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All Journal Lentera Pustaka Jurnal PAJAR (Pendidikan dan Pengajaran) Curricula: Journal of Curriculum Development IJOEM: Indonesian Journal of Elearning and Multimedia
Rullyana, Gema
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Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Google Gemini as a Learning Assistant: Exploring Student Perceptions Majidah; Rullyana, Gema; Triandari, Rizki
Jurnal PAJAR (Pendidikan dan Pengajaran) Vol. 9 No. 2 (2025): March
Publisher : Laboratorium Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/pjr.v9i2.10008

Abstract

The emergence of Generative Artificial Intelligence (GAI) has had a significant impact on learning. One of the AI ​​technologies that is currently developing is Google Google Gemini, which has excellent potential for use as a learning assistant in physical classrooms. This research aims to understand students' perceptions of using Google Google Gemini as a tool in the learning process, with a focus on four main aspects: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), and Behavioral Intention to Use (BIU). The research method used was a survey involving 45 students of the Educational Technology Study Program, Faculty of Education, Indonesian Universitas Pendidikan Indonesia (UPI). The research results show that students have a very positive perception of Google Google Gemini. In the PU aspect, students feel that Google Google Gemini helps them understand course material, improves learning efficiency, and provides relevant and helpful information during class learning. In the PEOU aspect, students stated that learning to use Google Google Gemini was very easy, interaction with this tool did not require much effort, and the tool had a user-friendly interface. In terms of ATU, students have a very positive attitude towards the use of Google Google Gemini, considering it a good idea and feeling that this tool makes the learning process more enjoyable. Finally, in the BIU aspect, students showed a firm intention to continue using Google Google Gemini in their future academic activities, as well as a desire to recommend this tool to their friends.
The Effect of Information Quality of the Instagram Account @bemhimaperpusinfo on the Fulfillment of Information Needs of its Followers Permata, Alvin Tessar; Ummatin, Kuntum Khaira; Rullyana, Gema; Oktaviani, Fikri Dwi
Lentera Pustaka: Jurnal Kajian Ilmu Perpustakaan, Informasi dan Kearsipan Vol 11, No 1 (2025): June
Publisher : Library and Information Science Study Program, Faculty of Humanities, Univ. Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/lenpust.v11i1.72859

Abstract

Background: Recent studies on social media use in academic settings underline its increasing importance in fulfilling students' information needs.  Still, few studies concentrate on student-run Instagram profiles and how well they meet these requirements.Objective: Particularly in the context of 4C Chris Heuer and Guha's four approaches, this paper sought to examine how the information material given by the Instagram account @bemhimaperpusinfo fulfills the information demands of its followers.Methods: Using a survey design, a quantitative method was applied.  Using many linear models via SPSS 27, data was gathered from 100 followers of the @bemhimaperpusinfo account and evaluated.  Tests of validity, reliability, normality, multicollinearity, and heteroskedasticity were run before the regression analysis to guarantee data quality.Results: According to the study, all four aspects of the 4C Social Media model Context, Communication, Collaboration, and Connection had a notable beneficial impact on followers' information demand fulfillment.  With Communication (β = .380) and Connection (β = .295) rising as the best predictors, the regression model accounted for 72.0% of the variation (R²= .720).  Every 4C variable showed notable correlations with various facets of Guha's information requirements Current, Every day, Exhaustive, and Catching-up.Conclusion: These findings suggest that material created and disseminated by student-led Instagram accounts can significantly help to meet academic and organizational information needs.  Different institutional and peer-managed settings should be investigated in further studies using longitudinal or mixed-method designs to more thoroughly investigate long-term impacts and user experiences.
Artificial Intelligence (AI) trends in higher education learning: Bibliometric analysis Priandani, Ai Pemi; Riyana, Cepi; Hernawan, Asep Herry; Dewi, Laksmi; Emilzoli, Mario; Rullyana, Gema
Curricula: Journal of Curriculum Development Vol 4, No 1 (2025): Curricula: Journal of Curriculum Development, June 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/curricula.v4i1.86165

