Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal IJoASER (International Journal on Advanced Science, Education, and Religion) Jurnal Al-Qiyam
Pahrozi Ahmad
UIN Fatmawati Sukarno Bengkulu, Indonesia
Religion Education Social Sciences

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Integration of Artificial Intelligence in Learning to Improve Student Learning Outcomes at Sd N 42 Bengkulu City Ziara Karunia Pratiwi; Niken Febiola; Andre Taulani Sandi; Pahrozi Ahmad
International Journal on Advanced Science, Education, and Religion Vol 8 No 1 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i1.1583

Abstract

This study aims to describe the integration of Artificial Intelligence (AI) in learning and to illustrate the improvement in student learning outcomes in fifth grade at SD Negeri 42, Bengkulu City. This study used a qualitative, descriptive approach. Subjects included teachers and students selected through purposive sampling. Data collection was conducted through observation, interviews, and documentation. Data analysis employed an interactive analysis model encompassing data reduction, data presentation, and conclusion drawing. Its validity was tested through triangulation of sources and techniques. The results indicate that the integration of AI in learning creates a more interactive, adaptive, and engaging learning process, thereby increasing student activity, engagement, and understanding. Improved student learning outcomes are demonstrated by increases in class average grades and learning completion percentages. Several obstacles to implementing AI include limited devices, limited internet access, and the ability of teachers and students to use technology. Integrating AI into learning has significant potential to improve the quality of learning in elementary schools, but requires supporting facilities, teacher readiness, and ongoing development for optimal implementation.
The Use of Deep Learning-Based Interactive Visual Media in Improving Students' Understanding of Concepts in Various Subjects: Literature Review Syerli Feronica; Lovita Lovita; Pahrozi Ahmad
International Journal on Advanced Science, Education, and Religion Vol 8 No 1 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i1.1603

Abstract

The rapid advancement of educational technology has introduced sophisticated tools to improve classroom instruction, but students often struggle to understand abstract concepts through traditional methods. This literature review aims to analyze the role and effectiveness of deep learning-based interactive visual media in improving students' understanding of concepts in various subjects. This study uses a systematic literature review method by synthesizing academic journals, research reports, and pedagogical publications in the past decade to test the synergy between artificial intelligence-based interactive media and student learning outcomes. The analysis shows that deep learning-based interactive visual media effectively enhances cognitive engagement, facilitates the simplification of complex concepts, and improves memory retention by providing a personalized and adaptive learning experience. It is concluded that the integration of interactive visual media powered by deep learning is a significant pedagogical advance, offering educators a dynamic tool to foster deeper understanding of concepts and active student participation.
Integration of Artificial Intelligence in Learning to Improve Student Learning Outcomes at Sd N 42 Bengkulu City Ziara Karunia Pratiwi; Niken Febiola; Andre Taulani Sandi; Pahrozi Ahmad
International Journal on Advanced Science, Education, and Religion Vol 8 No 1 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i1.1583

Abstract

This study aims to describe the integration of Artificial Intelligence (AI) in learning and to illustrate the improvement in student learning outcomes in fifth grade at SD Negeri 42, Bengkulu City. This study used a qualitative, descriptive approach. Subjects included teachers and students selected through purposive sampling. Data collection was conducted through observation, interviews, and documentation. Data analysis employed an interactive analysis model encompassing data reduction, data presentation, and conclusion drawing. Its validity was tested through triangulation of sources and techniques. The results indicate that the integration of AI in learning creates a more interactive, adaptive, and engaging learning process, thereby increasing student activity, engagement, and understanding. Improved student learning outcomes are demonstrated by increases in class average grades and learning completion percentages. Several obstacles to implementing AI include limited devices, limited internet access, and the ability of teachers and students to use technology. Integrating AI into learning has significant potential to improve the quality of learning in elementary schools, but requires supporting facilities, teacher readiness, and ongoing development for optimal implementation.
The Use of Deep Learning-Based Interactive Visual Media in Improving Students' Understanding of Concepts in Various Subjects: Literature Review Syerli Feronica; Lovita Lovita; Pahrozi Ahmad
International Journal on Advanced Science, Education, and Religion Vol 8 No 1 (2025): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v8i1.1603

Abstract

The rapid advancement of educational technology has introduced sophisticated tools to improve classroom instruction, but students often struggle to understand abstract concepts through traditional methods. This literature review aims to analyze the role and effectiveness of deep learning-based interactive visual media in improving students' understanding of concepts in various subjects. This study uses a systematic literature review method by synthesizing academic journals, research reports, and pedagogical publications in the past decade to test the synergy between artificial intelligence-based interactive media and student learning outcomes. The analysis shows that deep learning-based interactive visual media effectively enhances cognitive engagement, facilitates the simplification of complex concepts, and improves memory retention by providing a personalized and adaptive learning experience. It is concluded that the integration of interactive visual media powered by deep learning is a significant pedagogical advance, offering educators a dynamic tool to foster deeper understanding of concepts and active student participation.
Co-Authors Andre Taulani Sandi Lovita Lovita Niken Febiola Syerli Feronica Ziara Karunia Pratiwi