Pub Date : 2023-12-26DOI: 10.1080/08993408.2023.2290435
Chen Chen, Jonathan Rothwell, Pedrito Maynard-Zhang
Both in- and out-of-school computer science (CS) learning opportunities are expanding, but their influences on CS career interests are unclear.To investigate, we applied multinomial propensity scor...
校内和校外的计算机科学(CS)学习机会都在不断扩大,但它们对CS职业兴趣的影响尚不明确。
{"title":"In-school and/or out-of-school computer science learning influence on CS career interests, mediated by having role-models","authors":"Chen Chen, Jonathan Rothwell, Pedrito Maynard-Zhang","doi":"10.1080/08993408.2023.2290435","DOIUrl":"https://doi.org/10.1080/08993408.2023.2290435","url":null,"abstract":"Both in- and out-of-school computer science (CS) learning opportunities are expanding, but their influences on CS career interests are unclear.To investigate, we applied multinomial propensity scor...","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139053338","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}
Historically underrepresented youth in computer science persistently experience barriers making it difficult to see themselves in the computer science field including computer science programs and ...
{"title":"Transforming computer science education: exploration of computer science interest and identity of historically underrepresented youth","authors":"Cassie F. Quigley, Danielle Herro, Holly Plank, Aileen Owens, Oluwadara Abimbade","doi":"10.1080/08993408.2023.2292905","DOIUrl":"https://doi.org/10.1080/08993408.2023.2292905","url":null,"abstract":"Historically underrepresented youth in computer science persistently experience barriers making it difficult to see themselves in the computer science field including computer science programs and ...","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138685505","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}
Pub Date : 2023-12-07DOI: 10.1080/08993408.2023.2290410
Kristina Litherland, Anders Kluge
We explore the potential for understanding the processes involved in students’ programming based on studying their behaviour and dialogue with each other and “conversations” with their programs.Our...
{"title":"Learning to program as empirical inquiry: using a conversation perspective to explore student programming processes","authors":"Kristina Litherland, Anders Kluge","doi":"10.1080/08993408.2023.2290410","DOIUrl":"https://doi.org/10.1080/08993408.2023.2290410","url":null,"abstract":"We explore the potential for understanding the processes involved in students’ programming based on studying their behaviour and dialogue with each other and “conversations” with their programs.Our...","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138567899","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}
Pub Date : 2023-11-16DOI: 10.1080/08993408.2023.2272232
Anna van der Meulen, Mijke Hartendorp, Wendy Voorn, Felienne Hermans
In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of and approach to abstract ...
为了将视觉障碍学习者充分纳入早期编程教育,有必要深入了解他们在抽象编程方面的经验和方法。
{"title":"Observing the computational concept of abstraction in blind and low vision learners using the Bee-bot and Blue-bot","authors":"Anna van der Meulen, Mijke Hartendorp, Wendy Voorn, Felienne Hermans","doi":"10.1080/08993408.2023.2272232","DOIUrl":"https://doi.org/10.1080/08993408.2023.2272232","url":null,"abstract":"In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of and approach to abstract ...","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138531672","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}
Pub Date : 2023-11-10DOI: 10.1080/08993408.2023.2279198
Dandan Yang, Zhanxia Yang, Marina Umaschi Bers
ABSTRACTBackground and context Despite the growing importance of computer science (CS) education, high-quality CS curricula for students in kindergarten to lower elementary grades are lacking. It is also unclear how students from underrepresented groups such as female students, students from low socioeconomic status, and students with disability respond to CS curriculum at this age range.Objective This study is aimed to examine the effectiveness of a novel CS curriculum (Coding as Another Language – ScratchJr) on the development of programming and computational thinking skills for students in kindergarten to second grade classrooms.Method We conducted a randomized controlled trial with 1057 students and used multilevel regression analysis to examine the impact of the CAL curriculum on students’ coding and computational thinking skills, as well as moderation analysis to investigate how students’ demographic characteristics including gender, socioeconomic status, English learners and disability interacted with the intervention effectiveness.Findings The CAL curriculum was effective in improving students’ programming skills, but no significant differences were detected for students’ computational thinking skills. Students with limited English proficiency and students from low socioeconomic backgrounds achieved similar gain in coding skills but students with disabilities and female students did not demonstrate the same improvements as their peers.Implications These findings shed light on the educational efficacy of CAL as a promising CS curriculum for young children and underscore the importance of understanding how underrepresented minority students respond to the curriculum in order to better guide the development and design of the CS programs.KEYWORDS: computer science educationearly childhoodelementary schoolcomputational thinkingcurriculum AcknowledgmentsWe would like to express our appreciation to the students and teachers who participated in the study, as well as the research assistants and researchers at the DevTech Research group. We would like to also thank the Shaffer Evaluation Group for supervising and monitoring the study design, data collection and evaluation. Additionally, we extend our sincere gratitude to the Scratch Foundation for their invaluable support.Disclosure statementNo potential conflict of interest was reported by the author(s).Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/08993408.2023.2279198Additional informationFundingThis work was supported by the Department of Education IER program grant # U411C190006.
