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Analisis Program Goes to Campus dengan Goal Oriented Evaluation Model (GOEM) dalam Menumbuhkan Minat Siswa Kelas 11 SMA Al Basyariah Hesti Kusumangingrum; Cinta Pradana Putri; Aziza Sulistyawati; Bevan Multazam Pramudito; Davin Rofiul Hidayah; Maura Karisma Tiar
Student Scientific Creativity Journal Vol. 3 No. 1 (2025): Student Scientific Creativity Journal
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/sscj-amik.v3i1.5014

Abstract

The Goes to Campus program is a program that provides insight into various aspects of campus life, such as available study programs, academic environment, career prospects, and direct experience of the lecture atmosphere to students. The purpose of the evaluator's role is to transmit the Goes to Campus program to the effectiveness of school programs using the Goal Oriented Evaluation Model (GOEM), which focuses on achieving program objectives. The results of the study indicate that this program is relevant and has a positive impact on students' understanding of the world of lectures. The implication of this study is the need to develop similar programs with adjustments to student needs and the implementation of more mature strategies.
Analisis Efektivitas Implementasi Kebijakan Deep Learning di Sekolah Tri Ariqoh Kholisah; Hamnah Rofiqoh; Aesha Najwa Alia; Bevan Multazam Pramudito; Suhardi Suhardi
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 5 No. 3 (2025): September : Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v5i3.7322

Abstract

This study aims to analyze the effectiveness of implementing a deep learning approach in educational policy in Indonesia, specifically at the elementary school level. Using descriptive qualitative methods and literature study, this research reviews various scientific sources and educational policies from the last five years. The results indicate that deep learning has great potential in improving the quality of learning through three main components: meaningful learning, mindful learning, and joyful learning. These three aspects positively impact students' cognitive, affective, and social engagement. Data from schools implementing the School Driving program indicate significant improvements in students' critical thinking, collaborative skills, and motivation to learn. However, the effectiveness of the policy still faces challenges in the form of teacher readiness, infrastructure, and authentic learning assessment. Therefore, the success of deep learning implementation requires systemic support in the form of teacher training, integrated policies, and comprehensive evaluation instruments.