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An automated, unobtrusive, formative assessment of creativity in a computer science and music remixing learning environment

Bibliographic Data

ID17813266
AuthorsSeyedahmad Rahimi (0000-0001-9266-758X, corresponding author), Jason Brent Smith (0000-0002-7075-6132), Erin J K Truesdell (0000-0001-8692-4172), Ashvala Vinay (0000-0002-2487-2052), Kristy Elizabeth Boyer (0000-0003-3434-3450), Brian Magerko (0000-0003-1900-4020), Jason Freeman (0000-0003-3827-1060), Tom McKlin
Year2024
Volume20
Issue1
Pages77-94
Publication date2024-05-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychology of Aesthetics Creativity and the Arts (JOURNAL)
Journal identifiersISSN: 1931-3896 • E-ISSN: 1931-390X
PublisherAmerican Psychological Association (PUBLISHER • US)
DOI10.1037/aca0000683
OpenAlexW4396976883
LanguageEN
Citations received2

Art · Creativity · Formative assessment · Human–computer interaction · Mathematics education · Multimedia · Visual arts · Computer Science · Creativity in Education and Neuroscience · Innovative Teaching and Learning Methods · Neuroscience, Education and Cognitive Function · Psychology · Social Psychology

  • Stealth assessments in digital learning environments

    Seyedahmad Rahimi, Valerie J Shute et al.•Journal of Research on Technology…•2026

  • A Rubric-Guided Multimodal Approach Using High-Capacity LLMs Provides Psychometrically Sound Creativity Assessment in Learning Games

    Seyedahmad Rahimi, Hongming Li et al.•Creativity Research Journal•2026

Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae