A Proposed Evaluation Matrix for the Roles of Artificial Intelligence in Developing Smart Learning Methods. | ||||
| العلوم التربوية | ||||
| Volume 33, Issue 2 - Serial Number 5, April 2025, Page 1-39 PDF (550.64 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/ssj.2025.447531 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Dr. Deiaa Eldeen Mohamed Metawe | ||||
| Abstract | ||||
| Abstract: The current study aimed to design a proposed evaluation matrix for the roles of artificial intelligence (AI) in developing smart learning methods, informed by data mining analyses of big data related to these roles, with the overarching goal of enhancing the quality of educational systems and envisioning a promising future for AI utilization in the digital era. To achieve this, the study addressed six specific questions focusing on AI's developmental roles, necessary utilization tasks, potential advantages, hindering challenges, evaluative criteria, and optimization strategies within smart learning methods. The study adopted a descriptive and analytical method, based on an exploratory survey of big data concerning AI's roles in education from multiple perspectives. Relevant literature from open digital sources available online, published during 2023-2025, was reviewed. This review identified 91 recurring AI roles, appearing in varying proportions, which were then categorized into 11 main areas. These roles were presented in a questionnaire to explore the opinions of a sample of 40 researchers, educational supervisors, and teachers in the Sultanate of Oman who are involved in AI in education. The purpose was to explore their views on the most important current and future roles of AI in developing smart learning methods. The sample's opinions largely concurred on the importance of 41 roles, classifying them as "very important" or "important". Subsequently, a proposed evaluation matrix was designed to leverage these roles, incorporating five influential dimensions: methods and tasks, potential advantages, hindering challenges, evaluation criteria, and improvement strategies. The evaluative content of the roles within the matrix was then discussed in five workshops, comprising five discussion sessions, which concluded with findings to answer the research questions. The study concluded with recommendations for future research. | ||||
| Keywords | ||||
| Keywords: Artificial Intelligence; Educational Roles; Smart Learning Methods; Evaluation Matrix | ||||
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