摘要背景与背景尽管计算机科学(CS)教育的重要性日益提高,但针对幼儿园至小学低年级学生的高质量CS课程却缺乏。同样不清楚的是,来自代表性不足群体的学生,如女学生、社会经济地位低的学生和残疾学生,在这个年龄段对计算机科学课程的反应如何。目的本研究旨在考察新型计算机科学课程(Coding as Another Language - ScratchJr)对幼儿园至二年级学生编程和计算思维技能发展的影响。方法采用随机对照试验方法,对1057名学生进行多水平回归分析,考察CAL课程对学生编码和计算思维能力的影响,并采用调节性分析,考察学生的性别、社会经济地位、英语学习者和残疾等人口统计学特征与干预效果的交互作用。结果CAL课程能有效提高学生的编程能力,但对学生的计算思维能力无显著影响。英语水平有限的学生和社会经济背景较低的学生在编程技能方面取得了类似的进步,但残疾学生和女学生没有表现出与同龄人相同的进步。这些发现揭示了CAL作为一门有前途的幼儿计算机科学课程的教育功效,并强调了了解未被充分代表的少数民族学生对课程的反应的重要性,以便更好地指导计算机科学课程的开发和设计。关键词:计算机科学教育幼儿小学计算思维课程致谢我们要向参与这项研究的学生和老师,以及DevTech研究小组的研究助理和研究人员表示感谢。我们还要感谢Shaffer评估小组对研究设计、数据收集和评估的监督和监督。此外,我们对Scratch基金会的宝贵支持表示诚挚的感谢。披露声明作者未报告潜在的利益冲突。补充材料本文的补充数据可在https://doi.org/10.1080/08993408.2023.2279198Additional上在线获取信息。本工作由教育部IER项目资助# U411C190006支持。
{"title":"The efficacy of a computer science curriculum for early childhood: evidence from a randomized controlled trial in K-2 classrooms","authors":"Dandan Yang, Zhanxia Yang, Marina Umaschi Bers","doi":"10.1080/08993408.2023.2279198","DOIUrl":"https://doi.org/10.1080/08993408.2023.2279198","url":null,"abstract":"ABSTRACTBackground and context Despite the growing importance of computer science (CS) education, high-quality CS curricula for students in kindergarten to lower elementary grades are lacking. It is also unclear how students from underrepresented groups such as female students, students from low socioeconomic status, and students with disability respond to CS curriculum at this age range.Objective This study is aimed to examine the effectiveness of a novel CS curriculum (Coding as Another Language – ScratchJr) on the development of programming and computational thinking skills for students in kindergarten to second grade classrooms.Method We conducted a randomized controlled trial with 1057 students and used multilevel regression analysis to examine the impact of the CAL curriculum on students’ coding and computational thinking skills, as well as moderation analysis to investigate how students’ demographic characteristics including gender, socioeconomic status, English learners and disability interacted with the intervention effectiveness.Findings The CAL curriculum was effective in improving students’ programming skills, but no significant differences were detected for students’ computational thinking skills. Students with limited English proficiency and students from low socioeconomic backgrounds achieved similar gain in coding skills but students with disabilities and female students did not demonstrate the same improvements as their peers.Implications These findings shed light on the educational efficacy of CAL as a promising CS curriculum for young children and underscore the importance of understanding how underrepresented minority students respond to the curriculum in order to better guide the development and design of the CS programs.KEYWORDS: computer science educationearly childhoodelementary schoolcomputational thinkingcurriculum AcknowledgmentsWe would like to express our appreciation to the students and teachers who participated in the study, as well as the research assistants and researchers at the DevTech Research group. We would like to also thank the Shaffer Evaluation Group for supervising and monitoring the study design, data collection and evaluation. Additionally, we extend our sincere gratitude to the Scratch Foundation for their invaluable support.Disclosure statementNo potential conflict of interest was reported by the author(s).Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/08993408.2023.2279198Additional informationFundingThis work was supported by the Department of Education IER program grant # U411C190006.","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135138479","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}
