G. Mojica, Hollylynne S. Lee, Emily P. Thrasher, Z. Vaskalis, Greg C. Ray
{"title":"Making data science practices explicit in data investigation process: a framework to guide reasoning about data","authors":"G. Mojica, Hollylynne S. Lee, Emily P. Thrasher, Z. Vaskalis, Greg C. Ray","doi":"10.52041/iase.dyjku","DOIUrl":"https://doi.org/10.52041/iase.dyjku","url":null,"abstract":"We propose a six-phase framework that identifies key practices, processes and dispositions of investigating data, building on the work of statistics education to include data science. We share overarching dispositions and considerations for a data investigator and unpack key considerations to frame “ways of thinking” about the practices and processes in three of the six phases.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"20 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":"129502364","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}
Douglas Whitaker, C. Bolch, Leigh Harrell-Williams, Stephanie A. Casey, Corinne Huggins-Manley, Christopher Engledowl, H. Tjoe
{"title":"The search for validity evidence for instruments in statistics education: preliminary findings","authors":"Douglas Whitaker, C. Bolch, Leigh Harrell-Williams, Stephanie A. Casey, Corinne Huggins-Manley, Christopher Engledowl, H. Tjoe","doi":"10.52041/iase.obaue","DOIUrl":"https://doi.org/10.52041/iase.obaue","url":null,"abstract":"Interpreting results from instruments requires appropriate validity evidence. However, evolution in the fields of educational measurement and statistics education means that the validity evidence supporting instruments is often narrowly focused. For the Validity Evidence for Measurement in Mathematics Education project, we are systematically documenting validity evidence for instruments used to measure constructs in statistics education (such as knowledge and attitudes) for students and instructors. The researchers identified instruments measuring statistics-specific constructs, where and how these instruments were used, and validity evidence supporting their use. A structured literature review approach was used to identify instruments developed since 2000 and studies that used them or contained relevant validity evidence. Validity evidence for each instrument was documented using a standardized system. Preliminary information about the instruments identified, the frequency of their published use, and the amount of published work containing validity evidence will be presented.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"77 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":"121742937","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 assessment tasks to prevent cheating in a large first-year statistics unit","authors":"A. Bilgin, Huan Lin","doi":"10.52041/iase.errob","DOIUrl":"https://doi.org/10.52041/iase.errob","url":null,"abstract":"The year of 2020 has witnessed a drastic change in education sector due to the COVID-19 pandemic. There has been a surge of online, non-invigilated assessments which required rethinking to ensure academic integrity due to e-cheating. We redesigned and implemented learning materials/activities constructively to transform student learning from surface to deep learning, even though teacher-student and student-student interactions were reduced. Assessments were redesigned at higher levels of Bloom's taxonomy (e.g. evaluate) to provide opportunities for students to express their understanding and minimize academic dishonesty. The assessments became online, non-invigilated and open book. A comparison of students' examination performances before and during the COVID-19 pandemic of a large first-year statistics unit shows that students' grades were not inflated or deflated due to the new assessments. The newly designed assessments were as good as or even better than the pre-COVID-19 assessments to quantify students learning while upholding academic integrity.","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":"121754092","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":"Using interactive simulation modules in JMP® for self-paced learning of introductory statistics","authors":"D. Meintrup, Volker Kraft","doi":"10.52041/iase.zbxcu","DOIUrl":"https://doi.org/10.52041/iase.zbxcu","url":null,"abstract":"An excellent way to deepen students’ understanding of statistical data analysis is to first have them perform experiments and then analyze the corresponding data. While this approach is already time-consuming and labor-intensive under normal circumstances, it becomes unfeasible in times of distance learning. Therefore, we replaced actual experimentation by interactive simulation modules. The statistical software JMP® includes 10 interactive teaching modules, covering basic concepts of statistics. We used these modules for a course in Engineering Statistics at a German University. The modules were well-received, students particularly appreciated three aspects: the ease of use, the interactivity of the modules, and the self-paced and time-independent form. In summary, JMP’s interactive simulation modules were helpful in deepening the understanding of basic statistical methods for engineering students. They can easily be integrated in introductory statistics classes as a tool for improving statistical literacy, for both distance learning or in-class learning situations.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"140 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":"131817693","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":"Watching Hands Shuffle Data Improves Subsequent Understanding of R-Based Simulations of Randomness","authors":"I. Zhang, Mary C. Tucker, J. Stigler","doi":"10.52041/iase.hlraw","DOIUrl":"https://doi.org/10.52041/iase.hlraw","url":null,"abstract":"Simulation can be a powerful tool for teaching and learning statistics. Yet, students often struggle to understand the processes that underlie computer-based simulation activities. Recently, researchers have tried pairing computer-based simulation with more concrete, hands-on experiences to make simulation-processes more evident, but only in settings where students perform the hands-on simulation themselves. In this research, we ask whether manual simulation is necessary. Participants who were introduced to the shuffle function by watching a video of a hands-on activity before watching a video of live-coding performed better in a posttest than participants who were introduced to the shuffle function by watching an instructor write and run some R code and explain what that code did. This study provides pedagogical and practical insights into the use of hands-on demonstrations to complement computer simulation in remote teaching.