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An Expert System for Academic Staff Evaluation

by Gamal Alshorbagy, Mohamed A. El-Dosuky
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 18
Year of Publication: 2024
Authors: Gamal Alshorbagy, Mohamed A. El-Dosuky
10.5120/ijca2024923569

Gamal Alshorbagy, Mohamed A. El-Dosuky . An Expert System for Academic Staff Evaluation. International Journal of Computer Applications. 186, 18 ( Apr 2024), 1-4. DOI=10.5120/ijca2024923569

@article{ 10.5120/ijca2024923569,
author = { Gamal Alshorbagy, Mohamed A. El-Dosuky },
title = { An Expert System for Academic Staff Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2024 },
volume = { 186 },
number = { 18 },
month = { Apr },
year = { 2024 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number18/an-expert-system-for-academic-staff-evaluation/ },
doi = { 10.5120/ijca2024923569 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-04-27T03:06:59.249941+05:30
%A Gamal Alshorbagy
%A Mohamed A. El-Dosuky
%T An Expert System for Academic Staff Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 18
%P 1-4
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Academic staff evaluation is vital for faculty growth, enhancing education quality, and ensuring accountability. Regular evaluations contribute to faculty retention, career progression, institutional planning, and external accreditation processes, promoting transparency and stakeholder confidence. Validity and reliability are two crucial factors to take into account when evaluating a questionnaire's quality. An expert system for academic staff evaluation can provide valuable assessment and evaluation by utilizing a rule-based system, gathered data from sources like student evaluations, peer reviews, and self-assessments, and providing a comprehensive report with feedback and recommendations. This paper proposes an expert system for academic staff evaluation utilizing data warehouse and data mining technologies.

References
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Index Terms

Computer Science
Information Sciences
Academic Staff Evaluation
Expert System
Data Mining
Data warehouse

Keywords

Academic Staff Evaluation Expert System Data Mining Data warehouse

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