Application of Superstar Learning Platform in Pharmacology Teaching

DOI

10.2991/icmete-19.2019.123How to use a DOI?

Keywords

Pharmacology; Pharmacy; Superstar; Theory teaching

Abstract

This paper is to explore the application effect of classroom teaching mode based on Learning Tong software in pharmacology teaching of pharmacy. 89 students in 2016 pharmacy classes of our university were randomly divided into experimental group and control group. The experimental group applied the Learning Tong-assisted teaching mode, while the control group applied the traditional teaching mode. At the end of the course, the test scores of students in two groups were compared, and the effects of experimental teaching were investigated through questionnaires, and the satisfaction of the students on the new teaching mode was compared. Result showed that test scores and teaching effect evaluation of the students in the experimental group were significantly higher than those in control group (P < 0.05). Questionnaire results showed that the students in the experimental group generally think that the teaching mode was better in improving self-study ability and stimulating learning interest than traditional teaching mode, and their satisfaction is high. Learning Tong teaching mode can better mobilize students’ initiative in autonomous learning, and has better teaching effect than traditional teaching mode in pharmacology teaching.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin Wang
AU  - Weiwei Bian
AU  - Wanzhong Li
AU  - Meihua Qu
AU  - Yanna Lv
AU  - Chunzhen Zhao
PY  - 2019/05
DA  - 2019/05
TI  - Application of Superstar Learning Platform in Pharmacology Teaching
BT  - Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)
PB  - Atlantis Press
SP  - 519
EP  - 522
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmete-19.2019.123
DO  - 10.2991/icmete-19.2019.123
ID  - Wang2019/05
ER  -