IMPLEMENTATION OF AI-BASED CTL LEARNING MODEL ON STUDENTS' MATHEMATICS LEARNING OUTCOMES

Yopi Ayomi Afandi, Noerhasmalina Noerhasmalina, Ana Istiani, Lisdwiana Kurniati, Korhan Cengiz

Abstract


This study was based on the low learning outcomes of students at SMP Negeri 4 Gadingrejo, where only 32 out of 126 students achieved the Learning Objective Achievement Criteria (KKTP). The research method used was quantitative with an experimental design, involving two groups: the experimental class (AI-based CTL) and the control class (Project Based Learning). The instrument used was a learning outcome test consisting of 5 essay questions that had been tested for validity and reliability. Data were analyzed to measure the differences in learning outcomes between the two groups. The results showed a significant difference between the average learning outcomes of students in the experimental class and those in the control class. The average learning outcomes of students who used the AI-based CTL model were higher than those who used the PjBL model. Based on the t-test, the calculated t value was 5.13, which was greater than the t-table value of 2.00, thus the research hypothesis was accepted. The conclusion of this study is that the application of the AI-based CTL learning model is effective in improving students’ learning outcomes on SPLDV material, and it is therefore recommended to consider using this model in mathematics learning.

Keywords


Artificial Intelligence; CTL learning model; Mathematics learning outcomes; PjBL learning model.

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References


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DOI: https://doi.org/10.36269/hjrme.v9i1.3778

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