Document Type
Article
Publication Date
2007
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.
Original Publication Citation
Stevens, R.H., & Thadani, V. (2007). Quantifying students' scientific problem solving efficiency and effectiveness. Technology, Instruction, Cognition and Learning, 5(4), 325-337.
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/
Digital Commons @ LMU & LLS Citation
Stevens, Ronald H. and Thadani, Vandana, "Quantifying Students' Scientific Problem Solving Efficiency and Effectiveness" (2007). Psychological Science Faculty Works. 5.
https://digitalcommons.lmu.edu/psyc_fac/5
