Insights from DataFest point to new opportunities for undergraduate statistics courses: Team collaborations,designing research questions,and data ethics

As the field of data science evolves with advancing technology and methods for working with data, so do the opportunities for re-conceptualizing how we teach undergraduate statistics and data science courses for majors and non-majors alike. In this paper, we focus on three crucial components for this re-conceptualization: Developing research questions, professional ethics, and team collaborations. We share vignettes from two teams of undergraduate statistics or data science majors at two different stages of their development (novice and expert) while they worked on a DataFest data challenge. These vignettes shed light on opportunities for re-conceptualizing introductory courses to give more attention to issues of the process of developing focused research questions when given a complex data set, professional ethics and bias, and how to collaborate effectively with others. We provide some implications for teaching and learning as well as an example activity for educators to use in their courses.     

Bare bones,or a rich feast? Taking care with context in a data rich world

Providing a rich context has become a sine qua non of principled teaching of applied statistical thinking. With increasing opportunities to access secondary data, there should be increasing opportunity to work with rich context. We review the contextual information provided in 41 data sets suitable for introductory tertiary statistics teaching, available in the R “datasets” package, and investigate the source information for four data sets. We find failure to describe and retain important contextual information, including aspects that raise questions about the credibility of the data for statistical inference. The sanitization of data reduces the opportunities for learning meaningful lessons in statistical thinking and the real-world application of statistics. We advocate for teachers and users of such data to be curious about the provenance and context, and for the curators and distributors to examine, where possible, the primary sources, to accurately preserve the context and optimize pedagogical opportunities.     

The possibilities of exploring nontraditional datasets with young children

Today's world is characterized by the extensive production of data in different scenarios that everyday citizens need to understand for their informed participation in society. With the increase in the availability of data in a society defined by the industrious production of data, the educational system needs to think of possibilities to bring young children closer to the world of data science. This paper presents a nontraditional data exploration experience with an 8-year-old participant helped by a data visualization tool. A task-based interview was conducted while the participant explored a carbon dioxide emission dataset. This paper studied how the participant interrogates the data, draws inferences and exhibits dispositions. At the end, some reflections are presented when introducing the exploration of nontraditional data in teaching.     

Dealing with Data: Instructing with Infographics in an Undergraduate Sociology Course

As the collection and dissemination of “big data” become easier, we are exposed to increasing numbers of visuals, or infographics, that convey this data. Students are likely to interact with infographics through news, advertising, and social media platforms, but they may not have the skills in quantitative reasoning or visual literacy to effectively understand how data is employed or framed to tell particular stories. Teaching students about the tools, available data, and communication styles that infographics offer early in their coursework can provide them a basis on which to better develop a variety of analytic and communication tools throughout additional courses in their major field of study. Through the process of learning to locate, evaluate, and use data in infographics, students also become better consumers of data visualization. A series of scaffolded assignments that help accomplish this are detailed here.     

Assessment,technology and democratic education in the age of data

This paper contends that powerful techniques to manipulate data, enabled by technological and economic developments, can be easily co-opted to serve the restrictive frameworks of hyper-controlling, managerial accountability that characterise current cultures of summative assessment in education. In response to these challenges, research is urgently needed to increase our understanding of the impact that assessments have on individuals and society. The paper concludes that social research ought to contribute to the identification of responses – educational, technological and political – that can minimise inequalities and potential abuses through the encouragement of data literacy across society.     

基于核心素养的小学生数据分析观念培养研究

数据分析观念是统计与概率领域重点培养的核心素养之一。小学数学统计教学中,教师可以从学生数据分析的内在需求、数据分析所需要的基本统计量的理解等方面入手,通过开展探究性、生活性和选择性活动,让学生体会数据分析的价值,帮助学生用统计的眼光看待生活、用数据分析的策略解决问题,从而发展学生数据分析能力,提升学生核心素养。     

The Effect of Data Analysis Modules in the Introductory Sociology Course: Lessons for the Social Sciences

This article offers an evaluation of the implementation of the American Sociological Association's Integrating Data Analysis Project in a large introductory sociology course. This project was designed following an examination of the curricula of 13 disciplines that revealed that sociology failed to integrate empirical, quantitative literacy components throughout the undergraduate curriculum. Thus, efforts to introduce students to data analysis early and often were established as a best practice in the discipline. Results revealed that the students found the modules helped them understand the empirical nature of sociology. The students expressed an interest in participating in future research projects in sociology and/or other disciplines. They were not overly anxious about the quantitative literacy components of the course. Including on-line data analysis strategies using publicly available data and complimentary software represent cost and time-effective methods of introducing quantitative literacy into the social science classroom. Many social and behavioral sciences other than sociology have also discovered that their students lack a clear understanding of the relationship between empirical research and substantive topics within the discipline. Consequently, the lessons learned from the efforts of the ASA could be applied across many disciplines to form a more cohesive curriculum for many disciplines.The author holds an M.A. and Ph.D. in sociology from the University of North Texas and a B.A. from Stephen F. Austin State University. She is currently an Associate Professor of sociology in the Department of Sociology and Anthropology at the University of Central Florida. Her teaching and research interests include the scholarship of teaching and learning, the sociology of social inequalities (aging, race and ethnicity, gender, and social class), medical sociology, and family violence.     

