2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)最新文献

Recommendations to Create Programming Exercises to Overcome ChatGPT 创建编程练习以克服ChatGPT的建议

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00031

Jonnathan Berrezueta-Guzman, Stephan Krusche

{"title":"Recommendations to Create Programming Exercises to Overcome ChatGPT","authors":"Jonnathan Berrezueta-Guzman, Stephan Krusche","doi":"10.1109/CSEET58097.2023.00031","DOIUrl":"https://doi.org/10.1109/CSEET58097.2023.00031","url":null,"abstract":"Large language models, such as ChatGPT, possess the potential to revolutionize educational practices across various domains. Nonetheless, the deployment of these models can inadvertently foster academic dishonesty due to their facile accessibility. In practical courses like programming, where hands-on experience is crucial for learning, relying solely on ChatGPT can hinder students’ ability to engage with the exercises, consequently impeding the attainment of learning outcomes.This paper conducts an experimental analysis of GPT 3.5 and GPT 4, gauging their proficiencies and constraints in resolving a compendium of 22 programming exercises. We discern and categorize exercises based on ChatGPT’s ability to furnish viable solutions, alongside those that remain unaddressed. Moreover, an evaluation of the malleability of the solutions proposed by ChatGPT is undertaken. Subsequently, we propound a series of recommendations aimed at curtailing undue dependence on ChatGPT, thereby fostering authentic competency development in programming. The efficaciousness of these recommendations is underpinned by their integration into the design and delivery of an examination as part of the corresponding course.","PeriodicalId":256885,"journal":{"name":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130791472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Development of a script to aggregate document inspection comments across different platforms to GitHub in a software development PBL 在软件开发PBL中开发脚本，将不同平台的文档检查注释聚合到GitHub中

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00042

Oh Sato, A. Hazeyama

引用次数: 0

Towards Assessment of Practicality of Introductory Programming Course Using Vocabulary of Textbooks, Assignments, and Actual Projects 利用教科书词汇、作业与实际计画评估程式设计入门课程的实用性

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00046

Kazuki Fukushima, T. Ishio, Kazumasa Shimari, Kenichi Matsumoto

{"title":"Towards Assessment of Practicality of Introductory Programming Course Using Vocabulary of Textbooks, Assignments, and Actual Projects","authors":"Kazuki Fukushima, T. Ishio, Kazumasa Shimari, Kenichi Matsumoto","doi":"10.1109/CSEET58097.2023.00046","DOIUrl":"https://doi.org/10.1109/CSEET58097.2023.00046","url":null,"abstract":"In an assignment-based introductory programming course, a teacher makes a daily class plan based on a textbook and assigns tasks to the students. Assignments are prepared by the teacher so that students can have a better understanding of programming language constructs explained in the course. On the other hand, it is unclear how those language constructs are useful for practical programming tasks. To analyze the practicality of a programming course, this study proposes to compare the vocabularies of code used in textbooks, assignments, and regular programming tasks. If the vocabularies of the textbooks and assignments are closer to that of source code in actual projects, the programming course is considered more practical. As a case study, we have applied the method to evaluate a programming course focusing on data science for graduate students. The result revealed inconsistency between the programming language constructs taught in the course and frequently used in data analysis programs on the Kaggle platform.","PeriodicalId":256885,"journal":{"name":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130431614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI-assisted university programming education in practice 人工智能辅助高校编程教育实践

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/cseet58097.2023.00039

Z. Johanyák, József Cserkó, Attila Pásztor

引用次数: 0

On Evidence-based Feedback Practices in Software Engineering for Continuous People Improvement 基于证据的反馈实践在软件工程中的持续改进

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00033

Miguel Morales Trujillo, M. Galster

引用次数: 0

Toward AI-assisted Exercise Creation for First Course in Programming through Adversarial Examples of AI Models 通过人工智能模型的对抗性示例，探讨人工智能辅助编程第一课程的习题创建

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00028

William Chan, Y. T. Yu, J. Keung, Victor C.S. Lee

引用次数: 0

Is Online Teaching Dead After COVID-19? Student Preferences for Programming Courses COVID-19后在线教学死亡了吗?学生对编程课程的偏好

