Development of a framework for graph choice and construction
Author(s) -
Aakanksha Angra,
Stephanie M. Gardner
Publication year - 2016
Publication title -
ajp advances in physiology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.501
H-Index - 60
eISSN - 1522-1229
pISSN - 1043-4046
DOI - 10.1152/advan.00152.2015
Subject(s) - bar chart , categorical variable , computer science , competence (human resources) , graph , mathematics education , multiple choice , artificial intelligence , data science , psychology , theoretical computer science , mathematics , machine learning , social psychology , statistics , significant difference
collecting, understanding, and interpreting data are key skills that all students should master ([8][1], [12][2], [22][3], [33][4]). Research on graph interpretation and basic construction is extensive, and student difficulties, primarily in K-12 type settings, have been well documented [e.g., graph
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