Editorial on decision support system for development of intelligent applications

Nazir, Shah; Khan, Habib Ullah; Shahzad, Sara; García‐Magariño, Iván

doi:10.1007/s00500-022-07390-4

Cited by 2 publications

(1 citation statement)

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“…Higher education management involves a series of management activities that organize, plan, coordinate and supervise higher education institutions to improve the quality of education, enhance the student experience and meet the needs of society. In this ever-changing environment, higher education management is developing towards a more scientific, data-driven and focus on education quality and student experience [2][3] .…”

Section: Introductionmentioning

confidence: 99%

Higher Education Management Based on Intelligent Decision Support System

Li,

Gao,

2024

Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–

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In today's society, higher education management is facing increasingly complex challenges and changes. Driven by globalization and technological advancement, higher education institutions need to adapt to the changing environment and provide high-quality educational services. To meet these challenges, policymakers need accurate data and information to guide their decisions. Therefore, data collection for decision-making projects and objectives in higher education management becomes crucial. In higher education administration, decision-making projects cover aspects such as enrollment management, student assessment, and financial management. These programs require policy makers to make informed decisions based on the facts to improve the quality of education and student satisfaction. Through the analysis of students' learning situation and needs, this paper finds that intelligent decision support system decision makers can understand students' needs and trends, so as to make more accurate enrollment management decisions. Intelligent decision support system helps decision makers make more informed decisions and improve education quality and student satisfaction through functions such as data analysis, real-time feedback, resource optimization and accurate decision-making.

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Section: Introductionmentioning

confidence: 99%