@inproceedings{dba2c71cc859444b8e4953454198bb7d,
title = "Detecting creativity in an open ended geometry environment",
abstract = "Creativity is a dynamic process which generates ideas that are both novel and of value. However there is little understanding in what drives creativity in students and how to help teachers or education experts to detect creative thinking. This paper begins to address this gap by providing a platform and experiments for studying how creative outcomes can ensue over time. The platform is an open ended environment for creating geometrical shapes that supports exploration and trial and error. We show that participants exhibit diversity in their usage patterns in the system, and in particular, some exhibiting 'creative leaps' in which they move from creating a sequence of shapes in one category to another, new category. We designed a visualization tool that aids understanding in detecting these aspects in students' work. We provide a basic computational model that is able to predict whether a student will create a new shape at a given point in time. The impact of this work is in beginning to provide tools for promoting creativity in students and directing their interactions in a way that facilitates the creative process.",
keywords = "Creativity, Divergent thinking, Geogebra, Geometry",
author = "Roi Shillo and Nicholas Hoernle and Kobi Gal",
note = "Publisher Copyright: {\textcopyright} EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining. All rights reserved.; 12th International Conference on Educational Data Mining, EDM 2019 ; Conference date: 02-07-2019 Through 05-07-2019",
year = "2019",
month = jan,
day = "1",
language = "English",
series = "EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining",
publisher = "International Educational Data Mining Society",
pages = "408--413",
editor = "Lynch, {Collin F.} and Agathe Merceron and Michel Desmarais and Roger Nkambou",
booktitle = "EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining",
address = "United States",
}