Adjusting and Designing Assessments in Reducing the Negative Impact of the Artificial Intelligence:A Proposed Study of ChatGPT Usage in Introductory Java Programming Course

Abstract

Artificial intelligence (AI) plays a significant role in both teaching and learning, particularly in computer science courses.Educators are growing interest and concern about artificial intelligence tools like AI-powered chatbots.One of the serious concerns in the academic institution is cheating and weakening students' critical thinking abilities by using AI generated chatbots.This theoretical research proposes to investigate these issues by examining how students use AI-generated technology in assessments and how it affects their learning process.Particularly, this study aims to assess how AI impacts students' computational thinking and determine how technology impacts learning outcomes in computer science courses.The study will aid to create more efficient assessment by gathering and analyzing data from student interactions with AI during assessments.For this proposed research students will be recruited for the study from an introductory computer science course.Through a well-structured methodology involving pre-assessments, AI interaction, and post-assessments, this research intends to provide valuable data that can inform educational practices.This study aims to identify key challenges, such as potential cheating and diminished learning outcomes, while also exploring how AI can be ethically integrated into computer science education.The proposed findings will guide the redesign of assessments to mitigate risks while harnessing AI's benefits, ultimately providing educators with a framework to improve student assessment in an AI-enhanced academic environment.

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