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Teaching Statistics in a Data Rich World IASE Satellite Conference最新文献

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Open educational resources for statistics teaching 开放统计学教学资源
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17605
J. Musyoka, R. Stern, D. Stern
{"title":"Open educational resources for statistics teaching","authors":"J. Musyoka, R. Stern, D. Stern","doi":"10.52041/srap.17605","DOIUrl":"https://doi.org/10.52041/srap.17605","url":null,"abstract":"A series of papers at this conference have built on the African Data Initiative (ADI) which was started to improve statistical literacy and understanding. One immediate deliverables of this initiative has been new statistical software which is free, easy-to-use, open source and which encourages good statistical practice. Here we show how this software together with other open educational resources can be used to improve statistics teaching. This is demonstrated using an undergraduate course which was offered to about 300 students at Maseno University, Kenya. The resources include those from an e-learning course, called e-SMS (Statistics Made Simple) and an electronic statistics book called Computer Assisted Statistics Textbook (CAST). The course also made extensive use of Moodle to enable a “blended” approach to be undertaken.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975974","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}
引用次数: 0
We learn statistics and mathematics hardly 我们很难学习统计学和数学
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17305
M. Nekoufar
{"title":"We learn statistics and mathematics hardly","authors":"M. Nekoufar","doi":"10.52041/srap.17305","DOIUrl":"https://doi.org/10.52041/srap.17305","url":null,"abstract":"In the first session of the school year, the researcher faced this question by a student: 'why can't we learn mathematics and statistics while we can succeed in other subject matters with little amount of effort?' Of course, facing such a question was not beyond expectation; many students in Iran and other countries may ask such a question. Skamp (1976), Serpinka (1998), Freudental (1982) support this point. Based on his experience, the researcher considered Skamp's theoretical framework on schemata, and learning in structuralist viewpoint as suitable to account for this question. The student's role is regarded as vital. The research findings were put into practice in the class by the researcher, which yielded satisfactory results. The present study first gives a discussion on the students' meaningful theoretical infrastructure of the mathematical knowledge, then presents the research results.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124974851","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}
引用次数: 0
Reformatting statistical education in Russia: changes in classifications, standards, and programs 俄罗斯统计教育的改革:分类、标准和计划的变化
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17314
A. Ponomarenko
{"title":"Reformatting statistical education in Russia: changes in classifications, standards, and programs","authors":"A. Ponomarenko","doi":"10.52041/srap.17314","DOIUrl":"https://doi.org/10.52041/srap.17314","url":null,"abstract":"In the centrally planned economy the main function of official statistics was monitoring of plans’ execution. Hence, official statisticians had to be experts in economics and bookkeeping, like tax inspectors. Russian statistical education was oriented mostly to official needs and statistics was included in the same educational group as economics. Currently, professional requirements for statisticians have changed. Official statistics lost its control function, and the old reporting system is being replaced by sample surveys that are less onerous for respondents and also less expensive. The statistical agency needs more professionals in survey methodology, as well as statistical managers and mathematicians. In 2015, the new professional standard \"statistician\" was accepted in Russia in line with ISCO 2008. It consists of set of competences for professionals in data collection, processing, analysis and methodology in any field of activity, including business, finance, science, medicine. In 2016, the educational classification of statistics was changed to the same group as mathematics. A new educational standard for statistics was also accepted. This presentation describes part of the reconstructive process.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060419","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}
引用次数: 1
Design, realization and evaluation of a statistics course for preservice teachers for primary school in Germany 德国小学职前教师统计学课程的设计、实现与评价
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17309
Susanne Podworny, Daniel Frischemeier, Rolf Biehler
