متطلبات دعم اتخاذ القرارات الإدارية باستخدام الذكاء الاصطناعي في وزارة التعليم بالمملكة العربية السعودية

Abstract EN

Today, with the advent of the fourth industrial revolution and the advances in artificial intelligence (AI), experts believe many aspects of administrative decision-making will be carried out by machines.

The present study aims to identify the required steps for supporting administrative decision-making using artificial intelligence at the Ministry of Education (MOE) in the Kingdom of Saudi Arabia.

The study was conducted using a descriptive survey method and designed questions pertaining to the status of utilizing AI in decision-making process and the challenges to its application in the MOE.

The interviews were conducted with 17 experts among the leaders in the MOE, universities professors, and specialists in computer science and artificial intelligence fields.

The interview questions were organized to cover the requirement to be able to use AI in four dimensions related to administrative decision-making process, namely, Identifying the problem - Gathering information and analysis - Determining and selecting alternatives - and Implementation and follow-up.

In identifying the problem step, respondents think that the most important aspects to consider are raising the quality of data owned by the Ministry of Education and working to process it, consolidation of the data and unified information center in the Ministry of Education, recreating the digital framework in a way that ensures data quality in adapting artificial intelligence techniques.

For Gathering information and analysis, most responses focused on the necessity of linking the Ministry's digital systems together (integration between systems), leveraging machines and sensors for data collection, sharing data with relevant (governmental and private sector) agencies, in utilizing AI in determining and selecting alternatives, the responses rated the following as crucial, process reengineering, transfer of human expertise to knowledge bases.

For AI use in decision-making implementation and follow-up, most responses emphasis the importance of enabling artificial intelligence programs to access data sources and the information center in the Ministry of Education and providing mechanisms to measure and evaluate the level of implementation of AI and ensuring the quality of data entry.

The results suggest several recommendations to assist officials in the Ministry of Education in applying artificial intelligence techniques to support administrative decisionmaking.