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FISCMAP: A fuzzy logic-based quality of concept mapping modelling approach fostering reflective feedback

Published: 01 December 2016 Publication History

Abstract

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.

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Cited By

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  • (2020)On modeling the quality of concept mapping toward more intelligent online learning feedback: a fuzzy logic-based approachUniversal Access in the Information Society10.1007/s10209-019-00656-z19:3(485-498)Online publication date: 1-Aug-2020
  • (2018)Exploring the Potential of Computer-Based Concept Mapping Under Self-and Collaborative Mode Within Emerging Learning EnvironmentsResearch on e-Learning and ICT in Education10.1007/978-3-319-95059-4_6(101-122)Online publication date: 5-Oct-2018
  • (2017)Computer-based concept mapping combined with learning management system useComputers & Education10.1016/j.compedu.2017.01.009107:C(127-146)Online publication date: 1-Apr-2017

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Published In

cover image ACM Other conferences
DSAI '16: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
December 2016
440 pages
ISBN:9781450347488
DOI:10.1145/3019943
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2016

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Author Tags

  1. B-learning
  2. CmapTool
  3. Computer-based Concept Mapping
  4. Fuzzy logic
  5. Quality of Concept Map
  6. Reflective feedback

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  • Refereed limited

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DSAI 2016

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Overall Acceptance Rate 17 of 23 submissions, 74%

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Cited By

View all
  • (2020)On modeling the quality of concept mapping toward more intelligent online learning feedback: a fuzzy logic-based approachUniversal Access in the Information Society10.1007/s10209-019-00656-z19:3(485-498)Online publication date: 1-Aug-2020
  • (2018)Exploring the Potential of Computer-Based Concept Mapping Under Self-and Collaborative Mode Within Emerging Learning EnvironmentsResearch on e-Learning and ICT in Education10.1007/978-3-319-95059-4_6(101-122)Online publication date: 5-Oct-2018
  • (2017)Computer-based concept mapping combined with learning management system useComputers & Education10.1016/j.compedu.2017.01.009107:C(127-146)Online publication date: 1-Apr-2017

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