Modeling Creativity in Visual Programming: From Theory to Practice [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (14th, Online, Jun 29-Jul 2, 2021).

Autor/inn/en	Kovalkov, Anastasia; Paassen, Benjamin; Segal, Avi; Gal, Kobi; Pinkwart, Niels
Titel	Modeling Creativity in Visual Programming: From Theory to Practice [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (14th, Online, Jun 29-Jul 2, 2021).
Quelle	(2021), (7 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Creativity; Theory Practice Relationship; Evaluators; Specialists; Artificial Intelligence; Prediction; Computer Software; Evaluation Methods; Educational Technology; Teaching Methods; Creative Thinking; Creativity Tests; Cross Cultural Studies; Foreign Countries; Scores; Interrater Reliability; Elementary Secondary Education; Student Projects; Student Evaluation; Vietnam; Cuba; India; Israel; Torrance Tests of Creative Thinking + Suchen Sie Ihr Suchwort? Kreativität; Theorie-Praxis-Beziehung; Künstliche Intelligenz; Vorhersage; Unterrichtsmedien; Teaching method; Lehrmethode; Unterrichtsmethode; Kreatives Denken; Creativity test; Kreativitätstest; Cultural comparison; Kulturvergleich; Ausland; Interrater-Reliabilität; Schulprojekt; Schulnote; Studentische Bewertung; Kuba; Indien
Abstract	Promoting creativity is considered an important goal of education, but creativity is notoriously hard to define and measure. In this paper, we make the journey from defining a formal creativity and applying the measure in a practical domain. The measure relies on core theoretical concepts in creativity theory, namely fluency, flexibility, and originality, We adapt the creativity measure for Scratch projects. We designed a machine learning model for predicting the creativity of Scratch projects, trained and evaluated on ratings collected from expert human raters. Our results show that the automatic creativity ratings achieved by the model aligned with the rankings of the projects of the expert raters more than the experts agreed with each other. This is a first step in providing computational models for describing creativity that can be applied to educational technologies, and to scale up the benefit of creativity education in schools. [For the full proceedings, see ED615472.] (As Provided).
Anmerkungen	International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01