{"title":"Experience Of Teaching From A Distance","authors":"Joseph Saidu Sesay, Fatmata Sheriff Binta","doi":"10.52041/iase.rylmv","DOIUrl":"https://doi.org/10.52041/iase.rylmv","url":null,"abstract":"This study is motivated by a desire to understand the challenges tutors and student-teachers of distant teaching and learning at the University of Makeni face as they pursue higher teachers’ education in Mathematics/Statistics. The research was carried out in northern Sierra Leone. Data were collected and processed. The study utilizes structured questionnaires to the study population, which were analyzed through tables, frequencies, marginal percentages, and the logistic regression model to produce descriptive and inferential statistics. The statistical analysis was done at a 95 percent significant level using the SPSS version (20). Insufficient time, moderate institutional and individual participation, lack of devices and capabilities to access online teaching and learning materials, and more are the findings. Findings suggest UniMak to do more to sustain effective and balanced teaching and learning system that will satisfy the learners' desires to return to UniMak for future studies or recommend the institution to their colleagues.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129938696","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}
{"title":"The challenge of hybrid teaching for the internship programme","authors":"Teresita E. Terán","doi":"10.52041/iase.pexej","DOIUrl":"https://doi.org/10.52041/iase.pexej","url":null,"abstract":"Teacher Internship, obligatory in many Teaching School programmes, is that part of pre-service education for teacher-students that provides a practice for learning to teach a subject in an actual class. This paper reports the measurements that have been implemented to organize a hybrid form of a Statistics Teaching Internship programme for the teacher students at our university, during 2020. We present some of our actions to meet this challenge, as not even virtual teaching in high schools was possible at all levels. For the schools where the students have not access to computers or internet, the interns had to develop course booklets with tasks, which were collected and corrected. For the university-teaching part, the courses were delivered virtually and filmed so that they could be analysed. The analysis aims at identifying face-to-face amendments so that a hybrid approach can be developed.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116281795","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}
Claudia C. Sutter, Mary C. Tucker, Karen B. Givvin, Chris Hulleman
{"title":"How much students value an introductory statistics course, how value levels change across the term, and how they predict learning","authors":"Claudia C. Sutter, Mary C. Tucker, Karen B. Givvin, Chris Hulleman","doi":"10.52041/iase.nrube","DOIUrl":"https://doi.org/10.52041/iase.nrube","url":null,"abstract":"Motivational processes are a promising avenue for addressing concerns related to interest, persistence, engagement, and learning in STEM courses. We examined changes in utility value in an introductory statistics course overall, by sex and underrepresented racial minority (URM) and tested the relationship between utility value and learning. Data were collected from 810 students, including their perceived utility value of the course, quiz scores, and course grades. Utility value declined from the beginning to the middle of the course. Significant differences were found by URM status, but not by sex. While URM students continued to experience a decline towards the end of the course, White and Asian students did not. Students’ utility value (t3) and their formative assessments (t2 and t3) predicted their final grade. The findings highlight the need for a deeper understanding of short-term relationships between motivation, learning, and performance as well as the ongoing concern for underrepresented groups in STEM.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127206175","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}
{"title":"Simple Workflows for Teaching with Jupyter","authors":"Adam B. Blake, B. Winjum, J. Stigler","doi":"10.52041/iase.yphve","DOIUrl":"https://doi.org/10.52041/iase.yphve","url":null,"abstract":"Jupyter notebooks have great potential to facilitate the teaching of statistics and data science. However, setting up Jupyter for classroom use is intimidating for many college and high school instructors. nbteach is an extension for Jupyter and JupyterHub designed to make it easy for instructors to create, share, collect, and grade Jupyter notebooks in the context of statistics and data science education. While other solutions exist, nbteach is unique in its focus on the needs of the non-computer-science-savvy community. nbteach is currently available to students and their instructors free of charge as a cloud service at nbteach.io.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129688269","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}
{"title":"Hands-on strategies in statistical literacy or education: effects on the present and future","authors":"Liliana Adriana Mendoza Saboya","doi":"10.52041/iase.khqfn","DOIUrl":"https://doi.org/10.52041/iase.khqfn","url":null,"abstract":"The aim of this research is to identify whether use of playful ways of statistical literacy is related to their perception of using statistics in the present and future. The conceptual framework of literacy and statistical education is reviewed in a non-probabilistic sample is observed, the study population is students and teachers in Colombia. To determine the independence between the variables of the study, Chi2 p-value<0.06 is used, the results are segmented into basic and secondary, rural or urban, Educational Institutions (E. I.), by gender and age. Likewise, a portion of the sample is trained with a logistic regression model to identify the pattern of literate students who are currently using statistics and students who will not continue to study statistics after high school. This will provide clues about the early literacy strategies that can increase the use of statistics in the daily and professional life of Colombians.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122439779","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}
