Conference Session

DSA Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tushar Ojha, University of New Mexico; Don Hush, University of New Mexico

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

Paper ID #42410Credit-Hour Analysis of Undergraduate Students Using Sequence DataTushar Ojha, University of New Mexico Tushar Ojha is a graduate (PhD) student in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM). His work is focused on researching and developing data driven methods that are tailored to analyzing/predicting outcomes in the higher education space. He works as a Data Scientist for the Institute of Design & Innovation (IDI), UNM.Don Hush, University of New Mexico Dr. Hush has worked as a technical staff member at Sandia National Laboratories, a tenure-track

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Harpreet Auby, Tufts University; Namrata Shivagunde, University of Massachusetts, Lowell; Anna Rumshisky, University of Massachusetts, Lowell; Milo Koretsky, Tufts University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

improvestudent achievement, engagement, and have helped students develop conceptual understandingand problem-solving skills [4] - [14]. Additionally, when students are asked to write short-answer responses to explain their reasoning to concept questions, it has been observed toimprove student performance, engagement, and prepare students for group discussion [15], [16].These responses provide instructors and researchers with a wealth of information regardingstudent thinking [17]. Still, often, it is difficult for instructors and researchers to process all ofthis written information. Machine learning researchers have applied natural language processing(NLP) and large language models (LLMs) to automate the grading and scoring of textualresponses from