{"title":"Design, realization and evaluation of a statistics course for preservice teachers for primary school in Germany","authors":"Susanne Podworny, Daniel Frischemeier, Rolf Biehler","doi":"10.52041/srap.17309","DOIUrl":"https://doi.org/10.52041/srap.17309","url":null,"abstract":"We designed and developed a statistics course “Data & chance for primary school” that aims at developing content knowledge, pedagogical content knowledge, and technological knowledge of preservice primary school teachers. The course consists of weekly lectures where the content and the technological knowledge components are developed and of a weekly accompanying small- group seminar. The course is designed with statistical reasoning learning environment principles; interface tasks that bridge content knowledge and pedagogical content knowledge play a fundamental role in the course. Three topics are taught: data analysis, combinatorics, and introduction into probability via stochastic simulations. The first results—from online surveys before and after the course (n=189), evaluation of participants’ written homework assignments, and a written test administered after the course—show that statistical thinking of our preservice teachers improves over time and that they show more positive attitudes towards statistics after having attended the course.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133402769","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}
引用次数: 2
Plenary lecture: statistics capacity building in a developing country – experiences, opportunities and challenges 全体演讲:发展中国家的统计能力建设——经验、机遇和挑战
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17102
D. North
{"title":"Plenary lecture: statistics capacity building in a developing country – experiences, opportunities and challenges","authors":"D. North","doi":"10.52041/srap.17102","DOIUrl":"https://doi.org/10.52041/srap.17102","url":null,"abstract":"Statistics Capacity Building has traditionally been associated with building capacity in Official Statistics, i.e. the capability to collect, analyze and disseminate high quality data in a timely manner and analysing the data for effective functioning of government, the economy and society. Statistical Capacity Building in the 21st century encompasses the capability to deliver relevant statistics training for the needs in ALL areas of official statistics, as well as public and private sectors, academia, and research centres. This calls for education systems to deliver effective and updated statistics training across the spectrum, from basic data literacy to high level straining in the statistical sciences. Challenges faced when building statistics capacity across the spectrum are well documented, however in developing countries, these challenges are similar, but often on a larger scale and more critical.\u2028 The author will give an overview of lessons learnt and experiences in sta- tistics capacity building initiatives in a developing country, at all levels in South Africa (school to PhD), over a period of more than 25 years.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114317861","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}
引用次数: 0
The power of balancing in a data-rich material world: teaching introductory mathematics and statistics to biology students 在一个数据丰富的物质世界中平衡的力量:教生物学学生入门数学和统计学
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17403
J. Navarro-Alberto, R. C. Barrientos-Medina
{"title":"The power of balancing in a data-rich material world: teaching introductory mathematics and statistics to biology students","authors":"J. Navarro-Alberto, R. C. Barrientos-Medina","doi":"10.52041/srap.17403","DOIUrl":"https://doi.org/10.52041/srap.17403","url":null,"abstract":"The present study analyzed the satisfaction level of first-year biology students exposed to two sorts of learning activities while taking an introductory course on quantitative methods. Using a handbook of practices in Quantitative Methods in Biology, first-year Biology students carried out different activities involving data collection, statistical analysis and construction of graphical models. At the end of the term, students were asked to contrast their learning activities with and without the use of virtual learning tools. Most students declared both approaches useful in their learning process, but preferred the production of their own data without the intervention of technology or virtual/computerized tools. The pattern of responses found in the survey, along with the wide array of situations a first-year biology student may well encounter in the future, suggest that learning experiences of biology majors should balance virtualization and empirical work “in the material world”.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"31 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125659053","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}
引用次数: 0
Perceived usefulness of the introductory statistics course as a correlate of student engagement in statistics 统计入门课程的感知有用性与学生参与统计相关
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17312
R. Hassad
{"title":"Perceived usefulness of the introductory statistics course as a correlate of student engagement in statistics","authors":"R. Hassad","doi":"10.52041/srap.17312","DOIUrl":"https://doi.org/10.52041/srap.17312","url":null,"abstract":"Some non-academic factors, particularly perceived usefulness, are salient determinants of student success, and engagement in a discipline. This study explored the association between college students’ ratings of the usefulness of an introductory statistics course, their beliefs about where statistics will be most useful, and their intentions to take another statistics course. A cross-sectional study of 106 students was conducted. The mean rating for usefulness was 4.7 (out of 7), with no significant difference by gender and age. Sixty-four percent reported that they would consider taking another statistics course, and that subgroup rated the course as more useful (p = .01). Thirty-five percent reported that statistics would be most useful for graduate school, 32% research, 14% their job, and 19% were undecided. The “undecided” students rated statistics as less useful (p = .001). Instructors should emphasize practical examples of the use of data in real-world problem-solving and decision-making. Qualitative research methods could help to elucidate these findings.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117166785","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}
