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<p>Information Systems (IS) play a pivotal role in enhancing operational efficiency across disciplines, including education and accreditation. This research presents an adaptable IS-based model designed to assess Program Learning Outcomes (PLO) in higher education. The model calculates PLOs by aggregating Course Learning Outcomes (CLOs) across all modules in any program. Each CLO is linked to Key Performance Indicators (KPIs) measured through student assessments. Developed using Microsoft Excel, the model automates PLO calculations upon entering individual student scores, thereby improving accuracy and efficiency. It also supports dynamic data visualizations through interactive charts and graphs to facilitate analysis and reporting. The model is designed to be flexible, allowing customization for various program structures and assessment methodologies. Applied to a business module at the University of Gulf, it demonstrated practical utility and contributed to accreditation processes by producing reliable outcome assessments. Initial validation included comparison with manual calculation methods and positive feedback from faculty and quality assurance teams, though further statistical analysis is planned. To ensure data security and integrity, the model incorporates password-protected sheets and data validation features within Excel. This IS-based tool not only streamlines outcome measurement but also aligns with accreditation standards by supporting transparent, data-driven decision-making.</p>

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Information systems based model for the assessment of program learning outcomes in measuring the quality in higher education

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月22日

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  • Arshi Naim,
  • Mrim M. Alnfiai,
  • Nabil Sharaf Almalki

摘要

Information Systems (IS) play a pivotal role in enhancing operational efficiency across disciplines, including education and accreditation. This research presents an adaptable IS-based model designed to assess Program Learning Outcomes (PLO) in higher education. The model calculates PLOs by aggregating Course Learning Outcomes (CLOs) across all modules in any program. Each CLO is linked to Key Performance Indicators (KPIs) measured through student assessments. Developed using Microsoft Excel, the model automates PLO calculations upon entering individual student scores, thereby improving accuracy and efficiency. It also supports dynamic data visualizations through interactive charts and graphs to facilitate analysis and reporting. The model is designed to be flexible, allowing customization for various program structures and assessment methodologies. Applied to a business module at the University of Gulf, it demonstrated practical utility and contributed to accreditation processes by producing reliable outcome assessments. Initial validation included comparison with manual calculation methods and positive feedback from faculty and quality assurance teams, though further statistical analysis is planned. To ensure data security and integrity, the model incorporates password-protected sheets and data validation features within Excel. This IS-based tool not only streamlines outcome measurement but also aligns with accreditation standards by supporting transparent, data-driven decision-making.