Developing BI Scorecards for Assessing Higher Education Quality Dashboards Using Human-Computer Interaction Concept: A Case Study

As Higher Education Institutions (HEIs) in the Kingdom of Saudi Arabia (KSA) have difficulties in monitoring their compliance with the national Quality Assurance (QA) standards, a Holistic Framework for Monitoring Quality in Higher Education Institutions using Business Intelligence Dashboards (HF-HEQ-BI) was used to address this challenge. This paper presents the development and evaluation of Business Intelligence (BI) scorecards for assessing BI dashboards within Higher Education (HE) context based on the Human-Computer Interaction (HCI) principles. It explores the implementation of a Holistic Framework for Monitoring Quality in Higher Education Institutions using Business Intelligence Dashboards (HF-HEQ-BI) in Saudi Arabian HEIs. The paper outlines the development of an evaluation tool for BI dashboards design based on the HF-HEQ-BI framework, emphasising usability, ease of learning, and user interaction as key metrics. A dashboard developed using the HF-HEQ-BI framework was assessed by a panel of experts in Quality Assurance (QA) from Saudi HEIs. The evaluation showed high usability and acceptance rates, indicating that the HF-HEQ-BI framework effectively supports the development of dashboards that meet QA requirements and enhance decision-making processes in HEIs. The study concludes with recommendations for future work, including further development of the HF-HEQ-BI framework and continuous monitoring capabilities in BI dashboards.

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Publication Details

Journal
Cloud Computing and Data Science
Published
2024-12-06
DOI
https://doi.org/10.37256/ccds.6120255631
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Developing BI Scorecards for Assessing Higher Education Quality Dashboards Using Human-Computer Interaction Concept: A Case Study

Ali Sorour, Anthony Atkins
1 citations
Cloud Computing and Data Science
Big Data and Business Intelligence
0.53
article

Developing BI Scorecards for Assessing Higher Education Quality Dashboards Using Human-Computer Interaction Concept: A Case Study

Ali Sorour, Anthony Atkins
article en
1 citations

Abstract

As Higher Education Institutions (HEIs) in the Kingdom of Saudi Arabia (KSA) have difficulties in monitoring their compliance with the national Quality Assurance (QA) standards, a Holistic Framework for Monitoring Quality in Higher Education Institutions using Business Intelligence Dashboards (HF-HEQ-BI) was used to address this challenge. This paper presents the development and evaluation of Business Intelligence (BI) scorecards for assessing BI dashboards within Higher Education (HE) context based on the Human-Computer Interaction (HCI) principles. It explores the implementation of a Holistic Framework for Monitoring Quality in Higher Education Institutions using Business Intelligence Dashboards (HF-HEQ-BI) in Saudi Arabian HEIs. The paper outlines the development of an evaluation tool for BI dashboards design based on the HF-HEQ-BI framework, emphasising usability, ease of learning, and user interaction as key metrics. A dashboard developed using the HF-HEQ-BI framework was assessed by a panel of experts in Quality Assurance (QA) from Saudi HEIs. The evaluation showed high usability and acceptance rates, indicating that the HF-HEQ-BI framework effectively supports the development of dashboards that meet QA requirements and enhance decision-making processes in HEIs. The study concludes with recommendations for future work, including further development of the HF-HEQ-BI framework and continuous monitoring capabilities in BI dashboards.

Cloud Computing and Data Science
University of Staffordshire (GB), Buraydah Colleges (SA)
Openalex Percentile: Top 21%
Big Data and Business Intelligence
0.53
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