Teaching Cheminformatics through a Collaborative Intercollegiate Online Chemistry Course (OLCC)

Autor: Jennifer L. Muzyka, Andrew P. Cornell, Ehren C. Bucholtz, Tanya Gupta, Ye Li, Sunghwan Kim, Robert E. Belford, Dean H. Johnston, Delmar S. Larsen, Layne A. Morsch, Kristen D. Fulfer, Andrew S. Lang, Leah McEwen, Evan Hepler-Smith, Kristin Briney, Jordi Cuadros
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Chemical Education
Journal of chemical education, vol 98, iss 2
Popis: While cheminformatics skills necessary for dealing with an ever-increasing amount of chemical information are considered important for students pursuing STEM careers in the age of big data, many schools do not offer a cheminformatics course or alternative training opportunities. This paper presents the Cheminformatics Online Chemistry Course (OLCC), which is organized and run by the Committee on Computers in Chemical Education (CCCE) of the American Chemical Society (ACS)’s Division of Chemical Education (CHED). The Cheminformatics OLCC is a highly collaborative teaching project involving instructors at multiple schools who teamed up with external chemical information experts recruited across sectors, including government and industry. From 2015 to 2019, three Cheminformatics OLCCs were offered. In each program, the instructors at participating schools would meet face-to-face with the students of a class, while external content experts engaged through online discussions across campuses with both the instructors and students. All the material created in the course has been made available at the open education repositories of LibreTexts and CCCE Web sites for other institutions to adapt to their future needs.
Databáze: OpenAIRE