Regina Lisinker
  • Research
  • Teaching

Research

Here’s what I’ve been up to at the University of Minnesota!

Lab Member | Lab Advancing Statistics Education Research (LASER)

  • Collaborative research with statistics education researchers at the University of Minnesota
  • Curriculum development: Algorithmic Modeling
    • Building on past research teaching CART algorithms, LASER is currently designing activities focusing on the kNN algorithm
    • I’ve been helping to develop educational materials to teach classification methods and introductory machine learning techniques
    • Putting my love of powerpoint templates to good use, I was responsible for formatting and styling templates to design high-quality presentations
    • See our workshop materials from MCTM ’24!
  • Curriculum development: Data Visualization
    • I worked to help reorganize and update the course activities for EPSY 1261: Understanding Data Stories through Visualization & Computing
    • This is partially in preparation for my Ph.D. milestone/dissertation work on the comprehension and creation of data visualization
  • Service to the field
    • We presented at MCTM ’25 this year to give math instructors ways to incorporate:
      • statistics and data science activities in their classrooms to meet upcoming Minnesota state standards
      • statistics education research in their teaching

Graduate Assistant | College in the Schools (CIS): Statistics Cohort

Faculty Coordinator
  • I help plan and implement day-long professional development training sessions three times each year for the statistics cohort of CIS high school teachers
    • Professional development topics include: data wrangling pseudo code, item writing, inter-rater reliability, and item analysis
  • Part of this position means I get to observe instructors to provide feedback on classroom engagement strategies two to three times each semester
  • See our workshop materials from MCTM ’24 to learn more about the course!

Research Assistant | DataX: Exploring Justice-Oriented Data Science with Secondary School Students

Data Analysis
  • I’ve been getting to explore qualitative coding of video through this NSF-funded project
    • Video is obtained from a secondary school social studies class learning data science topics
  • As part of this position, I am responsible for preparing reports and presentations on co-designed curriculum and research findings
    • Check out our workshop materials from DSE K-12 ’25 for more information on the curriculum
    • I’ll also be presenting an 8 page paper on this work at ISLS ’25 in Helsinki this summer

Research Assistant | Data Science-Wrangle Analyze Visualize (DSC-WAV): Code Review

Evaluation Team
  • I created educational resources for data science students learning how to review code (code review checklist, style guide considerations, etc.) and surveyed students on their code review processes
  • Learn more about my MA Thesis work here!

Other Projects

Attitudes Towards Statistics
  • My first project as an MA student was looking into student attitudes towards statistics through a qualitative lens
  • I might return to this at a later date once I have a chance to collect fresh data and implement the lessons I’ve learned since my first semester of grad school
  • Check out this page to see my first research poster