Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

Evaluation of Informatization Teaching Effect by SPSS Under the Background of “Internet+” Big Data

Authors
Shu Tang1, JinFu Yao2, Le Chen3, *
1School of Basic Medicine, Shaoyang University, 18 Baoqing West Road, Shaoyang, China
2School of Clinical Medicine, Shaoyang University, 18 Baoqing West Road, Shaoyang, China
3School of Nursing, Xiangnan University, 889 Chenzhou Avenue, Chenzhou, China
*Corresponding author. Email: 155076837@qq.com
Corresponding Author
Le Chen
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_45How to use a DOI?
Keywords
Informatization teaching; Traditional Teaching; “Internet+” Big Data; Evaluation; SPSS; Preventive medicine
Abstract

Objective: To explore the application effect of the informatization teaching mode based on the background of “Internet+” big data preventive medicine. Methods: For 436 third-year students of the 2017 five-year clinical medicine undergraduate major, traditional teaching was adopted as the control group; A total of 436 third-year students of the 2018 five-year clinical medicine undergraduate major were selected for informatization teaching as the experimental group. After the course, through questionnaires and final exam results, using SPSS software, to investigate the learning situation, teaching situation and teaching effect, and compare the course completion scores, course participation, knowledge explanation thoroughness, and classroom binding force of the two groups of students, the strength of answering questions. Results: The experimental group had less extracurricular learning time than the control group, higher degree of participation in the course and clarity of knowledge explanation than the control group, but lower class binding force and no significant difference in problem solving between the two groups. At the same time, the final completion test scores are significantly higher than those of the control group, and the difference is statistically significant. Conclusion: Informatization teaching is very helpful to improve teaching quality. In the future, we should improve and enrich online learning resources, and increase students’ enthusiasm and constraint for online learning. Meanwhile, we should combine the advantages of traditional teaching and informatization teaching to improve the effect of informatization teaching.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
978-94-6463-034-3
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_45How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Shu Tang
AU  - JinFu Yao
AU  - Le Chen
PY  - 2022
DA  - 2022/12/23
TI  - Evaluation of Informatization Teaching Effect by SPSS Under the Background of “Internet+” Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 435
EP  - 441
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_45
DO  - 10.2991/978-94-6463-034-3_45
ID  - Tang2022
ER  -