Cited by 62Online Learning and AnalyticsBusiness Process Modeling and AnalysisIntelligent Tutoring Systems and Adaptive Learning

Process-mining enabled feedback: “tell me what I did wrong” vs. “tell me how to do it right”

Open access
Sedrakyan, Gayane, De Weerdt, Jochen, Snoeck, Monique·2016·Computers in Human Behavior

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Crossref · 10.1016/j.chb.2015.12.040

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Research works printed but not linked: 2

  1. Carbone, M., & Santucci, G. (2002). Fast&&Serious: a UML based metric for effort estimation. Paper presented at the Proceedings of the 6th ECOOP workshop on quantitative approaches in object-oriented software engineering (QAOOSE'02).
  2. Cruz-Lemus, J. A., Genero, M., Morasca, S., & Piattini, M. (2007). Using practitioners for assessing the understandability of UML statechart diagrams with composite states Advances in Conceptual Modeling-Foundations and Applications (pp. 213-222): Springer.

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Authors
Sedrakyan, G., De Weerdt, J., & Snoeck, M.
Affiliations
KU Leuven (BE)
Corresponding author
Sedrakyan, Gayane
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2016-04
Volume
57
Pages
352-376
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2216293510
Cited by
62
References
66
Citations by year
2026: 2 · 2025: 5 · 2024: 6 · 2023: 10 · 2022: 6 · 2021: 4 · 2020: 3 · 2019: 10 · 2018: 5 · 2017: 6 · 2016: 4 · 2015: 1
FWCI
8.03
Type
journal article
Language
en
Open access
Locations
  • Computers in Human Behavior (publishedVersion)
  • Lirias (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
process mining, feedback, domain modeling, novice learners, problem solving, model validation, virtual learning environments, process-oriented feedback, outcome feedback, teaching guidance, replication study

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