Transformation of Arabic Language Learning through a Deep Learning Approach in Understanding Global Meaning: A Case Study at the Mu'adalah Wustha Educational Unit of Pondok Pesantren Darussalam Blokagung Banyuwangi
Abstract
Understanding global meaning (al-ma‘na al-ijmālī) is a crucial competency in Arabic language learning, but it is often hindered by a fragmented approach to teaching. This research aims to test the effectiveness of the deep learning approach in enhancing holistic understanding and to analyze the relationship between students' perceptions and learning outcomes. Using the quasi-experimental method of a one-group pretest-posttest design reinforced with a control group, the study involved 66 eighth-grade Muadalah Wustha female students who were divided into experimental and control groups. The research instruments consisted of validated objective tests and perception questionnaires. Data were analyzed using the Mann-Whitney U test, Wilcoxon Signed Rank test, and Spearman's rho correlation. The research results show: (1) The gain score of the experimental group (41.03) was significantly higher than that of the control group (23.73) with p=0.000, proving the effectiveness of the deep learning approach; (2) There is a perfect correlation between the perception of the learning process and the report of conceptual understanding (ρ=1.000) as well as a significant positive correlation between both and the gain score (ρ=0.357). The conclusion of this study confirms that the deep learning approach is not only effective in significantly enhancing cognitive competence but also reveals a symbiotic relationship between affective and cognitive aspects in meaningful learning. These findings provide practical contributions in the form of alternative learning models and a foundation for the development of further research with more complex designs.
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