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All Journal Jurnal Pelita Pendidikan Jurnal Penelitian Pendidikan IPA (JPPIPA) Diklabio: Jurnal Pendidikan dan Pembelajaran Biologi JUDIKA (JURNAL PENDIDIKAN UNSIKA) JPPIPA (Jurnal Penelitian Pendidikan IPA) Bioeduca : Journal of Biology Education Jurnal Ilmiah Ilmu Terapan Universitas Jambi Indonesian Educational Administration and Leadership Journal (IDEAL) JUPEMA Biodik: Jurnal Ilmiah Pendidikan Biologi Asian Journal of Science Education Educational Leadership and Management Journal
Muhammad Yusuf
Universitas Jambi
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Social Sciences Other

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Modeling Actual Use Of Technology and Student Engagement in Biology Project‑Based Learning Using Artificial Neural Networks Sembiring, Dian Arisandy Eka Putra; Yusuf, Muhammad; Mardiyanti, Lely; Fauzan, Muhammad; Hendra, Robi
Indonesian Educational Administration and Leadership Journal (IDEAL) Vol. 7 No. 2 (2025): Indonesian Educational Administration and Leadership Journal
Publisher : Program Studi Adminsitrasi Pendidikan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ideal.v7i2.51335

Abstract

In higher education, especially science and biology, digital technology in project-based learning (PjBL) environments has improved student engagement and learning outcomes. technological, AI, and lecturer assistance have been studied in PjBL, but few have used Artificial Neural Networks (ANN) to analyze the complicated interactions between technological acceptance variables and student engagement. ANN is used to predict students' attitudes toward technology (ATT), intention to use technology (INT), actual use of technology in PjBL (AU-PjBL), and student engagement (SE) based on PEOU, PU, and Lecturer Support. Biology education students at Universitas Jambi completed a 35-item Likert-scale questionnaire. We created four ANN models: Model A (PU, PEOU → ATT), Model B (PU, ATT → INT), Model C (INT, LS → AU-PjBL), and Model D (AU-PjBL, LS → Each model was trained and tested using ten network configurations. Model performance was assessed using Root Mean Square Error (RMSE), and input variable relevance was determined via sensitivity analysis. All ANN models have low RMSE values for training and testing datasets, indicating good predicting accuracy. According to sensitivity analysis, PU predicts ATT better than PEOU, ATT predicts INT better than PU, INT predicts AU-PjBL better than LS, and AU-PjBL predicts SE better than LS. These data emphasize that students' perceived utility, positive attitudes, intention, and technology use drive biology PjBL involvement. The paper highlights ANN as a powerful analytical tool for modeling non-linear and interdependent relationships in technology-enhanced PjBL and gives practical implications for developing meaningful technology use and engagement learning environments. Keywords: Artifical neural network; actual use of technology; lecturer support; project-based learning; biology education.
Examining the Role of Digital Competence, Self-Efficacy, and Parental Support in Enhancing Students’ Performance in Sport Education Programs Indrayana, Boy; Khairunnisa, Fitri; Yusuf, Muhammad
Indonesian Educational Administration and Leadership Journal (IDEAL) Vol. 7 No. 2 (2025): Indonesian Educational Administration and Leadership Journal
Publisher : Program Studi Adminsitrasi Pendidikan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ideal.v7i2.52234

Abstract

Advancements in digital technology have reshaped learning across disciplines, including sport education. Yet, the success of digital integration depends not only on students’ technological skills but also on psychological and social factors such as self-efficacy and parental support. This study examines how digital competence, self-efficacy, parental support, and information evaluation strategies jointly affect students’ learning performance in sport education programs. A quantitative survey was conducted with 304 sport education students from Jambi University, Sriwijaya University, and Medan State University. Data were collected through a Likert-scale questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4.0.9.9. Reliability and validity were tested using composite reliability, AVE, and discriminant validity, while model predictive power was assessed through R² and Q² values. All hypothesized relationships were significant. Parental support had the strongest effect on self-efficacy (β = 0.756, p < 0.001) and digital competence (β = 0.746, p < 0.001), which subsequently enhanced information evaluation and learning outcomes (R² = 0.653; Q² > 0.30). Self-efficacy and digital competence also positively affected information evaluation and academic performance, emphasizing that parental motivation fosters confidence and digital readiness essential for effective sport learning. Students’ success in sport education depends on the synergy between technological proficiency, psychological empowerment, and family engagement. Strengthening digital competence alone is inadequate without developing self-efficacy and parental involvement. Hence, educators and policymakers should promote sport education programs that combine digital literacy, reflective thinking, and family collaboration to cultivate confident, adaptive, and high-performing learners in the digital era.  Keywords: Sport Education; Digital Competence; Self-Efficacy; Parental Support; Students’ Performance; Higher Education
Co-Authors A. Niduaza, Angela Agus Subagyo Ali Sadikin Anistia, Cahaya Aprillitzavivayarti, Aprillitzavivayarti Aulia, Aiza Miftahul Aulia, Ghea Ratu Boy Indrayana Denny Denmar Dian Arisandy Eka Putra Sembiring Gen Dekti Hansein Arif Wijaya Hendra, Robi Hestri, Zulfa Hidayati, Syaidah I Wayan Sumandya Ismayanti, Dea Try Jasmin, Fitri Jodion Siburian Khairunnisa, Fitri Lufri Lufri Muhammad Fauzan Muhammad Yusuf Mursyd, Danial Nainggolan, Cindi Nurlela Nasyariah Siregar Nur Azizah Prameswari, Tiara Indri Putri, Dea Amelia Dwi Rabiyatul Adawiyah Ramadhanti, Sri Rani, Yunita Cahya Safitri, Rahma Ayu Saidah Ahmad Sailana Mira Rangkuty Salsabilla, Opella Futri Saputri, Risma Nata Supian Tomi, Masvil Try Susanti Utama, Galuh Tulus Widana, I Wayan Yuliani, Adelia