research overview
- Our educational studies focus on how the design of instructional materials and generative AI-powered tutorial/analysis system influence student engagement, thinking, and learning outcomes. We are using trained generative AI socratic biology chatbots and working on determining 'best practices' for using these tools as tutors and evaluators. As part of a long term collaboration with Melanie Cooper (Michigan State University), we have produced free (open educational resources) and redesigned course materials (textbooks and activities) focussed on core concepts and mechanistic explanations for general and organic chemistry (CLUE/OCLUE) and molecular biology (biofundamentals) together with a web-based graphical assessment system (beSocratic). We are looking incorporate the various abilities of ChatGPT4 (and related tools) to make course materials more interactive. We hope turn these tools into independent not-for-profit entities. We are encouraged by the recent demonstrated impacts on student learning and success of concept-based materials (e.g. CLUE). In particular, work by Ralph et al., (2022. Advancing Equity in STEM: JACS Au, 2, 1869-1880) indicates that a greater conceptual focus can positively impact the success of under-privileged students and improve learning outcomes for all students. I have been working with Michael Stowell (MCDB, UC Boulder) on developing modules for the SkillCenter Courses (MCDB 1234, 3456, 4567) aimed at providing students with real world, certifiable technical training.