Identifying the Learning Preferences of Generation Alpha Students (A Meta-Synthesis (

Document Type : Original Article

Authors

1 B.A. student, Department of Social Sciences, Farhangian University, Zanjan, Iran.

2 Assistant Professor of Educational Management, Department of Educational Administration, Farhangian University, Tehran, Iran

Abstract

The present study aimed to identify the learning preferences of Generation Alpha students. This study adopted a qualitative approach and was conducted using the meta-synthesis method. To perform the meta-synthesis, the seven-step procedure proposed by Sendelowski and Barroso was followed. All scientific documents published in domestic and international databases between the years 2020 and 2025 constituted the population of the present research. Studies related to the subject under investigation were reviewed in terms of title, abstract, and full text, and finally, 21 scientific documents were analyzed and synthesized. The learning preferences of Generation Alpha students were categorized into 5 main themes (categories) and 18 sub-themes (sub-categories). The five core themes related to the learning preferences of Generation Alpha students are: Interactive and Active Learning, Digital Technology-Based Learning, Personalized and Self-Directed Learning, Creativity and Problem-Solving-Based Learning, and Learning Environment and Content. The research findings provide policymakers and decision-makers in the country's educational system with the opportunity to gain a comprehensive understanding of Generation Alpha's learning preferences, enabling them to make well-informed and efficient decisions regarding leveraging the capacities of this generation to build a better future. The present study aimed to identify the learning preferences of Generation Alpha students. This study adopted a qualitative approach and was conducted using the meta-synthesis method. To perform the meta-synthesis, the seven-step procedure proposed by Sendelowski and Barroso was followed. All scientific documents published in domestic and international databases between the years 2020 and 2025 constituted the population of the present research. Studies related to the subject under investigation were reviewed in terms of title, abstract, and full text, and finally, 21 scientific documents were analyzed and synthesized.

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