Webinars |
IASE Satellite 2023 | Fostering learning of statistics and data science | ProceedingsPresented at: 11 July 2023; 20:00 UTC Webinar duration: 0 minutes Presenter(s): Editor: Elinor Jones Editor's NotePreface➶ Elinor Jones IASE 2023 Satellite Conference➶ PapersPanelPutting Research into Practice: Applying Evidence-Based Principles to Foster Student Learning in Statistics and Data Science➶ Samantha-Jo Caetano, Bruno de Sousa, Anna Fergusson, Laura Le, Alison L. Gibbs, Bethany White and Sotirios Damouras Topic 1: Fostering Learning in the Current Data Landscape• Preparing Future Life Science Researchers to Engage with Statistics in Research Bethany White and Jastaranpreet Singh • The Role of Statistics to Advance the Sustainable Development Goals Huan Lin, Ayse Bilgin, Judyth Hayne and Anna Wells • Learning Development in Statistics Education Colette Mair and Jingxuan Fu • Teaching Classification Module in Data Science Course for Undergraduate Non-Stem Students Using Project Based Learning Methodology Yelena Stukalin and Anna Khalemsky • Describing The Didactic-Stochastic Knowledge of Pre-Service Mathematics Teacher: The Case of Chile Felipe Ruz, Francisca M. Ubilla and Valentina Giaconi • Curating Datasets to Support Middle School Student Inquiry Jan Mokros, Andee Rubin, Jacob Sagrans and Traci Higgins • Mastery Of Learning - Does It Make a Difference to Students’ Online Engagement and Performance in A First-Year Statistics Unit? Karol Binkowski • Promoting Reflective Learning in Big Data Analytics: Key Facets and Pedagogical Strategies Rossi Hassad and Gerald Iacullo • Infusion Of Data Science and Computation in Introductory Statistics Sayed Mostafa, Tamer Elbayoumi and Seongtae Kim • Interactive Engagement in Reasoning About Variance David Trumpower • Interdisciplinary and Differentiated Learning of Statistics in an Online MPH Marta Avalos-Fernandez and Gaëlle Coureau • Enhancing Data Science Learning Through the Use of Images Karsten Lübke, Gero Szepannek and Martin Vogt • Data Literacy Competencies of Students at Tu Dortmund University Henrike Weinert, Alina Künne and Katja Ickstadt • Teaching Social Science Students to Think with Data Joachim Engel and Florian Weber-Stein • Teaching Statistics to Psychology Students: Two Strategies to Overcome Some Limitations Eduardo Leon Bologna, Marcelo Vaiman, Débora Mola, Milagros Martínez, Antonella Bobbio and Gabriela Rivarola Montejano • Studying Interdisciplinary Thinking About Complex Real World Data at Datafest Traci Higgins, Jessica Karch and James Hammerman Topic 2: Cultivating Probabilistic Thinking for Data Analysis• Introducing Reflective Learning in a Large Probability Class Uma Ravat and Veronika Rozhenkova • "Mini-Studies of Prevalence": A Way to Introduce Probability Bases and their Relationship with Data Analysis Emilse Gomez-Torres • Recalculating for the Real World Katryne Dubeau, Sandra Hall and Egan Chernoff Topic 3: Enhancing Statistics and Data Science in Schools• Who takes Stats in US High Schools? Backgrounds, Interests, & Aspirations Emma M. Klugman, Gerhard Sonnert and Philip M. Sadler • Civic Statistics and Interdisciplinarity in the Chilean School Curricula Francisca Manríquez Ubilla, Valentina Giaconi and Felipe Ruz • Analysis of the Conceptions of Teachers Engaged in Statistical Learning Projects Cassio Cristiano Giordano • An Analysis of K-8 Pre-Service Teachers as Data Storytellers Heather Barker and Emily Elrod • Training Mexican High School Teachers to Enhance Data Science Teaching Rosa Daniela Chávez Aguilar and Ana Luisa Gómez Blancarte • Statistical Literacy and the Role of Communication Gail Burrill and Anthony Dickson • Tensions when Teaching the Investigative Cycle in Pre-Service Teacher Education Valentina Giaconi, Francisca M. Ubilla and Helena Montenegro • Integration Of Statistical Reasoning, Scientific Reasoning and Nature of Science Understanding Through Citizen Science Keren Aridor, Michal Dvir, Dina Tsybulsky and Dani Ben-Zvi • Passion-Driven Statistics: A Course-Based Undergraduate Research Experience (Cure) Lisa Dierker, Jennifer Rose and Valerie Nazzaro • Three Cognitive Science Principles Every Stats Teacher Should Know Ross Metusalem Topic 4: Promoting Inclusion in Statistics and Data Science Education• Flexible Deadlines and Statistical Communication Samantha-Jo Caetano • Promoting Inclusion and A Sense of Belonging in A New Intro Stats Course Shu-Min Liao • A Framework for The Design of Gender Inclusive Activities V.N. Vimal Rao, Jax Mader and Eric Friedlander • First Steps Towards Implementing Universal Design for Learning to Support Equitable Assessments