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Quantifying the Corona Effect: How much the pandemic-induced switch from face-to-face to online teaching increased students' self-efficacy – a practical report. 量化冠状效应:大流行导致的从面对面教学到在线教学的转变在多大程度上提高了学生的自我效能感——一份实用报告。
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556865
Nicolas Fahrni, A. Repenning
This practical report explores the impact of forced learning design changes due to the Corona pandemic. At the School of Education Northwestern Switzerland over 2000 K-6 pre-service elementary school teachers got educated in computer science and computer science education over the last five years employing a learning design evolved through a Design Based Implementation Research (DBIR) approach. Assessing efficacy of the course through effect sizes the 2019 courses have served as pre-Corona baseline. Changing hastily in 2020 to online learning dramatically shifted the learning design in ways not initially anticipated in the DBIR process. Collaborative face-to-face (f2f) learning activities got replaced with individual online learning. Employing effect sizes has allowed us to quantify a Corona effect by comparing self-efficacy measures before Corona and during Corona. While there where only small effect sizes (0.5 > Cohen's d ≥ 0.2) all these small effects were positive suggesting that the individual/online seminar worked slightly better than the collaborative/f2f seminar. The report highlights the most important changes to the learning design and compares 2019 with 2020 using effect sizes. For the most part the report can only speculate about the most relevant factors in the design change resulting in the unexpected overall improvement of course efficacy. It could be the shift from collaborative to individual practices, the mandatory peer feedbacks, or the online learning situation.
这份实用报告探讨了因冠状病毒大流行而被迫改变学习设计的影响。在瑞士西北教育学院,2000多名K-6职前小学教师在过去五年中接受了计算机科学和计算机科学教育的教育,采用了一种通过基于设计的实施研究(DBIR)方法发展的学习设计。通过效应大小评估课程的有效性,2019年的课程已作为冠状病毒前的基线。2020年仓促转向在线学习极大地改变了学习设计,这是DBIR过程最初没有预料到的。协作式面对面(f2f)学习活动被个人在线学习所取代。采用效应量使我们能够通过比较冠状病毒感染前和冠状病毒感染期间的自我效能测量来量化冠状病毒感染效应。虽然只有很小的效应大小(0.5 bb0 Cohen’s d≥0.2),但所有这些小的影响都是积极的,这表明个人/在线研讨会的效果略好于协作/f2f研讨会。该报告强调了学习设计的最重要变化,并使用效应量将2019年与2020年进行了比较。在大多数情况下,该报告只能推测设计变更中最相关的因素,从而导致课程功效的意外整体改善。它可能是从合作到个人实践的转变,强制性的同伴反馈,或者在线学习的情况。
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引用次数: 0
”Roteco” - a Swiss teacher community for educational robotics “Roteco”——瑞士教育机器人教师社区
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556808
Dorit Assaf, Sophia Reyes Mury, Lucio Negrini, Melissa Skweres
Computer Science has been introduced as a new subject in the compulsory school curriculum in Switzerland. Research on educational robotics has highlighted potentials of using robots as a hands-on tool to foster computational thinking skills. However, to date these kind of activities are not carried out systematically in schools. To support teachers, a teacher community for educational robotics and computer science education ”Roteco” has been established. Teachers can register for free to a digital platform to find classroom-ready activities, news, articles, and information about training and workshops in their region. Roteco further organizes webinars and events to build the community. Within two years, more than 1,400 teachers have joined the community. In this abstract, we present Roteco, our experiences in establishing the community, platform analytics data as well as a short summary of results from two surveys conducted in 2020 with 87 and in 2021 with 48 teachers. Detailed results can be found in the corresponding journal article [11].