Pub Date : 2023-10-15DOI: 10.1080/08993408.2023.2268378
Michael Lachney, Madison C. Allen Kuyenga, Jada Phelps, Aman Yadav, Matt Drazin
ABSTRACTBackground & context Inspired by the nature-cultures of belonging from Black hair care, we conducted a design experiment to bridge computer science (CS) education, urban gardening, and cosmetology in a culturally responsive computing (CRC) library program.Objective The design was oriented around a small-scale aquaponics system to grow mint and lavender for making natural cosmetic products. We hypothesized that this could inform the design and implementation of computational thinking and computer programming educational activities.Methods We analyzed qualitative and quantitative data from the design experiment to theorize the processes of using the aquaponics system to enroll Black nature-cultures of belonging in the CRC program.Findings Given that the program supported children’s self-confidence in and knowledge of CS, nature-culture inspired CS education appears feasible.Implications Through respectful engagement with the discourses and practices of Black hair care, we provide insight into how nature-cultures can contribute to more diverse, inclusive, and pluralistic forms of CS education.KEYWORDS: Computer science educationculturally responsive computingnature-culturesBlack hair careaquaponics AcknowledgmentsWe would like to personally thank William Babbitt, Elizabeth LaPensée, Yolanda Rankin, and Jakita O. Thomas for their support of this work.Disclosure statementNo potential conflict of interest was reported by the authors.Ethical approvalAll procedures in this study that involved human subject research were approved by Michigan State University’s Institutional Review Board.Informed consentInformed consent was obtained from every individual who participated in this study.Additional informationFundingThis work was supported by the Science+Society@State; Joe L. Byers and Lucy Bates-Byers Endowment for Technology and Curriculum.
摘要背景与背景受到黑头发护理的自然文化归属感的启发,我们在一个文化响应型计算(CRC)图书馆项目中进行了一个连接计算机科学(CS)教育、城市园艺和美容的设计实验。目的设计一种小型水培系统,种植薄荷和薰衣草,用于生产天然化妆品。我们假设这可以为计算思维和计算机编程教育活动的设计和实施提供信息。方法对设计实验的定性和定量数据进行分析,对采用水培系统将黑人自然培养物纳入CRC计划的过程进行理论分析。鉴于该项目支持了儿童对计算机科学的自信和知识,自然文化启发的计算机科学教育似乎是可行的。通过对黑发护理的话语和实践的尊重,我们深入了解了自然文化如何促进更多样化、包容性和多元化的CS教育形式。关键词:计算机科学教育,文化响应计算,自然文化,黑头发护理,生态共生感谢我们个人感谢William Babbitt, Elizabeth lapens, Yolanda Rankin和Jakita O. Thomas对这项工作的支持。披露声明作者未报告潜在的利益冲突。伦理审批本研究中涉及人类受试者研究的所有程序均经密歇根州立大学机构审查委员会批准。知情同意每位参与本研究的个体均获得了知情同意。本研究由Science+Society@State;Joe L. Byers和Lucy Bates-Byers技术和课程基金会。
{"title":"“Everybody’s searching their roots”: centering Black nature-cultures of belonging in non-compulsory computer science education","authors":"Michael Lachney, Madison C. Allen Kuyenga, Jada Phelps, Aman Yadav, Matt Drazin","doi":"10.1080/08993408.2023.2268378","DOIUrl":"https://doi.org/10.1080/08993408.2023.2268378","url":null,"abstract":"ABSTRACTBackground & context Inspired by the nature-cultures of belonging from Black hair care, we conducted a design experiment to bridge computer science (CS) education, urban gardening, and cosmetology in a culturally responsive computing (CRC) library program.Objective The design was oriented around a small-scale aquaponics system to grow mint and lavender for making natural cosmetic products. We hypothesized that this could inform the design and implementation