Proceedings of the 16th Annual ACM India Compute Conference最新文献

Impacting the Submission Timing of Student Work Using Gamification 利用游戏化影响学生作业的提交时间

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627218

Theresia Devi Indriasari, Paul Denny, Andrew Luxton-Reilly, Danielle Lottridge

引用次数: 0

Leveraging Large Language Models for Analysis of Student Course Feedback 利用大型语言模型分析学生课程反馈

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627221

Zixuan Wang, Paul Denny, Juho Leinonen, Andrew Luxton-Reilly

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Leveling Up Education: Harnessing Generative AI for Game-Based Learning 提升教育水平：利用生成式人工智能进行游戏式学习

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3631585

Ashish Amresh

{"title":"Leveling Up Education: Harnessing Generative AI for Game-Based Learning","authors":"Ashish Amresh","doi":"10.1145/3627217.3631585","DOIUrl":"https://doi.org/10.1145/3627217.3631585","url":null,"abstract":"Generative AI has exploded in popularity over the past few years and is showing no signs of slowing down. There is skepticism among educators and institutions on the best ways to harness its power without ignoring ethical and equitable challenges that arise with its use. One area where there is emerging consensus is in building personalized learning solutions that can provide equitable access to a wide range of learners without compromising on ethical challenges. Simultaneously game-based learning has proven to be a viable paradigm to engage learners and the ability of games to be able to adapt to the player/learner provides significant opportunities to build equitable and accessible personalized learning solutions. In this talk, we will discuss ways in which game-based learning and generative AI can synergistically be combined to take advantage of each other’s capabilities and create educational interventions that can be offered at scale. By combining the interactive and motivational aspects of games with the adaptability and intelligence of generative AI, educators can unlock new opportunities to cater to individual learning needs and cultivate a more effective and enjoyable learning process. In this keynote, we will look at experimental software frameworks that can drive and level up education in multiple contexts and showcase some exemplars that demonstrate the promise that this integration provides.","PeriodicalId":508655,"journal":{"name":"Proceedings of the 16th Annual ACM India Compute Conference","volume":"29 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184939","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

Evaluating Copilot on CS1 Code Writing Problems with Suppressed Specifications 评估 Copilot 在 CS1 代码编写问题上的使用被抑制的规范

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627235

Varshini Venkatesh, Vaishnavi Venkatesh, Viraj Kumar

{"title":"Evaluating Copilot on CS1 Code Writing Problems with Suppressed Specifications","authors":"Varshini Venkatesh, Vaishnavi Venkatesh, Viraj Kumar","doi":"10.1145/3627217.3627235","DOIUrl":"https://doi.org/10.1145/3627217.3627235","url":null,"abstract":"Code writing problems in introductory programming (CS1) courses typically ask students to write simple functions or programs based on detailed natural-language specifications. These details can be leveraged by large language models (LLMs), accessible to students via tools such as GitHub Copilot, to generate solutions that are often correct. CS1 instructors who are unwilling or unable to prohibit such usage must consider variants of traditional code writing problems that align with their learning objectives but are more difficult for LLMs to solve. Since LLMs are sensitive to the level of details in their prompts, it is natural to consider variants where details are progressively trimmed from the specifications of traditional code writing problems, and consequent ambiguities are clarified via examples. We consider an extreme variant, where all natural language is suppressed except for meaningful names of functions and their arguments. We evaluate the performance of Copilot on suppressed specification versions of 153 such problems drawn from the CodeCheck repository. If Copilot initially fails to generate a correct solution, we augment each suppressed specification with as few clarifying examples as possible to obtain a correct solution. Copilot solves 134 problems (87%) with just 0.7 examples on average, requiring no examples in 78 instances. Thus, modifying traditional code-writing problems by merely trimming specification details is unlikely to thwart sophisticated LLMs such as GitHub Copilot.","PeriodicalId":508655,"journal":{"name":"Proceedings of the 16th Annual ACM India Compute Conference","volume":"23 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184712","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

Exploring How Novice Programming Students Have Experienced Digital Technology 探索编程新手如何体验数字技术

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627219

Stefan Dyer, Paul Denny, Andrew Luxton-Reilly

引用次数: 0

Evaluating the difficulty for novice engineers in learning and using Transition Systems for modeling software systems 评估新手工程师学习和使用过渡系统为软件系统建模的难度

