Mastery Learning Improves Performance on Complex Tasks on PCP Literacy Test

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Authors: Chandana Srinivas, Elif E. Fırat, Robert S. Laramee, Alark P. Joshi
Cited by: 0

Abstract

Developing literacy with unfamiliar data visualization techniques, such as parallel coordinate plots (PCPs), can be a significant challenge for students. We adopted the Revised Bloom's taxonomy to instruct students on PCPs using Mastery Learning in the classroom. To evaluate Mastery Learning's impact, we conducted an intervention in a data visualization course to teach students about PCPs with and without Mastery Learning. Based on our intervention, we found that while students in both groups performed similarly on the first two (Remember, Understand) modules, the students in the Mastery Learning group performed better on modules that required more advanced thinking (Analyze, Evaluate) and demonstrated a better comprehension of PCPs. We provide all the materials developed including a new, six-module Bloom's Taxonomy PCP literacy (BTPL) test for full reproducibility on our website at https://vis-graphics.github.io/PCP-Literacy-Test/.

Fields of Study & Subjects

Statistics Education and Methodologies Data Visualization and Analytics Visual and Cognitive Learning Processes

Publication details

Journal / source
IEEE Computer Graphics and Applications
Volume
46
Issue
3
Pages
118–125
Publication date
1 May 2026
Language
EN