International Journal of Vocational Education and Training Research

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The Effect of Assessing Students Based on Their Class Work and Homework Performance on the Overall Academic Achievement of Students

Continuous assessment, mainly tests, and assignments, help students to actively engage in the learning process. However, these assessments have been the only type of assessment in most Ethiopian universities, and they affect the student’s academic performance from time to time. Therefore, this study aims to evaluate the effect of assessing students based on their class work and homework performance on the overall academic achievement of students. This study is conducted on 4th-year Environmental Engineering undergraduate students. The class contains 25 students of which 6 of them were female. In this study, both primary and secondary data were used. The primary data includes test results, observation, and interviews, and the secondary data was collected from reviewing different published articles. The overall achievement of the students was measured in terms of test results. The collected data was analyzed using Microsoft Excel 2016. The test results before the intervention indicate the average values of test 1 and test 2 were 5.96±1.57 and 5.56±1.76 respectively. It is also noted that there is no significant difference (P>0.05) between the two test results. Among the various factors, six major factors that significantly affect the student’s academic performance were identified through observations. Previous schooling, family income, student’s self-motivation, teacher’s delivery style, and assessment are the identified significant factor. The interview result was obtained before the application of the intervention. The result indicates that only 20% of the students are happy with the intervention and thinks that it will affect the improvement of their grade. The majority of the students (72%) are unhappy and think the opposite of the idea and the remaining 8% choose to be abstentious. After the implementation of the intervention, the student's grade improved for both test 1 (7.60±1.04) and test 2 (7.00±1.15). There is also a significant difference (P<0.05) between the student's test results before and after the intervention. It can be concluded that the intervention significantly improves the student's test scores, which in turn improves their overall performance. However, further research has to be conducted for enhancing the student's academic performance.

Classwork, Continuous Assessment, Homework, Intervention, Students Performance

APA Style

Solomon Tibebu, Estifanos Kassahun, Takele Sime, Abebaw Shibeshi. (2023). The Effect of Assessing Students Based on Their Class Work and Homework Performance on the Overall Academic Achievement of Students. International Journal of Vocational Education and Training Research, 9(2), 52-59.

ACS Style

Solomon Tibebu; Estifanos Kassahun; Takele Sime; Abebaw Shibeshi. The Effect of Assessing Students Based on Their Class Work and Homework Performance on the Overall Academic Achievement of Students. Int. J. Vocat. Educ. Train. Res. 2023, 9(2), 52-59. doi: 10.11648/j.ijvetr.20230902.14

AMA Style

Solomon Tibebu, Estifanos Kassahun, Takele Sime, Abebaw Shibeshi. The Effect of Assessing Students Based on Their Class Work and Homework Performance on the Overall Academic Achievement of Students. Int J Vocat Educ Train Res. 2023;9(2):52-59. doi: 10.11648/j.ijvetr.20230902.14

Copyright © 2023 Authors retain the copyright of this article.
This article 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.

