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All Journal IRJE (Indonesian Research Journal in Education) COMPTON: Jurnal Ilmiah Pendidikan Fisika Jurnal Pembelajaran Sains Chemistry Education Practice Jurnal Ilmiah Profesi Pendidikan Jurnal AbdiMas Nusa Mandiri Journal of Tropical Chemistry Research and Education Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Journal of Science and Science Education (JoSSEd) Phydagogic : Jurnal Fisika dan Pembelajarannya Jurnal Pijar MIPA Al-Khidmah Jurnal Pengabdian Masyarakat Arfak Chem: Chemistry Education Journal Jurnal Ilmiah Ilmu Terapan Universitas Jambi Room of Civil Society Development Jurnal Pendidikan dan Pengabdian Masyarakat Education Journal: Journal Educational Research and Development Jurnal Inovasi dan Teknologi Pendidikan Saqbe : Jurnal Sains dan Pembelajarannya Room of Civil Social Development
QUDRATUDDARSI, HILMAN
Postgraduate Student, University Malaya, Kuala Lumpur, Malaysia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Neuroscience Physics Social Sciences Other

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Chatgpt Acceptance and Use For Generation Z Pre-Service Science Teacher: A Survey Study Adam, Wahyuni; Pratama, I Putu Yogi; Handika, Ilham; Qudratuddarsi, Hilman
Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Vol 6, No 4 (2025)
Publisher : Pusat Studi Penelitian dan Evaluasi Pembelajaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59698/afeksi.v6i4.497

Abstract

Over recent decades, AI in education has evolved into adaptive, personalized tools like ChatGPT. For Generation Z pre-service science teachers, ChatGPT supports lesson planning, reflection, and simulation. Using TPB and UTAUT2, this study explores factors influencing ChatGPT acceptance and use, offering insights to inform future teacher education programs. This study used a quantitative, cross-sectional survey design with 221 pre-service science teachers. Data were collected online using a validated instrument based on UTAUT and TPB constructs. Statistical analysis involved descriptive statistics, Pearson correlation, t-tests, and ANOVA to examine ChatGPT acceptance and use patterns. The study found that Generation Z pre-service science teachers generally hold neutral to slightly positive attitudes toward ChatGPT, recognizing its ease of use and potential benefits. However, social influence, habit formation, and actual usage remain weak. Descriptive and correlation analyses show that habit, facilitating conditions, and hedonic motivation are the strongest predictors of behavioral intention and use. These results suggest that institutional support and strategies to increase habitual and enjoyable use are key to enhancing ChatGPT adoption in educational settings.
Do Generation Z Pre-Service ESL Teachers Perceive Artificial Intelligence Negatively? Rasch Analysis Hasanuddin, Nurqadriyanti; Amalia, Dinda Firly; Ramadhan, Teuku Muhammad Hary; Qudratuddarsi, Hilman
Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Vol 6, No 4 (2025)
Publisher : Pusat Studi Penelitian dan Evaluasi Pembelajaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59698/afeksi.v6i4.502

Abstract

This study investigates the negative attitudes of pre-service English as a Second Language (ESL) teachers toward the integration of Artificial Intelligence (AI) in education. Using a quantitative cross-sectional survey design, data were collected from 363 undergraduate students enrolled in teacher education programs. The participants completed the Negative Attitudes Toward Artificial Intelligence (NATAI) scale which was validated through expert review. Rasch model analysis was employed to examine item fit, reliability, and unidimensionality. The instrument demonstrated high internal consistency (Cronbach’s Alpha = 0.84), strong person and item reliability (0.80 and 0.98, respectively), and solid construct validity. The Wright Map revealed a moderate to high concern among students, particularly about AI's emotional and ethical implications. Differential Item Functioning (DIF) analysis based on year of study and gender showed minimal variation across groups, with third-year students expressing slightly stronger ethical concerns. A one-way ANOVA and independent t-test confirmed no significant difference in attitudes based on the year of study, suggesting uniform skepticism across cohorts. These findings imply a need for teacher education curricula to address AI literacy and integrate balanced perspectives to prepare future educators for AI-enhanced classrooms.
The impact of chatgpt-assisted problem-based learning on students physics achievement and their chatgpt acceptance Saddia, Andi; Yanti, Meili; Qudratuddarsi, Hilman
COMPTON: Jurnal Ilmiah Pendidikan Fisika Vol 12 No 1 (2025): Compton: Jurnal Ilmiah Pendidikan Fisika
Publisher : Prodi Pendidikan Fisika Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/cjipf.v12i1.19852

