Applying Artificial Intelligence Algorithms to Measure University Quality System Indicators

This study explores the application of artificial intelligence (AI) algorithms to assess the quality indicators of university systems in Iraqi higher education institutions. It aims to investigate the extent to which AI can enhance the quality of academic and non-academic services provided to students, based on their perceptions. The descriptive-analytical methodology was adopted, with a sample consisting of 25 students from the College of Economic Sciences at Al-Karkh University. Findings revealed a moderate level of AI algorithm implementation in evaluating service quality. No statistically significant differences were found based on gender or academic program, while significant differences emerged in favor of postgraduate students regarding academic qualifications. Furthermore, the study confirmed a statistically significant role of AI domains in improving service delivery and decision-making processes in university settings. The research concludes by emphasizing the importance of leveraging AI algorithms to optimize administrative efficiency, enhance service quality, and support strategic planning in higher education institutions.

Authors

Institutions

Publication Details

Journal
INTERNATIONAL JOURNAL OF PROFESSIONAL STUDIES
Published
2025-01-01
DOI
https://doi.org/10.37648/ijps.v20i01.003
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applying Artificial Intelligence Algorithms to Measure University Quality System Indicators

H. Rahim, Karar Abdul-Hussein Ajami
INTERNATIONAL JOURNAL OF PROFESSIONAL STUDIES
AI and HR Technologies
article

Applying Artificial Intelligence Algorithms to Measure University Quality System Indicators

H. Rahim, Karar Abdul-Hussein Ajami
article en

Abstract

This study explores the application of artificial intelligence (AI) algorithms to assess the quality indicators of university systems in Iraqi higher education institutions. It aims to investigate the extent to which AI can enhance the quality of academic and non-academic services provided to students, based on their perceptions. The descriptive-analytical methodology was adopted, with a sample consisting of 25 students from the College of Economic Sciences at Al-Karkh University. Findings revealed a moderate level of AI algorithm implementation in evaluating service quality. No statistically significant differences were found based on gender or academic program, while significant differences emerged in favor of postgraduate students regarding academic qualifications. Furthermore, the study confirmed a statistically significant role of AI domains in improving service delivery and decision-making processes in university settings. The research concludes by emphasizing the importance of leveraging AI algorithms to optimize administrative efficiency, enhance service quality, and support strategic planning in higher education institutions.

INTERNATIONAL JOURNAL OF PROFESSIONAL STUDIESVol. 20(2)
Financial Research (Hungary) (HU)
Openalex Percentile: Top 76%
AI and HR Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.