Skip to main content
Article
Quantifying Students' Scientific Problem Solving Efficiency and Effectiveness
Technology, Instruction, Cognition and Learning
  • Ronald H. Stevens
  • Vandana Thadani, Loyola Marymount University
Document Type
Article
Publication Date
1-1-2007
Disciplines
Abstract
Using online problem-solving tasks and machine learning tools, a measure has been developed to quantify the effectiveness and efficiency of students’ problem solving strategies. This measure can be normalized across problem solving tasks allowing the efficiency of problem solving to be measured across individuals, classes, schools and science domains. This extensible approach has relevance for helping teachers to teach, students to learn, and administrators to make intelligent, data-driven decisions via documentation of students’ problem solving progress.
Publisher Statement

Copyright 2007 Old City Publishing

Link to original publication: http://www.oldcitypublishing.com/journals/ticl-home/ticl-issue-contents/ticl-volume-5-number-2-4-2007/ticl-5-2-4-p-325-337/

Citation Information

Stevens, R.H., & Thadani, V. (2007). Quantifying students' scientific problem solving efficiency and effectiveness. Technology, Instruction, Cognition and Learning, 5(4), 325-337.