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A High-Quality Generation Approach for Educational programming projects Using LLM

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES 2024年 17卷 2296-2309页

作者： Song, Tian Zhang, Hang Xiao, Yijia Beijing Inst Technol Sch Educ Beijing 100081 Peoples R China Beijing Inst Technol Sch Cyberspace Sci & Technol Beijing 100081 Peoples R China

High-quality programming projects for education are critically required in teaching. However, it is hard to develop those projects efficiently and artificially constrained by the lecturers' experience and background. The recent popularity of large language models (LLMs) has led to a great number of applications in the field of education, but concerns persist that the output might be unreliable when dealing with intricate requirements. In this study, we design a customized role-based agent (CRBA), which can be configured for different roles specializing in specific areas of expertise, making the LLM yield content of higher specialization. An iterative architecture of multi-CRBAs is proposed to generate multistep projects, where CRBAs automatically criticize and optimize the LLM's intermediate outputs to enhance quality. We propose ten evaluation metrics across three aspects to assess project quality through expert grading. Further, we conduct an A/B test among 60 undergraduate students in a programming course and collect their feedback through a questionnaire. According to the students' rating results, the LLM-generated projects have comparable performance to man-made ones in terms of project description, learning step setting, assistance to students, and overall project quality. This study effectively integrates LLM into educational scenarios and enhances the efficiency of creating high-quality and practical programming exercises for lecturers.

关键词： programming profession Codes Education Iterative methods Computer architecture Prompt engineering Measurement Chatbots Python Logic Automatic generation generative pretrained transformer (GPT) large language models (LLMs) programming education programming projects

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Artificial intelligence - Techniques for search results in programming projects

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COMPUTERS & INDUSTRIAL ENGINEERING 1996年第1-2期31卷 393-396页

作者： Pereira, MG Programa de Pós-Gradua??o em Engenharia de Produ??o - Universidade Federal de Santa Catarina Florianópolis SC Brazil

The problem of scheduling projects is dealt with in this study with the aim of comparing tools in order to find the optimum or near-optimum solution. There is an infinite number of tools that serve this purpose, both the traditional ones based on more sophisticated mathematical formulations, and the more modern and experimental ones that utilize techniques of artificial intelligence. The conventional methods with a mathematical basis, exemplified by the technique of Branch and Bound, and those using specific computational packages to find solutions, such as GAMS, are highly efficient in solving problems of project scheduling that consider the temporal organization of a set of tasks so as to fulfil given objectives. In this type of problem, restrictions involving resources and various other restrictions are considered in order to schedule the project. In recent years many different ways of solving problems were employed in order to find the best solution for this kind of scheduling, which nearly always turns out to involve an extremely complex problem of overall scheduling when real situations are considered At present much more modern methods have arisen to solve problem, within the technique of Artificial Intelligence, bringing advantages and disadvantages. This technique was devised to help choose the most suitable tool for the problem at hand.

关键词： artificial intelligence expert system programming projects

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Engagement and Frustration in programming projects 07

Engagement and Frustration in Programming Projects

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38th SIGCSE Technical Symposium on Computer Science Education

作者： Hansen, Stuart Eddy, Erica Univ Wisconsin Parkside Kenosha WI 53144 USA

ISBN: (纸本)9781595933614

Attracting and retaining quality students is an ongoing concern in Computer Science. Retention can be enhanced by keeping students engaged in the learning process while preventing them from becoming overly frustrated. While engaging students during class is certainly important, most students spend a significant amount of time working on programming projects outside of class. The goal of this research was to collect and analyze some initial data on how engaging and frustrating our students find Our programming projects. During the Spring 2006 semester we surveyed our students after each programming project. This paper presents some initial findings from the surveys and discusses strategies on how to improve our projects based on this feedback.

关键词： programming projects Frustration Engagement

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Novice Programmers Talking about projects: What Automated Text Analysis Reveals about Online Scratch Users' Comments

Novice Programmers Talking about Projects: What Automated Te...

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47th Annual Hawaii International Conference on System Sciences

作者： Velasquez, Nicole Forsgren Fields, Deborah A. Olsen, David Martin, Taylor Shepherd, Mark C. Strommer, Anna Kafai, Yasmin B. Utah State Univ 2830 Old Main Hill Logan UT 84322 USA Univ Penn Philadelphia PA 19104 USA

ISBN: (纸本)9781479925049

In this paper we examine the possibilities of applying predictive analysis to users' written communication via comments in an open-ended online social networking forum: ***. Scratch is primarily used by youth ages 8-16 years to program software like games, animations, and stories;their social interactions take place around commenting, remixing, and sharing computer programs (called projects). This exploratory work contributes to work in educational data mining by broadly describing and comparing comments about projects versus other topics in Scratch. Referencing communication accommodation theory, we found that user comments about projects exhibited different linguistic cues than other comments, and these cues were successfully used to classify comment topic. Further, results also suggest that project comments embody richer language than other comments. This suggests several future avenues for research on youth's online comments about programming and other technical projects that may reveal educational opportunities in creating and sharing projects.

