A Web-Based Intelligent Physics Tutor

Hii, Catherine Seng Jing (2020) A Web-Based Intelligent Physics Tutor. [Final Year Project Report] (Unpublished)

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Abstract

This study is concerned about the Question Answering (QA) system in the field of Physic science. QA system is a computational science discipline within the fields of natural language processing (NLP) and information retrieval, which is concerned with building a system that does not just automatically answer questions posed by humans in natural languages, but also adapt to the asking questions thus generating better result on every search. Without a doubt, QA system can help students to work at their own pace, while having the ability to impact education through the application of greater levels of individualized learning, not to mention that educational software can also be adapted to student needs. Besides, students may get additional support from online intelligent tutor. In comparison, human tutor can eliminate any language or communication barrier that is often seen in machine learning. Educational programs powered by online intelligent tutor may replace teachers for some extends, it can alter higher education level and offer unprecedented solutions in hoping to improve the learning capability. Hence, the aim of this paper is to describe and demonstrate the development of a web-based intelligent Physics tutor to help Malaysia secondary school’s students in learning basic skills anywhere at any time. The methodology chosen to use in this study is the rapid prototyping methodology (RAD).

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