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Which Way Does Time Go? Differences in Expert and Novice Representations of Temporal Information at Extreme Scales Interferes with Novice Understanding of Graphs 时间走哪条路?专家和新手在极端尺度下时间信息表示的差异会干扰新手对图的理解
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-11-07 DOI: 10.1007/s10956-023-10079-4
Ilyse Resnick, Elizabeth Louise Chapman, Thomas F. Shipley
Abstract Visual representations of data are widely used for communication and understanding, particularly in science, technology, engineering, and mathematics (STEM). However, despite their importance, many people have difficulty understanding data-based visualizations. This work presents a series of three studies that examine how understanding time-based Earth-science data visualizations are influenced by scale and the different directions time can be represented (e.g., the Geologic Time Scale represents time moving from bottom-to-top, whereas many calendars represent time moving left-to-right). In Study 1, 316 visualizations from two top scholarly geoscience journals were analyzed for how time was represented. These expert-made graphs represented time in a range of ways, with smaller timescales more likely to be represented as moving left-to-right and larger scales more likely to be represented in other directions. In Study 2, 47 STEM novices were recruited from an undergraduate psychology experiment pool and asked to construct four separate graphs representing change over two scales of time (Earth’s history or a single day) and two phenomena (temperature or sea level). Novices overwhelmingly represented time moving from left-to-right, regardless of scale. In Study 3, 40 STEM novices were shown expert-made graphs where the direction of time varied. Novices had difficulty interpreting the expert-made graphs when time was represented moving in directions other than left-to-right. The study highlights the importance of considering representations of time and scale in STEM education and offers insights into how experts and novices approach visualizations. The findings inform the development of educational resources and strategies to improve students’ understanding of scientific concepts where time and space are intrinsically related.
数据的可视化表示被广泛用于交流和理解,特别是在科学、技术、工程和数学(STEM)领域。然而,尽管它们很重要,但许多人很难理解基于数据的可视化。这项工作提出了一系列三项研究,研究了理解基于时间的地球科学数据可视化如何受到尺度和时间可以表示的不同方向的影响(例如,地质时间尺度表示从下到上的时间,而许多日历表示从左到右的时间)。在研究1中,我们分析了来自两个顶级学术地球科学期刊的316个可视化图像,以了解时间是如何表示的。这些专家制作的图表以各种方式表示时间,较小的时间尺度更可能表示为从左向右移动,而较大的时间尺度更可能表示为其他方向。在研究2中,从本科心理学实验池中招募了47名STEM新手,并要求他们构建四个独立的图表,代表两个时间尺度(地球历史或一天)和两个现象(温度或海平面)的变化。绝大多数新手表示时间从左到右移动,无论规模如何。在研究3中,向40名STEM新手展示了专家制作的时间方向变化的图表。当时间以从左到右以外的方向移动时,新手很难理解专家制作的图表。该研究强调了在STEM教育中考虑时间和规模表示的重要性,并为专家和新手如何处理可视化提供了见解。研究结果为开发教育资源和策略提供了信息,以提高学生对时间和空间内在相关的科学概念的理解。
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引用次数: 0
Advances in Knowledge and Acceptance of Genetically Modified Organisms Among Some Ghanaian Professionals 一些加纳专业人员对转基因生物的知识和接受的进展
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-11-04 DOI: 10.1007/s10956-023-10081-w
Mavis Owusuaa Osei-Wusu, Moses Addo Nartey, Remember Roger Adjei
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引用次数: 0
Comparing Optimization Practices Across Engineering Learning Contexts Using Process Data 使用过程数据比较工程学习背景下的优化实践
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-31 DOI: 10.1007/s10956-023-10080-x
Jennifer L. Chiu, James P. Bywater, Tugba Karabiyik, Alejandra Magana, Corey Schimpf, Ying Ying Seah
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引用次数: 0
An Online CURE Taught at a Community College During the Pandemic Shows Mixed Results for Development of Research Self-Efficacy and In-class Relationships 在流感大流行期间,在社区大学教授的一项在线治疗显示,在研究自我效能和课堂关系的发展方面,结果好坏参半
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-25 DOI: 10.1007/s10956-023-10078-5
Amy Dunbar-Wallis, Jennifer Katcher, Wendy Moore, Lisa A. Corwin
Abstract The Bee the CURE is a novel course-based undergraduate research experience (CURE) that engages introductory biology students in DNA barcoding (DNA extraction, amplification, and bioinformatics) in partnership with the Tucson Bee Collaborative and the University of Arizona. The first iteration of this CURE taught at Pima Community College (PCC) occurred during the Fall 2020 semester in which the course was taught online and students focused on bioinformatics. Due to the online format, students were unable to participate directly in the wet-lab components (extraction and amplification) of the course. These were approximated with videos of the instructor performing the tasks. A qualitative case study of this semester built from student interviews found that students were able to form positive relationships with instructors and peer mentors but that the online format of the class posed some challenges to relationship formation. Students reported developing self-efficacy in bioinformatics skills while online lab participation disrupted student’s gaining “hands-on experiences” and seldom led to development of science self-efficacy in wet lab skills. Our findings from a study of a synchronous online CURE allowed us to characterize a context in which online learning posed a challenge and perhaps even a threat to research self-efficacy, especially regarding skill development and self-efficacy in “hands-on” areas, such as wet-bench research skills. Yet optimistically, our study highlights the potential of online community college learning environments to provide mastery experiences in online science contexts (e.g., bioinformatics) and opportunities for relationship building.
