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Deep Learning and Inquiry Approach for Enhancing Learning Outcomes of College Students Mochamad Muchson; Irawan Hadi Wiranata; M Anas; Rr Forijati; Hariyono Hariyono; Herdian Tria Wulan Sari; Surya Ayu Azizah
Journal Evaluation in Education (JEE) Vol 7 No 2 (2026): April
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v7i2.2644

Abstract

Purpose of the study: This study examines the effect of integrating Inquiry-based learning with a pedagogical Deep Learning approach on students’ learning outcomes in a Learning Planning course. Methodology: Employing a one-group pretest–posttest quantitative design, the study involved N = 50 undergraduate students from two teacher education institutions in East Java, Indonesia, involving Economics Education students from Universitas Nusantara PGRI Kediri and Universitas PGRI Mpu Sindok Nganjuk. The instructional intervention emphasized Inquiry activities aligned with Deep Learning principles mindful, meaningful, and joyful learning. Main Findings: Data were collected using a validated learning outcomes test administered before and after the intervention and analyzed through paired-sample t-tests. The findings indicate a statistically significant improvement in students’ learning outcomes, with mean scores increasing from 73.40 (pretest) to 84.80 (posttest), yielding an average gain of 11.4 points (p < 0.05). Novelty/Originality of this study: These results suggest that the integration of Inquiry-based learning and Deep Learning principles holds potential for enhancing pedagogical competence in Learning Planning courses within teacher education programs.
Optimalisasi Pemasaran Digital untuk Pengembangan UMKM pada Pedagang Pukis Banyumas Rosita di Kota Kediri Hariyono Hariyono; M. Anas M. Anas; Muchamad Muchson; Forijati Forijati
Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026): Mei 2026
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/kontribusi.v6i2.826

Abstract

Latar Belakang: Transformasi digital merupakan kebutuhan mendesak bagi pelaku Usaha Mikro Kecil dan Menengah (UMKM) untuk beradaptasi dengan dinamika pasar modern yang semakin kompetitif. UMKM Pukis Banyumas “Rosita” di Kota Kediri menghadapi kendala dalam strategi pemasaran digital akibat keterbatasan keterampilan pembuatan konten dan belum optimalnya pemanfaatan media sosial serta marketplace. Tujuan: meningkatkan kemampuan mitra dalam menciptakan konten promosi digital yang menarik dan mengoptimalkan penggunaan platform digital guna memperluas jangkauan pasar. Metode: pelatihan terbimbing dan pendampingan intensif berbasis praktik langsung yang melibatkan tahapan persiapan, pelatihan, implementasi, serta evaluasi. Hasil: menunjukkan bahwa mitra mampu membuat desain promosi profesional menggunakan aplikasi digital, mengelola akun media sosial bisnis secara mandiri, serta membuka toko daring di marketplace. Kesimpulan: Temuan PKM ini adalah peningkatan signifikan pada kapasitas pemasaran digital mitra, yang berdampak langsung pada peningkatan penjualan produk dan citra merek. Program ini membuktikan bahwa pendekatan berbasis praktik dan pendampingan berkelanjutan sangat efektif dalam memberdayakan UMKM menuju transformasi digital yang berkelanjutan.
Implementation of Artificial Intelligence–Integrated Project-Based Learning to Enhance Digital Entrepreneurship Literacy and Student Engagement in Economics Education hariyono hariyono; Umi Hidayati; Suharto
Indonesian Journal of Educational Science (IJES) Vol. 8 No. 1 (2026): Indonesian Journal of Educational Science (IJES)
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/ijes.v8i1.6047

Abstract

The rapid advancement of digital technology and artificial intelligence (AI) has significantly influenced higher education practices, demanding innovative pedagogical models that foster students’ digital competence, creativity, and engagement. This study aimed to analyze the effectiveness of an artificial intelligence (AI)-integrated project-based learning (PjBL) model in improving digital entrepreneurship literacy (DEL) and learning engagement (LE) among students in economics education. This study employed a two-cycle classroom action research design involving 28 third-semester students enrolled in the Microeconomics course at Universitas Nusantara PGRI Kediri. Data were collected using six instruments: the Digital Entrepreneurship Literacy Scale, the Learning Engagement Scale, the project rubric, the observation sheet, the digital activity log, and reflective interviews. Quantitative analyses included paired-samples t-tests, N-gain, and Pearson correlations, while qualitative data were analyzed thematically. The results showed a significant improvement in both DEL and LE following implementation of the AI-integrated PjBL model. The mean DEL score increased from 76.04 to 102.96 (n-gain = 0.623; p < 0.001), and the mean LE score increased from 60.75 to 79.75 (n-gain = 0.661; p < 0.001). Observations and digital activity logs revealed higher behavioral and cognitive engagement during the learning process. Qualitative findings indicated that students utilized AI tools such as ChatGPT, Google Sheets AI, Gemini, and Canva AI for market research, price elasticity simulations, and digital content design in creative and ethical ways. The study concludes that integrating AI into the PjBL framework effectively enhances students’ digital entrepreneurship literacy, fosters reflective engagement, and supports the development of adaptive, ethical, and innovative learners in economic education.