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About Quizzing With Confidence (QuizCon)

QuizCon is a tool that was developed by the Columbia University Center for Teaching and Learning to extend the utility of online multiple choice quizzing. Using Confidence Weighted Multiple Choice questions, QuizCon aims to improve the multiple choice quizzing experience for both students and teachers. If you are an instructor who uses multiple choice quizzing in your classes, you may want to consider using QuizCon in your course. Research has shown that it can have an improved effect in long term retention of information, provides students flexibility and the opportunity to earn partial credit, and allows for you, the instructor, to get a more accurate view of student understanding of the content (Sparck, Bjork, & Bjork, 2016).

Highlighting the Difference in Question Types

Traditional Multiple Choice Confidence Weighted Multiple Choice
Must go all-in on one answer option. Intervals allow you to show confidence when stuck between two chives.
No opportunity for partial credit. Can score partial credit from confidence interval options.
No option when a student doesn’t know the answer. “I don’t know” option with partial credit.

Learning Benefits of Confidence-Weighted Multiple Choice

From Sparck, Bjork, & Bjork (2016), students:

  • can more accurately show what they understand
  • are less likely to guess
  • are more likely to increase future retrieval of information associated with the question, such as feedback

Piloting Faculty

Alfredo Spagna, Lecturer in the Discipline of Psychology

Sarah Hansen, Senior Lecturer in the Discipline of Chemistry

Center for Teaching and Learning

Catherine Ross, Executive Director

Maurice Matiz, Senior Director

Natalia Dittren, Programmer

Meesha Meksin, Project Manager

Marc Raymond, Senior Designer, Experience and Creative

Michael Tarnow, Principal Investigator and Learning Designer for Science and Engineering

References

Sparck, E. M., Bjork, E. L., & Bjork, R. A. (2016). On the learning benefits of confidence-weighted testing. Cognitive research: principles and implications, 1(1), 1-10.