So far in 2024 one team-level project was funded to the amount of $14,967.
More information to come once our fall competition cycle is complete.
Projects Title | PIs/ Collaborators | Amount Received |
Investigating Student Digital Ecologies for Designing an AI in Chemistry Course | Lyniesha Ward | $14,967.00 |
Investigating Student Digital Ecologies for Designing an AI in Chemistry Course
Principal Investigators:
Lyniesha Ward - Assistant Professor, Department of Chemistry and Chemical Biology
Jingzhi Pu - Associate Professor, Director of Graduate Studies, Department of Chemistry and Chemical Biology
Abstract:
Recent advances in artificial intelligence (AI) have led to new insights for its utility in chemistry research. However, our current chemistry curriculum does not address the affordances of these technologies. We propose a project that will identify gaps and address the needs within our department to bolster our graduate education program. The goals of this project are to (1) characterize the digital ecology of our chemistry graduate students, (2) bolster our graduate education through the development of an evidence-based and research-backed innovative AI in Chemistry course, and (3) develop an assessment to capture students’ AI literacy. Qualitative methodologies will be used to characterize student digital ecologies. Insights from the literature and student and faculty data will be leveraged to develop the course (via principles of backward design), and the assessment. Additionally, the AI literacy assessment will be one measure used to evaluate the impact of the course. This project has the potential to transform the research in the department and lead to a more robust STEM workforce.
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