TY - JOUR
T1 - A conceptual graph-based model of creativity in learning
AU - Paaßen, Benjamin
AU - Dehne, Julian
AU - Krishnaraja, Swathi
AU - Kovalkov, Anastasia
AU - Gal, Kobi
AU - Pinkwart, Niels
N1 - Publisher Copyright:
Copyright © 2022 Paaßen, Dehne, Krishnaraja, Kovalkov, Gal and Pinkwart.
PY - 2022/11/7
Y1 - 2022/11/7
N2 - Teaching creativity is one of the key goals of modern education. Yet, promoting creativity in teaching remains challenging, not least because creative achievement is contingent on multiple factors, such as prior knowledge, the classroom environment, the instruction given, and the affective state of the student. Understanding these factors and their interactions is crucial for successfully integrating creativity in teaching. However, keeping track of all factors and interactions on an individual student level may well exceed the capacity of human teachers. Artificial intelligence techniques may thus prove helpful and necessary to support creativity in teaching. This paper provides a review of the existing literature on creativity. More importantly, the review is distilled into a novel, graph-based model of creativity with three target audiences: Educators, to gain a concise overview of the research and theory of creativity; educational researchers, to use the interactions predicted by theory to guide experimental design; and artificial intelligence researchers, who may use parts of the model as a starting point for tools which measure and facilitate creativity.
AB - Teaching creativity is one of the key goals of modern education. Yet, promoting creativity in teaching remains challenging, not least because creative achievement is contingent on multiple factors, such as prior knowledge, the classroom environment, the instruction given, and the affective state of the student. Understanding these factors and their interactions is crucial for successfully integrating creativity in teaching. However, keeping track of all factors and interactions on an individual student level may well exceed the capacity of human teachers. Artificial intelligence techniques may thus prove helpful and necessary to support creativity in teaching. This paper provides a review of the existing literature on creativity. More importantly, the review is distilled into a novel, graph-based model of creativity with three target audiences: Educators, to gain a concise overview of the research and theory of creativity; educational researchers, to use the interactions predicted by theory to guide experimental design; and artificial intelligence researchers, who may use parts of the model as a starting point for tools which measure and facilitate creativity.
KW - 4P model
KW - artificial intelligence in education
KW - creativity
KW - graph-based model
KW - literature review
UR - http://www.scopus.com/inward/record.url?scp=85142215930&partnerID=8YFLogxK
U2 - 10.3389/feduc.2022.1033682
DO - 10.3389/feduc.2022.1033682
M3 - Review article
AN - SCOPUS:85142215930
SN - 2504-284X
VL - 7
JO - Frontiers in Education
JF - Frontiers in Education
M1 - 1033682
ER -