A Detailed Characterization of the Expert Problem-Solving Process in Science and Engineering: Guidance for Teaching and Assessment | Zendy

Argenta Price | Zendy; Candice J. Kim | Zendy; Eric Burkholder | Zendy; Amy Fritz | Zendy; Carl Wieman | Zendy

Open Access

A 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.

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