Data Science Teaching Showcase Projects

Poster presentation titled “Question Based Data Science Task: Generating and Researching Questions Related to the Measles Epidemic.” The layout includes sections for introduction, student question development, research findings, conclusions, and improvements. It describes a classroom activity where high school students analyzed measles outbreak data, created research questions, and presented findings. The poster includes written summaries, example student questions with spelling errors, maps of measles cases across the United States, and screenshots of related news articles. Utah State University branding appears in the top right corner.
Poster titled “Leading Students to Ask Questions: A Unit Taking Students Through the Question Formulation Technique,” outlining a three-step classroom process where students explore study habits, conduct experiments, and develop questions. Includes a flow diagram of the question formulation process, example student-written questions and categories, photos of students working, and key takeaways about improving student data inquiry skills.
Poster titled “Question Formulation using NCAA Basketball National Championships” describing a classroom data analysis project where students generated and researched statistical questions about March Madness. Includes examples of student questions, data visuals about tournament outcomes and seedings, and reflections emphasizing critical thinking, data analysis, and student engagement.
Poster titled “Traditional v Cultural Tobacco and the Impact on Communities” outlining a classroom activity where students generate and refine research questions about tobacco use. Includes a comparison of traditional versus commercial tobacco, examples of student questions, a process flow for discussion and revision, and reflections on improving data-centered questioning skills.
Poster titled “6th Graders benefit from simple and structured activities” describing a classroom project where sixth-grade students analyzed gameplay data, created observations and statistical questions, and used a structured approach to interpret data. Includes a sample student graph, written observations, and example student-generated questions.
Poster titled “Teaching Probability Models With Fun Facts” showing a four-step classroom process where students research a statistical fact, develop a question, run a simulation, and present results. Includes example visuals about NCAA athlete statistics, a spinner simulation, summary results, and notes on student engagement and instructional improvements.
Poster titled “Statistical Analysis of Max Capacity” describing a classroom project where students estimated how many people could attend a football stadium graduation. Includes summaries of data collection methods, comparisons of estimation strategies, student work samples, photos of stadium seating, and reflections on teaching statistical concepts like mean, median, and variability.
Poster titled “Student Analysis of K12 Data” describing an AP Statistics project where students used the Utah Data Gateway to explore school data, create research questions, and analyze results. Includes example student questions on chronic absenteeism and test scores, sample graphs, and reflections on data analysis skills and project outcomes.
Poster titled “Project-Based Learning Unit: New Tardy Policy” describing a data science project where students investigated the effects of a school tardy policy. Includes steps of the data science process, sample survey questions, data visualizations on tardiness and student perceptions, and reflections on student engagement, scaffolding, and application of statistical analysis.
Poster titled “Trust the Process” illustrating a classroom project where students brainstormed, refined, and selected research questions, then planned data collection and analysis. Includes stages of the process, examples of student questions, project planning steps, and lessons learned about supporting student inquiry and flexibility in instruction.
Poster titled “Data Detective: Independence of 8th Grade Students” describing a classroom inquiry project where students used surveys and the Question Formulation Technique to explore student independence. Includes example questions, survey results with charts and graphs, reflections on findings, and notes on improving student confidence with open-ended data analysis.
Poster titled “Too Early to Learn?: Investigating School Start Times” describing a classroom project where students used maps and data to explore how school start times relate to student outcomes. Includes sample student analyses, statistics on start times across school levels, and reflections on engagement, collaboration, and improving data-driven inquiry.
Poster titled “Classroom Insights From the Cursive Data Investigation Task” describing a data investigation project where students used the question formulation process to study cursive writing trends. Includes steps of student engagement, data collection and analysis methods, sample student work, charts of survey results, and reflections on engagement, AI use, and instructional improvements.
Poster titled “Deep Diving into the Titanic” describing a data science project where students analyzed the Titanic dataset by asking questions, using two-way tables, and presenting findings through infographics. Includes examples of student work, reflections on using pivot tables and scaffolding, and notes on improving student understanding of probability and data analysis.
Poster titled “What Do You Wonder?” describing a classroom activity using the Question Formulation Technique where students generated questions about screen time and fatigue, collaborated to design data collection, and analyzed results. Includes student examples, sample data tables and graphs, and reflections on engagement and inquiry skills.
Poster titled “Decoding US‑6” describing a student data investigation into one of Utah’s most dangerous highways. Includes background on crash history, student research questions about accident patterns and safety, a map of the highway, a fatalities comparison chart, and conclusions about risk based on death rates along different routes.
Poster titled “Data Science in Action: Teaching Confidence Intervals & Hypothesis Tests with Student-Collected Data” describing an AP Statistics project where students designed a survey on free time, analyzed individual and class data, and applied inference methods. Includes a sample survey question, data tables, and reflections on student engagement and improving study design.
Poster titled “Finding the Cleanest Water in San Juan County” describing a student science project investigating local water quality through sample collection and chemical testing. Includes methods, results identifying and retesting elevated lead levels, photos of testing activities, data charts on contaminants, and reflections on improving analysis and community relevance.
Poster titled “Beyond the Clock: Redefining Digital Wellbeing” describing a student data project analyzing screen time by content and purpose rather than total hours. Includes case studies with usage statistics, charts of student activity categories like entertainment and productivity, and reflections on transparency, privacy, and improving data analysis practices.
Poster titled “Students Modeling Math Learning” describing a classroom project where students generated questions, collected and analyzed data, and created models to understand factors influencing math proficiency. Includes sample student graphs, classroom tasks, conclusions about data literacy skills, and suggested improvements for modeling and data collection.
Poster titled “What is the Effect of Social Media on Teens’ Mental Health?” describing a classroom data investigation where students used statistical methods to explore relationships between social media use and mental health. Includes sample student analyses, charts comparing usage levels and outcomes, and reflections on student learning and future instructional improvements.
Poster titled “Parallel Activities for Data Science Exploration” describing multiple classroom activities including comparing student heights, analyzing precipitation data, simulating sampling with a census activity, and conducting class surveys. Includes examples of dot plots and pie charts, and highlights skills in comparing populations, creating representative samples, and interpreting data.
Poster titled “Exploring the Relationship Between School Safety and Connectedness” describing a student investigation into how feelings of safety and belonging at school are related. Includes research quotes, a modeling task with student-designed data collection and analysis, examples of student questions, and reflections with suggested improvements on clarifying variables and ethical guidelines.
Poster titled “Data Science Can Be Grave Business!” describing a classroom data science task where students used cemetery records to analyze lifespan data and build predictive models. Includes task overview, steps for data collection and analysis, a sample dataset and scatterplot, and reflections on limitations, results, and culturally relevant learning.
Poster titled “QFT and the Data Science Process” describing a modeling task where students used the Question Formulation Technique to generate data-driven questions, find datasets, and create visualizations. Includes lesson steps, objectives, examples of student projects with charts, and reflections on implementation, assessment, and improving question development skills.
Poster titled “Navajo–Churro Sheep: the Impact on Diné Culture” describing a student project exploring the historical, cultural, and economic significance of Navajo-Churro sheep. Includes background information, student research questions and analyses, images of sheep and weaving practices, and reflections on improving question development, resources, and culturally relevant data investigations.