Open AccessA Detailed Characterization of the Expert Problem-Solving Process in Science and Engineering: Guidance for Teaching and Assessment
Author(s) -
Argenta Price,
Candice J Kim,
Eric Burkholder,
Amy Fritz,
Carl Wieman
Publication year - 2021
Publication title -
cbe life sciences education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.33
H-Index - 67
ISSN - 1931-7913
DOI - 10.1187/cbe.20-12-0276
Subject(s) - process (computing) , set (abstract data type) , embodied cognition , computer science , domain (mathematical analysis) , quality (philosophy) , management science , discipline , data science , artificial intelligence , engineering , mathematics , epistemology , sociology , mathematical analysis , social science , philosophy , programming language , operating system
A study of the problem-solving process used by skilled practitioners across science, engineering, and medicine revealed that their process can be characterized by a set of 29 specific decisions. They select and use frameworks of disciplinary knowledge to make those decisions. This work will enable better assessment and teaching of problem-solving skills.