Full Paper: Future-Ready Students: Survey Analysis Utilizing Natural Language Processing

First-year Electrical and Computer Engineering students from two institutions engaged in a collaborative project to develop a smart home device using sensors and actuators learned in their introductory courses.They reflected on the project, and their feedback was analyzed using unsupervised and Natural Language Processing techniques like K-means clustering and Latent Dirichlet Allocation.Key methods included data preprocessing and cleaning.AI tools like TF-IDF vectorization and ChatGPT helped identify key themes such as "PROJECT," "PARTNER," "WORK," and "LEARNED."This study highlights NLP's role in enhancing educational strategies and understanding student experiences.