TY - JOUR
T1 - Professional learning
T2 - A fuzzy logic-based modelling approach
AU - Gravani, Maria N.
AU - Hadjileontiadou, Sofia J.
AU - Nikolaidou, Georgia N.
AU - Hadjileontiadis, Leontios J.
N1 - Funding Information:
The author M.N. Gravani would like to acknowledge the Greek State Scholarships Foundation (I.K.Y.) for its financial support (Award No. 8107381017) and the Economic and Social Research Council (ESRC) of Great Britain for the Current Post-Doctoral Fellowship (Award No. PTA-026-27-00886).
PY - 2007/4
Y1 - 2007/4
N2 - 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.
AB - 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.
KW - Fuzzy logic-based modelling
KW - Professional learning
KW - Quantitative analysis
UR - http://www.scopus.com/inward/record.url?scp=34047130672&partnerID=8YFLogxK
U2 - 10.1016/j.learninstruc.2007.01.007
DO - 10.1016/j.learninstruc.2007.01.007
M3 - Article
AN - SCOPUS:34047130672
SN - 0959-4752
VL - 17
SP - 235
EP - 252
JO - Learning and Instruction
JF - Learning and Instruction
IS - 2
ER -