Educational Research and Reviews

  • Abbreviation: Educ. Res. Rev.
  • Language: English
  • ISSN: 1990-3839
  • DOI: 10.5897/ERR
  • Start Year: 2006
  • Published Articles: 2006

Full Length Research Paper

A CFBPN artificial neural network model for educational qualitative data analyses: Example of students’ attitudes based on Kellerts’ typologies

Nurettin Yorek*
  • Nurettin Yorek*
  • Faculty of Education, Dokuz Eylul University, Izmir, Turkey.
  • Google Scholar
Ilker Ugulu
  • Ilker Ugulu
  • Faculty of Education, Dokuz Eylul University, Izmir, Turkey.
  • Google Scholar

  •  Received: 28 June 2015
  •  Accepted: 16 September 2015
  •  Published: 23 September 2015


Bogdan R, Biklen SK (2006). Qualitative Research for Education: An Introduction to Theories and Methods (5th Ed.). Pearson, New York
Cybenko GV (1989). Approximation by superpositions of a sigmoidal function. Math. Control Signal 2:303–314.
Fausett L (1994). Fundamentals of Neural Networks. Prentice-Hall, New Jersey.
Filik UB, Kurban M (2007). A new approach for the short-term load forecasting with autoregressive and artificial neural network models, Int. J. Comput. Int. Res. 3:66–71.
Gallant S (1993). Neural Network Learning and Expert systems, MIT Press, Cambridge.
Guney K (1997). An introduction to neural networks. UCL Press, London.
Hagan M, Menhaj M (1994). Training feed forward networks with the marquardt algorithm. In Proceedings of IEEE Transactions on Neural Networks. 6:989.
Hagan MT, Demuth HB, Beale M (1996). Neural network design. PWS Pub., Boston
Hsu T (2005). Research methods and data analysis procedures used by educational researchers. Int. J. Res. Met. Educ. 28:109-133.
Kellert SR (1991). Japanese perceptions of wildlife. Conserv. Biol. 5:297-308.
Kellert SR (1993a). The biological basis for human values of nature. In: Kellert SR, Wilson EO (eds) The biophilia hypothesis. pp. 42–69. Island Press, Washington DC
Kellert SR (1993b) Attitudes, knowledge, and behavior toward wildlife among the industrial superpowers: United States, Japan, and Germany. J. Soc. Issues 49:53-69.
Kellert SR (1996). The value of life: biological diversity and human society. Island Press, Washington DC
Lawrence S et al. (1997) Lessons in neural network training: Training may be harder than expected, In Proceedings of National Conference on Artificial Intelligence, AAAI-97, pp.540–545, Menlo Park, California
Levenberg K (1944). A method for the solution of certain nonlinear problems in least squares, Quart. Appl. Math. 2:164-168.
Narli S, Yorek N, Sahin M Usak M (2010). Can we make definite categorization of student attitudes? A rough set approach to investigate students' implicit attitudinal typologies toward living things, J. Sci. Educ. Tech. 19:456-469.
Rumelhart D (1986). Learning representations by backpropagation errors. Nature 323:533–536.
Rumelhart D, McClelland J (1986). Parallel Distributed Processing. MIT Press, Cambridge
Sagiroglu S et al. (2003). Muhendislikte Yapay Zeka Uygulamalari-I: Yapay Sinir Aglari (in Turkish), Ufuk Yayincilik.
Thompson TL, Mintzes JJ (2002). Cognitive structure and the affective domain: On knowing and feeling in biology. Int. J. Sci. Educ. 24:645-660.
Yao X (1999). Evolving artificial neural networks. In Proceeedings of the IEEE, 87:1423–1447.
Yorek N, Narli S (2009). Modeling of cognitive structure of uncertain scientific concepts using fuzzy-rough sets and intuitionistic fuzzy sets: Example of the life concept, Int. J. Uncertain. fuzz. 17:747-769.