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This study introduces the Cheminformatics Online Chemistry Course (OLCC), a collaborative program addressing the lack of cheminformatics training for STEM students. The course materials are openly available for wider adoption.

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Area of Science:

  • Cheminformatics Education
  • Computational Chemistry
  • STEM Workforce Development

Background:

  • Increasing volume of chemical data necessitates cheminformatics skills for STEM professionals.
  • Limited availability of formal cheminformatics courses in educational institutions poses a challenge.
  • Need for accessible and adaptable cheminformatics training resources is critical.

Purpose of the Study:

  • To present the Cheminformatics Online Chemistry Course (OLCC) as a solution to the training gap.
  • To highlight a collaborative model involving academic institutions and industry/government experts.
  • To provide open educational resources for future cheminformatics education.

Main Methods:

  • Developed and delivered the Cheminformatics Online Chemistry Course (OLCC) from 2015-2019.
  • Employed a hybrid teaching model: face-to-face instruction at participating schools combined with online expert engagement.
  • Leveraged a collaborative network of instructors and external chemical information experts.

Main Results:

  • Successfully offered three iterations of the Cheminformatics OLCC.
  • Facilitated inter-institutional collaboration and cross-sectoral expert involvement.
  • Made all course materials publicly accessible through open education repositories.

Conclusions:

  • The Cheminformatics OLCC model effectively addresses the need for cheminformatics training.
  • Openly shared course materials promote wider adoption and adaptation by other institutions.
  • Collaborative, cross-sectoral approaches enhance the quality and reach of specialized STEM education.