引用次数: 0
Making multilevel data ideas more accessible 使多层数据思想更易于访问
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17202
D. Parsons, D. Stern, R. Stern
{"title":"Making multilevel data ideas more accessible","authors":"D. Parsons, D. Stern, R. Stern","doi":"10.52041/srap.17202","DOIUrl":"https://doi.org/10.52041/srap.17202","url":null,"abstract":"Each year increasing amounts of data are being produced and there are growing trends towards data becoming more accessible, particularly online. Here we present a range of examples where data are conveniently arranged in multiple linked rectangles or data frames. They are often omitted from all but advanced statistics courses. However, they are common in practice, hence their omission leaves graduates poorly prepared for real world problems. The obvious example is a survey that is at multiple levels. Other examples include multiple time series with spatial data, where the spatial information is in a separate data frame; and data sets in a single rectangle (data frame) but where the analyses are on summary data. The statistical software, R-Instat, resulting from the African Data Initiative is designed to make it easy to handle such data.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123239547","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}
引用次数: 2
Teaching statistics at the civil service academy of Pakistan: an innovative endeavour 在巴基斯坦公务员学院教授统计学:一项创新的努力
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17315
S. Habibullah
{"title":"Teaching statistics at the civil service academy of Pakistan: an innovative endeavour","authors":"S. Habibullah","doi":"10.52041/srap.17315","DOIUrl":"https://doi.org/10.52041/srap.17315","url":null,"abstract":"In the developing world, there is a need to create awareness in civil servants regarding the importance of carrying out in-depth analyses of official data, in order to ensure policy-formulation aimed at improving the lives of the people. This paper reports on an attempt to achieve this at the first level of civil service, through an innovative approach in rendering a course entitled “Quantitative Tools for Decision-Making” to the probationary officers of the 43rd Common Training Program at the Civil Services Academy of Pakistan. The course was wholly based on data pertaining to the 2011 Punjab Multiple Indicator Cluster Survey (MICS 2011). Feedback from participants in the four-month-long course provides motivation for recommending the ongoing adoption of this approach at all levels of civil service. Similar strategies may prove to be worthwhile in many other developing countries of the world striving to create statistical awareness in civil servants.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128992921","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}
引用次数: 0
Statistics education in a post-truth era 后真相时代的统计教育
Teaching Statistics in a Data Rich World IASE Satellite Conference Pub Date : 2017-12-30 DOI: 10.52041/srap.17304
J. Ridgway, J. Nicholson, David Stern
{"title":"Statistics education in a post-truth era","authors":"J. Ridgway, J. Nicholson, David Stern","doi":"10.52041/srap.17304","DOIUrl":"https://doi.org/10.52041/srap.17304","url":null,"abstract":"Post-truth refers to a climate where emotional reactions and personal beliefs are used more in shaping opinion and forming the basis for political action than is empirical evidence. Contempt for evidence is socially corrosive. It violates the core values of the statistical community, and poses an existential threat to the idea of evidence-informed decision making. The task of developing resistance to post-truth should be shared amongst everyone involved in statistics education. Here, we explore some possible responses as a community; we need to promote a non- partisan approach to promoting respect for high-quality evidence, and reasoning from evidence. We also need to look hard at our implicit acceptance of an ‘evidence-informed’ world view – when does the statistical and scientific community claim too much? After some scene setting (a brief introduction to the problem, and ideas on solutions from groups such as fact-checkers, social media platform providers, and journalists), we explore ways in which introductory statistics courses could be adapted to incorporate ‘anti-post-truth’ activities, then conclude with some ideas about how statistics educators can contribute to efforts from the broader community that depends on statistical literacy, and that is threatened by post-truth.","PeriodicalId":421900,"journal":{"name":"Teaching Statistics in a Data Rich World IASE Satellite Conference","volume":"6 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121004036","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}
引用次数: 4
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