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2026 ASEE Annual Conference & Exposition

RIEF: Implementing Problem-Based Learning to Facilitate Problem Abstraction Skills in a Statics Course

Presented at NSF Grantees Poster Session II

This project is focused on students’ problem-solving skill acquisition in a sophomore level engineering mechanics course (statics) with emphasis on building their problem-solving skills through problem abstraction (simplifying real-world objects to Free Body Diagrams). The first phase of the project involved planning and development of course materials and research studies. The second phase of the study involves teaching the course using instructional approaches that allow for students to practice developing problem abstraction skills through physical models and group problem solving. This poster will provide a summary of lessons learned in the first two iterations of teaching the course (second project phase), specifically the use of physical models, shared group explanations of problem framing and solutions, homework problems, test questions, reflection prompts and problem-solving assessment techniques.

Instructional approaches in this course were designed to encourage cooperative learning. Students were organized into teams by the instructor based on compatibility of students’ schedules. Teams began working together by collaboratively developing team contracts outlining roles and expectations. Teams worked together both in and outside of class on homework problems, design problems, and on the analysis of physical objects. These tasks were designed to improve their problem abstraction and analysis skills as well as developing intuition about how physical systems behave. While much of the work was done in defined teams, various other collaborative group approaches were used, such as jigsaws, to encourage students to take responsibility for explaining problems to their peers. Lessons learned from the first iteration of the course were used to re-construct the class for the second iteration.

Students’ problem solving skills were assessed for each homework problem set. Students were given feedback on how well they completed various steps in the problem solving process, including developing a problem statement, representing the problem, organization of information, use of equations and calculations, explanations of solution and checking for accuracy. Students were also prompted to rate their confidence in their knowledge needed to complete the problem, the amount of effort they put into the problem, their level of frustration, and their confidence in being able to solve a similar problem in the future.

Indicators of student learning and the success of instructional approaches used in the course include observations about student engagement in the course activities, student performance on homework problems and tests, students’ self-reported confidence in their knowledge and skills, and how well teams are functioning in the team-based approach to problem solving using an established teamwork survey (ITP Metrics). These data were supplemented by focus groups of students in the class.

Preliminary results show student engagement is as anticipated: students are explaining their homework problem solutions to peers, working in teams on problems, and manipulating the physical models (with guidance) in class. Initial results from graded homework problems indicate that students are feeling confident in their knowledge to complete the problems and in their ability to solve similar problems in the future.

Authors
  1. Margaret Ann Bolick Clemson University [biography]
  2. Sarah Otterbeck Clemson University [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026