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Augmented Reality in Vocational Education : Trend, Acquired Skills, and Future Work Ramadhan, Muhammad Oka; Rohendi, Dedi; Handayani, Mustika Nuramalia; Abdullah, Ade Gaffar; Koehler, Thomas
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 4 (2024): December
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.12875

Abstract

This study aims to explore the role of Augmented Reality (AR) in enhancing practical skills within vocational education, particularly in response to the evolving needs of the educational sector. Through a bibliometric analysis and comprehensive literature review, this research examines trends in AR research from 2003 to 2023. The study focuses on publication growth, citation impact, research focus, and subject area. The research method used includes bibliometric analysis and systematic literature review, with data visualized through tools like VOSviewer and Tableau. Data were collected from various academic databases, examining the distribution of publications, research impact, and citation patterns over the years. Data were analyzed using quantitative and cluster analysis to categorize research trends into six clusters: industrial architecture, biomedical surgery, product development, learning methods, AR's positive impact, and acquired skills. The study results showed that AR has a positive impact on several skill sets but may occasionally hinder others. The research also reveals that while AR applications are gaining momentum, certain areas such as Agricultural and Biological Sciences, Economics, and Nursing remain largely unexplored. This review highlights the importance of advancing AR in untouched fields and emphasizes the need for further investigation into the systematic assessment of skills acquired through AR, making this study vital for educational technology, vocational instructors, and institutions aiming to implement AR technologies effectively.
Strategi Penerapan Deep Learning di SMK Swasta: Deep Learning Implementation Strategy in Private Vocational Schools Sumardi, Kamin; Setiawan, Agus; Rohendi, Dedi
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 11 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i11.10285

Abstract

Deep learning is a policy currently being implemented in primary and secondary education, as well as in vocational schools. The implementation of deep learning in learning in vocational schools requires an exceptional understanding for teachers. This training aims to gather data and facts about the knowledge, experience, and implementation of deep learning among private vocational school teachers. The method employed is in-house training, utilizing a participatory and collaborative approach. The training was held at LPS Ciamis Private Vocational School. The training participants were 40 private vocational school teachers. The instrument used was a questionnaire using Google Forms. The results of the training showed that an average of 68% of private vocational school teachers already had a deep understanding of learning. As many as 15.8% of private vocational school teachers are familiar with the basic concept of deep learning. This knowledge was obtained from social media, friends, and the web, to the extent of 31.6%, 26.3%, respectively. As many as 89.5% of private vocational school teachers agreed that deep learning can improve the quality of learning. The teachers already have a high degree of understanding of the purpose of implementing deep learning in vocational schools, with approximately 98% understanding. 47.4% of private vocational school teachers are ready to implement deep learning, while 47.4% of private vocational school teachers are not ready to implement deep learning. Thus, deep learning still requires intensive socialization and training so that vocational school teachers can implement deep learning into the subjects they teach.
Co-Authors ACHEAMPONG, KENNEDY Addy Rachmat Ade Gafar Abdullah, Ade Gafar Ade Gaffar Abdullah, Ade Gaffar Adelia, Ory Adhiyanti, Nurmalina Agus Setiawan Aldes Lesbani Amelia, Icha Ana Arrumaisha, Nissa Asep Yudi Permana Assaidah, Assaidah Barlin Barlin Bijak Riyandi Ahadito Budhi Setiawan Budi Mulyanti Budiman, Rahmadi Dedy Suryadi Dewi, Claudia Edy Herianto Majlan, Edy Herianto Eka Daryanto, Eka Fakhili Gulo Fatma Fatma Fatmawati Fatmawati Fauzan, Mochamad Patra Bani Fauzan, Mochamad Rizal Felicity, Felicity Firanda, Dera Okta Gigin Gantini Putri Hanapi, Zaliza Hanissa Okitasari Hanissa Okitasari Hary Widjajanti Heri Sutarno Hikmawan, Rizki Indriana Sari Soleha Iskandar, Naufal Nadhif Rabbani Iwa Kuntadi Jefri Jefri Kamin Sumardi Kamin Sumardi Koehler, Thomas Larutama, Wiku Menik Setyowati Mokhamad Syaom Barliana Muhammad Adli Rizqulloh Muhammad Dzulfikar A Muhammad Faizal MUHAMMAD SAID Muhammad Said Muktiarni Mustika Nuramalia Handayani Nirwan Syarif Nirwan Syarif, Nirwan Normah Normah, Normah Nugraha, Agri Triya Oduro-Okyireh, George Oduro-Okyireh, Theodore Permana, Muhammad Aditya Poedji Loekitowati Hariani Pramudita, Resa Purnawan Purnawan Rahmah, Dea Ramadhan, Muhammad Oka Rasim, R Ria Komala Risfidian Mohadi Roer Eka Pawinanto, Roer Eka Salni Saripudin Saripudin Septiadi, Jaka Shandyka, Muhammad Fajar Siregar, Batu Mahadi Sri Haryati Steven Julianto Situmeang Suamrdi, Kamin Subarna, Bambang Sudarsono, Wulandari Sya'baniah, Nyimas Sya'baniah, Nyimas Syabaniah, Nyimas Febrika Syahputra, Rio Aldo Syarif, Nirwan Syarif, Nirwan Syarif, Nirwan Syarif, Nirwan Sya’baniah, Nyimas Febrika Tarmizi Taher Tri Kurnia Dewi Utama, Muhammad Prima Wong, Wai Yulianti, Dwi Yulianti, Dwi Hawa Yulinar Adnan Zainal Fanani