Disciplines

Computer and Systems Architecture | Education

Abstract (300 words maximum)

Educators today often work with students who are struggling academically, but limited time and resources make it difficult to uncover the root causes and provide timely assistance. Artificial intelligence (AI) is a growing, viable tool for analyzing large datasets and solving problems in different domains; however, human expertise is required to enhance the AI model’s performance. This study will utilize human-AI teaming to assess student performance based on factors such as their academic involvement, hours spent studying, and grade-point-average, among others. These findings will help instructors better grasp each student's academic needs. By incorporating humans into the AI pipeline, we aim to build trust and also mitigate bias. Moreover, this study aims to provide a system that can bridge the gap between student struggles and instructional methods, ultimately fostering a more adaptive and supportive learning environment.

Academic department under which the project should be listed

CCSE - Computer Science

Primary Investigator (PI) Name

Md Abdullah Al Hafiz Khan

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Human-AI Teaming for Academic Performance Analysis

Educators today often work with students who are struggling academically, but limited time and resources make it difficult to uncover the root causes and provide timely assistance. Artificial intelligence (AI) is a growing, viable tool for analyzing large datasets and solving problems in different domains; however, human expertise is required to enhance the AI model’s performance. This study will utilize human-AI teaming to assess student performance based on factors such as their academic involvement, hours spent studying, and grade-point-average, among others. These findings will help instructors better grasp each student's academic needs. By incorporating humans into the AI pipeline, we aim to build trust and also mitigate bias. Moreover, this study aims to provide a system that can bridge the gap between student struggles and instructional methods, ultimately fostering a more adaptive and supportive learning environment.