计算机科学作为一门新学科被引入瑞士的义务教育课程。教育机器人的研究强调了使用机器人作为培养计算思维技能的动手工具的潜力。然而,到目前为止,这些活动还没有在学校系统地开展。为了支持教师,一个教育机器人和计算机科学教育的教师社区“Roteco”已经成立。教师可以在一个数字平台上免费注册,以查找他们所在地区的课堂活动、新闻、文章以及有关培训和研讨会的信息。Roteco进一步组织网络研讨会和活动来建立社区。两年内,有1400多名教师加入了这个社区。在这篇摘要中,我们介绍了Roteco,我们在建立社区方面的经验,平台分析数据以及对2020年对87名教师和2021年对48名教师进行的两次调查结果的简短总结。详细结果可参见相应的期刊文章[11]。
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引用次数: 0
BYTE Challenge - from competition to STEM platform BYTE挑战赛-从竞赛到STEM平台
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556863
Clarissa Sabrina Arlinghaus, Stefan Hildebrand, Carol Neumann
The BYTE Challenge is a project of the Gesellschaft für Informatik e.V. (German Informatics Society) which was held for the first time from March to June 2021 as a Computer Science competition for students from all over Germany. More than 800 students from grades 6 to 10 from over 80 schools participated. This report describes the exploratory evaluation of BYTE’21 and gives an outlook for BYTE’22: BYTE courses are equally feasible at preparatory high schools (Gymnasium) and other secondary schools (Oberschule), whereas the results reflect interindividual differences in performance. The course materials is suitable for students of all school types starting from the age of 10. Heterogeneous prior knowledge is balanced out by the course materials. Most participants were able to complete the courses well, found the topics interesting and the difficulty appropriate. The courses on artificial intelligence and game design were particularly popular. Registrations of entire classes are in great demand. Results, feedback and experience were used to expand the challenge into a permanent STEM platform in 2022 for individual pupils and entire school classes.
BYTE挑战赛是德国信息学协会(Gesellschaft f r Informatik e.v.)的一个项目,于2021年3月至6月首次举办,是德国各地学生的计算机科学竞赛。来自80多所学校的800多名六年级至十年级学生参加了此次活动。本报告描述了对BYTE ' 21的探索性评估,并对BYTE ' 22进行了展望:BYTE课程在预备高中(Gymnasium)和其他中学(Oberschule)同样可行,而结果反映了个体之间的表现差异。教材适用于10岁以上各类学校的学生。不同的先验知识被课程材料所平衡。大多数参与者都能很好地完成课程,发现主题有趣,难度合适。人工智能和游戏设计方面的课程尤其受欢迎。整个班级的报名需求很大。结果,反馈和经验被用来将挑战扩展到2022年的单个学生和整个学校班级的永久性STEM平台。
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引用次数: 0
Addressing challenges of constructionist modeling of adaptive systems 解决自适应系统的建构主义建模的挑战
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556870
Uwe Lorenz, R. Romeike
How should computer-based educational tools represent Machine Learning (ML) systems for didactic purposes? We address this question using constructionist learning theory and the intelligent agent paradigm of AI. ML in this context is understood as generating and improving ”goal-directed” system behaviors by iteratively maximizing a ”goal function”. We give a theoretical outline of the problem domain along the questions: How independent can ML concepts be from concepts of classical computer science (CS)? What are central concepts and processes that ML possesses? What are important properties of structural models of this kind of systems conducive to comprehension? Finally, we propose some design features of educational informatics tools for teaching ML and outline further research needs.
基于计算机的教育工具应该如何代表用于教学目的的机器学习(ML)系统?我们使用建构主义学习理论和人工智能的智能代理范式来解决这个问题。在这种情况下,机器学习被理解为通过迭代最大化“目标函数”来生成和改进“目标导向”的系统行为。我们沿着以下问题给出了问题域的理论概述:机器学习概念如何独立于经典计算机科学(CS)的概念?ML拥有的核心概念和过程是什么?这类系统的结构模型有哪些有利于理解的重要属性?最后,我们提出了一些用于机器学习教学的教育信息学工具的设计特点,并概述了进一步的研究需求。
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引用次数: 0
Grasping the Concept of Decentralized Systems for Instant Messaging 掌握分散式即时通讯系统的概念
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556864
Luisa Gebhardt, M. Leinweber, F. Jacob, H. Hartenstein
Whether a centralized, distributed, or decentralized system approach is selected for Internet-based services affects sovereignty and responsibilities of users and providers alike. Therefore, computer science education can contribute to informed decision-making and citizenship education by teaching power structures of and responsibilities in digital infrastructures. In this practical report, we focus on the example of instant messaging. We analyze three different algorithms for instant messaging that vary in their degree of (de-) centralization. Based on the analysis, we propose a teaching activity called Klemmchat using the concept of computer science unplugged to educate students on the discovered key aspects and trade-offs. We report on results obtained by teaching Klemmchat in two classes in grades 11 and 12. The evaluation shows that the activity is suitable for conveying trade-offs and helping students to engage with the topic. The results, however, leave open whether the acquired understanding affects usage decisions.
