Peter Organisciak

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Associate Professor

University of Denver

United States

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About

Peter Organisciak is an Associate Professor at the University of Denver, USA. His research primarily focuses on library and information science, exploring topics such as visual representation in research methods, sociotechnical conceptual models, and creativity assessment in educational settings. His recent work includes studies on automated scoring of creativity tests and the impact of artificial data on text relationship modeling.

Recent Grants

Grant: Close

Measuring Original Thinking in Elementary Students: A Text-Mining Approach

Open Date: 2020-07-01

Close Date: 2023-06-30

Grant: Close

Text Duplication and Similarity in Massive Digital Collections

Open Date: 2018-01-01

Close Date: 2020-01-01

Articles (17)

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2025

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2022

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2022

Collaborators (7)

Katrina Fenlon

Assistant professor

University of Maryland

UNITED STATES

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Maciej Karwowski

Professor

University of Wrocław

POLAND

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Andrea Thomer

Assistant Professor

University of Arizona

UNITED STATES

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Veslava Osinska

Associate Professor

Nicolaus Copernicus University

POLAND

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Pier-Luc de Chantal

Assistant Professor

Université de Montréal

CANADA

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Matthew Durward

Teaching Assistant

University of Canterbury

NEW ZEALAND

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J. Stephen Downie

University of Illinois at Urbana-Champaign

UNITED STATES

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Peter Organisciak

Research Interests

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About

Recent Grants

Articles (17)

Reversing the alternate uses task

Conceptual models of the sociotechnical: Introduction to special issue

Research methods and the use of visual representation in library and information science research

Measuring original thinking in elementary school: Development and validation of a computational psychometric approach.

Automated Scoring of Figural Tests of Creativity with Computer Vision

Performance and Perception of Creativity and Academic Achievement in Elementary School Students: A Normal Mixture Modeling Study

Automated feedback and creativity: On the role of metacognitive monitoring in divergent thinking.

Beyond Semantic Distance: Automated Scoring of Divergent Thinking Greatly Improves with Large Language Models

What Makes Children's Responses to Creativity Assessments Difficult to Judge Reliably?

Approximate nearest neighbor for long document relationship labeling in digital libraries

How do the kids speak? Improving educational use of text mining with child-directed language models

Measuring flexibility: A text-mining approach

Applying Automated Originality Scoring to the Verbal Form of Torrance Tests of Creative Thinking

Lost in translation? Not for Large Language Models: Automated divergent thinking scoring performance translates to non-English contexts

Defensive Driving: CAR:POOL as a Model for Proactive Postsecondary Planning and Connection

Improving text relationship modelling with artificial data

Giving shape to large digital libraries through exploratory data analysis

Collaborators (7)

Katrina Fenlon

Maciej Karwowski

Andrea Thomer

Veslava Osinska

Pier-Luc de Chantal

Matthew Durward

J. Stephen Downie

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