利用生成式人工智能扩大计算机科学的参与范围

Devang Jayachandran, P. Maldikar, Tyler S. Love, Jeremy Blum
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摘要

生成式人工智能(AI)被纳入了一项编程竞技活动,其目标群体是本科生,包括那些编程经验不足的学生。比赛采用了一系列挑战设计方法,促进与生成式人工智能系统进行有意义的互动,同时将挑战难度保持在适当水平。对调查反馈和比赛数据的分析表明,这种形式降低了参赛门槛,成功吸引了学生参与整个比赛,并提高了他们参加类似活动的可能性。作为这项工作的延伸,目前正在为高中教师举办专业发展研讨会,同时为高中学生举办竞赛。我们将分析参赛者调查以及与竞赛和生成式人工智能系统的互动记录,以衡量生成式人工智能对学生自我效能的影响,并就如何将生成式人工智能教学纳入计算机科学课程提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Generative Artificial Intelligence to Broaden Participation in Computer Science
Generative Artificial Intelligence (AI) was incorporated into a competitive programming event that targeted undergraduate students, including those with little programming experience. The competition incorporated a range of challenge design approaches that promoted meaningful interaction with generative AI system, even while keeping the challenge difficulty level to an appropriate level. An analysis of survey responses and competition data showed that this format lowered barriers to participation, successfully engaged students throughout the competition, and increased the likelihood that they would participate in a similar event. In an extension of this work, a professional development workshop for high school teachers is being developed, along with a contest for high school students. Participant surveys and logs of interaction with the contest and generative AI systems will be analyzed to measure the effect of generative AI on student self-efficacy and suggest ways to integrate generative AI instruction into computer science curriculum.
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