of computational thinking and computer programming educational activities.Methods We analyzed qualitative and quantitative data from the design experiment to theorize the processes of using the aquaponics system to enroll Black nature-cultures of belonging in the CRC program.Findings Given that the program supported children’s self-confidence in and knowledge of CS, nature-culture inspired CS education appears feasible.Implications Through respectful engagement with the discourses and practices of Black hair care, we provide insight into how nature-cultures can contribute to more diverse, inclusive, and pluralistic forms of CS education.KEYWORDS: Computer science educationculturally responsive computingnature-culturesBlack hair careaquaponics AcknowledgmentsWe would like to personally thank William Babbitt, Elizabeth LaPensée, Yolanda Rankin, and Jakita O. Thomas for their support of this work.Disclosure statementNo potential conflict of interest was reported by the authors.Ethical approvalAll procedures in this study that involved human subject research were approved by Michigan State University’s Institutional Review Board.Informed consentInformed consent was obtained from every individual who participated in this study.Additional informationFundingThis work was supported by the Science+Society@State; Joe L. Byers and Lucy Bates-Byers Endowment for Technology and Curriculum.","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136185389","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}
Pub Date : 2023-10-12DOI: 10.1080/08993408.2023.2255058
Camilo Vieira, J. Chiu, B. Velasquez
ABSTRACTBackground and Context Computational thinking (CT) is a fundamental skill and a new form of literacy that everyone should develop to participate in civic society. Sequencing and algorithmic thinking are at the core of CT. This study looked into how young children enrolled in a kindergarten in Colombia develop CT skills.Objective This paper aims to develop a learning progression of sequencing and algorithm design for early childhood. This goal is complemented by identifying the challenges children face to advance into more sophisticated approaches to problem-solving using algorithmic thinking.Method Fourteen five- and six-year-old students participated in this study. These children participated in unplugged learning activities, and solved two sets challenges with the BeeBot. We used a grounded theory approach to analyze how they solved these algorithmic thinking activities and the challenges they faced in this process.Findings Our results suggest four increasingly sophisticated approaches to solving these activities: step-by-step, simple decomposition, advanced decomposition, and full algorithm design. We also found different challenges students faced when working on these activities. These challenges can relate to critical cognitive skills.Implications These results will enable educators to support student learning about CT. These results also open new questions about the relationship between cognitive skills and CT activities in early childhood.KEYWORDS: Computational thinkingearly childhoodlearning progressionsequencingalgorithmic thinkingvisuospatial skills AcknowledgmentsWe would like to thank Mariana Arboleda, Gabriela de la Rosa, Roxana Quintero, Britny Velasquez, Gisella Jassir, and Angélica Carrasquilla for all the data collection support.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThe work was supported by the Fulbright Colombia and Center for Global Inquiry and Innovation at theUniversity of Virginia.