基于大数据支持的校本作业实施研究

教育大数据源于日常教育活动,作业作为教育活动的组成部分,其开发与实施过程中产生的数据是重要的数据资源。发掘、利用大数据,特别是测评大数据,是开发有特色、有针对性校本作业的有力保障,可用于预测评估校本作业的适切性和有效性。从技术、管理、思维等方面进行系统规划,方能促进大数据与校本作业开发的深度融合。     

基于模糊数学及数据挖掘的幼儿教师信息素养评价研究

以宁波市幼儿教师信息素养水平调查为基础,首先用模糊综合评价法对幼儿教师的信息素养进行量化评价,然后再用数据挖掘的技术,对幼儿教师的信息素养量化评价结果进行校验和修正,使幼儿教师的信息素养评价得到一个较为客观、准确的结果。     

Pre-service teachers’ perceptions of social media data privacy policies

Matters of data privacy related to social media are increasingly relevant for educators as happenings such as the 2018 Cambridge Analytica scandal have attracted public attention. Many educators use social media for professional purposes, including with their students and should, therefore, be knowledgeable regarding data privacy issues that impact education. This research explores this issue from an interpretive paradigm based on a mixed-methods approach derived from survey data from an international sample of 148 pre-service teachers who were studying education courses at three universities. Data suggest that pre-service teachers see both educational and distracting potential in social media, but lack knowledge regarding relevant policies and regulations, which reflects trends in the broader population. Attitudes toward educational social media use were not correlated with awareness of data privacy policies. However, comfort with companies’ use of personal and student data and faith in governments’ capacity to regulate social media companies were correlated. We discuss our findings in relation to the use of social media and related data privacy considerations and the need for data literacy training in teacher education programs. We include recommendations in light of the findings.     

数据驱动赋能新时代教师领导力的思考

数据驱动成为新时代教育改革发展的新动能,具有基础性、开放性、全面性和智能化的时代特点。数据驱动为新时代教师领导力赋能,教师领导力迈入数据驱动新时代,教师领导力的表现将更加丰富,利用数据开展教学决策、因材施教、课堂评估等将更加科学。数据驱动赋能教师领导力之困在于教师的数据素养不高,解困之策在于强化政策引导、课程研发、实践创新和问题导向。     

健康大数据时代下的医学生统计素养培养——“医学统计学”课程思政实践初探

为提升新时代健康大数据的管理和研究水平,适应健康大数据时代对未来医生的新要求,医学生应具备良好的统计素养。在“医学统计学”课程的授课实践中,教师应从统计意识、统计知识、统计能力、统计道德四个方面对医学生统计素养进行引导渗透,发挥课程的育人作用。     

基于大数据平台下高职信息素养教育研究

信息技术的飞速发展,互联网大数据在人们的日常生活中扮演着越来越重要的角色,信息的需求也变得多元化。传统方式的信息素养教育问题由于其自身的局限性,已难以满足高职院校学生的学习与发展。因此,基于目前大数据平台,高职图书馆信息素养教育问题急需不断发展与改进。本文通过对陕西省高职院校信息素养教育的发展现状以及面临问题进行分析,有效结合互联网大数据发展以及信息素养教育,提出大数据平台下的高职院校图书馆信息素养教育的多重研究策略。     

The influence of competences and support on school performance feedback use

Information‐rich environments are created to promote data use in schools for the purpose of self‐evaluation and quality assurance. However, providing feedback does not guarantee that schools will actually put it to use. One of the main stumbling blocks relates to the interpretation and diagnosis of the information. This study examines the relationship between data literacy competences, support given in interpreting the information, actual use of the feedback and potential school improvement effect. A randomised field experiment with 188 school principals from primary education was set up and a post‐test was used to investigate the effects of a support initiative. The results revealed that a minority of schools invested significantly in the interpretation and diagnosis of the school performance feedback (SPF), despite the fact that most of the respondents showed an interest in the SPF report. In addition, data competence support and the subsequent use of feedback were found to be limited.     

几种汉语识字教学方法的比较

汉字是中华化的栽体，自从有了汉字，便有了识字教育，识字教育和中华明同步地走过了漫长的道路。由于汉字是表意体系的字，难学、难写、难认，难记，如何尽快地使初谙世事的儿童尽快地熟悉、掌握和运用汉字，则是识字教学研究们一直在不断探讨的课题。到目前为止，有一定影响的识字教学方法有二三十种。就几种有代表性的、效果较好的．影响较大的识字教学方法作一下介绍．分析和比较。     

建国初期识字课本分析

建国初期识字课本是伴随着扫盲运动的发展而发展,识字课本既沿袭了传统识字教材的特点,保证系统连贯、循序渐进,又结合成人教育的特点,注重精简、快速、实效;在扫除文盲和提高国民整体素质等方面发挥了重要作用。