Abstract

As a new technology, ChatGPT has been integrated into teaching and learning, but there is still a lack of studies on ChatGPT-assisted problem-based learning in physics. Therefore, this study investigates its integration in relation to students’ academic achievement and ChatGPT acceptance. This study used a quasi-experimental design with 65 students who divided into an experimental class and a control class. Data were collected via pre- and post-tests and analyzed using Rasch analysis, ANCOVA, t-test, and DIF, supported by validated instruments and expert review. The study found that students in the experimental group, who used ChatGPT-assisted Problem-Based Learning (PBL), showed significantly higher post-test scores in physics compared to the control group. Wright Map and DIF analyses revealed stronger performance on higher-order conceptual items among the experimental group. ANCOVA confirmed a large effect size (η² = 0.715) for the intervention. Rasch analysis of ChatGPT acceptance showed that the experimental group had higher agreement with most items, and independent t-tests indicated significantly greater acceptance across variables like attitude, habit, and behavioral intention. These findings support ChatGPT-assisted PBL as effective for both learning outcomes and technology acceptance.
Peningkatan Pemahaman Masyarakat melalui Sosialisasi Manajemen Kesehatan Ternak di Desa Tubo Tengah, Kabupaten Majene Suriansyah, Suriansyah; Septaningsih, Andi Citra; Qudratuddarsi, Hilman; Indriyanti, Nor; Kasmiati, Kasmiati; Nurman, Nurman; Rahmah, Nur
Room of Civil Society Development Vol. 4 No. 3 (2025): Room of Civil Society Development
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/rcsd.628

Abstract

Desa Tubo Tengah, Kecamatan Tubo Sendana, Kabupaten Majene, merupakan wilayah dengan mayoritas penduduk sebagai peternak sapi dan kambing. Minimnya pengetahuan peternak mengenai manajemen kesehatan ternak menyebabkan tingginya risiko penyakit dan rendahnya produktivitas. Kegiatan ini bertujuan untuk meningkatkan pemahaman peternak terkait biosekuriti, pengendalian penyakit, sanitasi kandang, serta manajemen pakan sehat. Sosialisasi dilaksanakan pada 14 Februari 2025 di Aula Desa Tubo Tengah, melibatkan 21 peternak. Metode yang digunakan meliputi ceramah interaktif dan diskusi partisipatif. Evaluasi dilakukan dengan pre-test dan post-test. Hasil menunjukkan peningkatan signifikan: skor rata-rata naik dari 2,24 menjadi 4,71 (+41,27%) dan tingkat kelulusan meningkat dari 23,81% menjadi 95,24%. Temuan menunjukkan lemahnya penerapan biosekuriti serta kurangnya pemahaman tentang risiko zoonosis. Direkomendasikan penguatan edukasi berkelanjutan, integrasi protokol biosekuriti dalam praktik harian, peningkatan kolaborasi dengan layanan kesehatan hewan, dan replikasi program di wilayah serupa. Strategi ini diharapkan dapat memperkuat ketahanan pangan berbasis masyarakat dan keberlanjutan sektor peternakan rakyat.
Analysis of the attitudes of generation z prospective science teachers toward the chemistry virtual laboratory Qudratuddarsi, Hilman; Rahmah, Nur; Indriyanti, Nor; Jumriani; Munawwarah
Arfak Chem: Chemistry Education Journal Vol. 8 No. 1 (2025): Arfak Chem
Publisher : Universitas Papua, Manokwari, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/accej.v8i1.922

