Home > Archive > 2019 > Volume 9 Number 12 (Dec. 2019) >
IJIET 2019 Vol.9(12): 849-853 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.12.1316

A Statistical Study of the Impact of Active Learning on Students’ Learning Attitudes toward Physics Based on the CLASS-Phys Survey

Xin Gao

Abstract—In this study, the well-known Colorado Leaning Attitudes about Science Survey (CLASS) instrument was used to assess the effectiveness of the Active Learning teaching method. The survey results show Active Learning manifestly improved students’ learning attitudes toward physics. ANOVA tests were further conducted to study the statistical significance of those differences. The tests show that in the class taught using Active Learning method, the differences before and after taking the course are statistically significant at a 0.05 level of significance. However, the differences between the traditional and Active Learning teaching methods are not always as statistically significant as expected at a 0.05 level of significance. The high diversity in students’ academic backgrounds at LaGuardia Community College is considered to be the main reason explaining this outcome because ANOVA tests compare the variances within and among the groups. The high diversity within the groups may have dwarfed the variance among the groups.

Index Terms—Undergraduate physics education, ANOVA test, CLASS-Phys survey, active-teaching/learning.

Xin Gao is with the Natural Sciences Department of LaGuardia Community College of The City University of New York (CUNY), Long Island City, NY 11101, USA (e-mail: Xgao@lagcc.cuny.edu).

[PDF]

Cite: Xin Gao, "A Statistical Study of the Impact of Active Learning on Students’ Learning Attitudes toward Physics Based on the CLASS-Phys Survey," International Journal of Information and Education Technology vol. 9, no. 12, pp. 849-853, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

Article Metrics in Dimensions