Integrating ChatGPT in a Computer Science Course: Students Perceptions and Suggestions

• URL: http://arxiv.org/abs/2402.01640v1
• Date: Fri, 22 Dec 2023 10:48:34 GMT
• Title: Integrating ChatGPT in a Computer Science Course: Students Perceptions and Suggestions
• Authors: Kehinde Aruleba, Ismaila Temitayo Sanusi, George Obaido and Blessing Ogbuokiri
• Abstract summary: This experience report explores students' perceptions and suggestions for integrating ChatGPT in a computer science course. Findings show the importance of carefully balancing using ChatGPT in computer science courses.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The integration of artificial intelligence tools such as ChatGPT in the education system has gained attention in recent years. This experience report explores students' perceptions and suggestions for integrating ChatGPT in a computer science course. Following a ChatGPT activity which includes code completion and analysis, seven students participated in in-depth interviews. Findings from the transcribed interviews suggest that ChatGPT has the potential to enhance learning experience including programming. They highlighted the tool's ability to respond immediately to queries and supporting personalised learning. However, they raise concerns that heavy reliance on ChatGPT may adversely affect students' critical thinking and problem-solving skills. These findings show the importance of carefully balancing using ChatGPT in computer science courses. The findings of this research have significant implications for educators, curriculum designers and policymakers as they explore integrating AI tools into educational contexts.

Related papers

• ChatGPT in Research and Education: Exploring Benefits and Threats [1.9466452723529557]
  ChatGPT is a powerful language model developed by OpenAI. It offers personalized feedback, enhances accessibility, enables interactive conversations, assists with lesson preparation and evaluation, and introduces new methods for teaching complex subjects. ChatGPT also poses challenges to traditional education and research systems. These challenges include the risk of cheating on online exams, the generation of human-like text that may compromise academic integrity, and difficulties in assessing the reliability of information generated by AI.
  arXiv  Detail & Related papers  (2024-11-05T05:29:00Z)
• Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course [7.182952031323369]
  This paper explores ChatGPT's impact on learning in a Python programming course tailored for first-year students over eight weeks. By analyzing responses from surveys, open-ended questions, and student-ChatGPT dialog data, we aim to provide a comprehensive view of ChatGPT's utility. Our study uncovers a generally positive reception toward ChatGPT and offers insights into its role in enhancing the programming education experience.
  arXiv  Detail & Related papers  (2024-03-20T15:47:28Z)
• Exploring ChatGPT's Capabilities on Vulnerability Management [56.4403395100589]
  We explore ChatGPT's capabilities on 6 tasks involving the complete vulnerability management process with a large-scale dataset containing 70,346 samples. One notable example is ChatGPT's proficiency in tasks like generating titles for software bug reports. Our findings reveal the difficulties encountered by ChatGPT and shed light on promising future directions.
  arXiv  Detail & Related papers  (2023-11-11T11:01:13Z)
• Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots [36.760677949631514]
  ChatGPT was released to provide coherent and useful replies based on analysis of large volumes of data. Our preliminary evaluation concludes that ChatGPT performed differently in each subject area including finance, coding and maths. There are clear drawbacks in its use, such as the possibility of producing inaccurate or false data. Academic regulations and evaluation practices need to be updated, should ChatGPT be used as a tool in education.
  arXiv  Detail & Related papers  (2023-05-25T17:35:57Z)
• Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education [40.38809129759498]
  ChatGPT is most commonly used in the domains of higher education, K-12 education, and practical skills training. On one hand, some users view it as a transformative tool capable of amplifying student self-efficacy and learning motivation. On the other hand, there is a degree of apprehension among concerned users.
  arXiv  Detail & Related papers  (2023-05-22T15:13:14Z)
• Can ChatGPT Pass An Introductory Level Functional Language Programming Course? [2.3456295046913405]
  This paper aims to explore how well ChatGPT can perform in an introductory-level functional language programming course. Our comprehensive evaluation provides valuable insights into ChatGPT's impact from both student and instructor perspectives.
  arXiv  Detail & Related papers  (2023-04-29T20:30:32Z)
• ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning [70.57126720079971]
  Large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) This paper evaluates ChatGPT on 7 different tasks, covering 37 diverse languages with high, medium, low, and extremely low resources. Compared to the performance of previous models, our extensive experimental results demonstrate a worse performance of ChatGPT for different NLP tasks and languages.
  arXiv  Detail & Related papers  (2023-04-12T05:08:52Z)
• A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding [55.37338324658501]
  Zero-shot dialogue understanding aims to enable dialogue to track the user's needs without any training data. In this work, we investigate the understanding ability of ChatGPT for zero-shot dialogue understanding tasks.
  arXiv  Detail & Related papers  (2023-04-09T15:28:36Z)
• To ChatGPT, or not to ChatGPT: That is the question! [78.407861566006]
  This study provides a comprehensive and contemporary assessment of the most recent techniques in ChatGPT detection. We have curated a benchmark dataset consisting of prompts from ChatGPT and humans, including diverse questions from medical, open Q&A, and finance domains. Our evaluation results demonstrate that none of the existing methods can effectively detect ChatGPT-generated content.
  arXiv  Detail & Related papers  (2023-04-04T03:04:28Z)
• On the Educational Impact of ChatGPT: Is Artificial Intelligence Ready to Obtain a University Degree? [0.0]
  We evaluate the influence of ChatGPT on university education. We discuss how computer science higher education should adapt to tools like ChatGPT.
  arXiv  Detail & Related papers  (2023-03-20T14:27:37Z)
• A Categorical Archive of ChatGPT Failures [47.64219291655723]
  ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human conversation. It has garnered significant attention due to its ability to effectively answer a broad range of human inquiries. However, a comprehensive analysis of ChatGPT's failures is lacking, which is the focus of this study.
  arXiv  Detail & Related papers  (2023-02-06T04:21:59Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.