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All Journal International Journal of Evaluation and Research in Education (IJERE) Cakrawala Pendidikan Paradigma : Journal of Science, Religion and Culture Studies Jurnal JSIKA Jurnal Ilmiah Mahasiswa FEB AKSIOMA: Jurnal Program Studi Pendidikan Matematika The International Journal of Accounting and Business Society Jurnal Bina Praja Jurnal Tata Kelola dan Akuntabilitas Keuangan Negara IRJE (Indonesian Research Journal in Education) Assets: Jurnal Akuntansi dan Pendidikan Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Jurnal Pengabdian UNDIKMA Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Abdimas Bina Bangsa Empiricism Journal Jurnal Sistem Informasi Universitas Dinamika Jurnal Management Risiko dan Keuangan Eduvest - Journal of Universal Studies Reviu Akuntansi, Keuangan, dan Sistem Informasi Telaah Ilmiah Akuntansi dan Perpajakan (TIARA)
Bambang Hariadi
Universitas Dinamika
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Other

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Exploring Online Evaluation Development : A Bibliometric Approach M.J. Dewiyani Sunarto; Bambang Hariadi; Edo Yonatan Koentjoro; Pradita Maulidya Effendi; Julianto Lemantara; Erwin Soetomo
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 9, No 3 (2023): September
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v9i3.8775

Abstract

This study aims to explore the growth of online evaluation to give a comprehensive overview and identify research in the trending field and recommendations for further research that can be developed. This study used a bibliometric approach with descriptive methods from documents in the last ten years of the Scopus database. Quantitative and qualitative analyses were performed using data collected from numerous scientific reference sources to determine development trends, the most popular subjects, and the contributions of eminent scholars. The analysis’s findings indicated that student evaluations of courses and teachers were the most commonly discussed subjects. However, in subsequent years, interest had changed to e-learning, higher education, assessment, and evaluation. Recent scientific articles further emphasized the significant impact Covid-19 had had on altering the evaluation process, placing particular attention on online learning. With the advancement of research on artificial intelligence in education, this study also outlined prospects and challenges in online evaluation research. We found thirteen publications covering Chat GPT for educational purposes by obtaining data from articles published in the most recent year in the Scopus database. This study offered a comprehensive view of the evolution of online evaluation through a bibliometric method, covered pertinent topics, and provided a basis for academics to carry out the most recent research in this area.
Developing A Differentiated Learning Model Based on Artificial Intelligence : Implementation in The Mathematics Classroom M. J. Dewiyani Sunarto; Bambang Hariadi; Julianto Lemantara
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 2 (2024): June
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i2.11135

Abstract

This study aims to produce a model that can meet the needs of Differentiated Learning based on AI. This method used research and development (R&D) with the Generic Desain Research Model (GDRM). The subject of this study was mathematics education experts and mathematics learning model experts. Instruments used in this study include quality validity assessment and feasibility assessment analysis. The data analysis techniques used were quantitative methods with learning model validity assessment criteria that use A Linkert Scale of 1-4. The test results of the AI-based Mathematics learning model show that (1) the Content Validity test resulted in an average of 3.47 which means the model is very valid, and (2) The average feasibility test is 3.43, which means it is also very valid. The results showed that the AI-based Mathematics learning model can be implemented in differentiated mathematics classes and train students to learn independently, think critically, provide solutions to problems, and have the courage to convey solutions.
Developing A Differentiated Learning Model Based on Artificial Intelligence : Implementation in The Mathematics Classroom Sunarto, M. J. Dewiyani; Hariadi, Bambang; Lemantara, Julianto
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 2 (2024): June
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i2.11135