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627223

Mrityunjay Kumar, Venkatesh Choppella

{"title":"Evaluating the difficulty for novice engineers in learning and using Transition Systems for modeling software systems","authors":"Mrityunjay Kumar, Venkatesh Choppella","doi":"10.1145/3627217.3627223","DOIUrl":"https://doi.org/10.1145/3627217.3627223","url":null,"abstract":"Modern software products are complex systems and are better comprehended when engineers can think of the software as a system. Systems Science suggests that learning about a complex system is aided by modeling. It stands to reason that if we can help novice engineers model the software products as systems, it should improve their comprehension. One way of learning through modeling is to use Transition Systems to build models that we proposed in a previous paper. This requires the engineers to learn the vocabulary of Transition Systems and a way to use it to model software systems. The question arises: is it difficult to learn and use transition systems vocabulary? We hypothesize that it is not, because its vocabulary is small, and it builds on the concepts learned in other courses like Theory of Computation and Discrete Mathematics - finite-state machines and set theory. To test this hypothesis, we designed a short intervention (one lecture and one project) in a software engineering course for two cohorts of students from two different environments. We taught them basic concepts of Transition Systems and how systems can be modelled using its vocabulary and evaluated their performance on a modeling project. We also administered a survey to evaluate their perception of the topic. Both the cohorts scored well on the project and reported agreement with ease of learning and use of Transition Systems when surveyed. Based on the knowledge demonstrated and the survey feedback, we conclude that it is not difficult for them to learn the vocabulary of Transition Systems and its use. This result gives confidence to start designing longer intervention to promote use of systems modeling and study their effectiveness with large software systems.","PeriodicalId":508655,"journal":{"name":"Proceedings of the 16th Annual ACM India Compute Conference","volume":"44 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184654","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

From Learning Outcomes to Competencies based Computing Curricula for India 从学习成果到基于能力的印度计算机课程

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627228

A. Vichare

{"title":"From Learning Outcomes to Competencies based Computing Curricula for India","authors":"A. Vichare","doi":"10.1145/3627217.3627228","DOIUrl":"https://doi.org/10.1145/3627217.3627228","url":null,"abstract":"Competencies based (COM) approaches to curriculum design are a promising and recommended direction to evolve towards. It is then necessary to contrast the current practices with the proposed direction. Some questions have been, and are being, addressed; e.g. work has been done to illustrate defining competencies from given learning outcomes (LO). However globally the transition to competencies based approaches to computing education from LO based approaches is challenging given the diversity of LO practices. In this work we contrast the typical LO practice in India with the proposed competencies approach. We use degree program samples for computer science (CS) and computer engineering (CE) in this work. The LO approaches are obtained by using the AICTE model curriculum for computer engineering and the UGC model curriculum for computer science. The competencies approaches are from the literature around the respective ACM-IEEE curriculum recommendations. With respect to the Indian context we use these to (a) develop a clear contrast between LO based approaches and competency based approaches, (b) critically examine the competencies based approach, and (c) identify a path with incremental changes towards competencies based approaches. We develop a set of considerations and recommendations for an institution that seeks to incrementally move towards a competencies based approach while maintaining compatibility with the Indian educational ecosystem. Finally, we hope that this clarifies a number of potential misinterpretations of competencies based approach, and guides attempts to develop curricula based on it.","PeriodicalId":508655,"journal":{"name":"Proceedings of the 16th Annual ACM India Compute Conference","volume":"52 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184707","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

Creating Thorough Tests for AI-Generated Code is Hard 为人工智能生成的代码创建全面的测试很难

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627238

Shreya Singhal, Viraj Kumar

引用次数: 0

Learning to Rank for Search Results Re-ranking in Learning Experience Platforms 学习搜索结果排名学习体验平台中的重新排名

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627224

Ayush Kataria, H. M. Venkateshprasanna, Ashok Kumar, Reddy Kummetha

引用次数: 0

Empowering Novice Programmers with Visual Problem Solving tools 利用可视化问题解决工具增强程序设计新手的能力

Proceedings of the 16th Annual ACM India Compute Conference Pub Date : 2023-12-09 DOI: 10.1145/3627217.3627232

Ritwik Murali, Rajkumar Sukumar, Mary Sanjana Gali, Veeramanohar Avudaiappan

引用次数: 0