2025 Massachusetts PKAL Summer Meeting

Schedule at a Glance

8:00 - 9:00 AMBREAKFAST AND REGISTRATION
Scanlon Banquet Hall
9:00 – 9:20 AM

WELCOME AND OPENING REMARKS

Dr. William Salka
Provost, Westfield State University

Loughmann Living Room, Scanlon Hall

9:20 - 9:30 AMBREAK
9:30 - 10:30 AMCONCURRENT SESSIONS

Workshop 1: RIDE Center
Using Fabrication Tools to Engage Students in Understanding Theoretical or Complex Contexts

Workshop 2: Scanlon B
Reimagining Metabolism: Teaching Pathways through Card Sorting

Presentation 1: Scanlon C
A. Meme-making for Computational Thinking
B. Great Problems Seminar - Shelter the World: A Case Study in Community Collaboration STEAM Project Curriculum
10:30 - 10:45 AMBREAK 
10:45 - 11:45 AMCONCURRENT SESSIONS

Presentation 2: Scanlon A
A. Designing a Biosafety Level 2 Lab: A Student-Led 3D Modeling Project to Advance STEM Learning and Research 
B. Data Visualization and Storytelling: Increasing Access to Data Science for Social Good

Presentation 3: Scanlon B
A. Using Art to Discover Physics
B. Storytelling and Embodied Learning in Physics & Earth Science Undergraduate Courses

Workshop 3: Scanlon C
Dancing in a Mathematics for Liberal Arts Class 
11:45 AM – 1:15 PMLUNCH AND GALLERY
Loughman Living Room and Scanlon Banquet Hall
1:15 - 1:30 PMBREAK
1:30 - 2:30 PM  CONCURRENT SESSIONS

Presentation 4: Scanlon A
A. Making Connections: Artistic Gaming and Mapping to Understand Metabolism
B. Visual Thinking Strategies: STEAM and Power

Workshop 4: Scanlon C
Problem Solving in STEM: What’s Art Got to do with it?

Workshop 5: RIDE Center
Science Fun with Arduino
2:30 - 2:45 PMBREAK
2:45 - 3:45 PM             CONCURRENT SESSIONS

Workshop 6: Scanlon A
Weather Art in a Pre-Service Education Class

Presentation 5: Scanlon B
A. Science of Stuff: A New Course to Engage Non-STEM Majors
B. Designing STEM Activities to Enhance Student Scientific Literacy in an Interdisciplinary Forensics Course

Presentation 6: Scanlon C
Dear Data: A Personal Data Collection and Visualization Project in The Context of an Interdisciplinary Seminar-Style Course on Data Feminism