摘要计算思维(Computational thinking, CT)是每个人参与公民社会都应该培养的一种基本技能和一种新的素养形式。排序和算法思维是CT的核心。这项研究调查了在哥伦比亚一所幼儿园就读的幼儿如何发展CT技能。目的开发一种适合幼儿学习的排序和算法设计方法。这一目标的补充是,确定儿童面临的挑战,以便使用算法思维进入更复杂的解决问题的方法。方法14名5 ~ 6岁学生参与本研究。这些孩子参加了不插电学习活动,并通过BeeBot解决了两组挑战。我们用扎根理论的方法来分析他们是如何解决这些算法思维活动的,以及他们在这个过程中面临的挑战。我们的研究结果提出了四种越来越复杂的方法来解决这些活动:逐步分解,简单分解,高级分解和完整的算法设计。我们还发现学生们在进行这些活动时面临着不同的挑战。这些挑战可能与关键的认知技能有关。这些结果将使教育者能够支持学生学习CT。这些结果也为儿童早期认知技能和CT活动之间的关系提出了新的问题。我们要感谢Mariana Arboleda、Gabriela de la Rosa、Roxana Quintero、Britny Velasquez、Gisella Jassir和angsamicica Carrasquilla对所有数据收集的支持。披露声明作者未报告潜在的利益冲突。这项工作得到了哥伦比亚富布赖特基金会和弗吉尼亚大学全球研究与创新中心的支持。
{"title":"Towards a learning progression of sequencing and algorithm design for five- and six-years-old children engaging with an educational robot","authors":"Camilo Vieira, J. Chiu, B. Velasquez","doi":"10.1080/08993408.2023.2255058","DOIUrl":"https://doi.org/10.1080/08993408.2023.2255058","url":null,"abstract":"ABSTRACTBackground and Context Computational thinking (CT) is a fundamental skill and a new form of literacy that everyone should develop to participate in civic society. Sequencing and algorithmic thinking are at the core of CT. This study looked into how young children enrolled in a kindergarten in Colombia develop CT skills.Objective This paper aims to develop a learning progression of sequencing and algorithm design for early childhood. This goal is complemented by identifying the challenges children face to advance into more sophisticated approaches to problem-solving using algorithmic thinking.Method Fourteen five- and six-year-old students participated in this study. These children participated in unplugged learning activities, and solved two sets challenges with the BeeBot. We used a grounded theory approach to analyze how they solved these algorithmic thinking activities and the challenges they faced in this process.Findings Our results suggest four increasingly sophisticated approaches to solving these activities: step-by-step, simple decomposition, advanced decomposition, and full algorithm design. We also found different challenges students faced when working on these activities. These challenges can relate to critical cognitive skills.Implications These results will enable educators to support student learning about CT. These results also open new questions about the relationship between cognitive skills and CT activities in early childhood.KEYWORDS: Computational thinkingearly childhoodlearning progressionsequencingalgorithmic thinkingvisuospatial skills AcknowledgmentsWe would like to thank Mariana Arboleda, Gabriela de la Rosa, Roxana Quintero, Britny Velasquez, Gisella Jassir, and Angélica Carrasquilla for all the data collection support.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThe work was supported by the Fulbright Colombia and Center for Global Inquiry and Innovation at theUniversity of Virginia.","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136012941","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}
Pub Date : 2023-10-05DOI: 10.1080/08993408.2023.2265763
Amanda Peel, Sugat Dabholkar, Gabriella Anton, Mike Horn, Uri Wilensky
ABSTRACTBackground and Context To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings.Objective Our team worked with high school teachers to co-design and implement CT-integrated biology units.Method We use a model of professional growth and qualitative case studies to characterize changes in teacher practice and values through their involvement in co-design and implementation of a CT-integrated biology unit.Findings Teachers followed similar pathways of professional growth, but their participation and perceptions varied, resulting in three dimensions: 1) participation during design, 2) participation in co-design during implementation, and 3) perception of CT benefits related to student learning.Implications It is important to support teacher comfort and engagement in the co-design process in order to better facilitate professional growth and CT integration.KEYWORDS: Computational thinkingprofessional growthco-designsecondary teachersprofessional developmentin-service teachers AcknowledgmentsThis work was made possible through generous support from the National Science Foundation (grants DRL-1640201 and DRL-1842374) and the Spencer Foundation (Award #201600069). Any opinions, findings, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding organizations.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. https://en.wikipedia.org/wiki/Hardy–Weinberg_principle2. https://www.hhmi.org/biointeractive/making-fittest-natural-selection-and-adaptationAdditional informationFundingThis work was supported by the National Science Foundation [DRL-1640201 and DRL-1842374]; Spencer Foundation [201600069].
