Creativity, according to Edith Ackermann (2009), can be divided into three different kinds:
2 Feldman's model
Creativity is a more complex issue. It sometimes has been linked to "Optimal experience" which enhances productivity but does not necessarily entail creativity. According to Feldman (1994), creativity should be studied and therefore facilitated by the teacher at three different levels:
- the social field,
- the domain (symbol systems of knowledge) and
- the individual.
The table below inspired by Feldman (1994) lists some important variables that could be beneficial for creativity.
Level of analysis
Some important variables that correlate with creativity
Symbolic environment (domain
Social environment ("field")
3 The creative process
According to Ackermann (2009:6), the creative process is at once iterative and convergent. Creators move through five phases, that have been defined as: as:
Ackermann (2009:7) further argues that aystems have been proven to be essential for creativity, since they channel creativity into ideas or artifacs in a way that they can be understood and valued by ourselves as well as others. In addition, they channel creativity into specific problems (e.g. an engineering puzzle). The idea that systems “allow us to build knowledge, as well as express it, become crucial not only for learning, but also for creativity” is a clearly constructionist stance.
4 Creativity in a Vygotsky perspective
- By Alain Senteni, University of Mauritius
The role of creativity in human activity has been discussed by Thikomirov (1999) who encourages a differentiation between routine and creative activity. Thikomirov proposes a "theory of creative activity", emphasizing the functions of construction, generation and creation, as opposed to comparison, reproduction, assimilation and copying, at the root of any routine activity. While motives, goals and operations form part of all kinds of activity, creative activity generates new goals, new motives and new operations, that is functional development in the course of the realization of the activity. Generation of new goals in the subject's activity is central in his theory that defines "the image of the future results indirectly connected with the motive" (Thikomirov, 1999, p. 351)
The theory of creative activity developed by Thikomirov relies on Vygotsky's work on the development and use of creativity, focusing directly on the development of creative ability. This work is summarized by Smolucha (1992) who asserts that creative imagination is a goal-directed, culturally mediated psychological system that emerges from the internalization of children's play and the functional interweaving of fantasy and thinking in concepts. The importance given to creative ability is increasing with the emergence of knowledge communities and societies, whose new way of looking at value creation depends on their ability to create wealth by fostering innovation, creativity and entrepreneurship. Answers to these challenges for developing leadership, communication, innovation and collaboration are not found in the cartesian rational, logical, and scientific :
Although human activity is creative by nature, its ability to exceed and transcend given constraints and instructions is not encouraged in traditional teaching and learning systems. The difficulties encountered by schools and other social institutions for effectively educating and training people for an ambiguous future, are particularly visible in developing countries (e.g. Mauritius) where spoon-feeding teaching principles, often inherited from colonial times, aim rather at preparing children for obedience, routine work and harsh competition, than for collaborative and creative work.
5 Creativity in instructional design
Creativity is a very complex issue and its relation to flow is not obvious. « Optimal experience » has been described by gamers or programmers and it enhances without doubt productivity, but does not necessarily entail creativity. According to Feldman, Csikszentmihalyi and Gardner (1994), creativity should be studied and therefore facilitated by the teacher at three different levels : (1) the social field, e.g. a network of people who provide cognitive and affective support, instruction, evaluation, recognition, etc. ; (2) the domain (symbol systems of knowledge) ; and (3) the individual, i.e. intellectual traits, personal traits and cognitive structures. It is clear that education cannot influence all variables, but pedagogical design certainly can have a positive influence on individual dispositions that already exist. It can act upon conditions, i.e. on educational tasks and the general learning environment like the « class spirit » with the help of specially designed technology that we will introduce later on. By exposing students to open-ended, challenging, authentic and partly self-defined projects on one hand and by providing scaffolding and support on the other hand, the teacher does create situations where individual traits can be exposed and developed.
See also Creative learning assessment.
6 Measuring creativity support - instruments
6.1 The Creativity Support Index (CSI)
The CSI is similar to the NASA Task Load Index Survey but is designed specifically for evaluating creativity support tools, based on concepts and theories from creativity research. (Caroll & Latulipe, 2009)
This index is based on two parts: A short questionnaire measuring several creativity dimensions In a second part, “each factor will be compared against the other five, to assess the relative importance of these factors to the participant for the particular activity under study” (Caroll & Latulipe, 2009: 4013)
“To calculate the creativity support index, multiply each factor ranking from the first part of the survey (which is out of 20) by the count for that factor in the second part the survey and sum these together. Then, divide that sum by 3 to arrive at an index out of 100.” (Caroll & Latulipe, 2009: 4014)
(to be expanded ...)
Torrance Tests of Creative Thinking (Torrance) (TTCT)
- Handout, Creativity Test: Torrance Tests of Creative Thinking (1962) by Gayle Dow, Indiana University.
Creative Behavior Inventory (CBI)
Guilford’s Alternative Uses Task (1967)
- Handout Creativity Test: Guilford’s Alternative Uses Task (1967) by Gayle Dow, Indiana University
- Sir Ken Robinson: Do schools kill creativity?. A Video from a TED (Technology, Entertainment, Design) conference with some thoughts about the school system - See also the discussion, some raise the problem whether one should force children to learn and that in turn allows them to be creative.
