Analyzing ChatGPT's Aptitude in an Introductory Computer Engineering Course
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Abstract (arXiv)
ChatGPT has recently gathered attention from the general public and academia as a tool that is able to generate plausible and human-sounding text answers to various questions. One potential use, or abuse, of ChatGPT is in answering various questions or even generating whole essays and research papers in an academic or classroom setting. While recent works have explored the use of ChatGPT in the context of humanities, business school, or medical school, this work explores how ChatGPT performs in the context of an introductory computer engineering course. This work assesses ChatGPT's aptitude in answering quizzes, homework, exam, and laboratory questions in an introductory-level computer engineering course. This work finds that ChatGPT can do well on questions asking about generic concepts. However, predictably, as a text-only tool, it cannot handle questions with diagrams or figures, nor can it generate diagrams and figures. Further, also clearly, the tool cannot do hands-on lab experiments, breadboard assembly, etc., but can generate plausible answers to some laboratory manual questions. One of the key observations presented in this work is that the ChatGPT tool could not be used to pass all components of the course. Nevertheless, it does well on quizzes and short-answer questions. On the other hand, plausible, human-sounding answers could confuse students when generating incorrect but still plausible answers.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 1 of its 5 references that are in the map. First posted on arXiv 13 Mar 2023.
Builds on
1 of 5 references.
References · 1
- 2022GPT Takes the Bar Examcited by 65
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Citing papers per year: 2023: 3; 2024: 2.
5 papers.
- 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMscited by 224
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
- 2023Testing the Depth of ChatGPT's Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5's Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lackingcited by 7
- 2023ChatGPT & Mechanical Engineering: Examining performance on the FE Mechanical Engineering and Undergraduate Examscited by 0
- 2024Artificial Intelligence Driven Course Generation: A Case Study Using ChatGPTcited by 0
- 2024Artificial Intelligence Driven Course Generation: A Case Study Using ChatGPT2 Nov 2024
- 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs6 Feb 2024
- 2023ChatGPT & Mechanical Engineering: Examining performance on the FE Mechanical Engineering and Undergraduate Exams26 Sep 2023
- 2023Testing the Depth of ChatGPT's Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5's Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lacking28 Jul 2023
- 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets29 May 2023