Assessing professional skills in STEM disciplines

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations


This paper puts forward a novel assessment framework, based on the Model of Domain Learning (MDL), to assess student development in various professional skills across Science, Technology, Engineering and Mathematics (STEM) disciplines. New graduates are not only required to have good technical skills but also excel in professional skills to be successful in their career choices. As a response, academic programs have integrated professional skills such as teamwork/communication, ethics, global awareness, creative problem solving, and leadership, into their curricula. However, there are challenges in the assessment of learning outcomes related to professional skills. By designing a uniform assessment framework for all professional skills and developing a set of coherent assessment instruments that can be tailored according to the learning objectives and student level, the proposed assessment framework aims to facilitate the integration of professional skills assessment into an overall program assessment plan. The proposed framework will be tested in various course levels (i.e., first year to senior) from STEM majors at various institutions.

Original languageEnglish (US)
Title of host publicationISEC 2013 - 3rd IEEE Integrated STEM Education Conference
StatePublished - 2013
Event3rd IEEE Integrated STEM Education Conference, ISEC 2013 - Princeton, NJ, United States
Duration: Mar 9 2013Mar 9 2013

Publication series

NameISEC 2013 - 3rd IEEE Integrated STEM Education Conference


Other3rd IEEE Integrated STEM Education Conference, ISEC 2013
Country/TerritoryUnited States
CityPrinceton, NJ

All Science Journal Classification (ASJC) codes

  • Automotive Engineering


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