Journal of Statistics and Data Science Education

期刊简介：The Journal of Statistics and Data Science Education (JSDSE) is an open access peer-reviewed journal published by the American Statistical Association. It disseminates accessible knowledge for the improvement of data science and statistics education at all levels, including: elementary, secondary, post-secondary, post-graduate, continuing, and workplace education. Although JSDSE is a journal of the American Statistical Association, submissions are welcome from educators, practitioners, and researchers around the world. Article types include, but are not limited to: Original Research Articles : Curricular reform Innovative methods of instruction or assessment Research (including case studies) on students’ understanding of data science, statistics, and probability Research on the teaching of statistics and data science and on attitudes and beliefs about statistics and data science Creative and tested ideas (including experiments and demonstrations) for teaching statistics, data science, and probability Articles that describe how students can develop data fluency and data acumen Articles that describe how students learn computational techniques and workflows, undertake the entire data analysis cycle, and master a broader set of learning outcomes Articles that help bridge the gap between traditional statistics, computational science, and domain applications in data science Use of active learning and student centered pedagogies (e.g., cooperative learning and projects, growth mindset) Statistical and data literacy Data ethics Distance education and online learning Overviews and reflective essays : Scholarly overview of the literature on topics in statistics and data science education Reflective essays by scholars with extensive experience in data science and statistics education Reviews of software, books, and teaching materials : Reviews of teaching materials must describe actual experiences using the materials Datasets and Stories : Description of the pedagogical uses of multivariate dataset(s) (including discussions of achievable learning outcomes, potential pitfalls, helpful teaching tips), with the associated dataset(s) available for download with the manuscript for instructional use in classes and further analysis Research in K-12 Education : Research related to the teaching, learning, and assessment of statistics and data science in K-12 settings Statistics and Data Science Education in the Health Sciences : Teaching and learning of statistics and data science in the health sciences Biostatistics and data science literacy, competency, applications, and assessment Use of real world health data in the classroom Biostatistics curriculum development and reform Brief Communications : Short articles (generally no more than six pages) that are particularly timely or relevant Short articles with potential for immediate positive impact Short articles that discuss a novel teaching method in statistics and data science education Special Issues and Review Articles Review articles in all of the above areas are welcome, as are proposals for special issues, which should be discussed with the Editor-in-Chief in the first instance. Article Publishing Charges (APCs) The ASA and Taylor & Francis are committed to making open access publishing as accessible as possible for authors. Please note that there are no fees to submit or be accepted by the journal. Peer-Review Policy All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is doubly anonymous. Publishing Ethics The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilizes Similarity Check via CrossRef for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/ . Our Appeals and Complaints policy can be found here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/ . Read the ASA Statement on Justice, Equity, Diversity, and Inclusion (JEDI) The leadership of the American Statistical Association commits to strengthening our professional community by making it more just, equitable, diverse, and inclusive. We affirm that our mission, Promote the Practice and Profession of Statistics, can be realized only by fully embracing justice, equity, diversity, and inclusivity in all of our operations. Individuals embody many traits, so the leadership will work with the members of ASA to create and sustain responsive, flourishing, and safe environments that support individual needs, stimulate intellectual growth, and promote professional advancement for all. We commit to these objectives: Learn from our members and others how to identify and overcome systemic racism and hindering biases of any kind Critically reappraise and improve the effectiveness of our JEDI efforts Identify and develop resources for individuals and organizations in our professional community to enable growth and appreciation for cultural humility Share openly our diversity and inclusion efforts and the solutions we have implemented

【译文】《统计与数据科学教育杂志》(JSDSE) 是由美国统计协会出版的开放获取同行评审期刊。它传播可获取的知识，以改善各级数据科学和统计教育，包括：小学、中学、大专、研究生、继续教育和工作场所教育。尽管 JSDSE 是美国统计协会的期刊，但仍欢迎世界各地的教育工作者、从业者和研究人员投稿。文章类型包括但不限于： 原创研究文章：课程改革 教学或评估的创新方法 关于学生对数据科学、统计学和概率的理解的研究（包括案例研究） 关于统计和数据科学的教学以及对统计和数据科学的态度和信念的研究 统计、数据科学和概率教学的创意和经过检验的想法（包括实验和演示） 描述学生如何培养数据流畅性和数据敏锐度的文章 描述学生如何学习计算技术和工作流程、承担整个过程的文章数据分析周期，并掌握更广泛的学习成果 有助于弥合传统统计学、计算科学和数据科学领域应用之间差距的文章 使用主动学习和以学生为中心的教学法（例如合作学习和项目、成长心态） 统计和数据素养 数据伦理 远程教育和在线学习 概述和反思性论文：统计和数据科学教育主题文献的学术概述 在数据科学和统计教育方面拥有丰富经验的学者的反思性论文软件、书籍和教材：教材评论必须描述使用材料的实际经验数据集和故事：描述多元数据集的教学用途（包括对可实现的学习成果、潜在陷阱、有用的教学技巧的讨论），以及可与手稿一起下载的相关数据集，用于课堂教学和进一步分析 K-12 教育研究：与 K-12 环境中统计和数据科学的教学、学习和评估相关的研究 统计健康科学中的统计和数据科学教育：健康科学中统计和数据科学的教学和学习 生物统计学和数据科学素养、能力、应用和评估 在课堂上使用真实世界健康数据 生物统计学课程开发和改革 简短交流：特别及时或相关的短文（通常不超过六页） 具有直接积极影响潜力的短文 讨论统计和数据科学教育中新颖教学方法的短文 特刊和评论文章 上述所有领域的评论文章都是欢迎，还有特别问题的建议，应首先与主编讨论。文章出版费用 (APC) ASA 和 Taylor & Francis 致力于为作者提供尽可能方便的开放获取出版服务。请注意，提交或被期刊接受不收取任何费用。同行评审政策 所有提交的手稿均需经过编辑的初步评审，如果认为适合进一步考虑，则由独立、匿名的专家审稿人进行严格、快速的同行评审。所有同行评审都是双重匿名的。出版道德 该期刊坚持出版道德的最高标准，并制定了严格的流程来确保这一目标的实现。 Taylor & Francis 是出版道德委员会 (COPE) 的成员，并通过 CrossRef 对所有期刊进行相似性检查。有关我们道德标准和政策的更多信息，请访问：http://authorservices.taylorandfrancis.com/ethics-for-authors/。我们的申诉和投诉政策可以在这里找到：https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/。阅读 ASA 关于正义、公平、多样性和包容性的声明 (JEDI) 美国统计协会的领导层致力于通过使其更加公正、公平、多元化和包容性来加强我们的专业社区。我们申明我们的使命，促进