Nikolas Zelem, Diana Skrzydlo and Chelsea Uggenti • Fostering Data Science and Statistics Education in Africa Via Online Team-Based Learning Olushina Olawale Awe, Kim Love and Eric Vance • Masdering Attitude Research in Statistics and Data Science Education: Instruments for Measuring Students, Instructors, And the Learning Environment Douglas Whitaker, Alana Unfried, Leyla Batakci, Marjorie E. Bond, April Kerby-Helm and Michael A. Posner • Tangible Statistics Annamaria Lisotti and Laura Vicini • Disciplinary Appropriation at The Beginning of a Statistics Major Florian Berens, Kelly Findley, Nicola Justice and Christopher Kinson • What Lessons Have Educators Learnt from The Pandemic? How To Move Towards an Inclusive Education Bruno de Sousa Topic 5: Achieving Coding Competencies in Data Science Students• Learning Difficulties of Introductory Data Science Students Sinem Demirci, Mine Dogucu, Andrew Zieffler and Joshua Rosenberg • Integrating R and Python into an Applied Econometrics Course Lucía Carolina Varela • Designing Positive First Experiences with Coding for Introductory-Level Data Science Students Anna Fergusson • LearnR Modules for Self-Paced Learning of Linear Regression Concepts Katherine Daignault and Mohammed Kaviul Khan PostersTopic 1: Fostering Learning in the Current Data Landscape• Overcoming the challenges in developing an introductory course on the foundations of data Jessica Jaynes and Sam Behseta • Measuring statistics anxiety and related concepts: a validation of the statistics anxiety scale Katalin Grajzel and Kelli Klebe • Ethics in infographics, is it part of the curriculum? Salma Banu Nazeer Khan, Ayse Bilgin, Deborah Richards and Paul Formosa • Mobile apps for teaching and learning statistics Bernhard Klingenberg • Cases, Excel, Tableau: data analytics for business undergraduates M. Gray Hunter, John McClintock and Adam Molnar • Pedagogical considerations for teaching data translators Boba Samuels, Brandon Dickson, Douglas Woolford and Donna Kotsopoulos • Engaging students by working with real-life survey data concerning Covid-19 pandemic Asal Aslemand, Madeleine Mant, Thanvi Kiran and Sahar Fahimi • Adaptive learning courseware for a first course in undergraduate statistics: pedagogical practices and empirical evidence Denny Garvis Topic 2: Cultivating Probabilistic Thinking for Data Analysis• Impact of teaching applied statistics in a virtual instance of a postgraduate course Teresita Teran and Augusto Nascimbene • Problem-first course design Jack Davis Topic 3: Enhancing Statistics and Data Science in Schools• Leveraging alumni writing to improve statistics curriculum Nicholas Bussberg and Laura Taylor • Statistical reasoning in the training of future Mexican telesecundaria teachers Alberto Santana-Ortega and Roselia Ramirez-Hernandez • Designing instruction: from candy to computers Susan Archer • Enhanced graduate training in health data visualization and analytics Lisa Lix, Elizabeth Borycki, Andre Kushniruk and Viktoriya Vasylkiv • Making use of comics to teach statistics Nicolas Greliche Topic 4: Promoting Inclusion in Statistics and Data Science Education• A collaborative pedagogy of mixed methods research: an inclusive approach in data science education Kaushik Jana and MaryAnn Chacko • Passion-driven statistics Kristin R. Flaming, Lisa Dierker and Jennifer Rose • Thinking beyond numbers: students' perceptions of communicating statistics through the arts Asal Aslemand, Vicki Zhang, Anna Ly and Mark Asuncion • An opportunity to explore inclusion in the statistics classroom with the SMARVUS dataset Jenny Terry • Another queer extension of Martin Gardner's two-child problem: the Facebook edition Sandra J Hall, Katryne Dubeau and Egan J Chernoff • Preliminary results from a survey on diversity, equity, and inclusion in university level introductory statistics courses Kirsten Doehler and Heather Barker • How to design a data science project that contributes to truth and reconciliation in a diverse classroom? Hossam E. Abdel Moniem, Kelly Murray-Stoker, Tee Duke and Helene Wagner • Connecting and supporting statistics and data science education researchers through the cause organization Laura Le and Matthew Beckman • Statistics anxiety and ungrading in psychology graduate students Alyssa Counsell Topic 5: Achieving Coding Competencies in Data Science Students• Teaching data science principles with R Uma Ravat • Talking in code: code review as a form of communication Regina Lisinker, Andrew Zieffler and Chelsey Legacy • Considering students' computer literacy in statistical coding courses Markus Herklotz and Anna-Carolina Haensch |