Him Patry
An-Nikmah Al-Islamiyah Phnom Penh

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The Role of Technology in Knowing Intellectual Intelligence in Elementary School Children Abdul Rasyid; Him Patry
International Journal of Language and Ubiquitous Learning Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i2.1192

Abstract

Background. The use of technology has positive and negative impacts depending on the ability of users, especially children to use it. The policy of using technology has a significant impact on the development of children's brain abilities, this also affects the level of children's intelligence. It is the responsibility of parents to know the changes that occur during the child's growth and development. Purpose. This study aims to evaluate the extent of the influence of technology on children's intellectual intelligence, especially in elementary school children. The focus of this research is to understand how technology affects the intellectual development of children in this age group. Method. The approach used in this study is a quantitative method. Data was collected through the distribution of questionnaires using Google Forms, which were filled out by teachers in elementary schools. This approach allows for the collection of relevant data directly from those who interact with children in the context of daily education. Results. The results of the study show that the use of technology has a double impact, namely positive and negative, on the intellectual intelligence of elementary school students. Technology can improve skills and knowledge if used appropriately. However, without adequate supervision, technology can also have negative impacts, such as decreased concentration and unbalanced social development. Conclusion. The conclusion of this study explains that technology is able to have a positive impact on students' intellectual intelligence if under the proper supervision of parents. If parents are negligent in controlling technology for children, it will have negative and fatal consequences.
The Evolution of E-Learning Platforms: From U-Learning to AI-Driven Adaptive Learning Systems Ahmad Zain Sarnato; Windy Dian Sari; Sri Tuti Rahmawati; Rachmat Hidayat; Him Patry
Journal of Social Science Utilizing Technology Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i2.1131

Abstract

Background. Information and communication technology development has brought significant changes in how learning is carried out, primarily through e-learning platforms. From the introduction of u-learning (ubiquitous learning) that allows access to learning anywhere and anytime to the emergence of adaptive learning systems driven by artificial intelligence (AI), this evolution continues to change the educational landscape. Purpose. This study examines the evolution of e-learning platforms from u-learning to AI-based adaptive learning systems. The main focus is understanding how each development phase has improved learning effectiveness and met individual learning needs. Method. This research uses a qualitative approach with literature study methods. Data was gathered from various academic sources, including journals, books, and conference reports discussing the evolution of e-learning. Thematic analysis is used to identify critical patterns and trends in developing e-learning platforms. Results. The results show that the evolution of e-learning has brought significant improvements in accessibility, interactivity, and personalization of learning. U-learning allows for more flexible access to education. At the same time, AI-based adaptive learning systems offer a more personalized learning experience by tailoring teaching materials and methods according to student’s needs and abilities. These findings emphasize the importance of technology in improving learning effectiveness and efficiency. Conclusion. The study concludes that e-learning platforms have evolved significantly from u-learning to AI-based adaptive learning systems, improving learning quality and effectiveness. Integrating AI in e-learning offers excellent potential for creating more personalized and compelling learning experiences. Recommendations for follow-up research include further exploring the long-term impact of adaptive learning systems and developing more advanced technologies to support more inclusive and efficient learning.