Back to Journals » Psychology Research and Behavior Management » Volume 17

Exploring the Mediation Effect of Academic Self-Efficacy on Academic Procrastination, Performance, and Satisfaction [Response to Letter]

Authors Tian Q , Mustapha SM, Min J

Received 9 December 2024

Accepted for publication 9 December 2024

Published 16 December 2024 Volume 2024:17 Pages 4313—4314

DOI https://doi.org/10.2147/PRBM.S511145



Qi Tian,1 Siti Maziha Mustapha,2 Jie Min3

1Foreign Language School, Jingchu University of Technology, Jingmen, Hubei, People’s Republic of China; 2Faculty of Business, Information & Human Science, Infrastructure University Kuala Lumpur, Kajang, Selangor, Malaysia; 3School of Education, University of Glasgow, Glasgow, UK

Correspondence: Qi Tian, Foreign Language School, Jingchu University of Technology, No. 33 Xiangshan Road, Dongbao District, Jingmen City, Hubei Province, 448000, People’s Republic of China, Tel +86 13774059816, Email [email protected]


View the original paper by Dr Tian and colleagues

This is in response to the Letter to the Editor


Dear editor

We thank Bayu Prasetio et al for their interest in our study and their comments. Overall, we fully agree with their consideration of our study, which will allow our study to be the beginning of a series of studies on academic satisfaction that will benefit policymakers, universities, educators, and students. Likewise, we have certain considerations in this study that we now share in response to the comments.

Firstly, the technology universities in this study referred to full-time higher education institutions, including comprehensive polytechnics and specialty polytechnics, according to the catalogue of disciplines and specialties of higher education in China, which are graded according to the disciplines and have distinctive strengths in engineering or technology disciplines.1 It does not need to address the role of technology since these universities are just common universities just features in engineering or technology disciplines. The use of technology, which may affect self-efficacy, performance, and satisfaction is not the main purpose of the recent study, but it makes good suggestions for our next, more in-depth research.

Second, as we all know, the Grade Point Average (GPA) is a widely used metric in educational settings to quantify a student’s academic performance2 which has many advantages, especially when compared to other dimensions such as practical skills, class participation, or collaborative projects. The reasons are as follows, first, GPA provides a consistent standardized measure that is consistently understood and computed across multiple academic organizations.3 As a result, academic performance can be scored in equivalent or uniform terms, notwithstanding differences in teaching methods, course content, or institutional grading policies.4,5 Since the 22 technology universities in our research have been divided into three tiers according to their admission batch, GPA could offer a standard metric for measuring students from different universities. Second, GPA is primarily based on objective assessments like exams, and standardized assignments, which can minimize the subjectivity from other measurements, such as class participation or collaborative projects, which may be influenced by subjective judgments and varying evaluation criteria.6,7 The focus on objective assessments like standardized tests ensures that the academic performance measured through GPA is consistent and reduces variability caused by less objective measures such as peer evaluations or collaborative project assessments.8,9 Third, GPA is an aggregation of multiple academic components, which provides a holistic view of a student’s academic abilities and performance over a specific period (academic year),10 especially when considering academic procrastination as a factor to influences students’ performance and learning experience.11 Last but not least, researches12,13 have shown that GPA is a strong predictor of various academic behaviors and outcomes, including academic self-efficacy, procrastination tendencies, and overall academic satisfaction. This ability to correlate with such aspects makes it a viable and valuable measurement in studies relating to the relationship between self-efficacy and academic behaviour.14,15

Further, as a response to comment 3, we appreciate the insight that using a longitudinal research design will bring higher value to understanding the cause-and-effect relationships among academic self-efficacy, procrastination, performance, and satisfaction. Indeed, across time, where changes in one variable can be correlated with changes in others, this approach could demonstrate a causal chain of events. That’s part of our next ongoing study on the dynamic factors influencing academic satisfaction.

At last, we accept the proposition of integrating qualitative methods – for instance, interviews or direct observations – in future studies. These approaches are effective in collecting this voluminous, multi-dimensional information, which goes beyond the understanding of the students and self-efficacy and satisfaction at academic level that is only numerical.

All in all, thank you very much for the suggestions. We are willing to consider these considerations in our future study to expand the research on academic procrastination, academic performance, academic self-efficacy, and satisfaction.

Disclosure

The authors report no conflicts of interest in this communication.

References

1. Liu H, Jiang Y. Technology Transfer from Higher Education Institutions to Industry in China Nature and Implications. Technovation. 2001;21:175–188. doi:10.1016/S0166-4972(00)00045-6

2. Tomkin JH, West M, Herman GL. An Improved Grade Point Average, with Applications to CS Undergraduate Education Analytics. ACM Trans Comput Educ. 2018;18(4):1–16. doi:10.1145/3157086

3. Beatty AS, Walmsley PT, Sackett PR, et al. The Reliability of College Grades. Educ Meas: Issues and Prac. 2015;34(4):31–40. doi:10.1111/emip.12096

4. Mehrens WA, Rogers BG. Relations between Grade Point Averages and Collegiate Course Grade Distributions. J Educ Res. 1970;64(4):169–171. doi:10.1080/00220671.1970.10884129

5. Holicza B, Kiss A. Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms. Behav Sci. 2023;13(4):289. doi:10.3390/bs13040289

6. Lei PW, Bassiri D, Schulz EM. A Comparative Evaluation of Methods of Adjusting GPA for Differences in Grade Assignment Practices. J Appl Meas. 2003;4(1):70–86. PMID: 12700432.

7. Stricker LJ, Rock DA, Burton NW, et al. Adjusting College Grade Point Average Criteria for Variations in Grading Standards: A Comparison of Methods. J Appl Psychol. 1994;79(2):178–183. doi:10.1037/0021-9010.79.2.178

8. LeJeune N. Assessment of Individuals on CS Group Projects. J Comput Sci Coll. 2006;22:231–237.

9. Young JW. Adjusting the Cumulative GPA Using Item Response Theory. J Educ Meas. 1990;27(2):175–186. doi:10.1111/J.1745-3984.1990.TB00741.X

10. Schoenfeldt LF, Brush DH. Patterns of College Grades Across Curricular aAreas: Some Implications for GPA as A Criterion. Amer Educ Res J. 1975;12(3):313–321. doi:10.3102/00028312012003313

11. Suryawan AD, Putra E. Analysis of Determining Factors for Successful Student’s GPA Achievement. In 2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS) (pp. 1-7). 2016;IEEE. doi:10.1109/KICSS.2016.7951403.

12. Saxena MK, Sharma A. Assessment of Self-Efficacy and Academic Performance of Medical Students. Int J Community Med Public Health. 2020;7(6):2169–2172. doi:10.18203/2394-6040.ijcmph20202505

13. Bahçekapılı E, Karaman S. A Path Analysis of Five-factor Personality Traits, Self-Efficacy, Academic Locus of Control and Academic Achievement among Online Students. Knowl Manag E Learn. 2020;12:191–208. doi:10.34105/j.kmel.2020.12.010

14. Bozgün K, Baytemir K. Academic Self-Efficacy and Dispositional Hope as Predictors of Academic Procrastination: The Mediating Effect of Academic Intrinsic Motivation. Participatory Educ Res. 2021;9(3):296–314. doi:10.17275/per.22.67.9.3

15. Doménech-Betoret F, Abellán-Roselló L, Gómez-Artiga A. Self-Efficacy, Satisfaction, and Academic Achievement: The Mediator Role of Students’ Expectancy-value Beliefs. Front Psychol. 2017;8:1193. doi:10.3389/fpsyg.2017.01193

Creative Commons License © 2024 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, 3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.