{"title":"Characterizing changes in teacher practice and values through co-design and implementation of computational thinking integrated biology units","authors":"Amanda Peel, Sugat Dabholkar, Gabriella Anton, Mike Horn, Uri Wilensky","doi":"10.1080/08993408.2023.2265763","DOIUrl":"https://doi.org/10.1080/08993408.2023.2265763","url":null,"abstract":"ABSTRACTBackground and Context To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings.Objective Our team worked with high school teachers to co-design and implement CT-integrated biology units.Method We use a model of professional growth and qualitative case studies to characterize changes in teacher practice and values through their involvement in co-design and implementation of a CT-integrated biology unit.Findings Teachers followed similar pathways of professional growth, but their participation and perceptions varied, resulting in three dimensions: 1) participation during design, 2) participation in co-design during implementation, and 3) perception of CT benefits related to student learning.Implications It is important to support teacher comfort and engagement in the co-design process in order to better facilitate professional growth and CT integration.KEYWORDS: Computational thinkingprofessional growthco-designsecondary teachersprofessional developmentin-service teachers AcknowledgmentsThis work was made possible through generous support from the National Science Foundation (grants DRL-1640201 and DRL-1842374) and the Spencer Foundation (Award #201600069). Any opinions, findings, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding organizations.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. https://en.wikipedia.org/wiki/Hardy–Weinberg_principle2. https://www.hhmi.org/biointeractive/making-fittest-natural-selection-and-adaptationAdditional informationFundingThis work was supported by the National Science Foundation [DRL-1640201 and DRL-1842374]; Spencer Foundation [201600069].","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134975708","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}
Pub Date : 2023-10-02DOI: 10.1080/08993408.2023.2263831
Jamie Colwell, Amy Hutchison, Kristie Gutierrez, Jeff Offutt, Anya Evmenova
ABSTRACTBackground & Context This research focused on an online professional development (PD), the Inclusive Computer Science Model of PD, to support integrating computer science and computational thinking for all learners into K-5 literacy instruction.Objective This research was conducted to understand elementary teachers’ perceptions of the PD.Method We used a qualitative case study methodology to collect multiple sources of perception-focused data from 10 purposefully selected participants in the PD and used a general inductive approach to data analysis.Findings Three themes emerged that focus on teachers’ perceptions, with multiple considerations for how teachers viewed the concept of computer science, the potential for students with disabilities to participate in computer science instruction, and how they considered UDL in this instructionImplications Findings have implications for the potential of computer science integration into elementary literacy instruction and how teachers may independently use computer science instruction that supports all learners in their future teaching.KEYWORDS: Computer sciencecomputational thinkingliteracyelementary instructionprofessional development Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Science Foundation under Award 1837380.
