ONLINE LEARNING IN HIGHER INSTITUTION EDUCATION DURING COVID-19: ENHANCING POLISAS STUDENTS’ PERFORMANCE IN CALCULUS THROUGH CONCEPTUAL KNOWLEDGE

Yamikazam, Nurfateha (2021) ONLINE LEARNING IN HIGHER INSTITUTION EDUCATION DURING COVID-19: ENHANCING POLISAS STUDENTS’ PERFORMANCE IN CALCULUS THROUGH CONCEPTUAL KNOWLEDGE. Masters thesis, Universiti Malaysia Pahang.

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Abstract

Students should have a high level of conceptual knowledge in mathematics, especially when learning through online learning. Conceptual knowledge is learning that includes the creation of ideas that aim to help students understand the concept of mathematics better and play an important role in raising and deepening awareness of learning methods for students. Conceptual knowledge allows students to distinguish from a given question, insert symbols, and produce examples. The purpose of this study is to examine the effect of conceptual knowledge on student achievement in Calculus taught through online learning. A statistical model of student performance in calculus using regression method is developed, which considering students' attitudes towards Calculus learning through online learning, the availability of support for online learning, and infrastructure facilities for online learning as the variables. In this paper, both method used, the classical regression method, which includes the forward and backward selection (Stepwise), and the machine learning approach. The data were collected from a group of students from Sultan Haji Ahmad Shah Polytechnic (POLISAS) who majored in engineering, and questionnaire are used as an instrument of the study. The questionnaire is adapted from literature and has been divided into five parts which is demographic, perception of conceptual knowledge, students’ attitude toward learning Calculus through online learning, availability of support toward online learning, and accessibility of infrastructure toward online learning. Then, the students' final examination grades are used as a measure of the student performance. This study revealed that the conceptual knowledge and students’ attitude were statistically significant in predicting the students’ performance in Calculus using forward and backward selection methods. Then, the significant variables are considered in the machine learning approach. The model developed can be illustrated and predicted students’ performance based on their conceptual knowledge. The model can be used as a guide to help educators improve student mathematics performance, specifically for the POLISAS students. In conclusion, conceptual knowledge and students’ attitude are important as a high level of mathematical thinking is required to ensure students’ performance in Calculus subject.

Item Type:	Thesis (Masters)
Subjects:	Science > Mathematics
Divisions:	Universiti > Universiti Malaysia Pahang (UMP)
Depositing User:	ENCIK SAIFUL FADZLY JAMALUDIN
Date Deposited:	22 Jun 2026 16:42
Last Modified:	22 Jun 2026 16:42
URI:	https://repositori.mohe.gov.my/id/eprint/278

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