Abstract

Virtual laboratories are technological innovations that allow users to conduct chemistry experiments interactively without space, time, or material constraints. This study aims to analyze the attitudes of Generation Z prospective science teachers toward using virtual laboratories in chemistry learning by integrating the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). A quantitative survey method was applied, involving 83 student respondents. The instrument was a questionnaire that measured performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit, attitude, perceived behavioral control, and behavioral intention. The findings revealed a significant positive correlation between all independent variables, behavioral intention, and virtual laboratory usage. Habit and perceived behavioral control emerged as the most influential factors. This study provides valuable insights for developing strategies to integrate virtual laboratories into science teacher education based on Generation Z’s technological preferences.
Validation of Pre-Service Science Teacher Artificial Intelligence Competence Self-Efficacy (AICS): Rasch Model Analysis Adam, Wahyuni; Qudratuddarsi, Hilman; Ningthias, Dyah Puspitasari; Rahmadhani, Aulia; Noviana, Evy
Jurnal Ilmiah Profesi Pendidikan Vol. 10 No. 2 (2025): Mei
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v10i2.3662

Abstract

Artificial Intelligence (AI) is transforming science education through virtual labs, intelligent tutoring, and adaptive assessments. However, pre-service teachers often lack formal training in AI integration. This study aims to validated the Artificial Intelligence Competence Self-Efficacy (AICS) instrument using Rasch model, covering AI knowledge (AIK), AI Pedagogy (AIP), AI Assessment (AIA), AI Ethics (AIE), Human-Centred Education (HCE), and Professional Engagement (PEN). This study used a quantitative survey with 338 third-year pre-service science teachers selected through convenience sampling. Data were collected via Google Forms where ethical considerations and back-translation ensured data integrity. Data were analyzed through reliability, separation, item fit statistics, unidimensionality and Differential Item Functioning (DIF). The findings indicate that the AICS instrument is psychometrically sound, with high reliability (person reliability = 0.94, item reliability = 0.95) and excellent separation indices. The Wright Map showed that item difficulty was well-aligned with participant ability, effectively capturing various levels of AI self-efficacy. Item fit statistics confirmed all items functioned within acceptable ranges, and unidimensionality analysis supported the measurement of a single, coherent construct. DIF analysis showed minimal gender bias, though one item (AIP1) favored males. Overall, the instrument is valid and reliable for being used to assess AI competence self-efficacy among pre-service science teachers.
UTILIZING RASCH MODEL AS NOVEL ANALYSIS OF STUDENTS’ CRITICAL THINKING IN PHYSICS Qudratuddarsi, Hilman; Jumriani, Jumriani; Yanti, Meili; Ramadhana, Nurhikma; Dewi, Hefi Rusnita
Jurnal Pembelajaran Sains Vol 9, No 1 (2025)
Publisher : Prodi Pendidikan IPA FMIPA Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um033v9i1p%p

Abstract

There are numerous reported studies to find the best way of teaching physics, but their quantitative analysis merely depends on some inferential statistics comprising ANCOVA, t-test etc. Those analysis do not generate detailed information of student’s abilities, therefore this study analyze the effects of double-loop problem solving teaching methods towards student’s critical thinking using Rasch analysis. In this study, the samples were divided into experimental group and control group with 28 students and 25 students respectively. After the intervention, their critical thinking was measured using instrument that has been validated and pilot tested using Rasch analysis by considering their reliability, item fit statistics, and unidimensionality. After data analysis, based on person measure, it was found that there is statistically significant post-test logit score between experiment and control class with pre-test as covariate, p value
SOSIALISASI PENTINGNYA PENDIDIKAN TINGGI SEBAGAI IMPLEMENTASI PASAL 31 AYAT 1 UUD 1945 DI SMP YATRIMAS Makiin, Inda Dzil Arsyi; Salima, Luthfia Qolbi; Qudratuddarsi, Hilman; Putri, Thyrafi Amelia
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 2 (2025): Periode Oktober 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i2.6339