{"title":"Elementary teachers’ experiences in online professional development for literacy-focused computer science instruction for all learners","authors":"Jamie Colwell, Amy Hutchison, Kristie Gutierrez, Jeff Offutt, Anya Evmenova","doi":"10.1080/08993408.2023.2263831","DOIUrl":"https://doi.org/10.1080/08993408.2023.2263831","url":null,"abstract":"ABSTRACTBackground & Context This research focused on an online professional development (PD), the Inclusive Computer Science Model of PD, to support integrating computer science and computational thinking for all learners into K-5 literacy instruction.Objective This research was conducted to understand elementary teachers’ perceptions of the PD.Method We used a qualitative case study methodology to collect multiple sources of perception-focused data from 10 purposefully selected participants in the PD and used a general inductive approach to data analysis.Findings Three themes emerged that focus on teachers’ perceptions, with multiple considerations for how teachers viewed the concept of computer science, the potential for students with disabilities to participate in computer science instruction, and how they considered UDL in this instructionImplications Findings have implications for the potential of computer science integration into elementary literacy instruction and how teachers may independently use computer science instruction that supports all learners in their future teaching.KEYWORDS: Computer sciencecomputational thinkingliteracyelementary instructionprofessional development Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Science Foundation under Award 1837380.","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135829403","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}
Pub Date : 2023-09-27DOI: 10.1080/08993408.2023.2262877
Fatima Abu Deeb, Timothy Hickey
ABSTRACTBackground and Context Auto-graders are praised by novice students learning to program, as they provide them with automatic feedback about their problem-solving process. However, some students often make random changes when they have errors in their code, without engaging in deliberate thinking about the cause of the error.Objective To investigate whether requiring students using an auto-grading system to reflect on the errors in their code would reduce trial and error behavior often seen in such systems.Method The paper analyzes the impact of reflection per student and per problem using paired t-tests.Findings Students took fewer steps to solve the problem in reflective sessions than in Usual Debugging Sessions (4.33 vs 8.04) and they made half as many syntax errors, logic errors, and runtime errors. However, they took more time between runs.Implications This paper provides evidence that requiring reflection in autograding systems can improve student debugging skills.KEYWORDS: Reflective debuggingintroductory programming classesonline IDEactionable learning analyticsauto gradersnovice programming Disclosure statementNo potential conflict of interest was reported by the author(s).Ethical approvalThis study was done in accordance with the university IRB with reference #15041.Data availability statementThe datasets generated during and/or analyzed during the current study https://doi.org/10.6084/m9.figshare.24188010
自动评分器受到学习编程的新手的赞扬,因为它们为他们提供了关于他们解决问题过程的自动反馈。然而,一些学生经常在他们的代码中有错误时随意更改,而没有认真思考错误的原因。目的探讨要求使用自动评分系统的学生反思其代码中的错误是否会减少此类系统中经常出现的试错行为。方法采用配对t检验分析每个学生和每个问题反思的影响。学生在反思会话中解决问题的步骤比在常规调试会话中(4.33 vs 8.04)少,他们犯的语法错误,逻辑错误和运行时错误是一半。然而,他们的跑步间隔时间更长。本文提供的证据表明,在自动评分系统中要求反思可以提高学生的调试技能。关键词:反思性调试,编程入门课程,在线,可操作学习,分析,自动评分,编程新手披露声明,作者未报告潜在利益冲突。伦理批准本研究按照大学IRB进行,参考文献#15041。数据可用性声明在当前研究期间生成和/或分析的数据集https://doi.org/10.6084/m9.figshare.24188010
{"title":"Impact of reflection in auto-graders: an empirical study of novice coders","authors":"Fatima Abu Deeb, Timothy Hickey","doi":"10.1080/08993408.2023.2262877","DOIUrl":"https://doi.org/10.1080/08993408.2023.2262877","url":null,"abstract":"ABSTRACTBackground and Context Auto-graders are praised by novice students learning to program, as they provide them with automatic feedback about their problem-solving process. However, some students often make random changes when they have errors in their code, without engaging in deliberate thinking about the cause of the error.Objective To investigate whether requiring students using an auto-grading system to reflect on the errors in their code would reduce trial and error behavior often seen in such systems.Method The paper analyzes the impact of reflection per student and per problem using paired t-tests.Findings Students took fewer steps to solve the problem in reflective sessions than in Usual Debugging Sessions (4.33 vs 8.04) and they made half as many syntax errors, logic errors, and runtime errors. However, they took more time between runs.Implications This paper provides evidence that requiring reflection in autograding systems can improve student debugging skills.KEYWORDS: Reflective debuggingintroductory programming classesonline IDEactionable learning analyticsauto gradersnovice programming Disclosure statementNo potential conflict of interest was reported by the author(s).Ethical approvalThis study was done in accordance with the university IRB with reference #15041.Data availability statementThe datasets generated during and/or analyzed during the current study https://doi.org/10.6084/m9.figshare.24188010","PeriodicalId":45844,"journal":{"name":"Computer Science Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135538425","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}