Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Al-Hijr: Journal of Adulearn World Journal of Loomingulisus ja Innovatsioon
Pahmi Pahmi
Universitas Islam Batang Hari
Religion Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Development of a Project-Based Design Learning Model to Increase Student Creativity Ika Yuniwati; Haziq Idris; Sri Dewi Lisnawaty; Pahmi Pahmi
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i1.1986

Abstract

The development of creativity is crucial in design education, as it fosters innovative thinking and problem-solving skills essential for success in creative industries. This study addresses this gap by developing a project-based design learning model to enhance student creativity. By incorporating real-world design projects into the curriculum, students are encouraged to apply their knowledge in practical settings, fostering critical thinking and creative exploration. The primary aim of this research is to develop and evaluate a project-based learning model that increases student creativity in design education. The research follows a design-based methodology, implementing the model in a classroom setting and assessing its impact on student creativity. Data were collected through pre- and post-assessments of creativity, student surveys, and interviews with both students and instructors. The findings show that the project-based learning model significantly improved students' creativity. Students exhibited enhanced problem-solving abilities, innovative thinking, and a stronger capacity for collaboration. Moreover, the hands-on approach encouraged deeper engagement with design concepts and promoted an increased sense of ownership over their learning process. In conclusion, the project-based design learning model proved to be an effective strategy for fostering creativity in design students.
TRANSFORMING TRADITIONAL TEACHING MODELS WITH ARTIFICIAL INTELLIGENCE: INNOVATIONS IN EDUCATION Pahmi Pahmi; Nour Ibrahim; Rukmana Fachrul Islam
Al-Hijr: Journal of Adulearn World Vol. 5 No. 1 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i1.1212

Abstract

The rigidity of traditional standardized education often fails to address the diverse cognitive needs of modern learners, necessitating a paradigm shift toward more adaptive instructional models. This study investigates the transformative potential of integrating Artificial Intelligence (AI) into secondary curricula to facilitate the transition from mass instruction to personalized pedagogy. Utilizing a mixed-methods quasi-experimental design, we evaluated the academic and operational impact of an AI-driven adaptive learning framework on a cohort of 600 students and 30 educators over a twelve-week intervention. The research benchmarked an AI-augmented experimental group against a control group receiving traditional direct instruction using standardized assessments and telemetry data. Empirical results demonstrate that the AI-integrated model yielded a statistically significant 11.4% increase in concept mastery (p<0.001) and substantially compressed the achievement gap within the classroom. Furthermore, the automation of administrative tasks reclaimed five hours of weekly instructor time, facilitating a strategic redistribution of labor toward high-value mentorship. We conclude that AI acts as a critical force multiplier that does not replace the teacher but fundamentally restructures the instructional core, validating a “Symbiotic Intelligence” approach that couples machine efficiency with human empathy to optimize educational outcomes.
Co-Authors Haziq Idris Ika Yuniwati, Ika Islam, Rukmana Fachrul Nour Ibrahim Sri Dewi Lisnawaty