This study is a representation of the computer-assisted learning (CALL) platforms

used by Universiti Teknologi MARA for the teaching and learning process during the novel

coronavirus illness outbreak starting in 2020. The goal of this paper is to examine how

various computer-assisted learning environments affect students' performance, with a focus

on which of the platforms would provide the best learning environment for students in terms

of their ability to perform well on assessments in the face of the Covid-19 pandemic. The

study was done to investigate four platforms for learning: Telegram micro-teaching, Google

Meet online meetings, reading slide presentations, and recorded narrative video

presentations. The report uses a quantitative way to examine how various online learning

platforms affect students' performance, and it focused on how the assessment procedure was

applied throughout the lockout. This paper's contribution is to paint a picture of computerassisted learning strategies used during the Covid-19 pandemic, as well as which learning

platform is best for teaching and learning and how it affects student performance differently.

The findings of a survey of four groups of students taking Discrete Structure demonstrate

that the platforms used for teaching and learning have a substantial impact on students' test

scores and that narrative recorded video is preferred over alternative learning platforms.