; Shear, L.; Yarnall, L. and Feng, M. (2020). Identifying Gaps in Use of and Research on Adaptive Learning Systems. In Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-417-6; ISSN 2184-5026, SciTePress, pages 118-124. DOI: 10.5220/0009590701180124

@conference{csedu20,
author={Shuai Wang. and Claire Christensen. and Elizabeth McBride. and Hannah Kelly. and Wei Cui. and Richard Tong. and Linda Shear. and Louise Yarnall. and Mingyu Feng.},
title={Identifying Gaps in Use of and Research on Adaptive Learning Systems},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2020},
pages={118-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009590701180124},
isbn={978-989-758-417-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Identifying Gaps in Use of and Research on Adaptive Learning Systems
SN - 978-989-758-417-6
IS - 2184-5026
AU - Wang, S.
AU - Christensen, C.
AU - McBride, E.
AU - Kelly, H.
AU - Cui, W.
AU - Tong, R.
AU - Shear, L.
AU - Yarnall, L.
AU - Feng, M.
PY - 2020
SP - 118
EP - 124
DO - 10.5220/0009590701180124
PB - SciTePress