Performance trends in continuous assessments: a case study of engineering students in a statistics course

This case study describes and compares the academic performance of engineering students enrolled in the Statistics for Science and Engineering course, focusing on three formative assessments: a quiz, a group assignment, and a test. A total of 43 students from Mechanical, Electrical, and Chemical Engineering programs participated, representing academic semesters from Semester 5 to Semester 9. Descriptive statistics were used to analyse score distributions and identify performance patterns across programs and assessment types. The findings show variations in achievement, with Mechanical Engineering students generally outperforming others. These results highlight the need for targeted teaching approaches based on program-specific learning needs. In conclusion, understanding performance trends can help educators enhance assessment design and support student learning more effectively.

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Publication Details

Journal
UiTM Institutional Repositories (Universiti Teknologi MARA)
Published
2025-09-01
Primary Topic
Student Assessment and Feedback
Type
article
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article

Performance trends in continuous assessments: a case study of engineering students in a statistics course

Fadzilawani Astifar Alias, Siti Balqis Mahlan, Muniroh Hamat, Maisurah Shamsuddin
UiTM Institutional Repositories (Universiti Teknologi MARA)
Student Assessment and Feedback
article

Performance trends in continuous assessments: a case study of engineering students in a statistics course

Fadzilawani Astifar Alias, Siti Balqis Mahlan, Muniroh Hamat, Maisurah Shamsuddin
article en

Abstract

This case study describes and compares the academic performance of engineering students enrolled in the Statistics for Science and Engineering course, focusing on three formative assessments: a quiz, a group assignment, and a test. A total of 43 students from Mechanical, Electrical, and Chemical Engineering programs participated, representing academic semesters from Semester 5 to Semester 9. Descriptive statistics were used to analyse score distributions and identify performance patterns across programs and assessment types. The findings show variations in achievement, with Mechanical Engineering students generally outperforming others. These results highlight the need for targeted teaching approaches based on program-specific learning needs. In conclusion, understanding performance trends can help educators enhance assessment design and support student learning more effectively.

UiTM Institutional Repositories (Universiti Teknologi MARA)
Quality Education
Openalex Percentile: Top 7%
Student Assessment and Feedback
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