Professional learning: A fuzzy logic-based modelling approach

Maria N. Gravani, Sofia J. Hadjileontiadou, Georgia N. Nikolaidou, Leontios J. Hadjileontiadis

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Studies have suggested that professional learning is influenced by two key parameters, i.e., climate and planning, and their associated variables (mutual respect, collaboration, mutual trust, supportiveness, openness). In this paper, we applied analysis of the relationships between the proposed quantitative, fuzzy logic-based model and a series of representative data of such variables (drawn from an in-service training programme in Greece) that were confronted to it. Through this research strategy we found that the proposed modelling managed to reveal statistically significant different trends in professional learning in concordance with an earlier qualitative approach, yet, quantitatively. Moreover, it highlights the advantages of the fuzzy logic approach towards capturing the information that is inherent in real, complicated data and gives rise to further heuristic ideas and research directions concerning professional learning.

Original languageBritish English
Pages (from-to)235-252
Number of pages18
JournalLearning and Instruction
Issue number2
StatePublished - Apr 2007


  • Fuzzy logic-based modelling
  • Professional learning
  • Quantitative analysis


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