To assist our students with readiness for their quantitative work across the curriculum, and to investigate the role that online resources may play in this, the Liberal Arts Collaborative for Digital Innovation (LACOL) has kicked off a multi-campus development and educational research initiative, nicknamed QLAB. The QLAB project provides a framework for creating a series of modules called Q-bits. Each online Q-bit module focuses on a particular quantitative skill or concepts and provides instructional and review content that is “wrapped” by pre/post knowledge and confidence checks, contextual guides, and applications problems in several disciplines.
In developing Q-bits, the instructional content is hand-selected by our faculty in order to achieve of an appropriate scope and level for students. In many cases, faculty are able to draw on existing high-quality materials, especially on a set of polished instructional videos shared by our collaborators at Yale University through their ONEXYS program. In some cases, faculty are adding custom introductory or instructional components to provide cues for students so they see how each Q-bit relates to their studies in different disciplinary contexts.
In testing Q-bits, LACOL faculty and instructors are well positioned to assess the effectiveness of the online modules in the context of in-class assignments, as refreshers alongside a class, or in the context of mentoring by academic support staff or peer tutors.
- Melissa Eblen-Zayas, Assoc. Professor Physics, Carleton College
- Adam Honig, Professor of Economics, Amherst College
- Laura Muller, Director Peer Instruction, Williams College
- Janet Russell, Director Academic Technology, Carleton College
- Online Modules for Quantitative Skills: Exploring Adaption and Adoption Across LACOL
- QLAB Update and Discussion at LACOL 2018
- April 25: QLAB Information Session
- QLAB / Q-bits Framework for Quantitative Skills Modules
- Q-bits discussion at the Annual NNN Conference
- QLAB update: piloting Q-bits with students (Fall ’17)
- Q-bit: Logarithms
- Q-bit: Linear Functions
- Q-bit: Choosing a Graph Type to Visualize Data
- Nov 15: QLAB Webinar – Update on Q-bits Testing in Fall ’17 Pilot (+ What’s Next?)