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PENGARUH INTENSITAS PENGGUNAAN GENERATIVE ARTIFICIAL INTELLIGENCE TERHADAP BERPIKIR KRITIS DAN HASIL BELAJAR MAHASISWA Prasetya Yoga Santoso; Ressa Uli Patrissia
Jurnal Lingkar Mutu Pendidikan Vol 23 No 1 (2026): Jurnal Lingkar Mutu Pendidikan
Publisher : LPMP Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54124/jlmp.v23i1.192

Abstract

This study examines the effect of Generative Artificial Intelligence (Gen AI) usage on the critical thinking skills and learning outcomes of university students in Indonesia. The novelty of this research lies in the integration of AI literacy as a moderating variable, which has not been studied simultaneously in the context of Indonesian higher education. The study employed a one-shot case study pre-experimental method with 50 students as samples, divided into three groups based on Gen AI usage intensity: low (n=16), moderate (n=17), and high (n=17). Data were analyzed using one-way Analysis of Variance (ANOVA). Results revealed significant differences in critical thinking skills (F(2,47) = 18.43, p < .001) and learning outcomes (F(2,47) = 22.17, p < .001) among the three groups. The high-intensity Gen AI group obtained the highest mean critical thinking score (M = 84.71, SD = 5.34) and the best learning outcomes (M = 87.12, SD = 4.91). This study recommends structured integration of Gen AI into higher education curricula accompanied by enhanced AI literacy for students.
PENGARUH INTENSITAS PENGGUNAAN GENERATIVE ARTIFICIAL INTELLIGENCE TERHADAP BERPIKIR KRITIS DAN HASIL BELAJAR MAHASISWA Prasetya Yoga Santoso; Ressa Uli Patrissia
Jurnal Lingkar Mutu Pendidikan Vol 23 No 1 (2026): Jurnal Lingkar Mutu Pendidikan
Publisher : LPMP Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54124/jlmp.v23i1.192

Abstract

This study examines the effect of Generative Artificial Intelligence (Gen AI) usage on the critical thinking skills and learning outcomes of university students in Indonesia. The novelty of this research lies in the integration of AI literacy as a moderating variable, which has not been studied simultaneously in the context of Indonesian higher education. The study employed a one-shot case study pre-experimental method with 50 students as samples, divided into three groups based on Gen AI usage intensity: low (n=16), moderate (n=17), and high (n=17). Data were analyzed using one-way Analysis of Variance (ANOVA). Results revealed significant differences in critical thinking skills (F(2,47) = 18.43, p < .001) and learning outcomes (F(2,47) = 22.17, p < .001) among the three groups. The high-intensity Gen AI group obtained the highest mean critical thinking score (M = 84.71, SD = 5.34) and the best learning outcomes (M = 87.12, SD = 4.91). This study recommends structured integration of Gen AI into higher education curricula accompanied by enhanced AI literacy for students.
Human–Computer Interaction and Digital Advertising Effectiveness: A Systematic Literature Review of Visual Attention, Interface Design, and Persuasion Ressa Uli Patrissia; Pritha Ayodya Basuki; Mochamad Husni
Journal of Law, Politic and Humanities Vol. 6 No. 3 (2026): (JLPH) Journal of Law, Politic and Humanities
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jlph.v6i3.3130

Abstract

Digital advertising is increasingly embedded within contemporary human–computer interaction (HCI) environments, where advertisements function not only as persuasive messages but also as structural elements of digital interfaces. Despite the rapid growth of online advertising, research examining how interface design influences advertising effectiveness remains fragmented across HCI, communication science, and marketing. This study synthesizes interdisciplinary research on how HCI-related interface variables affect visual advertising attention, avoidance, and persuasion outcomes. A systematic literature review following the PRISMA 2020 framework was conducted using four major databases: Web of Science, Scopus, PubMed, and the ACM Digital Library. The review covers peer-reviewed studies published between 2000 and 2025 that combine HCI methodologies—such as eye-tracking, usability evaluation, interaction logging, and user experience measurement—with advertising outcomes including attention, recall, persuasion, and avoidance. A total of 118 studies met the inclusion criteria and were analyzed using narrative synthesis. The findings indicate that advertising effectiveness is strongly shaped by interface-level variables including visual complexity, animation, interactivity, aesthetic congruence, and user task context. Visual attention operates through a dual-pathway mechanism in which bottom-up visual salience interacts with top-down goal-directed browsing behavior, explaining phenomena such as banner blindness. The review highlights the need for stronger theoretical integration between HCI and communication-based persuasion frameworks.