IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i3p1245-d1331580.html
   My bibliography  Save this article

ChatGPT: Challenges and Benefits in Software Programming for Higher Education

Author

Listed:
  • Carlos Alexandre Gouvea da Silva

    (Catarinense Federal Institute (IFC), São Bento do Sul 89283-064, SC, Brazil)

  • Felipe Negrelle Ramos

    (Computer Engineering Department, University of Araucária (UNIFACEAR), Araucária 83707-067, PR, Brazil)

  • Rafael Veiga de Moraes

    (Computer Engineering Department, University of Araucária (UNIFACEAR), Araucária 83707-067, PR, Brazil)

  • Edson Leonardo dos Santos

    (University Center SENAI (UNISENAI), Curitiba 80215-090, PR, Brazil)

Abstract

ChatGPT is a substantial language model developed by OpenAI, rooted in the GPT-3.5 architecture, with the capacity to generate human-like responses to text-based inputs. ChatGPT serves various purposes, encompassing chatbots, customer service, and personal assistants, which can significantly contribute to sustainability initiatives. Its applications range from language translation and content creation to text summarization. Utilizing ChatGPT offers several advantages, notably its rapid response generation, high accuracy, and its capacity to evolve and improve over time, aligning with sustainability goals for efficiency and innovation. In an educational context, ChatGPT can provide invaluable support to students and educators, aiding in tasks such as generating summaries for extensive texts and addressing subject-related queries. For programming education, ChatGPT can assist students with coding assignments by offering suggestions, hints, and even generating code snippets, fostering sustainable coding practices. Nevertheless, employing ChatGPT in coding education presents challenges, particularly the risk of students becoming overly dependent on AI-generated code and failing to grasp fundamental concepts, which can hinder long-term sustainability in the field. To gauge the viability of ChatGPT in programming education and sustainability, we conducted a Likert scale questionnaire with a group of 40 Brazilian students from March to April 2023. Our primary goal was to assess students’ interest in utilizing ChatGPT as a tool to face programming challenges and problems. Specifically, we aimed to determine their level of inclination towards relying exclusively on ChatGPT during programming classes. In addition to these objectives, we sought to discern not only the positive and beneficial perceptions of using ChatGPT in the classroom but also to investigate its potential impact on learning outcomes and student engagement. Furthermore, we aimed to explore whether participants would consider transitioning to exclusive reliance on ChatGPT in the context of their programming education. Our study revealed that students recognized ChatGPT as an innovative set of AI tools applicable to various classroom contexts, including programming and computer languages, thereby fostering sustainability in the adoption of AI technology for educational purposes. Notably, a majority of students participating in the study expressed a keen interest in employing this tool as a supplementary educational resource in the classroom, promoting sustainable and enhanced learning experiences.

Suggested Citation

  • Carlos Alexandre Gouvea da Silva & Felipe Negrelle Ramos & Rafael Veiga de Moraes & Edson Leonardo dos Santos, 2024. "ChatGPT: Challenges and Benefits in Software Programming for Higher Education," Sustainability, MDPI, vol. 16(3), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:1245-:d:1331580
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/3/1245/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/3/1245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jussi S. Jauhiainen & Agustín Garagorry Guerra, 2023. "Generative AI and ChatGPT in School Children’s Education: Evidence from a School Lesson," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    2. Eugène Loos & Johanna Gröpler & Marie-Louise Sophie Goudeau, 2023. "Using ChatGPT in Education: Human Reflection on ChatGPT’s Self-Reflection," Societies, MDPI, vol. 13(8), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivica Pesovski & Ricardo Santos & Roberto Henriques & Vladimir Trajkovik, 2024. "Generative AI for Customizable Learning Experiences," Sustainability, MDPI, vol. 16(7), pages 1-23, April.
    2. Hong-Guang Zhao & Xin-Zhu Li & Xin Kang, 2024. "Development of an artificial intelligence curriculum design for children in Taiwan and its impact on learning outcomes," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    3. Lian, Ying & Tang, Huiting & Xiang, Mengting & Dong, Xuefan, 2024. "Public attitudes and sentiments toward ChatGPT in China: A text mining analysis based on social media," Technology in Society, Elsevier, vol. 76(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:1245-:d:1331580. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.