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Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2最新文献

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Investigating the impact of Collaborative Annotation on Student Quality of Learning 协作注释对学生学习质量的影响研究
Mark Patrick McCormack
Collaborative Annotation is a strategy that engages students in critical thinking, writing, and collaboration [1]. My PhD investigates the effect and role Collaborative Annotation plays as an assessment strategy and how it impacts students' learning, and the quality of that learning. My research investigates pedagogical approaches and research possibilities that can further improve its impact on collaborative learning contexts and student assessment in the future. Preliminary investigations, conducted in my first year suggest that there is a positive correlation between Collaborative Annotation and student quality of learning and that the research merits further study and reflection.
协作注释是一种让学生参与批判性思维、写作和协作的策略[1]。我的博士研究了协作注释作为一种评估策略的效果和作用,以及它如何影响学生的学习和学习质量。我的研究调查了教学方法和研究的可能性,可以进一步提高其对协作学习环境和学生评估的影响。我在第一年进行的初步调查表明,协作注释与学生学习质量之间存在正相关关系,值得进一步研究和反思。
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引用次数: 0
Microworlds for Programming Bebras Tasks in Czechia 在捷克编程Bebras任务的微世界
J. Vaníček, Václav Šimandl
The poster presents Bebras informatics tasks based on assembling a program from blocks. These tasks were created in templates based on Papert's microworlds and they familiarize pupils with classical problems used in CS education. In these microworlds, pupils create and run a program which controls a sprite in order to solve a problem emerging from a described situation. We created four such templates. Each template was supplied with its own set of tasks, differing in a topic, a subject matter and graphics. We created more than 100 tasks in total. As pupils go through each task, they repeatedly run the created program while the system provides them with feedback. Some of the tasks were included into the Czech Bebras Challenge, whereas from others we created sets of tasks (like Hour of code) usable in lessons. More than 430 000 pupils aged 10 to 19 from hundreds of Czech schools tried these tasks in 2021, 2022. Our experience shows that these tasks with their interactivity can attract pupils to the contest and thus can contribute to advance pupils' informatics skills.
这张海报展示了Bebras的信息学任务,基于从模块组装程序。这些任务是在基于Papert微世界的模板中创建的,它们使学生熟悉计算机科学教育中使用的经典问题。在这些微世界中,学生们创建并运行一个程序来控制精灵,以解决所描述的情况下出现的问题。我们创建了四个这样的模板。每个模板都提供了自己的一组任务,在主题、主题和图形方面有所不同。我们总共创建了100多个任务。当学生们完成每项任务时,他们会反复运行创建的程序,而系统会向他们提供反馈。其中一些任务包含在捷克Bebras挑战赛中,而从其他任务中我们创建了可用于课程的任务集(如Hour of code)。2021年和2022年,来自捷克数百所学校的43万多名10至19岁的学生尝试了这些任务。我们的经验表明,这些具有互动性的任务可以吸引学生参加比赛,从而有助于提高学生的信息技能。
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引用次数: 0
Investigating the Progression of Programmers' Mental Models 调查程序员心智模型的发展
Leah Bidlake, E. Aubanel, D. Voyer
Research on mental model representations developed by programmers during parallel program comprehension is important for informing and advancing teaching methods including model based learning and visualizations. However, there is a significant lack of empirical research on mental models formed during the comprehension of parallel programs. We present an empirical method for externalizing and mapping mental models of learners and its novel application to a programming context. Participants externalize their mental models by drawing diagrams to depict the execution of a parallel program during a code tracing task. The code tracing task is performed prior to and during instruction on parallel programming in C using OpenMP. The progression of the mental models is analyzed using a rubric to determine how they developed and changed as participants learned. This poster presents our work in progress and preliminary results.
