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Micro-Hydro Power Plants (MHPP): Technical and analytical studies in creating experimental learning media for physics students Zuffa Anisa; Anggun Apprianda; Herta Novianto; Indriyani Rachman
Momentum: Physics Education Journal Vol 5 No 1 (2021)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v5i1.4876

Abstract

Nowadays, direct media use in learning energy is rarely found. Therefore, the authors intended to design a mini micro-hydro power plant (MHPP) in order to give direct experiences to students. This study generally aims to develop a mini MHPP consisting of equipment design, component selection, and the MHPP assembly. A test on discharge, heights, and produced power is then conducted. The data acquired are then analyzed in terms of either Pteotirik or Preal power using a predetermined equation. An analysis to the factors influencing the P values is then carried out. The power input of resulted from the water discharge management is 35.64 mW, while that of the power output is 9,61 mW. The efficiency of the MHPP set is by 26.96% which is considered quite low due to such factors as turbine blades, penstock pipes, generators, and the shift from water potential energy to other types of energies which is inevitable. It is expected that the developed mini MHPP is applicable as practicum learning media giving a lot of such learning experiences to students as to identify how hydroelectric power plant is, how the water energy shifts into electric energy, how high the electricity produced is, and to analyze factors influencing how high and low the electricity produced by a power plant.
The implementation of RADEC learning model in thematic learning to increase the concept understanding of electrical phenomenon Wati Rohmawatiningsih; Indriyani Rachman; Kodama Yayoi
Momentum: Physics Education Journal Vol 5 No 2 (2021)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v5i2.5412

Abstract

This research is motivated by the large number of elementary school classrooms that do not offer quality science experiences to students so that it has an impact on students' low understanding of the science concept. The RADEC (Read-Answer-Discuss-Explain And Create) learning model seems suitable for increasing students' understanding of science concepts. This learning model has scientific stages that encourage the cons-truction of students' knowledge. This study aims to analyze the increased understanding of the concept of electrical phenomena through the application of the RADEC learning model. The study involved twenty-eight grade 5 students in the 2019-2020 academic year. Quasi-experimental method with one-group pretest-postest design was used in this study. To find out the understanding of students' concepts about electrical phenomena, tests were carried out before and after the implementation. This study uses descriptive analysis to analyze data collected before and after implementation. From the results of the analysis, it is known that students' understanding of the concept of electrical phenomena after the implementation of the RADEC learning model is higher than before. Thus, it can be concluded that the application of the RADEC learning model can improve students' conceptual understanding of electrical phenomena.
Conditional Effects of Generative AI on Metacognitive Learning Martahani; Rita Retnowati; Surti Kurniasih; Romi Suarti; Indriyani Rachman
Jurnal PAJAR (Pendidikan dan Pengajaran) Vol. 10 No. 4 (2026): July
Publisher : Laboratorium Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/pjr.v10i4.1656

Abstract

Generative artificial intelligence (GenAI) has been rapidly adopted in education, yet its impact on students' metacognitive learning remains poorly understood. Most existing reviews focus broadly on learning outcomes or technology acceptance, neglecting specific metacognitive processes, planning, monitoring, evaluation, and reflection that underpin self-regulated learning. This systematic review synthesizes empirical evidence on how GenAI influences metacognitive learning, which pedagogical approaches support it, and the risks that emerge. Following PRISMA 2020 guidelines, a systematic search of Scopus, ERIC, and Google Scholar identified 12 empirical studies published between 2020 and 2026. The findings reveal that GenAI's effect on metacognition is fundamentally conditional: structured scaffolding improves self-regulation, whereas unrestricted use leads to metacognitive laziness, cognitive offloading, and a decline in self-regulation. Four effective pedagogical approaches were identified: metacognitive prompting, guided inquiry with scaffolding, reflective journaling, and feedback literacy instruction. Significant risks include passive acceptance of AI answers, illusion of competence, and unequal benefits for students with weaker feedback literacy. This review presents a Conditional Metacognitive Support framework to guide GenAI integration. For educators, effective implementation requires structured prompts, reflective activities, and explicit feedback literacy instruction.
Co-Authors Ade Gafar Abdullah, Ade Gafar Akrim, Djusdil Al Fariz, Reza Darma Al Fariz, Reza Dharma Anggraini, Nani Anggun Apprianda Anna Permanasari Aqilah, Siti Aquarini Priyatna Asyifa Imanda Septiana Bibin Rubini Cintami, Cincin D Prasetyorini Dadang Jaenudin Dahlia, Karlina Puspa Dedi Abdul Hadi Deni Darmawan Deni Kurniawan, Deni Didit Ardianto Fariz, Reza Darma Al Fumitoshi, Murae Ghina Nisrina Ramadhanti Hafizhul Khair Hapipah, Hepi Herta Novianto Hestiningtyas Yuli Pratiwi Hutagalung, Ira Ida Hamidah Iga Yusmaidah Siregar Indarini Dwi Pursitasari Ira Rumiris Hutagalung Ira Rumiris Hutagalung Ira Rumiris Hutagalung Irfan Tawakkal Irvan Permana Kodama Yayoi Kodama Yayoi Kodama, Yayoi Kristanti Diana Malo Kuntarti Suhartini Kurniasih, Surti Kusnendar, Jajang Laksmi Dewi, Laksmi Lestari, Suci Putri Marlida, Siti Martahani Matsumoto Toru Matsumoto Toru Matsumoto, Toru Mega Subekti Muarif, Samsul Muhammad Ma‘arij Harfadli Muhammad Nizar Maulana Nizar Muhammad Nur Hudha Muharram, Luthfia Hastiani Mulyadi, Dadi Murae, Fumitoshi Nia Komalasari Nursafitri, Siti Permanasari*, Anna Pertiwi, Wulan Qiyam Maulana Binu Soesanto Radde, Hasniar A. Rahayu, Ida Rahayu, Mutia Sri Ramadhanti, Ghina Nisrina Ramdiana Rita Retnowati Romi Suarti Rubini*, Bibin Rusman Rusman Safitri, Tiffany Saldiana, Nur Kamila Santuso, Edy Sattar Yunus Slamet Raharjo Soesanto, Qiyam Maulana Binu Sugimaru, Chika Suriansyah, Muhammad Iqbal Surti Kurniasih Syaban, Mumun Tawakkal, Irfan Toru Matsumono Toru Matsumoto Toru Matsumoto Toru Matsumoto Toru Matsumoto Utomo, Laksamana Rayhan Wafa, Wafa Warliyah, Heli Wati Rohawatiningsih Wati Rohmawatiningsih Wati Rohmawatiningsih Yayoi Kodama Yayoi, Kodama Yustiani, Yonik Meilawati