为基于internet的服务选择集中、分布式还是分散的系统方法都会影响用户和提供者的主权和责任。因此,计算机科学教育可以通过教授数字基础设施中的权力结构和责任来促进知情决策和公民教育。在这个实践报告中,我们将重点关注即时消息传递的示例。我们分析了三种不同的即时通讯算法,它们的(去)集中化程度各不相同。在此基础上,我们提出了一项名为Klemmchat的教学活动,该活动使用“不插电计算机科学”的概念来教育学生发现的关键方面和权衡。我们报告了在11年级和12年级的两个班教授Klemmchat的结果。评估表明,该活动适合传达权衡和帮助学生参与的主题。然而,结果表明,获得的理解是否会影响使用决策。
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引用次数: 1
Teaching Mathematical Modeling with Computing Technology: Presentation of a Course based on Evacuations 运用计算技术进行数学建模教学:以疏散为基础的课程介绍
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556802
André Greubel, Hans-Stefan Siller, Stefan Ruzika, Lynn Knippertz
Mathematical modeling is considered a crucial skills, both in modern life and STEM education. Prior research has identified the relevance of working on complex and authentic modelings problems in education. However, up to this point, little of the courses proposed in this area explicitly focus on the role of comprehensive computing technology during mathematical modeling. We bridge this gap by presenting a design and ready-to-use technology for an interdisciplinary course that introduces students to mathematical modeling of complex systems with comprehensive technology. In the course, students are introduced to grid automatons as basic computing model. Furthermore, they can increase their knowledge of mathematical modeling and algorithmic thinking. In this paper, we develop a didactic structure for such a course and present educational technology developed to support this structure. The structure itself consists of three simulation environments and is based on the following problem: “How can we estimate the time it takes to evacuate our school (without an experiment)?”. We describe the structure of the course and the simulation environments in more details and outline potential exercises for such a course.
数学建模被认为是现代生活和STEM教育的关键技能。先前的研究已经确定了在教育中研究复杂和真实的建模问题的相关性。然而,到目前为止,在这一领域提出的课程中,很少明确地关注综合计算技术在数学建模中的作用。我们通过为跨学科课程提供设计和现成的技术来弥合这一差距,该课程向学生介绍了具有综合技术的复杂系统的数学建模。本课程将向学生介绍网格自动机作为基本的计算模型。此外,他们可以增加他们的数学建模和算法思维的知识。在本文中,我们为这种课程开发了一种教学结构,并介绍了为支持这种结构而开发的教育技术。该结构本身由三个模拟环境组成,并基于以下问题:“我们如何估计疏散我们学校所需的时间(没有实验)?”我们更详细地描述了课程的结构和模拟环境,并概述了此类课程的潜在练习。
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引用次数: 0
Brief Summary of Existing Research on Students’ Conceptions of AI 学生人工智能概念研究现状综述
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556872
Erik Marx, Thiemo Leonhardt, Nadine Bergner
Already now, pupils come into contact with many phenomena of computer science (CS), especially artificial intelligence (AI) technologies, which appear in different forms and in a variety of applications, in their everyday lives. In this work we present insights into students’ conceptions of AI. For this purpose already conducted research in the field is analysed and initial findings are presented. According to these, students associate AI particularly with autonomously acting systems, which are characterised primarily by human characteristics or behaviour. Finally avenues for further research are identified.
现在,学生们已经接触到计算机科学(CS)的许多现象,特别是人工智能(AI)技术,它们以不同的形式和各种应用出现在他们的日常生活中。在这项工作中,我们提出了学生对人工智能概念的见解。为此目的,对该领域已经进行的研究进行了分析,并提出了初步调查结果。根据这些,学生们特别将人工智能与自主行为系统联系在一起,这些系统主要以人类的特征或行为为特征。最后指出了进一步研究的途径。
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引用次数: 4
A Model for Infusing Computational Thinking Skills at Teacher Colleges in a Developing Country 发展中国家师范院校计算机思维能力培养模式
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556869
J. Simmonds, F. Gutiérrez, N. Hitschfeld-Kahler, Catalina Torrent, Cecilia Casanova, Sebastián Toro-Guajardo, Valentín Muñoz
Current advances emphasize that young learners benefit from developing and applying computational thinking (CT) skills to solve problems in a variety of subjects, not limited to mathematics and science. Under this scenario, the inclusion of CT in primary and secondary education will not scale up if pre-service teachers do not actively acquire these skills during their formation. However, how this should be done is not clear. We propose an integration model to infuse CT skills at teacher colleges in Chile, which takes into account our previous work on the topic, as well as current standards, interests, and educational policies in Chile.