研究程序员在并行程序理解过程中形成的心智模型表征,对于指导和推进基于模型的学习和可视化等教学方法具有重要意义。然而,对并行程序理解过程中形成的心理模型的实证研究明显缺乏。我们提出了一种外化和映射学习者心理模型的经验方法,并将其新颖地应用于编程环境。参与者通过绘制图表来描述代码跟踪任务期间并行程序的执行情况,从而将他们的心智模型具体化。代码跟踪任务是在使用OpenMP进行C语言并行编程之前和期间执行的。心智模型的发展是用一个规则来分析的,以确定它们是如何随着参与者的学习而发展和变化的。这张海报展示了我们正在进行的工作和初步结果。
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引用次数: 2
Lessons from Continuing Vocational Training Courses for Computer Science Education 计算机科学教育继续职业训练课程的经验教训
Jens Dörpinghaus, Johanna Binnewitt, Kristine Hein
The labor market heavily relies on both vocational and academic education and training, re-training and advanced vocational qualification to meet challenges, e.g. the advancing digitalization[2, 3]. Continuing education is a central prerequisite for securing skilled labor, for ensuring the employability of all employees and thus also for national competitiveness and innovation. From the perspective of education and labor market research, several approaches discuss how the impact of computer science education can be evaluated. Other research focuses on the needs of the labor market, by analysing job advertisements. In order to broaden the perspective on the entire range of CVET courses and to be able to gain new insights from this, our analysis is intended to provide an initial overview of the content of CVET courses in Germany. By that, we offer structured information on skills and competencies that are included in current CVET courses. In future research, this information can be compared to labor market needs, e.g. described in job advertisements, in order to identify education gaps. Since CVET courses are often described in unstructured natural language, text mining-methods are key to extract information on skills and competencies. Here, we present an analysis of 84,310 advertisements for CVET courses from 2023 that are divided into 83 different computer science (CS) related categories.
劳动力市场严重依赖职业和学术教育与培训、再培训和高级职业资格来应对挑战,例如不断推进的数字化[2,3]。继续教育是确保熟练劳动力、确保所有雇员的就业能力,从而也是国家竞争力和创新的核心先决条件。从教育和劳动力市场研究的角度来看,有几种方法讨论了如何评估计算机科学教育的影响。其他研究则通过分析招聘广告来关注劳动力市场的需求。为了扩大对整个CVET课程范围的视野,并能够从中获得新的见解,我们的分析旨在提供德国CVET课程内容的初步概述。通过这种方式,我们提供当前CVET课程中包含的技能和能力的结构化信息。在未来的研究中,这些信息可以与劳动力市场需求进行比较,例如在招聘广告中描述,以确定教育差距。由于CVET课程通常以非结构化的自然语言描述,文本挖掘方法是提取技能和能力信息的关键。在这里,我们对2023年以来的84,310个CVET课程广告进行了分析,这些广告被分为83个不同的计算机科学(CS)相关类别。
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引用次数: 0
Understanding Computer Science Teacher Capacity 理解计算机科学教师的能力
Sujeeth Goud Ramagoni
Every student deserves to have a highly qualified teacher. Increasing certified Computer Science (CS) teacher capacity is essential for our region to provide enough CS teachers to sustain the current rate of CS growth. My dissertation focuses on synthesizing a high-level overview of reporting on secondary school teacher certification and student enrollment data from the academic years of 2016 through 2021.
每个学生都值得拥有一位高素质的老师。提高注册计算机科学(CS)教师的能力对于我们地区提供足够的CS教师以维持当前的CS增长速度至关重要。我的论文重点是综合2016年至2021学年的中学教师认证和学生入学数据报告的高层次概述。
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引用次数: 1
Exploring Computing Science Programs' Admission Procedures with a Diversity and Inclusion Lens 从多元化和包容性的角度探讨计算机科学专业的录取程序
Ouldooz Baghban Karimi, Giulia Toti, Mirela Gutica, Rebecca Robinson, Lisa Zhang, James H. Paterson, Peggy Lindner, M. O'Dea
Computing science education has experienced low attendance and historic declines in registration from different minority groups. The past decade of enrollment surge in computer science undergraduate programs has increased the number of women and minorities in the field, but the improvements are inconsistent and less than expected. An increase in the use of computing science and in the demand of technology workforce is expected in the upcoming years. Thus, computing science is set to shape the future of technology for a diverse set of technology users. Therefore, it is important to analyze how undergraduate program admission procedures are affecting Equity, Diversity, and Inclusion of historically marginalized groups in computing science. Critical thinking, analytical skills, and problem-solving are considered some of the foundational skills for success in computing science. These qualities are often assessed throughout a student's academic career through grades. Additional factors such as leadership, motivation, intention, prior exposure, and community involvement are also sometimes considered while evaluating candidates in admission procedures. We will explore the factors assessed by different institutions when deciding to admit a student in computing science undergraduate programs and evaluate possible effects of such admissions procedures on diversity and inclusion. We aim to identify student success indicators and recommend equitable processes on the basis of our findings.
