Abstract
The goal of this study was twofold: to examine how undergraduate students’ perceive themselves as innovative thinkers and to examine the way they express innovative ideas when asked to illustrate the ideal learning environment. The research was conducted among undergraduate students in two higher education institutes (N = 202). The ‘mixed methods research’ model was employed in the analysis and interpretation of data that was collected by two research tools: the Innovative Thinking survey and the Reflective Drawings analysis. Findings indicated that most students perceived their innovative thinking as average. Two groups of students expressed the highest inclination to be innovative: young students and experts in ICTs, suggesting that innovative thinkers are most likely to become experts in the use of advanced technologies. The analysis of students’ drawings of the ‘ideal learning environment’, indicated that only few illustrated innovative scenarios. Findings showed that although most of the students made a shift from desktops to mobile computers, their drawings did not reflect the added value of ubiquity learning. This finding indicates that most of the students still adhere to traditional learning environments, and are not able to imagine learning in any other way.
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References
Griffin P, McGaw B, Care E (eds) (2012) Assessment and teaching of 21st century skills. Springer, Dordrecht
Davies A, Fidler D, Gorbis M (2011) Future work skills 2020. Institute for the Future for the University of Phoenix Research Institute. http://www.iftf.org/futureworkskills2020. Accessed 9 March 2013
Sianesi B, Van Reenen J (2002) The returns to education: a review of the empirical macro-economic literature. Institute for Fiscal Studies, London. http://www.ifs.org.uk/wps/wp0205.pdf. Accessed April 2013
Dyer JH, Gregersen HB, Christnesen CM (2008) Entrepreneur behaviors, opportunity, recognition, and the origins of innovative ventures. Strateg Entrepreneurship J 2:317–338
Dyer JH, Gregersen HB, Christensen CM (2011) The innovator’s DNA: mastering the five skills of disruptive innovators. Harvard Business Review Press, Boston
David JL (1994) Realizing the promise of technology: a policy perspective. In: Means B (ed) Technology and education reform. Jossey-Bass, San Francisco, pp 169–190
Linn MC (1998) Learning and instruction in science education: taking advantage of technology. In: Tobin D, Frazer B (eds) International handbook of science education. Kluwe, Dordrecht
Barak M, Dori YJ (2005) Enhancing undergraduate students’ chemistry understanding through project-based learning in an IT environment. Sci Educ 89(1):117–139
Barak M, Rafaeli S (2004) Online question-posing and peer-assessment as means for web-based knowledge sharing. Int J Hum Comput Stud 61(1):84–103
Berenfeld B, Yazijian H (2010) Global lab: harnessing the cloud and social networking for K-12 science learning since 1991. In: Gibson D, Dodge B (eds). In: Proceedings of society for information technology and teacher education international conference, AACE, Chesapeake, pp 3544–3547
Barak M, Dori YJ (2009) Enhancing higher order thinking skills among in-service science education teachers via embedded assessment. J Sci Teachers Educ 20:459–474
M Barak (2013) Closing the gap between attitudes and perceptions about ICT-enhanced learning among pre-service STEM teachers. J Sci Educ Technol (Online first)
Jimoyiannis A (2010) Designing and implementing an integrated technological pedagogical science knowledge framework for science teachers professional development. Comput Educ 55:1259–1269
Romeo G, Lloyd M, Downes T (2012) Teaching teachers for the future (TTF): building the ICT in education capacity of the next generation of teachers in Australia. Aust J Educ Technol 28:949–964
Dede C (2005) Planning for ‘Neomillennial’ learning styles: implications for investments in technology and faculty. In: Oblinger DG, Oblinger JL (eds) Educating the net generation, Educause (Chapter 15, pp. 1–22). http://net.educause.edu/ir/library/pdf/pub7101o.pdf. Accessed April 2013
Wessels PL, Steenkamp LP (2009) Generation Y students: appropriate learning styles and teaching approaches in the economic and management sciences faculty. S Afr J Higher Educ 23:1039–1058
Dewey J (1938) Experience and education. Collier MacMillan, New York, p 1963 (Original work published)
Paiget J (1970) The science of education and the psychology of the child. Grossman, New York
Vygotsky LS (1978) Mind in society: the development of higher psychological processes. Harvard University Press, Cambridge
Bruner JT (1993) Schools for thought. MIT Press, Cambridge
W Hayes. Progressive education movement: is it still a factor in today’s schools: Rowman Littlefield Education, Lanham, 2007
Darling-Hammond L, Austin K, Orcutt SR, Rosso J (2001) How people learn: introduction to learning theories. In The learning classroom: theory into practice. Stanford University Press, Stanford. http://www.stanford.edu/class/ed269/hplintrochapter.pdf. Accessed April 2013
Orland-Barak L, Klein S (2005) The expressed and the realized: mentors’ conversation and its realization in practice. Teach Teach Educ 21:379–402
Katz P, McGinnis JR, Hestness E, Riedinger K, Marbach‐Ad G, Dai A, Pease R (2011) Professional identity development of teacher candidates participating in an informal science education internship: a focus on drawings as evidence. Int J Sci Educ 33:1169–1197
Hammer EF (1980) The clinical application of projective drawings. Charles C. Thomas, Springfield
Weber SJ, Mitchell C (1996) Drawing ourselves into teaching: studying the images that shape and distort teacher education. Teach Teach Educ 12:303–313
Nossiter V, Biberman G (1990) Projective drawings and metaphore: analysis of organizational culture. J Manag Psychol 5:13–16
Johnston RB, Onwuegbuzie AJ (2004) Mixed methods research: a research paradigm whose time has come. Educ Res 33:14–26
Nelder J, Wedderburn R (1972) Generalized linear models. J Royal Stat Soc Ser A 135:370–384
Rahmawati F, Hasyyati A, Yusran H (2012) The obstacles to be Young Entrepreneur. In: Proceedings of the international conference on business and management, Phuket, Thailand, 2012
Barrett E, Lally V (1999) Gender differences in an on-line learning environment. J Comput Assist Learn 15:48–60
Belenky MF, Clinchy BM, Goldberger NR, Tarule JM (1986) Women’s ways of knowing: the development of self, voice, and mind. Basic Books, New York
Midoro V (ed) (2005) European teachers towards the knowledge society. Menabò, Cortona
Oppenheimer T (2003) The flickering mind: the false promise of technology in the classroom and how learning can be saved. Random House, New York
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Barak, M., Morad, S., Ragonis, N. (2014). Students’ Innovative Thinking and Their Perceptions About the Ideal Learning Environment. In: Uden, L., Wang, L., Corchado Rodríguez, J., Yang, HC., Ting, IH. (eds) The 8th International Conference on Knowledge Management in Organizations. Springer Proceedings in Complexity. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7287-8_10
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