Research Article
Pre-Recommend or Post-Recommend? A Study on the Design of the Recommender System for Aesthetic Education
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329083, author={Baoqing Song and Yilin Dai and Hanchao Zhang and Gongxin Jiang and Junyan Chen and Yunji Cai and Jun Wu}, title={Pre-Recommend or Post-Recommend? A Study on the Design of the Recommender System for Aesthetic Education}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={ml recommender system ers aesthetic education higher education sor}, doi={10.4108/eai.23-12-2022.2329083} }- Baoqing Song
Yilin Dai
Hanchao Zhang
Gongxin Jiang
Junyan Chen
Yunji Cai
Jun Wu
Year: 2023
Pre-Recommend or Post-Recommend? A Study on the Design of the Recommender System for Aesthetic Education
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329083
Abstract
This paper describes a user's feature found during the design of the aesthetic education recommendation system, namely, Changes in students' (N=873) needs for art education information after a short time (1 hour) in an online art appreciation course offered by the authors. The change indicates that an increase in user demand for the knowledge of the art being recommended. At the same time, the correlation between users' satisfaction with artworks and their demand for recommended art information increase, including art history (0.22), performance information (0.22), famous artists and artworks (0.2), and information about similar art disciplines (0.18). Based on this phenomenon, conclusion points out that the educational recommender system should take into account the rapid changes of students' demand for recommended content.