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All Journal AFORE: Jurnal Pendidikan Matematika CIVIC SOCIETY RESEARCH and EDUCATION: Jurnal Pendidikan Pancasila dan Kewarganegaraan
Fresty Handayani Togatorop
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Education Mathematics Other

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THE COOPERATIVE SCRIPT LEARNING MODEL ON THE ABILITY TO UNDERSTAND MATHEMATICAL CONCEPTS Laowo, Nasowaauri; Sudung Kristopel Naiborhu; Fresty Handayani Togatorop; Purnama Raya Anjelina Situmorang; Vinita M L Gaol; Firman Pangaribuan; Hardi Tambunan
Afore : Jurnal Pendidikan Matematika Vol 4 No 1 (2025): AFORE : Jurnal Pendidikan Matematika
Publisher : Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/afore.v4i1.2547

Abstract

This study aims to determine the effect of the Cooperative Script learning model on students' mathematical concept comprehension skills. This research uses a quantitative approach with a quasi-experimental method and a pretest-posttest control group design. The population of this study is all 8th-grade students of SMP Negeri 1 Toma, and the research samples consist of class VIII-C as the experimental group and class VIII-D as the control group. The data were analyzed using the Liliefors test to check for normality, variance tests for homogeneity, and t-tests to test the hypothesis. The research findings show that: (1) the use of the Cooperative Script learning model improves students' ability to understand mathematical concepts and makes them more focused and actively engaged in learning; (2) the hypothesis test results show that tₕᵢₜ > tₜₐbᵗ (2.583 > 2.000), which leads to the rejection of the null hypothesis (Hₒ) and the acceptance of the alternative hypothesis (Hₐ). Therefore, it can be concluded that the Cooperative Script learning model influences students' mathematical concept comprehension abilities.
MEMANFAATKAN TEORI BELAJAR KOGNITIVISME UNTUK MEMPERKUAT PEMBELAJARAN DEEP LEARNING Fresty Handayani Togatorop; Benni Polin Parsaulian Purba; Artha Hadia Sihombing; Karyenti M S Lahagu; Efron Manik; Firman Pangaribuan
Civic Society Research and Education: Jurnal Pendidikan Pancasila dan Kewarganegaraan Vol 6 No 1 (2025): CIVIC SOCIETY RESEARCH and EDUCATION: Jurnal Pendidikan Pancasila dan Kewarganega
Publisher : Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/jpkn.v6i1.3137

Abstract

This study aims to examine the role of cognitivist learning theory in enhancing the effectiveness of Deep Learning, both as a pedagogical approach and as a form of artificial intelligence (AI) technology. Cognitivism emphasizes the importance of internal mental processes, knowledge structures, and cognitive load management strategies in understanding and retaining information. Meanwhile, Deep Learning in education demands higher-order thinking skills, conceptual understanding, and the ability to connect knowledge across contexts. Using a literature review method, this study analyzes scholarly works published between 2010 and 2025 that discuss the integration of cognitive theory into digital learning design and adaptive AI systems. The findings indicate that strategies such as worked examples, fading, chunking, advance organizers, and metacognition-based active learning effectively improve learners’ comprehension in Deep Learning contexts. Furthermore, the use of AI-powered adaptive technologies developed based on cognitivist principles—such as neural cognitive diagnosis—can enhance learning personalization and instructional effectiveness. This study concludes that the synergy between cognitivist theory and Deep Learning can shape a more meaningful, reflective, and sustainable learning framework.
Co-Authors Artha Hadia Sihombing Benni Polin Parsaulian Purba Firman Pangaribuan Hardi Tambunan Karyenti M S Lahagu Laowo, Nasowaauri Manik, Efron Purnama Raya Anjelina Situmorang Sudung Kristopel Naiborhu Vinita M L Gaol