Successful Problem Solving in Genetics Varies Based on Question Content | Zendy

Jennifer S. Avena | Zendy; Betsy B. McIntosh | Zendy; Oscar N. Whitney | Zendy; Ashton Wiens | Zendy; Jenny Knight | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Successful Problem Solving in Genetics Varies Based on Question Content

Author(s) -

Jennifer S. Avena,

Betsy B. McIntosh,

Oscar N. Whitney,

Ashton Wiens,

Jenny 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research