Improving the creativity in introductory engineering course applying fuzzy network process: a pilot study

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Date

2011

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Elsevier Science Bv

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

In Engineering Design course, students' background, knowledge and skills should be considered to stimulate the creativity. Thus, the Analytic Network Process (ANP) has been used in deciding the factor that ignites creativity. However, there is uncertainty and vagueness existing in the judgment of students' need and expectations. Fuzzy ANP approach is used to determine a way in improving the creativity of the students in introductory engineering course. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. The findings will help the instructor to improve and modify the delivery of the course to meet the course objectives. (C) 2011 Published by Elsevier Ltd.

Description

Erdebilli, Babek/0000-0001-8860-3903

Keywords

Analytic Hierarchy Process (AHP), Fuzzy AHP, Creativity, Multi-Criteria Decision-Making (MCDM)

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Citation

3

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Source

World Conference on Educational Technology Researches (WCETR) -- JUL 05-09, 2011 -- East Univ, Nicosia, CYPRUS

Volume

28

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URI

https://doi.org/10.1016/j.sbspro.2011.11.028
 https://hdl.handle.net/20.500.14411/1601

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