计算机科学教育的出勤率很低,来自不同少数群体的注册人数也出现了历史性的下降。过去十年,计算机科学本科专业的招生人数激增,增加了该领域的女性和少数族裔人数,但这种改善并不一致,而且低于预期。预计在未来几年,计算机科学的应用和对技术劳动力的需求将会增加。因此,计算机科学将为各种各样的技术用户塑造技术的未来。因此,分析本科项目录取程序如何影响计算机科学历史边缘化群体的公平、多样性和包容性是很重要的。批判性思维、分析能力和解决问题的能力被认为是在计算机科学领域取得成功的一些基本技能。这些品质通常在学生的整个学术生涯中通过成绩来评估。其他因素,如领导力、动机、意向、之前的接触和社区参与,有时也会在录取过程中评估候选人。我们将探讨不同院校在决定录取计算机科学本科专业学生时所评估的因素,并评估这种录取程序对多样性和包容性的可能影响。我们的目标是确定学生的成功指标,并根据我们的研究结果建议公平的过程。
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引用次数: 0
Transpiling Nand2Tetris to VHDL for Teaching Digital Logic 将《俄罗斯方块》翻译成VHDL进行数字逻辑教学
Noah Mogensen, Daniel DeFreez
Nand2Tetris is a popular introduction to digital logic and computer organization that uses a simplified hardware description language (HDL) to program a hardware simulator. The stripped-down HDL allows students to focus on concepts over ceremony, but does not support running designs on real, physical devices such as FPGAs. In contrast, designs written in an industrial-strength language such as VHDL or Verilog can be run on FPGAs, but are burdened with a significant learning curve. WHiDL is a source-to-source compiler that translates Nand2Tetris HDL to VHDL. The conversion to VHDL allows HDL programs to be run on an FPGA while retaining the simplicity of the original HDL.
Nand2Tetris是一个流行的数字逻辑和计算机组织的介绍,它使用简化的硬件描述语言(HDL)来编程硬件模拟器。简化的HDL允许学生专注于概念而不是仪式,但不支持在真实的物理设备(如fpga)上运行设计。相比之下,用工业强度语言(如VHDL或Verilog)编写的设计可以在fpga上运行,但需要大量的学习曲线。WHiDL是一个源到源编译器,可以将Nand2Tetris HDL转换为VHDL。转换为VHDL允许HDL程序在FPGA上运行,同时保留原始HDL的简单性。
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引用次数: 0
Fostering Upper Elementary AI Education: Iteratively Refining a Use-Modify-Create Scaffolding Progression for AI Planning 培养高等基础AI教育:迭代完善AI规划的使用-修改-创建脚手架进程
Bradford W. Mott, Anisha Gupta, Krista D. Glazewski, Anne T. Ottenbreit-Leftwich, C. Hmelo‐Silver, Adam Scribner, S. J. Lee, James Lester
The growing ubiquity of artificial intelligence (AI) is reshaping much of daily life. This in turn is raising awareness of the need to introduce AI education throughout the K-12 curriculum so that students can better understand and utilize AI. A particularly promising approach for engaging young learners in AI education is game-based learning. In this work, we present our efforts to embed a unit on AI planning within an immersive game-based learning environment for upper elementary students (ages 8 to 11) that utilizes a scaffolding progression based on the Use-Modify-Create framework. Further, we present how the scaffolding progression is being refined based on findings from piloting the game with students.
