检索结果-内蒙古大学图书馆

ChatGPT in the Classroom. Exploring Its Potential and Limitations in a Functional programming Course

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION 2024年第22期40卷 7743-7754页

作者： Popovici, Matei-Dan Natl Univ Sci & Technol POLITEHN Bucharest Comp Sci Dept Bucharest 060042 Romania Natl Univ Sci & Technol POLITEHN Bucharest Comp Sci Dept Splaiul Independentei 313 Bucharest 060042 Romania

In November 2022, OpenAI has introduced ChatGPT - a chatbot based on supervised and reinforcement learning. Not only can it answer questions emulating human-like responses, but it can also generate code from scratch or complete coding templates provided by the user. ChatGPT can generate unique responses which render any traditional anti-plagiarism tool useless. Its release has ignited a heated debate about its usage in academia, especially by students. We have found, to our surprise, that our students at POLITEHNICA University of Bucharest (UPB) have been using generative AI tools (ChatGPT and its predecessors) for solving homework, for at least 6 months. We therefore set out to explore the capabilities of ChatGPT and assess its value for educational purposes. We used ChatGPT to solve all our coding assignments for the semester from our UPB Functional programming course. We discovered that, although ChatGPT provides correct answers in 68% of the cases, only around half of those are legible solutions which can benefit students in some form. On the other hand, ChatGPT has a very good ability to perform code review on student programming homework. Based on these findings, we discuss the pros and cons of ChatGPT in a teaching environment, as well as means for integrating GPT models for generating code reviews, in order to improve the code-writing skills of students.

关键词： Learning and generative AI empirical studies of programming and software engineering human language technologies in program development

来源：评论

学校读者我要写书评

暂无评论

An empirical study of the effect of complexity, platform, and program type on software development effort of business applications

引用

empirical software engineering 2006年第4期11卷 541-553页

作者： Subramanian, Girish H. Pendharkar, Parag C. Wallace, Mary Penn State Harrisburg Sch Business Middletown PA 17057 USA Comp Aid Corp Harrisburg PA USA

Several popular cost estimation models like COCOMO and function points use adjustment variables, such as software complexity and platform, to modify original estimates and arrive at final estimates. Using data on 666 programs from 15 software projects, this study empirically tests a research model that studies the influence of three adjustment variables-software complexity, computer platform, and program type (batch or online programs) on software effort. The results confirm that all the three adjustment variables have a significant effect on effort. Further, multiple comparison of means also points to two other results for the data examined. Batch programs involve significantly higher software effort than online programs. Programs rated as complex have significantly higher effort than programs rated as average.

关键词： software complexity computer platform online and batch programs software development effort empirical studies of programming and software engineering

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：