Mastery Learning Improves Performance on Complex Tasks on PCP Literacy Test
IEEE Computer Graphics and Applications, cilt.46, sa.3, ss.118-125, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 46 Sayı: 3
- Basım Tarihi: 2026
- Doi Numarası: 10.1109/mcg.2026.3671005
- Dergi Adı: IEEE Computer Graphics and Applications
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Compendex, EMBASE, INSPEC, MEDLINE, Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Sayfa Sayıları: ss.118-125
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Çukurova Üniversitesi Adresli: Evet
Özet
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/.