Abstract

The development of artificial intelligence (AI) technology has driven significant transformations in higher education. The integration of AI in learning offers the potential to increase the effectiveness, efficiency, and personalization of data-driven learning. This study aims to conduct a comprehensive bibliometric analysis of AI research trends in higher education learning, tracing publication patterns, source distribution, geographic distribution, and emerging themes in academic literature. The study uses a quantitative descriptive method with bibliometric analysis of Scopus publication data 2018–2023. The analysis was conducted using VOSviewer to map bibliographic relationships between publications, sources, authors, countries, and keywords. The results show that AI publications in higher education have increased rapidly, especially in 2023. The dominant themes are "artificial intelligence" and "higher education", with the latest trend towards "generative AI" and "ChatGPT". Publications appear in many interdisciplinary journals of social and computer sciences, with the United States, China, Australia, and the United Kingdom dominating research contributions. The findings provide a systematic overview of the development of AI research in higher education and serve as a strategic basis for educators, researchers, and policymakers in designing effective and sustainable AI integration in higher education. AbstrakPerkembangan teknologi kecerdasan buatan (AI) telah mendorong transformasi signifikan dalam pendidikan tinggi. Integrasi AI dalam pembelajaran menawarkan potensi peningkatan efektivitas, efisiensi, dan personalisasi pembelajaran berbasis data. Penelitian ini bertujuan melakukan analisis bibliometrik komprehensif terhadap tren penelitian AI dalam pembelajaran pendidikan tinggi, menelusuri pola publikasi, distribusi sumber, persebaran geografis, dan tema yang muncul dalam literatur akademik. Penelitian menggunakan metode deskriptif kuantitatif dengan analisis bibliometrik data publikasi Scopus 2018–2023. Analisis dilakukan menggunakan VOSviewer untuk memetakan hubungan bibliografis antara publikasi, sumber, penulis, negara, dan kata kunci. Hasil menunjukkan publikasi AI dalam pendidikan tinggi mengalami peningkatan pesat, terutama tahun 2023. Tema dominan adalah "artificial intelligence" dan "higher education", dengan tren terkini mengarah pada "generative AI" dan "ChatGPT". Publikasi banyak muncul di jurnal interdisipliner ilmu sosial dan komputer, dengan Amerika Serikat, Tiongkok, Australia, dan Inggris mendominasi kontribusi penelitian. Temuan memberikan gambaran sistematis perkembangan penelitian AI dalam pendidikan tinggi dan menjadi dasar strategis bagi pendidik, peneliti, dan pembuat kebijakan dalam merancang integrasi AI yang efektif dan berkelanjutan di perguruan tinggi.Kata Kunci: analisis bibliometrik; desain pembelajaran; kecerdasan buatan; pembelajaran; pendidikan tinggi
Enhancing Student Collaboration and Participation through Google Workspace in Higher Education Hernawan, Asep Herry; Emilzoli, Mario; Rullyana, Gema; Priandani, Ai Pemi; Saputra, Yori
IJOEM Indonesian Journal of E-learning and Multimedia Vol. 4 No. 1 (2025): Indonesian Journal of E-learning and Multimedia (January 2025)
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v4i1.359

Abstract

This study focuses on creating a collaborative-participatory digital learning design utilizing Google Workspace to enhance student interaction, collaboration, and participation in higher education. The research adopts the Design-Based Research (DBR) methodology, which includes three stages: analysis and exploration, design and construction, and evaluation and reflection. The study involved 50 lecturers from five universities, 25 students, two curriculum experts, and two educational technology experts. Data collection methods included questionnaires, focus group discussions (FGDs), and design trials. The resulting learning design incorporates Google Workspace features such as Google Docs, Google Slides, Google Forms, Google Meet, and Google Classroom to support learning objectives, content, strategies, and assessments. The findings reveal that this design significantly improves student engagement, fosters deeper collaboration, and facilitates more objective and efficient assessments. This research underscores the potential of optimizing Google Workspace to enhance the quality of learning and ensure that students’ skills are relevant to the evolving demands of the workforce and industry. The proposed design offers a scalable and practical model for advancing digital education in universities.
Co-Authors Asep Herry Hernawan Cepi Riyana, Cepi Emilzoli, Mario Laksmi Dewi, Laksmi Majidah Majidah Oktaviani, Fikri Dwi Permata, Alvin Tessar Priandani, Ai Pemi Saputra, Yori Triandari, Rizki Ummatin, Kuntum Khaira