- Creativity Games A website with weekly games, articles and challenges designed to stimulate creative thinking. The games are based on random words and are easy to modify to suit a variety of class activities. The site also includes a random word generator so you can generate your own sets of words for use in your activities.
- Creativity Tests: Overview page by Gayle Dow
- Creativity Resources College of Education • The University of Georgia. Last checked 18:35, 29 May 2012 (CEST)
- Measuring Creativity: the book (PDF chapters of the "Can creativity be measured?" conference organized by the EC, Brussels, May 28-29,).
- Creative confidence, Home page with excerpts for the book of the same name by IDEO founder and Stanford d.school creator David Kelley and his brother Tom Kelley, IDEO. (2013)
- Ackermann Edith; David Gauntlett and Cecilia Weckstrom (2009). Defining Systematic Creativity, LEGO Learning Institute, Summary, PDF download
- Carroll, Erin A. and Celine Latulipe. 2009. The creativity support index. In Proceedings of the 27th international conference extended abstracts on Human factors in computing systems (CHI EA '09). ACM, New York, NY, USA, 4009-4014. DOI=10.1145/1520340.1520609 http://doi.acm.org/10.1145/1520340.1520609
- Carroll, E. A., Latulipe, C., Fung, R., and Terry, M. Creativity factor evaluation: Towards a standardized survey metric for creativity support. In Proceedings of ACM Creativity & Cognition (2009).
- Carroll, Erin A. and Celine Latulipe. 2011. Capturing 'in the moment' creativity through data triangulation. In Proceedings of the 8th ACM conference on Creativity and cognition (C&C '11). ACM, New York, NY, USA, 321-322. DOI=10.1145/2069618.2069677 http://doi.acm.org/10.1145/2069618.2069677
- Carroll, Erin A. 2011. Convergence of self-report and physiological responses for evaluating creativity support tools. In Proceedings of the 8th ACM conference on Creativity and cognition (C&C '11). ACM, New York, NY, USA, 455-456. DOI=10.1145/2069618.2069748 http://doi.acm.org/10.1145/2069618.2069748
- Engeström, Y. (1999) Innovative learning in work teams: Analyzing cycles of knowledge creation in practice. In Y. Engeström, R. Miettinen & R.-L-. Punamäki (Eds.), Perspectives on activity theory, (pp. 377-404). Cambridge: Cambridge University Press.
- Feldman, D.H., Csikszentmihalyi, M. Gardner, H., (1994) Changing the world, A Framework for the Study of Creativity, Westport: Praeger
- Hocevar, D. Measurement of creativity: Review and critique. (1981). Journal of Personality Assessment 45, 5, 450-463.
- John-Steiner, V. (1985) Notebooks of the mind : Exploration of thinking, NY : Harper & Row
- John-Steiner, V. & Moran, S. (2002). Creativity in the making. Creativity and Development Counterpoint Series., Oxford University Press. PDF Preprint
- Martindale, C. Handbook of Creativity. Cambridge University Press, 1999, ch. Biological Bases of Creativity.
- Seng, T. O. (2000). Thinking skills, creativity, and problem-based learning. In T. Oon Seng, P. Little, H. Soo Yin, & J. Conway (Eds.), Problem-based learning: Education innovation across disciplines (pp. 47–55). Singapore: Temasek Centre for Problem-Based Learning.
- Shneiderman, Ben ; Gerhard Fischer, Mary Czerwinski, Mitch Resnick, Brad Myers, Linda Candy, Ernest Edmonds, Mike Eisenberg, Elisa Giaccardi, Tom Hewett, Pamela Jennings, Bill Kules, Kumiyo Nakakoji, Jay Nunamaker, Randy Pausch, Ted Selker, Elisabeth Sylvan & Michael Terry (2006). Creativity Support Tools: Report From a U.S. National Science Foundation Sponsored Workshop, International Journal of Human-Computer Interaction, Volume 20, Issue 2, 2006. Free PDF preprint.
- Smolucha, F. (1992). A reconstruction of Vygotsky's theory of creativity. Creativity Research Journal 5 (1), 49-67.
- Thikomirov, O.K. (1999) Theory of activity and information technology. In Y. Engeström, R. Miettinen & R.-L-. Punamäki (Eds.), Perspectives on activity theory, (pp. 377-404). Cambridge: Cambridge University Press.
- Torrance, E.P. Torrance Tests of Creative Thinking: Directions Manual: Figural A and B . Scholastic Testing Service, 1990.
- Torrance, E.P., Ball, O.E. and Safter, H.T. Torrance Tests of Creative Thinking: Streamlined Scoring Guide: Figural A and B. Scholastic Testing Service, 1992.
- Zabramski, Stanislaw and Sarathkumar Neelakannan. 2011. Paper equals screen: a comparison of a pen-based figural creativity test in computerized and paper form. In Procedings of the Second Conference on Creativity and Innovation in Design (DESIRE '11). ACM, New York, NY, USA, 47-50. DOI=10.1145/2079216.2079222 http://doi.acm.org/10.1145/2079216.2079222