Ellianawati , Ellianawati
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TINJAUAN LITERATUR SISTEMATIS: PENGARUH HYPERMEDIA TERHADAP HASIL BELAJAR SISWA (2015-2025) Afandi, Mohammad Iqbal; Tri Atmaja, Hamdan; Ellianawati , Ellianawati; Avrilianda, Decky
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 3 September 2025 In Order
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.30977

Abstract

This research aims to examine the effect of using hypermedia on student learning outcomes in the 2015-2025 timeframe. The background of this study is the low student learning outcomes due to the use of conventional learning methods with minimal media variations. This study was conducted through a systematic literature review using the PRISMA approach, which includes a process of identification, screening, eligibility and inclusion from five scientific databases. Of the 81 articles reviewed, 10 were selected as the main focus of analysis. The results showed that the use of hypermedia can significantly improve student learning outcomes, both cognitively and affectively. Hypermedia is effective in supporting diverse learning styles, simplifying complex material, and increasing student engagement and motivation. It also acts as an instructional and evaluative instrument in both online and offline learning. However, the effectiveness of hypermedia is highly dependent on teacher readiness, media design and infrastructure availability. The conclusion of this study confirms that hypermedia is a potential pedagogical tool to improve student learning outcomes, the quality of active, contextual and student-centered learning, and has great potential in the transformation of 21st century education.
ARTIFICIAL INTELLIGENCE IN PRIMARY EDUCATION: A BIBLIOMETRIC ANALYSIS OF TRENDS, OPPORTUNITIES, AND CHALLENGES (2018–2026) Yuliani, Anis; Dwi Cahyani, Arini; Ellianawati , Ellianawati; Subali, Bambang; Raharjo, Tri Joko
PIONIR: JURNAL PENDIDIKAN Vol 15 No 2 (2026): PIONIR: JURNAL PENDIDIKAN
Publisher : Prodi PGMI FTK UIN Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/pjp.v15i2.35092

Abstract

This study presents a bibliometric analysis of research trends, opportunities, and challenges related to artificial intelligence (AI) in primary education over the period 2018–2026. A total of 155 documents were retrieved from the Scopus database using a structured search query combining terms such as "artificial intelligence," "generative AI," "ChatGPT," "primary education," and "elementary school." After applying filters for subject area (Social Sciences), document type (articles), language (English), and specific keywords, 155 articles were analyzed. Descriptive analysis was conducted to examine publication trends by year, country, and affiliation. Bibliometric mapping using VOSviewer (version 1.6.20.0) identified keyword co-occurrence networks and research clusters. The findings reveal a significant increase in publications, especially from 2024 to 2026, with the highest number of articles published in 2025 (57 documents). It is important to note that the data for 2026 is partially retrieved (as of March 2026), and the full year's publication count may be higher. Three major research clusters were identified: (1) AI effects on student learning and engagement, (2) AI integration and implementation in primary schools, and (3) generative AI and student motivation. Opportunities include personalized learning and teacher support, while challenges include infrastructure, teacher readiness, and data privacy. This bibliometric analysis provides a comprehensive mapping of the field and highlights future research directions. Keywords: Artificial intelligence, primary education, bibliometric analysis, VOSviewer, Scopus, research trends