Misconception Detection in Data is a methodological framework within data interpretation assessment that identifies and diagnoses systematic errors in understanding or reasoning from data by distinguishing incorrect cognitive patterns from normative analytical behaviors.
15
Publications
946
Citations
38
Authors
16
Institutions
Publications per year
2017–2026
4
Publications
15
1–5 of 15
Authors
38
- KKKikumi K. Tatsuoka
University of Illinois Urbana-Champaign, United States
2 publications · 291 citations
2
h-index
- SM
1
h-index
- HSHasan Saleem
Southern University and Agricultural and Mechanical College, United States
1 publications · 322 citations
1
h-index
- WW
1
h-index
- BÇ
1
h-index
1–5 of 38
Institutions
16
Indonesia University of Education
Bandung, Indonesia
1 h-index
7 publications
140 citations
North Carolina State University
Raleigh, United States
1 h-index
6 publications
114 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
2 publications
32 citations
McGill University
Montreal, Canada
1 h-index
2 publications
20 citations
Hong Kong Metropolitan University
Hong Kong, Hong Kong
1 h-index
1 publications
16 citations
University of Utah
Salt Lake City, United States
1 h-index
1 publications
10 citations
Instituto de Arqueología-Mérida
Mérida, Spain
1 h-index
1 publications
11 citations
Atatürk University
Erzurum, Türkiye
1 h-index
1 publications
12 citations
1–8 of 16
Venues
- Journal of Educational Statistics
2 publications · 291 citations
2
h-index
- ACM Inroads
1 publications · 16 citations
1
h-index
- Choice Reviews Online
CRO · 1 publications · 23 citations
1
h-index
- Applied Measurement in Education
1 publications · 33 citations
1
h-index
- Cypriot Journal of Educational Sciences
CJES · 1 publications · 20 citations
1
h-index
1–5