Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2最新文献

Developing a Human Centred AI Masters: the Good, the Bad and the Ugly 开发以人为本的AI大师:好、坏、丑

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532120

Barry Feeney, M. Zuccarini, Tarry Singh, H. Aldewereld, S. Marrone, Keith Quille

{"title":"Developing a Human Centred AI Masters: the Good, the Bad and the Ugly","authors":"Barry Feeney, M. Zuccarini, Tarry Singh, H. Aldewereld, S. Marrone, Keith Quille","doi":"10.1145/3502717.3532120","DOIUrl":"https://doi.org/10.1145/3502717.3532120","url":null,"abstract":"The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical content into traditional applied AI modules is progressing, it is not enough. To foster student competencies to create AI innovations that respect and support the protection of individual rights and society, a novel ground-up approach is needed. This panel presents on one such approach, the development of a Human-Centred AI Masters (HCAIM) as well as the insights and lessons learned from the process. In particular, we discuss the design decisions that have led to the multi-institutional master's programme. Moreover, this panel allows for discussion on pedagogical and methodological approaches, content knowledge areas and the delivery of such a novel programme, along with challenges faced, to inform and learn from other educators that are considering developing such programmes.","PeriodicalId":274484,"journal":{"name":"Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125140947","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

Exploring Self-Efficacy in Data Science 探索数据科学中的自我效能

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532131

Paul C. Hamerski, Devin W. Silvia, Marcos D. Caballero

{"title":"Exploring Self-Efficacy in Data Science","authors":"Paul C. Hamerski, Devin W. Silvia, Marcos D. Caballero","doi":"10.1145/3502717.3532131","DOIUrl":"https://doi.org/10.1145/3502717.3532131","url":null,"abstract":"Data science is often heralded as a key learning goal for students in STEM classrooms. There are also myriad efforts to integrate data science into these classrooms, and many dedicated research efforts for identifying the best ways to do so. However, the problem is that there is little agreement on how to introduce data science to students, whether it be through computer science courses where students can learn programming, through STEM courses where students can learn disciplinary knowledge, or through newly designed data science centric courses. Furthermore, best practices for teaching data science require an understanding of what data science is from students' perspectives, and how they experience it. This poster explores this problem by showcasing an interview study of an undergraduate course offered at Michigan State University, which focuses on computational modeling and data analysis. Students in this course learn data science via problem-based group work and apply it to several disciplinary contexts. The interview study examines how students perceived what they learned, and how their self-efficacy developed over the course of the semester. In effect, we demonstrate a course where students are learning data science, identify the key features of the course that students perceive, and build an understanding of data science self-efficacy, which can be used to help design positive, effective experiences in data science courses.","PeriodicalId":274484,"journal":{"name":"Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131800925","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

A Capture The Flag (CTF) Platform and Exercises for an Intro to Computer Security Class 捕获旗(CTF)平台和练习介绍计算机安全类

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532153

Zack Kaplan, Ning Zhang, Stephen V. Cole

引用次数: 0

How Do Students Learn to Program?: Investigating Theory and Practice with Learning Analytics 学生如何学习编程?:研究理论与实践与学习分析

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532110

Julie M. Smith

引用次数: 1

The Case for Q-Methodology in Computing Education Research q -方法论在计算机教育研究中的应用

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532144

J. Allison

引用次数: 0

Developing and Evaluating Scaffolding for Student-Generated Analogies in CS1 CS1中学生生成类比的构建与评价

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532114

Colton Harper

引用次数: 2

Hackathons as a Tool for Authentic Learning 黑客马拉松是真实学习的工具

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532157

Mairéad Hogan

引用次数: 2

Getting computer science students to become 'Test Infected' within Design Based Education 让计算机科学专业的学生在基于设计的教育中成为“测试感染”

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532112

N. Doorn

引用次数: 0

RDeF

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532158

Christian Fleiner, Julian Grümmer, Goran Zvekan

引用次数: 0

Planning a Multi-institutional and Multi-national Study of the Effectiveness of Parsons Problems 规划帕森斯问题有效性的多机构和多国研究

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI: 10.1145/3502717.3532172

B. Ericson, Paul Denny, J. Prather, Rodrigo Duran, Arto Hellas, Juho Leinonen, Craig S. Miller, Briana B. Morrison, Janice L. Pearce, S. Rodger

{"title":"Planning a Multi-institutional and Multi-national Study of the Effectiveness of Parsons Problems","authors":"B. Ericson, Paul Denny, J. Prather, Rodrigo Duran, Arto Hellas, Juho Leinonen, Craig S. Miller, Briana B. Morrison, Janice L. Pearce, S. Rodger","doi":"10.1145/3502717.3532172","DOIUrl":"https://doi.org/10.1145/3502717.3532172","url":null,"abstract":"Programming is a complex task that requires the development of many skills including knowledge of syntax, problem decomposition, algorithm development, and debugging. Code-writing activities are commonly used to help students develop these skills, but the difficulty of writing code from a blank page can overwhelm many novices. Parsons problems offer a simpler alternative to writing code by providing scrambled code blocks that must be placed in the correct order to solve a problem. The extensive literature on Parsons problems documents numerous benefits to using them as both formative and summative assessments. These include more efficient learning, the possibility to dynamically adapt to learner needs, and more reliable grading. Despite these positive findings, further research is needed in order to draw broader inferences. Most work has been conducted at single institutions under unique conditions that are not easily replicated, and some prior studies have been inconclusive or had limitations that affected data validity. To address this, we propose a multi-institutional and multi-national study of the effectiveness of Parsons problems for novice programmers. We will focus on introductory programming courses (CS0/1/2) that use Java, Python, and C/C++ as these are the most common teaching languages. The working group will collaborate to refine the scope, methodology and research questions, and contribute to data collection and analysis.","PeriodicalId":274484,"journal":{"name":"Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124920675","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: 2