关键词： computer science education data mining educational administrative data processing linguistics pattern classification programming project management social networking (online) text analysis Scratch.mit.edu. Scratch automated text analysis comment topic classification communication accommodation theory computer programs educational data mining educational opportunities linguistic cues novice programmers online scratch user comments open-ended online social networking forum predictive user written communication analysis programming projects project comments project sharing social interactions technical projects youth online comments Communities Context Data mining Logic gates Pragmatics programming Social network services

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Minimally Invasive programming Courses - Learning OOP With(out) Instruction 11

Minimally Invasive Programming Courses - Learning OOP With(o...

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42nd ACM Technical Symposium on Computer Science Education

作者： Berges, Marc Hubwieser, Peter Tech Univ Munich Fac Informat D-85748 Garching Germany

ISBN: (纸本)9781450305006

In this paper, we describe a research project that investigates how far freshmen at the University (without any programming background) are able to learn object-oriented programming with as little (human) instruction as possible. We designed specific tasks for programming assignments and supporting worksheets that contained the only information input that the students received during the courses. We examined the program code the students produced in order to assess the quality of their products. The surprising result was that most of the students were able to write quite satisfying programs. Additionally, a cluster analysis of the results showed that there are two different types of students: the ones that accept and apply the object-oriented concepts quite willingly, while the others prefer to program in a more traditional, procedural style.

关键词： programming projects higher education programming novices self-conducted learning object-oriented programming

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Practical Systems programming in Computer Science Education (Abstract Only) 17

Practical Systems Programming in Computer Science Education ...

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Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

作者： Peter H. Fröhlich Borja Sotomayor Johns Hopkins University Baltimore MD USA University of Chicago Chicago IL USA

ISBN: (纸本)9781450346986

Introductory curricula, courses, and programming assignments seem to get most of the attention at Computer Science education conferences. This bird-of-a-feather focuses, instead, on upper-level systems courses (databases, networks, compilers, operating systems, etc.) and, more specifically, on courses with a significant hands-on implementation component, from small-scale programming assignments like implementing a memory allocator or a network protocol, to larger projects like implementing an operating system or compiler from scratch. Designing assignments and projects for these kinds of courses can be challenging: they must be "practical" in the sense of providing a realistic systems programming experience, but also "practical" in the sense of being small and self-contained enough to be feasible in a single quarter/semester. While there are a number of established frameworks (such as Minix, Pintos, or xv6 for operating systems) there is not, to the best of our knowledge, a dedicated forum for educators focused on these types of courses. Such a forum would allow us to more easily share existing coursework, collaboratively develop and refine coursework, and to have seasoned instructors provide support to those just starting *** birds-of-a-feather is a first step in that direction. It will provide an opportunity for instructors of upper-level systems courses to get to know each other as well as exchange ideas and experiences. Discussion will revolve primarily around programming assignments and projects, but will also look to foster networking and communication beyond the birds-of-a-feather session.

关键词： programming projects distributed systems compilers operating systems programming assignments databases computer architecture networks computer systems upper-level classes

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Geospatial intelligence as a context for computing education (abstract only) 13

Geospatial intelligence as a context for computing education...

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Proceeding of the 44th ACM technical symposium on Computer science education

作者： Sambit Bhattacharya Bogdan Czejdo Rakesh Malhotra Fayetteville State University Fayetteville NC USA

ISBN: (纸本)9781450318686

We present Geospatial Intelligence (GEOINT) as a context for computing education. GEOINT is a rich source of ideas for programming projects, algorithm design and use of databases. Students are interested in GEOINT due to its inherently visual subject matter and its strong ties with crime, espionage and social changes and upheavals. In short we are motivating computation as a subject that can provide solutions and insights into crime mysteries and complex events that unfold over time and space. In addition to keeping Computer Science majors interested, we also seek to attract students of other disciplines into computing. GEOINT and computing knowledge can provide initial preparation for certain jobs that are in demand and also for graduate school. Our assignments and programming projects that are inspired by GEOINT can be used in an introductory programming course or a more advanced course. These materials derive from well known case studies and also fundamentals concepts in computing. Some programming projects are based on exploration of chronologies and timelines as tools that enable the geographical display of information as an order sequence of events. In general these geospatial displays can correlate information to help correct for possible gaps and inconsistencies in knowledge. These materials use multiple layered techniques of presenting information that use time, geographical location, weather conditions and static features of the earth's surface.

关键词： algorithm design programming projects databases timelines geospatial intelligence

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