Design Principles of The Educational Recommendation System in Higher Education

被引：0

作者：

Keum, SunYoung ^{[1
]}

Han, Ye Jin ^{[1
]}

Park, So Mi ^{[1
]}

Jang, Jin Ho ^{[1
]}

Cho, Young Hoan ^{[1
]}

机构：

[1] Seoul Natl Univ, Seoul, South Korea

来源：

30TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION, ICCE 2022, VOL 2 | 2022年

关键词：

Artificial intelligence; personalized learning; recommendation system; higher education;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The purpose of this study is to identify the needs of instructors and learners for an educational recommendation system (ERS) and develop the design principles of the ERS. We interviewed 17 learners and 4 instructors and surveyed 600 learners in a university. Based on the interviews and surveys, we created an ERS framework and proposed five design principles for educationally desirable recommendations of courses. This study implies that the ERS should be different from recommendation systems for business because the ERS should be responsive to the educational needs of learners as well as their preferences.

引用

页码：690 / 692

页数：3

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