Data-Enabled Pedagogies and Technology for Teaching and Learning Critical-Thinking and Decision Making Skills

Title Data-Enabled Pedagogies and Technology for Teaching and Learning Critical-Thinking and Decision Making Skills
Faculty/College/Unit Science
Status Active
Duration 3 Years
Initiation 04/01/2017
Funding Details
Year 1: Project Year Year 1
Year 1: Funding Year 2017/2018
Year 1: Project Type Large TLEF
Year 1: Principal Investigator Walter Algar
Year 1: Funded Amount 104,032
Year 1: Team Members

Jane Maxwell, Science Teaching and Learning Fellow, Chemistry, Faculty of Science / Carl Wieman Science Education Initiative
Noureddine Elouazizi, Strategist-Teaching and Learning Technologies, Skylight, Faculty of Science
Jackie Stewart, Senior Instructor, Chemistry

Project Summary

Critical-thinking, decision-making, and processing skills (CTDMP skills) are essential in STEM fields; however, few courses offer opportunities for students to practice these skills and receive feedback. We have developed a pedagogical method and a prototype online tool, code-named "Alchemy", that addresses this gap. A pilot study was enthusiastically-received by students and demonstrated strong potential for teaching/learning gains. We propose to further develop and evaluate the Alchemy concept through (1) enhancement of the online tool for greater versatility and capability in teaching/learning; (2) new pedagogical content development; and (3) new learning analytics capabilities to support data-enabled pedagogies that guide teaching/learning through metrics of class and individual student performance and attitudes.