目前的进展强调,年轻学习者受益于发展和应用计算思维(CT)技能来解决各种学科的问题,而不仅仅局限于数学和科学。在这种情况下,如果职前教师在其形成过程中没有积极地获得这些技能,那么将CT纳入中小学教育就不会扩大。然而,如何做到这一点尚不清楚。我们提出了一个整合模式,将CT技能注入智利师范学院,该模式考虑了我们之前在该主题上的工作,以及智利当前的标准、兴趣和教育政策。
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引用次数: 0
Beliefs and Expectations of Primary Student Teachers in Informatics 信息学小学生教师的信念与期望
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556868
B. Spieler, Tobias M. Schifferle, Tobias Berner
With the new ”Curriculum 21” in the German-speaking part of Switzerland, media education and informatics have become much more important for compulsory education. However, introducing a new subject is a challenging task. Most university students had no or only very limited opportunities to be exposed to topics of computer science (CS) topics during their school years. To learn more about students’ beliefs and experiences, a preliminary survey was conducted. Open questions were asked to first-year students (n=251) and students in their last semester who had not yet taken any informatics classes during their studies (n=212). However, the students in their last semester had already completed internships in which they could participate in or conduct “Media and Informatics (MI)” classes. This difference is reflected in the responses: The students of the first semester more often mentioned application skills, and a negative attitude towards CS became apparent. In contrast, the students of the last semester frequently named teaching methods and characteristics of informatics classes.
随着瑞士德语区实施新的“21世纪课程”,媒体教育和信息学在义务教育中变得更加重要。然而,引入一门新学科是一项具有挑战性的任务。大多数大学生在上学期间没有或只有非常有限的机会接触到计算机科学(CS)主题。为了更多地了解学生的信仰和经历,我们进行了初步调查。向一年级学生(n=251)和最后一个学期尚未学习任何信息学课程的学生(n=212)提出开放式问题。然而,学生们在最后一个学期已经完成了实习,他们可以参加或主持“媒体和信息学(MI)”课程。这种差异反映在回答上:第一学期的学生更多地提到应用技能,对CS的消极态度变得明显。相比之下,上学期学生频繁点名信息学课程的教学方法和特点。
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引用次数: 0
Designing a Research Approach to Investigate Computer Science Student Teachers’ Beliefs on AI in School 设计一种调查学校计算机科学专业学生教师对人工智能信念的研究方法
Pub Date : 2022-10-31 DOI: 10.1145/3556787.3556812
Gia Minh Vo, Alexander Best, Nils Pancratz
The rising topic of artificial intelligence (AI) is becoming increasingly popular in secondary schools. Due to the recent integration of AI into various school curricula, the topic is gaining more and more importance in Computer Science (CS) Education Research as well. However, prospective CS secondary school teachers hold pre-existing beliefs on AI in school and its relevance. These beliefs thus affect students’ beliefs in the future. In this context, this upcoming research project aims to find an applicable and comprehensive design approach to identify the explicit (i.e. conscious) and implicit (i.e. unconscious) CS student teachers’ beliefs on AI in secondary schools. As a long-term study, the first steps of the process of determining beliefs on AI are described, and ideas for the research design are elaborated.
人工智能(AI)这个新兴话题在中学越来越受欢迎。由于最近人工智能被整合到各种学校课程中,这个话题在计算机科学(CS)教育研究中也变得越来越重要。然而,未来的CS中学教师对学校中的人工智能及其相关性持有预先存在的信念。因此,这些信念会影响学生对未来的信念。在此背景下,本即将开展的研究项目旨在寻找一种适用且全面的设计方法来识别中学CS学生教师对AI的显式(即有意识)和内隐式(即无意识)信念。作为一项长期研究,本文描述了确定人工智能信念过程的第一步,并阐述了研究设计的思路。
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引用次数: 0
期刊
Proceedings of the 17th Workshop in Primary and Secondary Computing Education
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