Abstract

The interest of the Indonesian people in continuing their education to higher education levels is still relatively low, at only 6.68% of the total population of Indonesia (18.7/280 million people). Lampung is one of the provinces facing this issue, with data from 2023 showing that 77.36% of high school graduates in Lampung Province do not continue their education to higher education levels. Ringin Jaya Village is one of many villages in Lampung Province where students have a low interest in continuing their education to higher education levels. The main factors causing this are the limited number of schools, the family's economic conditions, and the lack of understanding regarding the importance of higher education. However, the 1945 Constitution of the Republic of Indonesia Article 31 Paragraph 1 mandates that "every citizen has the right to education." Therefore, based on these issues and mandates, the implementation of community service in the form of socializing the importance of continuing higher education is a service program that needs to be carried out. This socialization aims to provide students with an understanding of the importance of continuing higher education, including the various benefits they will gain by pursuing higher education. In addition, this socialization also provides information about scholarship opportunities that can help them reduce the costs of higher education. Through this service, it is hoped that students can be motivated to continue their education to higher education levels. The results of the community service show an increase in students' knowledge about the benefits and importance of continuing higher education. This increase in knowledge helps them to enhance their motivation to continue their education up to the higher education level. The interest of the Indonesian people in continuing their education to higher education levels is still relatively low, at only 6.68% of the total population of Indonesia (18.7/280 million people). Lampung is one of the provinces facing this issue, with data from 2023 showing that 77.36% of high school graduates in Lampung Province do not continue their education to higher education levels. Ringin Jaya Village is one of many villages in Lampung Province where students have a low interest in continuing their education to higher education levels. The main factors causing this are the limited number of schools, the family's economic conditions, and the lack of understanding regarding the importance of higher education. However, the 1945 Constitution of the Republic of Indonesia Article 31 Paragraph 1 mandates that "every citizen has the right to education." Therefore, based on these issues and mandates, the implementation of community service in the form of socializing the importance of continuing higher education is a service program that needs to be carried out. This socialization aims to provide students with an understanding of the importance of continuing higher education, including the various benefits they will gain by pursuing higher education. In addition, this socialization also provides information about scholarship opportunities that can help them reduce the costs of higher education. Through this service, it is hoped that students can be motivated to continue their education to higher education levels. The results of the community service show an increase in students' knowledge about the benefits and importance of continuing higher education. This increase in knowledge helps them to enhance their motivation to continue their education up to the higher education level.
Generation Z Pre-service Science Teacher Artificial Intelligence Competence Self-Efficacy (AICS): A Survey Study Adam, Wahyuni; Qudratuddarsi, Hilman; Tari, Suci Rizkina; Putri, Eka Pravitasari
Saqbe: Jurnal Sains dan Pembelajarannya Vol 1 No 2 (2024): Saqbe : Sains dan Pembelalajarannya (Oktober 2024)
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak Penelitian ini mengkaji hubungan antar enam sub-konstruk (AI Knowledge (AIK), AI Pedagogy (AIP), AI Assessment (AIA), AI Ethics (AIE), Human-Centred Education (HCE), and Professional Engagement (PEN)? dari Artificial Intelligence Competence Self-Efficacy (AICS). Selain itu, penelitian ini juga mengeksplorasi pengaruh gender dan spesialisasi (kimia, fisika, biologi, dan sains) terhadap AICS. Penelitian ini menggunakan metode survei kuantitatif untuk menilai AICS pada 318 mahasiswa calon guru sains. Data dikumpulkan menggunakan instrumen yang telah divalidasi dan disesuaikan, mencakup enam sub-konstruk terkait AI. Analisis data dilakukan menggunakan SPSS versi 25, meliputi analisis korelasi, perbandingan gender dengan uji t independen, dan perbedaan spesialisasi menggunakan uji ANOVA satu arah dengan uji lanjutan LSD. Hasil deskriptif dan korelasi menunjukkan bahwa AI Knowledge dan AI Assessment adalah area yang paling dikuasai oleh peserta, dengan hubungan positif yang kuat di seluruh sub-konstruk. Perbandingan berdasarkan gender menunjukkan tidak ada perbedaan signifikan, yang mengindikasikan tingkat self-efficacy AI yang seimbang antara peserta laki-laki dan perempuan. Namun, analisis berdasarkan spesialisasi menunjukkan perbedaan signifikan pada AI Pedagogy dan AI Assessment, di mana mahasiswa jurusan Pendidikan Kimia dan Pendidikan Fisika menunjukkan kepercayaan diri yang lebih tinggi dibandingkan dengan jurusan pendidikan sains. Temuan ini menegaskan pentingnya pengembangan program pelatihan AI yang disesuaikan, spesifik sesuai disiplin ilmu, dan inklusif dalam pendidikan calon guru.
ChatGPT Acceptance and Use by Generation Z Pre-service Mathematics Teachers Lestari, Yusfa; Tari, Suci Rizkina; Ramadhani, Widya Putri; Qudratuddarsi, Hilman
Jurnal Inovasi dan Teknologi Pendidikan Vol. 3 No. 3 (2025): Jurnal Inovasi dan Teknologi Pendidikan
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jurinotep.v3i3.141