Abstract

This study aims to produce a model that can meet the needs of Differentiated Learning based on AI. This method used research and development (R&D) with the Generic Desain Research Model (GDRM). The subject of this study was mathematics education experts and mathematics learning model experts. Instruments used in this study include quality validity assessment and feasibility assessment analysis. The data analysis techniques used were quantitative methods with learning model validity assessment criteria that use A Linkert Scale of 1-4. The test results of the AI-based Mathematics learning model show that (1) the Content Validity test resulted in an average of 3.47 which means the model is very valid, and (2) The average feasibility test is 3.43, which means it is also very valid. The results showed that the AI-based Mathematics learning model can be implemented in differentiated mathematics classes and train students to learn independently, think critically, provide solutions to problems, and have the courage to convey solutions.
Co-Authors Achmad Andi Setyawan Ade Buwono Suharto Agata Rangga Pamungkas, Agata Rangga Agus Dwi Churniawan Agus Dwi Churniawan, Agus Dwi Aisyah Kiki Farashinta Akbar, Jamrodzi Firdhani Akbar, Jamrodzi Firdhani Ali Djamhuri Alsawayeh, Ali Mohamed Ambarsari, Dessy Amelia Tan Angga Hanggar Satyawan Ashari, Pangestika Ayu Ashari, Pangestika Ayu Astia Putriana, Astia Ayu Retno Ambarwati Bani, Amira Yusyah Binar Kurnia Prahani Binti, Binti Shofiatul Jannah Brian Nusual Karyana Murti Budi Jatmiko Budi Jatmiko Budiharjo, Yusuf Budiharjo, Yusuf Darusman, Andi Darusman, Andi Devi Luciana Apriliawati Dharmawan, Nyoman Ari Surya Dita Astrina Maysaroh Edo Yonatan Koentjoro Effendi, Pradita Maulidya Eko Ganis Sukoharsono Elfasa, Zayed Elfasa, Zayed Erwin Soetomo Erwin Sutomo Fadila, Rullyana Nur Ferdy Faizal Prasetya Putra Fitrayana, Mochamad Winnedi Fitrayana, Mochamad Winnedi Fitri Andriani, Fitri Gigih Haris Pradana Gusti Adistriani Hakim, Mesra Berlyn Hamdani, Ujang Hamidah, Jauharoh Hasna Handayani, Mey Handayani, Mey Hangga Yuda Rozaqi Herfiyanto, Prasetyo Herfiyanto, Prasetyo Hergantoro, Firman Anom Hevea Bori Perdana Imam Subekti Indra Perdana Simanjuntak Insan, R. Iqbal Amirul Irfandi Agung Perdana Iwan Triyuwono Jamali, Nashir Jamhari Jamhari Jamrodzi Firdhani Akbar Julianto Lemantara Kusuma, Nurul Izzah Alifah Kusuma, Rizky Wijaya Kusuma, Rizky Wijaya Larasati, Rani Mei Clara M. J. Dewiyani Sunarto Maulana, Nanda Rizka Maysaroh, Dita Astrina Mayska Widya Santoso Mey Handayani Miftah, Muhammad Hoiril Miftah, Muhammad Hoiril Muhammad Asyhari Rahmat Muhammad Hoiril Miftah Muhammad Ivan Setiawan Muhammad Sarwani Muhammad, Irfan Zuhdi Mukti, Drajad Dwihadijaya Murti, Brian Nusual Karyana Nofita, Azizah Dwinda Noval Adib Nugrahini, Erdini Nurdiwiyandra, Sidiq Arbingta Nusa, Adikrishna Satria Pantjawati Sudarmaningtyas Parastowo, Irvan Alfaridzi Dwi Perdana, Amryzal Perdana, Amryzal Pradana, Gigih Haris Pradhana, Ilham Gilang Pradita Maulidya Effendi Prasetyo Herfiyanto Pratama, Ardo Yoga Putra Aditya, Wigananda Firdaus putra, Wedyatama rachma putra, Wedyatama rachma Putri Estiarto , Lintang Putri, Febrina Thogamas R. Iqbal Amirul Insan Rahayu Arya Shintawati Rahmawati, Endra Rangsang Purnama Rani Mei Clara Larasati Rizky Wijaya Kusuma Roekhudin, Roekhudin Rohmatulloh, Muhammad Wildan Sari, Lilik Indah Permata Setiawan, Muhammad Ivan Setya Ardani, Devi Setyawan, Achmad Andi Shabika, Binar Shintawati, Rahayu Arya Shintawati, Rahayu Arya Sulis Sulistiowati Syaiful Iqbal syaputra, samuel Tan Amelia Togatorop, Ester Debora Tri Sagirani Tutut Wurijanto Vivine Nurcahyawati Wahyuningtyas, Nunuk Wedyatama rachma putra Wicaksono, Muhammad Erlangga Wulandari, Sri Hariani Eko Yeney Widya Prihatiningtias Yoppy Mirza Maulana Yusuf Budiharjo Zaki Baridwan Zaki Baridwan Zayed Elfasa