Teaching CS50 with AI Leveraging Generative Artificial Intelligence in Computer Science Education

被引:0
|
作者
Liu, Rongxin [1 ]
Zenke, Carter [1 ]
Liu, Charlie [1 ]
Holmes, Andrew [1 ]
Thornton, Patrick [1 ]
Malan, David J. [1 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
来源
PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1 | 2024年
关键词
AI; artificial intelligence; generative AI; large language models; LLMs;
D O I
10.1145/3626252.3630938
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In Summer 2023, we developed and integrated a suite of AI-based software tools into CS50 at Harvard University. These tools were initially available to approximately 70 summer students, then to thousands of students online, and finally to several hundred on campus during Fall 2023. Per the course's own policy, we encouraged students to use these course-specific tools and limited the use of commercial AI software such as ChatGPT, GitHub Copilot, and the new Bing. Our goal was to approximate a 1:1 teacher-to-student ratio through software, thereby equipping students with a pedagogically-minded subject-matter expert by their side at all times, designed to guide students toward solutions rather than offer them outright. The tools were received positively by students, who noted that they felt like they had "a personal tutor." Our findings suggest that integrating AI thoughtfully into educational settings enhances the learning experience by providing continuous, customized support and enabling human educators to address more complex pedagogical issues. In this paper, we detail how AI tools have augmented teaching and learning in CS50, specifically in explaining code snippets, improving code style, and accurately responding to curricular and administrative queries on the course's discussion forum. Additionally, we present our methodological approach, implementation details, and guidance for those considering using these tools or AI generally in education.
引用
收藏
页码:750 / 756
页数:7
相关论文
共 50 条
  • [21] CS1 with a Side of AI: Teaching Software Verification for Secure Code in the Era of Generative AI
    Fernandez, Amanda S.
    Cornell, Kimberly A.
    PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1, 2024, : 345 - 351
  • [22] Integrating Cybersecurity and Artificial Intelligence Research in Engineering and Computer Science Education
    Farahmand, Fariborz
    IEEE SECURITY & PRIVACY, 2021, 19 (06) : 104 - 110
  • [23] The use of generative artificial intelligence in surgical education: a narrative review
    Rao, Lavina
    Yang, Eric
    Dissanayake, Savannah
    Cuomo, Roberto
    Seth, Ishith
    Rozen, Warren M.
    PLASTIC AND AESTHETIC RESEARCH, 2024, 11 : 1 - 14
  • [24] Artificial intelligence in science education: A bibliometric review
    Akhmadieva, Roza S.
    Udina, Natalia N.
    Kosheleva, Yuliya P.
    Zhdanov, Sergei P.
    Timofeeva, Maria O.
    Budkevich, Roza L.
    CONTEMPORARY EDUCATIONAL TECHNOLOGY, 2023, 15 (04)
  • [25] Generative artificial intelligence in higher education: Guidelines for overcoming teaching, ethical and legal dilemmas
    Divino, Sthefano
    REVISTA DE PEDAGOGIA UNIVERSITARIA Y DIDACTICA DEL DERECHO, 2024, 11 (01): : 6 - 30
  • [26] THE POSSIBLE IMPACTS OF GENERATIVE ARTIFICIAL INTELLIGENCE IN EDUCATION
    Bartelle, Liane Broilo
    CADERNOS EDUCACAO TECNOLOGIA E SOCIEDADE, 2024, 17 (02): : 683 - 695
  • [27] Generative Artificial Intelligence in Nuclear Medicine Education
    Currie, Geoffrey M.
    JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY, 2025, 53 (01) : 72 - 79
  • [28] The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review
    Martin Baxmann
    Krisztina Kárpáti
    Zoltán Baráth
    BMC Oral Health, 25 (1)
  • [29] Entrepreneurship education in the era of generative artificial intelligence
    Robin Bell
    Heather Bell
    Entrepreneurship Education, 2023, 6 (3) : 229 - 244
  • [30] Unpacking Epistemic Insights of Artificial Intelligence (AI) in Science Education: A Systematic Review
    Cheung, Kason Ka Ching
    Long, Yun
    Liu, Qian
    Chan, Ho-Yin
    SCIENCE & EDUCATION, 2025, 34 (02) : 747 - 777