TY - GEN
T1 - FISCMAP
T2 - 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2016
AU - Dias, Sofia B.
AU - Dolianiti, Foteini S.
AU - Hadjileontiadou, Sofia J.
AU - Diniz, José A.
AU - Hadjileontiadis, Leontios J.
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - This study introduces a new model, namely FISCMAP, that explores the fuzzy logic constructs within a computer-based concept mapping environment, involving modeling techniques as vehicles to improve the intelligence of an online learning environment. From this perspective, eight CmapTool measurements are considered to form inputs to a five-level fuzzy inference system equipped with 115 expert's fuzzy rules. The CmapTool data were drawn from a b-learning environment related to a Master's course offered by a Higher Education Institution, involving 20 Master's students. Experimental results have shown that the use of the proposed FISCMAP scheme for the evaluation of user's Quality of Concept Map (QoCM), by considering constructive CM variables (metrics), can increase the accuracy and validity of the intelligent system under consideration.
AB - This study introduces a new model, namely FISCMAP, that explores the fuzzy logic constructs within a computer-based concept mapping environment, involving modeling techniques as vehicles to improve the intelligence of an online learning environment. From this perspective, eight CmapTool measurements are considered to form inputs to a five-level fuzzy inference system equipped with 115 expert's fuzzy rules. The CmapTool data were drawn from a b-learning environment related to a Master's course offered by a Higher Education Institution, involving 20 Master's students. Experimental results have shown that the use of the proposed FISCMAP scheme for the evaluation of user's Quality of Concept Map (QoCM), by considering constructive CM variables (metrics), can increase the accuracy and validity of the intelligent system under consideration.
KW - B-learning
KW - CmapTool
KW - Computer-based concept mapping
KW - Fuzzy logic
KW - Quality of concept map
KW - Reflective feedback
UR - http://www.scopus.com/inward/record.url?scp=85018315245&partnerID=8YFLogxK
U2 - 10.1145/3019943.3019986
DO - 10.1145/3019943.3019986
M3 - Conference contribution
AN - SCOPUS:85018315245
T3 - ACM International Conference Proceeding Series
SP - 293
EP - 300
BT - DSAI 2016 - Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion
Y2 - 1 December 2016 through 3 December 2016
ER -