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"18 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":"133462591","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":"What can statistics education offer to data science?","authors":"Yap von Bing","doi":"10.52041/iase.ljrkt","DOIUrl":"https://doi.org/10.52041/iase.ljrkt","url":null,"abstract":"Data science relies heavily on statistical ideas, though it seems more concerned with prediction than statistics, which is more focused on modeling the data production process. This article will argue that the data scientist will do well to pay more attention to the likely disconnect between the chosen statistical model and the process it tries to emulate. Three learning goals are proposed and illustrated with elementary examples to help students grasp the idea. The disconnect is relevant to the replication crisis, yet is inadequately discussed in statistical communities. The lessons here are applicable to the education of statisticians.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"78 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":"124555422","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":"Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School","authors":"Sven Hüsing, Susanne Podworny","doi":"10.52041/iase.zwwoh","DOIUrl":"https://doi.org/10.52041/iase.zwwoh","url":null,"abstract":"Data Science has become an increasingly important aspect of our everyday lives as we gain a lot of different insights from data analyses, for example in the context of environmental issues. In order to make the process of data analyses comprehensible for lower secondary school students, we developed a data analysis project for computer science classes, focusing on gaining insights from environmental data by using the concept of epistemic programming. In this article, we report on the second implementation of this project, which was conducted in a ninth-grade computer science class. Concretely, we want to examine, how far the students were able to create computational essays to conduct reproducible data analyses on their own. In this regard, the computational essays created with the help of the professional tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"5 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":"124584099","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":"Assessment Question Type in a Statistics Course for Non Majors: Analysis of Students’ Preference","authors":"D. Okewole, O. Olubusoye","doi":"10.52041/iase.yqqbv","DOIUrl":"https://doi.org/10.52041/iase.yqqbv","url":null,"abstract":"This study involves the analysis of students’ preference on the Assessment Question Type (AQT) in an applied statistics course for non majors. Developing interest in a statistics course may be greatly influenced by performance in statistics courses taken earlier or expectations on the one being considered. It is important that assessment of the students’ performance in the course be through a valid evaluation tool which includes appropriate question type. Students’ AQT preference information was obtained using an instrument designed for the purpose and was shown to vary mostly between multiple choice and essay questions. Proportion of scores from multiple choice questions in the final examination was modeled with beta regression. Students’ level of understanding of the course (as judged by the total score in the examination) was shown to influence proportion of marks from the two AQT employed. Implications of the results were discussed.","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":"125030198","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":"Attending to Students’ Reasoning About Probability Concepts for Building Statistical Literacy","authors":"H. Sanei, Hollylynne S. Lee","doi":"10.52041/iase.byqzd","DOIUrl":"https://doi.org/10.52041/iase.byqzd","url":null,"abstract":"This paper investigates two specific probabilistic biases which middle graders usually exhibit when reasoning about probability and randomness on assessment items. We discuss how students' reasoning about key probability concepts undergirds statistics literacy related to randomness, independence, and the likelihood of future events based on past results. We examine factors evoking misconceptions and students’ (in)consistency in exhibiting them. Findings indicate that misconceptions can be evoked based on three types of factors including (1) students’ particular understandings of probability and randomness, (2) general item characteristics, and (3) aspects of probability in items. Moreover, possession of a specific misconception will most likely result in exhibiting the bias again on other occasions including the same evoking factors (consistency).","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"79 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":"123996350","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}
Caylor R. Davis, Karen B. Givvin, Jinna Hwang, Ji Y. Son
{"title":"Improving social and conceptual connections during remote statistics classes","authors":"Caylor R. Davis, Karen B. Givvin, Jinna Hwang, Ji Y. Son","doi":"10.52041/iase.udcmv","DOIUrl":"https://doi.org/10.52041/iase.udcmv","url":null,"abstract":"Remote instruction lacks shared physical space and physical social presence. This can make it difficult to incorporate embodied learning techniques, which have been shown to strengthen learning outcomes, into our lessons, and can make it difficult to feel socially connected to peers. We propose that incorporating embodiment into a synchronous lesson by engaging students in a physical task using a shared set of materials can help strengthen social and conceptual connections. We outline a high school statistics lesson on measurement error that involves building a popsicle stick catapult and measuring gummy bear launch distances. We distributed a set of all the necessary materials to the students at the start of the course. The activity simulated a sense of shared space and brought about multimodal learning and shared physical experiences. We witnessed enhanced joint attention, the development of physically grounded understanding, and increased engagement.","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":"129082374","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}