Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Stephen McGill Jr, Villanova University; Rebecca McGill, Villanova University

, we analyzed the performance of the students over two semesters– the first shortly prior to the public release of the ChatGPT AI chatbot; the second shortly afterthe release of the tool – while introducing ChatGPT as a direct learning tool in the secondsemester of the course. The professor showed relevant example conversations with the AIchatbot, to pursue equitable and effective usage of new AI tooling by the student population.Following the professor’s example conversations, students can ask the chatbot to generate moreexamples, and the chatbot will also attempt to give and explain solutions. Students can also askthe chatbot follow-up questions to deepen their understanding and can interact with the AI toolwhen they study outside of the

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity

formulas and functionmodules that facilitate the calculation of various arithmetic operations. The use of mobile phonesintroduced AI tools such as touchscreen features to enhance the speed of working with differentaspects of communications. Now the students can have access to the lessons posted online by theProfessors on various “Learning Management Systems” platforms.Engineering education is a constantly changing field that strives to sustain the latesttechnological advancements and meet the changing needs of the engineering industry. Oneexciting development in the field of engineering education is the use of generative artificialintelligence technology, such as ChatGPT developed by the OpenAI Corporation.AI tools used by studentsAI tools used by

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Devang Jayachandran, Pennsylvania State University, Harrisburg, The Capital College; Jeremy Joseph Blum, Pennsylvania State University, Harrisburg, The Capital College

, Code Generation Pipelines, Contest Programming.IntroductionProgramming contests are competitions in which participants attempt to write computerprograms that solve algorithmic puzzles. Past studies have identified a range of pedagogicalbenefits for student participation in these contests, including enhancing learning outcomes bydeepening conceptual comprehension and fostering team collaboration, along with equippingstudents for technical job interviews [1-2]. These benefits, notwithstanding, a number of hurdlesexist to expanding participation in these contests [3].Artificial Intelligence (AI) tools, like ChatGPT, have been found to lower barriers toparticipation in contest programming [4]. Generative AI tools can provide scaffolding

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Royce A Francis, The George Washington University; James P Ferguson, The George Washington University

known that much. And so I think there was a lot of exploring just how does this stuff work, which I think is good. And I think we've started to get more into that.This practice combines the prior two themes—merging his technical preparation with a deeperunderstanding of the socio-technical aspects of his system focus—with an unfolding awareness of thecomplexity of the domain he chose for the project. And I think a lot now where an interesting parallel to our project in this current time would be studying Gen A where everyone's heard of ChatGPT and everyone's used it a little bit, but how many people actually know what's going on beneath the surface and what the real level of interconnectedness is, all of the