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00020

Stefanie Manger, Maximilian Sölch, Matthias Linhuber, Christoph Weinhuber, Philipp Zagar, Stephan Krusche

{"title":"Is Online Teaching Dead After COVID-19? Student Preferences for Programming Courses","authors":"Stefanie Manger, Maximilian Sölch, Matthias Linhuber, Christoph Weinhuber, Philipp Zagar, Stephan Krusche","doi":"10.1109/CSEET58097.2023.00020","DOIUrl":"https://doi.org/10.1109/CSEET58097.2023.00020","url":null,"abstract":"The COVID-19 pandemic precipitated an unprecedented paradigm shift in higher education, compelling swift adaptation to online teaching methods. Consequently, the merits of remote education, including increased flexibility and geographic independence, were emphasized. At the same time, however, the problems associated with distance education became apparent, such as the lack of networking, collaborative learning, and social interactions. This situation led to detrimental effects on student motivation and learning outcomes in team-oriented software engineering courses.To address the dichotomy of learning preferences, one potential solution proposed is the simultaneous offering of online and onsite instruction. However, such a proposition presents substantial logistical challenges, necessitating additional resources, labor, and organizational overhead. This research paper presents a case study conducted during an introductory programming course, which serves as a precursor to a comprehensive, practical software engineering course. Upon easing of COVID-19 related restrictions, the instructors offered both online and onsite versions of this course and obtained student feedback through interviews to draw a comparative analysis.The study outcomes provide crucial insights into students’ preferences with respect to learning modalities in higher education, particularly within the software engineering discipline. The results indicate a predominant preference for the onsite version of the introductory course. Reasons attributed to this preference include enhanced social interactions, greater enjoyment, and increased motivation, thus highlighting the irreplaceable value of face-to-face education.","PeriodicalId":256885,"journal":{"name":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130123336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Workshop “Business Programming” - Critical Factors from Zero to Portable GUI Programming in 4 Hours 工作坊“业务编程”-从零到可移植GUI编程的关键因素在4小时内

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/cseet58097.2023.00047

Rony G. Flatscher

引用次数: 0

Experiences With Gap-Bridging Software Engineering Industry-Academia Collaborative Education Program 软件工程产学研合作教育项目的经验

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00035

M. K. Sabariah, V. Effendy, Jati H. Husen, Daffa Hilmy Fadhlurrohman, Rony Setyawansyah

引用次数: 0

Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study 调查在初级和中级编程课程中使用人工智能生成的练习:ChatGPT案例研究

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2023-08-01 DOI: 10.1109/CSEET58097.2023.00030

Sandro Speth, Niklas Meißner, Steffen Becker

{"title":"Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study","authors":"Sandro Speth, Niklas Meißner, Steffen Becker","doi":"10.1109/CSEET58097.2023.00030","DOIUrl":"https://doi.org/10.1109/CSEET58097.2023.00030","url":null,"abstract":"In recent years, artificial intelligence (AI) has been increasingly used in education and supports teachers in creating educational material and students in their learning progress. AI-driven learning support has recently been further strengthened by the release of ChatGPT, in which users can retrieve explanations for various concepts in a few minutes through chat. However, to what extent the use of AI models, such as ChatGPT, is suitable for the creation of didactically and content-wise good exercises for programming courses is not yet known. Therefore, in this paper, we investigate the use of AI-generated exercises for beginner and intermediate programming courses in higher education using ChatGPT. We created 12 exercise sheets with ChatGPT for a beginner to intermediate programming course focusing on the objects-first approach. We report our process, prompts, and experience using ChatGPT for this task and outline good practices we identified. The generated exercises are assessed and revised, primarily using ChatGPT, until they met the requirements of the programming course. We assessed the quality of these exercises by using them in our external teaching assignment course at the University of Education Ludwigsburg and let the students evaluate them. Results indicate the quality of the generated exercises and the time-saving for creating them using ChatGPT. However, our experience showed that while it is fast to generate a good version of an exercise, almost every exercise requires minor manual changes to improve its quality.","PeriodicalId":256885,"journal":{"name":"2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0