The Bee The CURE是一项新颖的基于课程的本科研究体验(CURE),与图森蜜蜂合作组织和亚利桑那大学合作,让生物学入门学生参与DNA条形码(DNA提取、扩增和生物信息学)。在皮马社区学院(PCC)教授的CURE的第一次迭代发生在2020年秋季学期,该课程是在线教授的,学生专注于生物信息学。由于在线形式,学生无法直接参与课程的湿实验室部分(提取和扩增)。这些与教师执行任务的视频近似。本学期的定性案例研究建立在学生访谈的基础上,发现学生能够与教师和同伴导师建立积极的关系,但在线课程的形式对关系的形成提出了一些挑战。学生报告了生物信息学技能的自我效能感,而在线实验室的参与破坏了学生获得“实践经验”,很少导致湿实验室技能的科学自我效能感的发展。我们对同步在线治疗的研究结果使我们能够描述在线学习对研究自我效能感构成挑战甚至威胁的背景,特别是在“动手”领域的技能发展和自我效能感方面,例如湿台式研究技能。然而,乐观地说,我们的研究强调了在线社区大学学习环境在提供在线科学背景(如生物信息学)的掌握经验和建立关系的机会方面的潜力。
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引用次数: 0
Artificial Intelligence in Science Education (2013–2023): Research Trends in Ten Years 科学教育中的人工智能(2013-2023):十年研究趋势
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-06 DOI: 10.1007/s10956-023-10077-6
Fenglin Jia, Daner Sun, Chee-kit Looi
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引用次数: 0
Psychometric Validation of the Robotics Interest Questionnaire (RIQ) Scale with Italian Teachers 机器人兴趣问卷(RIQ)量表在义大利教师中的心理测量验证
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-03 DOI: 10.1007/s10956-023-10075-8
Mirian Agus, Giovanni Bonaiuti, Arianna Marras
Abstract In recent years, numerous research studies have highlighted how teachers’ perceptions of educational robotics (ER) and their sense of self-efficacy can influence the learning process. Although different instruments exist to investigate teachers’ perspectives on ER, the Robotics Interest Questionnaire (RIQ) scale, developed within the Portuguese K–12 education framework to analyse the impact of domain knowledge (i.e. coding and robotics), interest in robotics, and confidence in one’s self-efficacy as a robotics teacher, was used in the present work. This instrument has been validated in Portugal, meeting rigorous statistical and reliability measures that our work intends to verify in its Italian version. To test the validity of the instrument, the Teacher Self-Efficacy (QAI) Questionnaire, already validated in Italian and accredited in the literature, was administered jointly. The instruments were administered to a non-probabilistic sample of 823 teachers working in different school orders. Exploratory and confirmatory factor analyses were carried out, confirming a four-factor model. The results suggest the applicability of the RIQ instrument in the Italian school context to test teachers’ levels of interest, knowledge, problem-solving, collaborative work, and sense of self-efficacy, successfully discriminating between experienced and inexperienced ER teachers. These constructs, as suggested in multiple works, are relevant factors in promoting the use of robotics for educational purposes.
近年来,许多研究都强调了教师对教育机器人(ER)的认知和自我效能感如何影响学习过程。尽管存在不同的工具来调查教师对ER的看法,但在葡萄牙K-12教育框架内开发的机器人兴趣问卷(RIQ)量表用于分析领域知识(即编码和机器人),对机器人的兴趣以及对机器人教师自我效能感的信心的影响。该工具已在葡萄牙得到验证,符合严格的统计和可靠性措施,我们的工作打算在其意大利语版本中进行验证。为了测试该工具的有效性,教师自我效能(QAI)问卷已在意大利语中验证并在文献中得到认可,并被联合管理。这些工具被管理到一个非概率样本的823名教师工作在不同的学校秩序。进行了探索性和验证性因素分析,确认了一个四因素模型。结果表明RIQ工具在意大利学校背景下的适用性,可以测试教师的兴趣水平、知识水平、问题解决水平、协作工作水平和自我效能感,成功区分有经验和没有经验的ER教师。这些结构,正如在多个作品中所建议的,是促进机器人技术用于教育目的的相关因素。
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引用次数: 0
Preliminary Evidence of the Reliability and Validity of a Sense of Belonging in STEM Scale for College Students STEM大学生归属感信效度的初步证据
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-10-03 DOI: 10.1007/s10956-023-10076-7
Terrell Lamont Strayhorn
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引用次数: 0
Correction to: Examining Student Testing and Debugging Within a Computational Systems Modeling Context 修正:在计算系统建模环境中检查学生测试和调试
1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-09-07 DOI: 10.1007/s10956-023-10074-9
Jonathan Bowers, Emanuel Eidin, Lynn Stephens, Linsey Brennan
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引用次数: 0
Integrating Science Concepts Through Poetry: A Study Comparing Online and Face-to-Face Teaching Methods Courses for Pre-Service Elementary Educators 通过诗歌整合科学概念:职前小学教育在线与面对面教学方法课程比较研究
IF 4.4 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-09-06 DOI: 10.1007/s10956-023-10073-w
Tyler S. Love, Doris Lee, Mary Napoli
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引用次数: 0
Correction to: Thinking in Terms of Change over Time: Opportunities and Challenges of Using System Dynamics Models 修正:从时间变化的角度思考:使用系统动力学模型的机遇和挑战
IF 4.4 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-08-31 DOI: 10.1007/s10956-023-10071-y
Emil Eidin, Tom Bielik, Israel Touitou, J. Bowers, Cynthia McIntyre, Daniel Damelin, J. Krajcik
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引用次数: 0
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Journal of Science Education and Technology
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