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All Journal JPK (Jurnal Pendidikan Khusus) JPTK: Jurnal Pendidikan Teknologi dan Kejuruan RADIASI: Jurnal Berkala Pendidikan Fisika Jurnal Pendidikan dan Pengajaran Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD) Prosodi: Jurnal Ilmu Bahasa dan Sastra Jurnal Inovasi Teknologi Pendidikan Jurnal Prima Edukasia AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Inovasi Pendidikan IPA Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan AL ISHLAH Jurnal Pendidikan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini REiD (Research and Evaluation in Education) Jurnal Tadris Matematika Premiere Educandum: Jurnal Pendidikan Dasar dan Pembelajaran Cakrawala Dini : Jurnal Pendidikan Anak Usia Dini Kwangsan: Jurnal Teknologi Pendidikan JMIE (Journal of Madrasah Ibtidaiyah Education) Ideas: Jurnal Pendidikan, Sosial dan Budaya KARST : Jurnal Pendidikan Fisika dan Terapannya Loa : Jurnal Ketatabahasaan dan Kesusastraan Journal of Innovation in Educational and Cultural Research DEDIKASI: Community Service Reports Proceedings Series on Social Sciences & Humanities Jurnal Tadris Matematika
. Haryanto
Teknologi Pembelajaran, Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Cognitive load in high school students during online learning amidst the Covid-19 pandemic: A qualitative study in Bantul, Indonesia Novi Trilisiana; Haryanto Haryanto; Pujiriyanto Pujiriyanto; Wahyu Kurniawati; Jamiu Temitope Sulaimon
Jurnal Inovasi Teknologi Pendidikan Vol 10, No 2 (2023): June
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v10i2.61752

Abstract

The public doubts that learning can be meaningful and in-depth if done online. Moreover, the implementation of online learning still has weaknesses from upstream to downstream. This research focuses on the cognitive load in students when online learning begins to be carried out massively in Indonesia due to the Covid-19 pandemic. This qualitative study aims to identify high school students' experiences in Bantul while learning online during the pandemic. Data were collected for four months through observation, in-depth interviews, and documentation. The collected data were transcribed, coded, and analyzed for themes using cognitive load theory and learning technology. The results illustrate that high school students in Bantul experience extra effort in learning through online platforms due to the novelty of the online learning experience, distractions, subject matter presentation, and the impact of cognitive load on students' learning. This research enriches innovative strategies for managing online learning by learning technology science. It has contributions to the need to train teachers and students to carry out learning in an independent mode. Online learning, when managed by accommodating good theory and practice of learning technology, proves to be a strategic learning mode, especially amidst the challenges of the Covid-19 pandemic.
Evaluation of Inclusive Elementary School Learning in Yogyakarta Windi Widyastuti; Haryanto Haryanto
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 3 (2023): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i3.1064

Abstract

This study aims to evaluate inclusive school learning at inclusive elementary schools in Yogyakarta. This is an evaluative study using the discrepancy evaluation model by Malcolm Provus  through 5 steps of evaluation (design, installation, process, measurement, and comparison) to classify constructs in research papers. Data collection techniques using observation, interviews, and documentation. The validity of the data is done through data triangulation. The evaluation uses a discrepancy evaluation model. The results showed that: 1) inclusive school learning planning in this school used a curriculum and RPI tailored to students' needs. So that the evaluation of the implementation of the curriculum and RPI follows the practice of curriculum planning at other inclusive schools, 2) the implementation of inclusive school learning, which includes the application of teaching strategies, and inclusive student learning assistance, there are no gaps by the practice of curriculum planning at other inclusive schools., 3) there is no gap in the assessment of inclusive school learning following curriculum planning practices at other inclusive schools because the comparison is based on procedures that have been carried out at other inclusive schools.
Ensuring Parameter Estimation Accuracy in 3PL IRT Modeling: The Role of Test Length and Sample Size Hasan Djidu; Heri Retnawati; Haryanto Haryanto
JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) Vol 12, No 2 (2023): JP3I
Publisher : Fakultas Psikologi UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jp3i.v12i2.34130

Abstract

The objective of this simulation study was to evaluate the accuracy of item parameters estimation when employing the 3PL IRT model, mainly focusing on sample size and the length of the test (number of test items). The investigation used six datasets produced by WinGen, each comprising 5000 responses and varying test lengths within 10 to 40 items. For each dataset, the study conducted simulations and re-analyzed the data 15 times, generating a total of 2025 data subsets and estimating 225 parameters for each item. The results revealed that smaller sample sizes led to more pronounced biases, emphasizing a recommended minimum sample size of 3000 for precise parameter estimation. Additionally, the study found that a limited number of items (short test) yielded biased estimations and proposed a minimum of 25 or 40 test items for accurate estimation using the 3PL IRT model. These findings offer valuable insights for test developers in making informed decisions regarding sample sizes and test length, ultimately ensuring reliable and accurate parameter estimates.
Integrasi Matematika, Nilai-Nilai Keislaman, dan Teknologi: Fenomena di Madrasah Tsanawiyah Wilda Yumna Safitri; Haryanto Haryanto; Imam Rofiki
Jurnal Tadris Matematika Vol 3 No 1 (2020)
Publisher : Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/jtm.2020.3.1.89-104

Abstract

A study of mathematics integration with technology and Islamic values becomes an interesting topic to be studied by many scholars. The mathematics integration is essential to be applied in learning so that it can make students become Muslim individuals who have excellent character and proficiency in utilizing technology. However, there are still few studies that investigate mathematics integration with technology and Islamic values. Therefore, this study aims to describe phenomena directly related to mathematics learning that contain Islamic values and the use of technology in the learning process. The type of this study was descriptive research using a qualitative approach. The subjects of this study were three mathematics teachers who teach at Madrasah Tsanawiyah (MTs). The study procedure was carried out to find the phenomenon of research subjects that occurred at MTs. The validity of the data used the triangulation of the source and method. Data were collected through literature review, interview, and observation. The study results showed that three MTs had applied Islamic values and technology content in mathematics learning. This study recommends the need for innovation in MTs to design mathematics-integrated learning with Islamic values and the use of technology to help teachers create efficient learning, attract students' learning interest, and create an active learning environment for students.
Applying Unsupervised Possibilistic Fuzzy C-Means to Cluster Teachers' Online Practices Guldana A. Begimbetova; Heri Retnawati; Bruri Moch. Triyono; Haryanto Haryanto; Gulzhaina K. Kassymova; Slamet Suyanto
Journal of Innovation in Educational and Cultural Research Vol 6, No 3 (2025)
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jiecr.v6i3.2297

Abstract

This research examines the digital literacy skills of teachers in Finnish education using a dataset of 4,988 teachers from 2017 to 2019. The dataset includes variables such as gender, age, level of urbanization, self-efficacy, professional development, digital engagement, and information skills. