Open AccessSuccessful Problem Solving in Genetics Varies Based on Question Content
Author(s) -
Jennifer S Avena,
Betsy B. McIntosh,
Oscar N. Whitney,
Ashton Wiens,
Jennifer K. Knight
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.21-01-0016
Subject(s) - metacognition , set (abstract data type) , content (measure theory) , cognition , process (computing) , key (lock) , computer science , mathematics education , psychology , mathematics , mathematical analysis , computer security , neuroscience , programming language , operating system
Student and expert problem solving in genetics was characterized by analyzing written step-by-step processes in four different content areas. A few processes that were associated with correct answers differed depending on content area, but reasoning was consistently predictive of successful problem solving across all content areas.