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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 2 Issue 7 pp. 2361-2366 , 2012

A new method for university instructor assessment Pages 2361-2366 Right click to download the paper Download PDF

Authors: Khashayar Sheykhi, Mehdi Hosseinpour, Saeed Esmaeeli, Mohammad Reza Abbasi

DOI: 10.5267/j.msl.2012.08.006

Keywords: Assessment, Self assessment, University professor assessment, University ranking

Abstract: Preparing enterprise architecture is complicated procedure, which uses framework as structure regularity and style as the behavior director for controlling complexity. As in architecture behavior, precedence over structure, for better diagnosis of a behavior than other behaviors, there is a need to evaluate the architecture performance. Enterprise architecture cannot be organized without the benefit of the logical structure. Framework provides a logical structure for classifying architectural output. Among the common architectural framework, the C4ISR is one of the most appropriate frameworks because of the methodology of its production and the level of aggregation capability and minor revisions. C4ISR framework, in three views and by using some documents called product, describes the architecture. In this paper, for developing the systems, there are always uncertainties in information systems and we may use new version of UML called FUZZY-UML, which includes structure and behavior of the system. The proposed model of this paper also uses Fuzzy Petri nets to analyze the developed system.

How to cite this paper
Sheykhi, K., Hosseinpour, M., Esmaeeli, S & Abbasi, M. (2012). A new method for university instructor assessment.Management Science Letters , 2(7), 2361-2366.

Refrences
Bailey, C.J., & Card, K.A. (2009). Effective pedagogical practices for online teaching: Perception of experienced instructors. The Internet and Higher Education, 12(3-4), 152-155.

Bailey, C.D., Gupta, S., & Schrader, R. W. (2000). Do students’ judgment models of instructor effectiveness differ by course level, course content, or individual instructor? Journal of Accounting Education, 18(1), 15-34.

Ba?aran, M.A., Kalayc?, N., & Atay, M.T. (2011). A novel hybrid method for better evaluation: Evaluating university instructors teaching performance by combining conventional content analysis with fuzzy rule based systems. Expert Systems with Applications, 28(10), 12565-12568.

Cakmak, M. (2011). What are prospective teachers’ opinions about their instructors’ teaching styles? Procedia - Social and Behavioral Sciences, 15, 1960-1964.

K??ce, D., Y?ld?z, C., & Ayd?n, M. (2011). Expectations of primary mathematics student teachers from their instructors and classmates. Procedia - Social and Behavioral Sciences, 15, 971-975.

Lanning, S.K., Brickhouse, T.H., Gunsolley, J.C., Ranson, S.L, Willett, R.M. (2011).
Communication skills instruction: An analysis of self, peer-group, student instructors and faculty assessment. Patient Education and Counseling, 83(2), 145-151.

Marsh, H.W., Tour?n, J., & Wheeler, B. (1985). Students & apos; evaluations of university instructors: The applicability of American instruments in a Spanish setting. Teaching and Teacher Education, 1(2), 123-138.
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Journal: Management Science Letters | Year: 2012 | Volume: 2 | Issue: 7 | Views: 1746 | Reviews: 0

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