Abstract

In today’s digital era, educational technology—particularly AI tools like ChatGPT—offers innovative solutions to enhance mathematics education. This study explores how Gen-Z pre-service mathematics teachers accept and use ChatGPT, guided by TPB and UTAUT2 frameworks, while also examining the roles of gender and year of study in shaping their behavior. This quantitative study used a cross-sectional survey with 157 Gen-Z pre-service mathematics teachers, selected via convenience sampling. Data were gathered using a validated questionnaire based on UTAUT, showing high reliability (α = 0.97). Analysis involved descriptive statistics, Pearson correlation, t-tests, and ANOVA to examine ChatGPT acceptance and use by gender and year of study. Descriptive statistics confirmed normal distribution, supporting parametric tests. Pearson coefficients revealed strong, significant correlations between behavioral intention and variables like social influence (r = 0.785) and perceived behavioral control (r = 0.777). Actual ChatGPT use was most correlated with perceived behavioral control (r = 0.784) and attitude (r = 0.738). All predictors, including performance expectancy, effort expectancy, and hedonic motivation, showed positive, significant relationships, supporting the relevance of UTAUT 2 and TPB frameworks in explaining ChatGPT adoption in educational contexts.
Co-Authors A, Fauziah Adam, Wahyuni Agung, Afiq Amalia, Dinda Firly Aulia Rahmadhani Cinthami, Ratih Dhamayyana Dwi Dewi, Hefi Rusnita Dyah Puspitasari Ningthias Hasanuddin, Nurqadriyanti Hebriawan, Aco HUTKEMRI HUTKEMRI Ilham Handika imami, Muh Khairul Wajedi Indayanti Ismail, Ayu Jumriani Jumriani, Jumriani Kasmiati Kasmiati Kasmiati Liu, Sibo Makiin, Inda Dzil Arsyi Mappata, Rahmah D Mappata, Rahmah D. Meili Yanti Meivawati, Eli Mohd Saad, Mohd Rashid Munawwarah Munawwarah, Munawwarah Ningthias, Dyah Puspitasari Ningthias, Dyah Pusptasari Nor Indriyanti Noviana, Evy Nur Intan, Nur Nur Rahmah Nurhikma Ramadhana Nurman Nurman Pratama, I Putu Yogi Putra, Ammar Ahadi Putri, Eka Pravitasari Putri, Thyrafi Amelia R. Rahmawati Ramadhan, Teuku Muhammad Hary RENUKA V SATHASIVAM RR. Ella Evrita Hestiandari Saddia, Andi Salima, Luthfia Qolbi Saprizal Hadisaputra Septaningsih, Andi Citra Suriansyah, Suriansyah Syarifa Wahidah Al Idrus Tari, Suci Rizkina Umar Widya Putri Ramadhani Yusfa Lestari