The Impact of Using Electronic Mind Maps on Develo** Cognitive Performance in Teaching the Curriculum Design Course for Students at the University College of Applied Sciences (UCAS)

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AI in Business: Opportunities and Limitations

Abstract

This study investigates the impact of an educational program utilizing “Simple Mind Pro” for mind map** on enhancing cognitive performance in curriculum design. The primary research question addresses the influence of mind map** strategy on cognitive performance development in the curriculum design course at the University College of Applied Sciences (UCAS). To achieve this, a semi-experimental approach was employed, involving the administration of an achievement test to (60) female students from (UCAS) in Gaza during the academic year 2022–2023. The researcher divided the sample into an Experimental Group and a control sample, each consisting of (30) female students, Data analysis was conducted using the statistical software SPSS.

The key findings of the study indicate statistically significant differences favoring the use of the mind map** strategy over the traditional method in enhancing cognitive performance in the curriculum design course. Specifically, the mind map** method increased knowledge levels from (35.1%) to (61.6%), while the traditional method raised knowledge levels from (35.1%) to (47.6%). These differences were statistically significant at the (0.05) significance level. As a result, the study recommends that educational supervisors promote active learning environments by encouraging teachers to undergo training workshops on modern teaching strategies such as the mind map strategy, which can boost students’ motivation to learn.

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Correspondence to Najwa F. Saleh .

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Saleh, N.F., Abusamra, A. (2024). The Impact of Using Electronic Mind Maps on Develo** Cognitive Performance in Teaching the Curriculum Design Course for Students at the University College of Applied Sciences (UCAS). In: Khamis, R., Buallay, A. (eds) AI in Business: Opportunities and Limitations. Studies in Systems, Decision and Control, vol 516. Springer, Cham. https://doi.org/10.1007/978-3-031-49544-1_13

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  • DOI: https://doi.org/10.1007/978-3-031-49544-1_13

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