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All Journal Online Learning in Educational Research Information Technology Education Journal Indonesian Technology and Education Journal Artificial Intelligence in Lifelong and Life-Course Education Artificial Intelligence in Educational Decision Sciences Journal of Vocational, Informatics and Computer Education Journal of Applied Artificial Intelligence in Education Journal of Educational Studies in Science, Technology, Engineering, Arts and Humanities JESI : Journal of Engineering Service and Innovation
Putri Nirmala
Universitas Negeri Makassar
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Explaining AI Anxiety Among University Students: The Roles of Career Anxiety, Dehumanization, and Algorithmic Fairness Mustamin; Ahmad Syarif Hidayatullah; Putri Nirmala; Akhmad Affandi; Della Fadhilatunisa
Journal of Applied Artificial Intelligence in Education Vol 1, No 2 (2026): January 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/jaaie.v1i2.10

Abstract

Beyond its instructional benefits, AI in higher education can evoke anxiety when students perceive AI as diminishing human uniqueness, disrupting career trajectories, or operating in ways that feel difficult to evaluate or contest. This study aims to examine the effects of career anxiety, dehumanization, and perceived algorithmic fairness on students’ AI anxiety in the context of AI-supported learning. Using an explanatory quantitative survey design, data were collected from 70 university students who actively used AI-based learning tools, and the proposed relationships were tested using PLS-SEM. The results indicate that career anxiety positively predicts AI anxiety (β = 0.234, t = 1.691, p = 0.045) and dehumanization is the strongest predictor (β = 0.415, t = 2.958, p = 0.002), whereas perceived algorithmic fairness is not significant (β = 0.103, t = 0.740, p = 0.230), with the model explaining 48.2% of the variance in AI anxiety (R² = 0.482). These findings imply that AI anxiety is driven more by emotional and identity-related threats than by fairness evaluations, suggesting that institutions should adopt human-centered AI integration, strengthen AI literacy, and provide career-focused and psychological support to reduce student anxiety in AI-supported learning environments.
Social Environment and Internet Engagement as Predictors of Cyberbullying in Young People Herawati; Shalsa Nabila; Putri Nirmala; Ummul Khaeri Masna
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

Social media has become an important part of young people's lives, not only as a means of communication and entertainment, but also as a space for intense social interaction. The high intensity of internet use brings both positive opportunities and risks, one of which is cyberbullying which has a serious impact on mental health, such as anxiety and depression. This study aims to analyze the effect of internet usage intensity and social environment on cyberbullying tendencies in college students. The research method used a quantitative approach with a cross-sectional design. Data were obtained through a five-point Likert scale online questionnaire filled out by 83 respondents from various generations. Descriptive analysis showed that aspects of social media use were quite high, while direct experience of cyberbullying was relatively lower. Social environment support was moderate, but awareness of cyberbullying prevention was high. The findings indicate that the intensity of internet use potentially increases the risk of cyberbullying, but social environmental factors and digital awareness can serve as important protections. This research provides practical contributions in the form of recommendations for digital literacy, strengthening family support, and social media monitoring to create a safer digital ecosystem for the younger generation.
Application Development for Fasting and Worship Management Ramadan Using the Incremental Method: Kareem Daffa Fakhir; Nabila Al Buqari Jufri; Muh Akhlatul Ihsan; Putri Nirmala; Ummul Khaeri Masna
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

The development of Artificial Intelligence (AI) in education, especially in design teaching, offers great potential to improve students' creativity, reflection, and design thinking mindset. This study aims to evaluate the effect of AI integration in design-based learning on students' creative thinking ability, reflection, and design mindset. The study used quantitative methods with a cross-sectional design, involving 82 respondents from various departments in higher education institutions. The research instrument was a questionnaire covering aspects of creativity, reflection, and design mindset. The data analysis technique used descriptive analysis. The results showed that 59.76% of the respondents were 19 years old, and most (85.37%) were 3rd semester students. The use of AI in design-based learning was proven to increase student creativity with an average score of 3.66 on a scale of 5, strengthen reflection skills with an average of 3.63, and improve design thinking mindset with an average of 3.75. However, the results also revealed that AI is more effective as a supporting tool in the learning process rather than replacing direct interaction between students and educators. Therefore, AI can be integrated as a tool that supports creativity, but still requires the role of human guidance.
Co-Authors Ahmad Syarif Hidayatullah Akhmad Affandi Ana Sulistiana Alwi Andi Baso Kaswar Andi Baso Kaswar Andika Isma Daffa Fakhir Della Fadhilatunisa Dewelia Irien Pasa Dewi Fatmarani Surianto Fadhil Zil Ikram Hajar Dewantara Herawati Irwansyah Suwahyu Iwan Suhardi Kartika Ratna Sari Khalil Mubaraq Darwing M. Miftach Fakhri M. Miftach Fakhri M. Nurul Fajri Muh Akhlatul Ihsan Muh. Syarif Hidayatullah Muhammad Fajar B Muhammad Fardan Mustamin Mutmainnah Nabila Al Buqari Jufri Nailha Dinda Aprilia Nur Syafitra Ramadhani Nurrahmah Agusnaya Nurul Azizah Pramudya Asoka Syukur Rachmat Ramadhan Rachmawaty Kadir Rahmawati Rosidah Rosidah Ruslan Kadir Shalsa Nabila Shera Afidatunisa Soeharto Soeharto Taufik Bahtiar Ummul Khaeri Masna Yohana Rara Zsolt Lavicza