{"title":"Designing for motivation, when there is none: lessons of designing a python-based data literacy program mandatory for all students.","authors":"Johannes van Deest, S. Addo","doi":"10.52041/iase.krbgx","DOIUrl":"https://doi.org/10.52041/iase.krbgx","url":null,"abstract":"With data exponentially growing lately, data literacy has become essential for individuals and organizations to prosper. Nonetheless, it is rare and seems an unattainable goal to the majority of people. Researchers, policymakers, and educators are exploring ways of getting learners excited about data, and the Leuphana University of Luneburg is not left behind in this quest. Starting in the winter semester of 2021/2022, all 1,450 first-year students will undergo basic data literacy education at Leuphana, which includes the teaching of related knowledge and skills as well as relevant ethical issues. In this paper, we theoretically explore how to design teaching-learning settings that, given heterogeneous learning groups, can transform initially unmotivated students into intrinsically motivated lifelong learners of data competencies. Furthermore, in light of our empirical experience, we derive and discuss design principles that will enable readers to find a context-adapted solution.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128172001","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}
{"title":"How engineering students argue in an introductory course in data science","authors":"Katharina Bata, Andreas Eichler, Angela Schmitz","doi":"10.52041/iase.aomcg","DOIUrl":"https://doi.org/10.52041/iase.aomcg","url":null,"abstract":"Model building and validation are at the core of machine learning and a subfield of data science. In this paper, the Toulmin model is used to structure students’ approaches and analyze students' argumentation when building a model. A qualitative analysis of passages from the underlying design experiments with undergraduate engineering students shows different approaches and visual, contextual and mathematical or statistical elements that students use within their argumentation.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125611563","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}
{"title":"How Do Families Live around the World? Lessons Learned from a Statistical Literacy Intervention Based on the “Dollar Street” Project in Undergraduate-Level Statistics and Economics Courses","authors":"Emma Bojinova, Anushka Karkelanova","doi":"10.52041/iase.pgwou","DOIUrl":"https://doi.org/10.52041/iase.pgwou","url":null,"abstract":"This study is based on a statistical literacy intervention in two different undergraduate courses at two US public universities based on the “Dollar Street” Project of the Gapminder Foundation. The goal of this innovative intervention was to expose students to real-world data and teach them how to apply their knowledge of statistics to conduct research, produce a professionally written report, and tell a meaningful story based on data. Students found this project relevant and reported an improved ability to analyze real-world data using statistical methods. Given the importance of understanding statistical concepts and the growing interest in data science in our fast-changing world, this study can be used as an example of how college courses can provide hands-on activities to increase students’ statistical literacy, develop their analytical skills, and create knowledgeable and data-driven members of our society.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134251828","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}
{"title":"Draw (Causal) Conclusions from Data – Some Evidence","authors":"Karsten Lübke, Bianca Krol, S. Sülzenbrück","doi":"10.52041/iase.ujhqs","DOIUrl":"https://doi.org/10.52041/iase.ujhqs","url":null,"abstract":"To be data literate, one should be able to draw conclusions from multivariable observational data. But this is tricky. E.g., to investigate the gender pay gap, it must be decided whether the effect should be calculated adjusted or unadjusted for job. The correct conclusion depends on the qualitative assumptions about the data generating process. To investigate the conclusions drawn by students, a randomized experiment is conducted. The same data is presented in two different contexts with (possible) different structural causal models so once the adjusted and once the unadjusted effect might be appropriate. Also it is varied whether a directed acyclic graph is presented before or after the data table with the estimated effect. Results indicates that conclusions drawn from the same data differ by context but may also be inconsistent to the assumed data generating process.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126131693","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}
{"title":"Case Study: Using COVID-19 Data in a Community-Engaged Elementary Statistics Class","authors":"J. Asher, Amanda Goodrick","doi":"10.52041/iase.ydaxw","DOIUrl":"https://doi.org/10.52041/iase.ydaxw","url":null,"abstract":"Because it utilizes a combination of high impact practices—a collaborative project, service learning, and undergraduate research—the use of a community-engaged framework within an undergraduate introductory statistics course can improve educational outcomes for distance learners. During the Fall of 2020, because the usual community-engaged approach of having students partner with a community organization to collect and analyze data was not feasible, we used a recently released dataset on coping mechanisms during the COVID-19 pandemic. Students participated in an analysis of those data in order to inform policy-making within the university regarding support for students during the pandemic. Similar outcomes in terms of improved understanding of and attitudes toward statistics were achieved through this approach as had been achieved through community-engaged projects in previous semesters. Moving to a distance learning format within the pandemic has required rethinking how these components of community-engaged learning can be preserved. This case study shows that similar learning outcomes can be achieved despite the limitations the pandemic places on learning.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115674122","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}