Year: 2020
Type: conference-paper
Abstract: The benefits of a challenge-based environment are recognized by experts in learning science but are infrequently translated to practice in engineering courses.Although individual instructor styles occasionally offer challenge-based instruction, rare is the engineering course in which challenge-based learning is a consistent focus.Few systematic methods for the creation of challenge-based learning materials exist, presenting an obstacle to adoption of this powerful educational technique.We describe the development and implementation of a challenge-based learning mosaic for biotechnology based on three coupled Legacy Cycle (LC) modules.LCs are templates for challenge-based instruction that use a convenient PowerPoint platform for development and distribution.Learning scientists and biotechnology domain experts worked together to:• identify the broad (mosaic-level) challenge • distill three specific (module-level) challenges from the broad challenge • create materials supporting the creation of three challenge-based LCs • refine the LCs using analysis from domain experts • conduct a preliminary assessment of the LCs on biotechnology novices • apply the LCs in BME 281: Biotechnology at Vanderbilt University • assess the impact of challenge-based LCs on learner capabilitiesThe initial LC within the mosaic was based on qualitative observations of mammalian cell culture bioreactor design and operation.Subsequent LCs examined the quantitative aspects of mass and momentum transfer in bioreactors.The biological properties of mammalian cells were integrated with the engineering principles into the overall challenge to produce sufficient recombinant protein for formulation as a pharmaceutical agent suitable for commercial distribution.
DOI: 10.18260/1-2--8990
Authors: Todd Giorgio, Sean P. Brophy
Institution: Vanderbilt University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
Funder: National Science Foundation
OpenAlex ID: W92908209