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The Use of Generative AI in Designing Adaptive Digital Learning Materials: A Literature Review Baiq Anisya Nelahi Purnadya; Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Nina Nisrina; Gunawan Gunawan
Indonesian Journal of Applied Science and Technology Vol. 5 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian

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Abstract

The development of generative Artificial Intelligence (AI) provides new opportunities in designing adaptive digital learning materials through automated content generation and personalized learning. This study aims to examine the roles, potentials, and challenges of generative AI in developing adaptive digital learning materials. The method used is a literature review of 15 scientific articles published between 2015-2024, retrieved from Google Scholar and Publish or Perish. The results indicate that generative AI supports automated content creation, personalization based on learners’ needs, and real-time material delivery. These capabilities enhance learning effectiveness, flexibility, and relevance. However, challenges remain, including teachers’ readiness, unequal access to technology, and the potential decline in students’ independent learning. Therefore, the integration of generative AI needs to be implemented carefully to optimally support adaptive digital learning.
Literature Review: The Effect of Virtual Laboratories on Students' Motivation and Learning Interest Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Baiq Anisya Nelahi Purnadya; Gunawan Gunawan
Indonesian Journal of Applied Science and Technology Vol. 5 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian

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Abstract

This systematic literature review aims to examine the effectiveness of virtual laboratory implementation in enhancing students’ motivation and interest in learning based on scientific articles published between 2015 and 2024. A total of 17 empirical studies were analyzed using a qualitative descriptive content analysis method. The articles were collected through a systematic search using the Publish or Perish application in the Google Scholar and OpenAlex databases with the keywords: “virtual laboratory,” “virtual lab,” “PhET simulation,” “learning motivation,” and “learning interest.” Most of the analyzed studies were conducted at the junior and senior high school levels (SMP and SMA). The results indicate that all analyzed studies (100%) reported a positive effect of virtual laboratories on students’ affective domains, reflected in increased motivation scores and learning interest. PhET Simulation emerged as the most widely used platform (52.94%), particularly in Physics topics such as Archimedes’ Law, Heat and Temperature, and Harmonic Motion. Publication trends showed a significant peak in 2022 (29.41%), corresponding to the accelerated adoption of digital learning technologies during the post-COVID-19 era. The findings suggest that the effectiveness of virtual laboratories is driven by dynamic visualization of abstract concepts, interactive feedback, and flexibility in conducting repeated experiments. Overall, the findings indicate that virtual laboratories are effective learning media for improving students’ motivation and interest, particularly at the junior and senior high school levels. Their effectiveness is further supported by the integration of appropriate instructional models and the teacher’s role as a facilitator.
The Role of Virtual Laboratories in Improving Students' Learning Motivation Baiq Anisya Nelahi Purnadya; Baiq Oriza Januarlinda; Nurul Asmaya Fitria Hasanah; Gunawan Gunawan
Indonesian Journal of Applied Science and Technology Vol. 4 No. 2 (2023): Edisi Juli-Desember 2023
Publisher : Indonesian

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Abstract

Virtual laboratories have emerged as a pivotal innovation in modern science education, yet a synthesized understanding of their psychological impact remains limited. This study examines the role of virtual laboratories in enhancing student learning motivation using a systematic literature review approach. A total of 18 research articles published between 2014 and June 2023 were analyzed. The literature selection process followed rigorous identification, screening, eligibility, and inclusion stages based on predetermined criteria. Data were synthesized using a thematic analysis approach, categorizing the findings into three primary themes: learning motivation, student engagement, and conceptual understanding. The findings indicate that virtual laboratories significantly boost student learning motivation by providing interactive, flexible, and immersive learning experiences. Additionally, these digital platforms facilitate the visualization of abstract concepts, thereby fostering student participation and curiosity. Consequently, virtual laboratories serve as an effective and innovative tool capable of transforming contemporary science education.