When students can choose easy, medium, or hard homework problems
Citations Over TimeTop 11% of 2012 papers
Abstract
We investigate student-chosen, multi-level homework in our Integrated Learning Environment for Mechanics [1] built using the LON-CAPA [2] open-source learning system. Multi-level refers to problems categorized as easy, medium, and hard. Problem levels were determined a priori based on the knowledge needed to solve them We analyze these problems using three measures: time-per-problem, LON-CAPA difficulty, and item difficulty measured by item response theory. Our analysis of student behavior in this environment suggests that time-per-problem is strongly dependent on problem category, unlike either score-based measures. We also found trends in student choice of problems, overall effort, and efficiency across the student population. Allowing students choice in problem solving seems to improve their motivation; 70% of students worked additional problems for which no credit was given.
Related Papers
- → A Priori Knowledge(2009)20 cited
- → Contingent A Priori Knowledge(2020)2 cited
- → An analysis of the a priori and a posteriori(2003)
- How to Understand a Priori Knowledge(2010)
- → A Priori(2002)