1. Bhuiyan AAM (2019) Financing education: A route to the development of a country. J Educ Dev 7: 209–217.
2. Kumar MGV, N V, Čepová L, et al (2023) Evaluation of the Quality of Practical Teaching of Agricultural Higher Vocational Courses Based on BP Neural Network. Appl Sci 13: 1180.
3. Mok KH, Wu AM (2016) Higher education, changing labour market and social mobility in the era of massification in China. J Educ Work 29: 77–97.
4. Etzkowitz H (2002) Incubation of incubators: innovation as a triple helix of university-industry-government networks. Sci public policy 29: 115–128.
5. Skutnabb-Kangas T, Heugh K (2013) Implications for multilingual education: Student achievement in different models of education in Ethiopia. In: Multilingual Education and Sustainable Diversity Work. Routledge, pp 257–280.
6. Tedla BA (2012) Understanding the importance, impacts and barriers of ICT on teaching and learning in East African countries. Int J e-Learning Secur 2: 199–207.
7. Zwane SL, Malale MM (2018) Investigating barriers teachers face in the implementation of inclusive education in high schools in Gege branch, Swaziland. African J Disabil 7: 1–12.
8. Alam GM (2009) Can governance and regulatory control ensure private higher education as business or public goods in Bangladesh? African J Bus Manag 3: 890.
9. Dejene W (2019) The practice of modularized curriculum in higher education institution: Active learning and continuous assessment in focus. Cogent Educ 6: Research-Article.
10. Vahed A, Walters MM, Ross AHA (2023) Continuous assessment fit for purpose? Analysing the experiences of academics from a South African university of technology. Educ Inq 14: 267–283.
11. Simanjuntak JM, Heriyanto, Hasibuan N (2023) Continuous assessment of Peter Senge’s learning organization model for improving the quality of Christian higher education in Indonesia. Teach Theol Relig 26: 15–28.
12. Kirkpatrick R, Zang Y (2011) The negative influences of exam-oriented education on Chinese high school students: Backwash from classroom to child. Lang Test Asia 1: 36.
13. Yang R, May L (2023) Understanding and Implementing Learning-Oriented Assessment: Evidence From Three Chinese Junior High School EFL Teachers. Chinese J Appl Linguist 46: 308–325.
14. Liao SN, Valstar S, Thai K, et al (2019) Behaviors of higher and lower performing students in CS1. In: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education. pp 196–202.
15. Rönn C, Pettersson D (2023) Swedish students’ everyday school life and teachers’ assessment dilemmas: peer strategies for ameliorating schoolwork for assessment. Educ Assessment, Eval Account 35: 37–66.
16. Elbourhamy DM, Najmi AH, Elfeky AIM (2023) Students’ performance in interactive environments: an intelligent model. PeerJ Comput Sci 9: e1348.
17. Ouyang F, Wu M, Zheng L, et al (2023) Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. Int J Educ Technol High Educ 20: 1–23.
18. Chu S, Hwang G, Chien S, Chang S (2023) Incorporating teacher intelligence into digital games: An expert system-guided self-regulated learning approach to promoting EFL students’ performance in digital gaming contexts. Br J Educ Technol 54: 534–553.
19. Asratie MG, Wale BD, Aylet YT (2023) Effects of using educational technology tools to enhance EFL students’ speaking performance. Educ Inf Technol 1–21.
20. Härmä J (2013) Access or quality? Why do families living in slums choose low-cost private schools in Lagos, Nigeria? Oxford Rev Educ 39: 548–566.
21. Crawfurd L, Hares S (2021) The impact of private schools, school chains, and public-private partnerships in developing countries. Center for Global Development.
22. Renth BA, Buckley P, Puchner L (2015) Academic Performance Gaps and Family Income in a Rural Elementary School: Perceptions of Low-Income Parents. Educ Leadersh Rev Dr Res 2: 70–84.
23. Adzido RYN, Dzogbede OE, Ahiave E, Dorkpah OK (2016) Assessment of family income on academic performance of tertiary students: The case of Ho Polytechnic, Ghana. Int J Acad Res Accounting, Financ Manag Sci 6: 154–169.
24. Leidenfrost B, Strassnig B, Schütz M, et al (2014) The Impact of Peer Mentoring on Mentee Academic Performance: Is Any Mentoring Style Better than No Mentoring at All?. Int J Teach Learn High Educ 26: 102–111.
25. Han H-C (2015) Gamified pedagogy: From gaming theory to creating a self-motivated learning environment in studio art. Stud Art Educ 56: 257–267.
26. Stronge JH, Ward TJ, Grant LW (2011) What makes good teachers good? A Cross-Case Analysis of the Connection Between Teacher Effectiveness and Student Achievement. Journal of Teacher Education 62 (4): 339-355.
27. Liberante L (2012) The importance of teacher–student relationships, as explored through the lens of the NSW Quality Teaching Model. J student Engagem Educ matters 2: 2–9.
28. Dawadi S (2020) High-stakes test impact on student motivation to learn. Eur J Educ Soc Sci 5: 59–71.
29. Coutts PM (2004) Meanings of homework and implications for practice. Theory Pract 43: 182–188.