arXiv 2406.153822024-04-18cs.CYcs.AIcs.SE

提升教育效率：教育4.0中的生成式AI聊天机器人与DevOps

Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0

State University of Novi Pazar（新帕扎尔国立大学）；University of Criminal Investigation and Police Studies（刑事侦查与警察研究大学）；Higher Technical Professional School in Zvečan（兹韦钱高等技术专业学院）；Academy Of Technical And Art Applied Studies Belgrade（贝尔格莱德技术与艺术应用研究学院）

Edis Mekić, Mihailo Jovanović, Kristijan Kuk, Bojan Prlinčević, Ana Savić

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AI总结：

本研究结合AI与DevOps提出CMS开发创新教学法，经三个学年对比实验验证，该方法可显著提升学习效率，为计算机科学教育的规模化自适应发展提供变革性思路。

摘要：

本研究论文提出计算机科学教育领域的创新教学方法，该方法结合人工智能（AI）与DevOps领域的方法论，以优化内容管理系统（CMS）开发课程的学习体验。研究历时三个学年，将传统教学方式与新引入的AI辅助技术进行对比。教学设置三个结构化冲刺阶段，每个阶段分别覆盖冲刺的核心模块：面向对象PHP、主题开发与插件开发。在每个冲刺阶段中，学生将ChatGPT作为辅助工具，学习部分理论内容并完成部分实践任务。在此阶段，该模型可提供代码调试解决方案以及复杂问题的拓展思路。课程包含PHP代码复现、CMS功能扩展、甚至自定义插件与主题开发等实践案例，课程实践还涵盖使用Git仓库进行版本控制。效率维度将考察开发过程中的主题与插件产出率，以及移动/网页应用开发效率。对比分析表明，所提出的AI与DevOps辅助教学法能显著提升效率，且具备有效性。本研究具有重要参考价值，因为计算机科学教育及其格局的变化体现了一项新兴技术，该技术可能对放大规模化、自适应学习方法的潜力产生变革性影响。

英文摘要：

This research paper will bring forth the innovative pedagogical approach in computer science education, which uses a combination of methodologies borrowed from Artificial Intelligence (AI) and DevOps to enhance the learning experience in Content Management Systems (CMS) Development. It has been done over three academic years, comparing the traditional way of teaching with the lately introduced AI-supported techniques. This had three structured sprints, each one of them covering the major parts of the sprint: object-oriented PHP, theme development, and plugin development. In each sprint, the student deals with part of the theoretical content and part of the practical task, using ChatGPT as an auxiliary tool. In that sprint, the model will provide solutions in code debugging and extensions of complex problems. The course includes practical examples like code replication with PHP, functionality expansion of the CMS, even development of custom plugins, and themes. The course practice includes versions' control with Git repositories. Efficiency will touch the theme and plugin output rates during development and mobile/web application development. Comparative analysis indicates that there is a marked increase in efficiency and shows effectiveness with the proposed AI- and DevOps-supported methodology. The study is very informative since education in computer science and its landscape change embodies an emerging technology that could have transformation impacts on amplifying the potential for scalable and adaptive learning approaches.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。