人工智能(AI)的日益普及正在重塑人们的日常生活。这反过来又提高了人们对在K-12课程中引入人工智能教育的必要性的认识,以便学生更好地理解和利用人工智能。吸引年轻学习者参与人工智能教育的一个特别有前途的方法是基于游戏的学习。在这项工作中,我们展示了我们的努力,在一个沉浸式的基于游戏的学习环境中为高年级小学生(8至11岁)嵌入一个关于人工智能规划的单元,该环境利用基于使用-修改-创建框架的脚手架进度。此外,我们提出了如何脚手架的进展是基于从试点游戏与学生的调查结果精制。
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引用次数: 0
Managing Group Projects in Undergraduate Computing 管理本科生计算机组项目
M. Scott, B. Alshaigy, A. Siegel, Mark Zarb
This panel convenes four educators, each from different institutions and each with experience managing group projects. Their expertise spans topics including: peer assessment and peer evaluation; entrepreneurship; transdisciplinarity; internationalisation; inclusivity; social values; educational technology and tools; feedback and feed-forward; peer rating; free-riders; as well as blended learning; and post-pandemic online discourse. They reflect on the delight of seeing students collaborate to deliver meaningful projects as well as the challenges posed by disengaged students. They also explore a common theme of discordance inherent to teamwork and systems to support student communities.
这个小组召集了四位教育工作者,他们分别来自不同的机构,都有管理小组项目的经验。他们的专业知识涵盖的主题包括:同行评估和同行评价;企业家精神;transdisciplinarity;国际化;包容性;社会价值;教育技术和工具;反馈与前馈;同伴评定;免费搭车者;以及混合式学习;以及大流行后的在线讨论。他们反映了看到学生合作交付有意义的项目的喜悦,以及不参与的学生带来的挑战。他们还探讨了一个共同的主题,即团队合作和支持学生社区的系统所固有的不协调。
{"title":"Managing Group Projects in Undergraduate Computing","authors":"M. Scott, B. Alshaigy, A. Siegel, Mark Zarb","doi":"10.1145/3587103.3594163","DOIUrl":"https://doi.org/10.1145/3587103.3594163","url":null,"abstract":"This panel convenes four educators, each from different institutions and each with experience managing group projects. Their expertise spans topics including: peer assessment and peer evaluation; entrepreneurship; transdisciplinarity; internationalisation; inclusivity; social values; educational technology and tools; feedback and feed-forward; peer rating; free-riders; as well as blended learning; and post-pandemic online discourse. They reflect on the delight of seeing students collaborate to deliver meaningful projects as well as the challenges posed by disengaged students. They also explore a common theme of discordance inherent to teamwork and systems to support student communities.","PeriodicalId":366365,"journal":{"name":"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128360659","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
Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning 鼓励机械工程专业学生通过项目学习学习机器学习
C. Kuo, Shih-Lin Wu
This poster aims at providing an interdisciplinary course (Medical Mechatronics and Control/ ME5053 in National Taiwan University/ Senior Undergraduate/ Graduate Students) designed to encourage the mechanical engineering (ME) students to learn about machine learning (ML) through project-based learning (PBL). Our syllabus design involves the electromyography (EMG) data collection, datasets and ML, and robotic manipulator control through recognizing EMG patterns via ML. Thus, students in ME become more attracted to learning computer science ML techniques through participation in robot-related courses via recognizing and classifying real EMG data.
这张海报旨在提供一门跨学科课程(医疗机电与控制/台大/大四本科生/研究生ME5053),旨在鼓励机械工程(ME)学生通过项目学习(PBL)来学习机器学习(ML)。我们的教学大纲设计包括肌电图(EMG)数据收集、数据集和机器学习,以及通过机器学习识别肌电图模式来控制机器人机械手。因此,通过参与机器人相关课程,通过识别和分类真实的肌电图数据,ME的学生更容易被计算机科学机器学习技术所吸引。
{"title":"Encouraging Mechanical Engineering Students to Learn Machine Learning via Project-based Learning","authors":"C. Kuo, Shih-Lin Wu","doi":"10.1145/3587103.3594168","DOIUrl":"https://doi.org/10.1145/3587103.3594168","url":null,"abstract":"This poster aims at providing an interdisciplinary course (Medical Mechatronics and Control/ ME5053 in National Taiwan University/ Senior Undergraduate/ Graduate Students) designed to encourage the mechanical engineering (ME) students to learn about machine learning (ML) through project-based learning (PBL). Our syllabus design involves the electromyography (EMG) data collection, datasets and ML, and robotic manipulator control through recognizing EMG patterns via ML. Thus, students in ME become more attracted to learning computer science ML techniques through participation in robot-related courses via recognizing and classifying real EMG data.","PeriodicalId":366365,"journal":{"name":"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131904120","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
期刊
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2
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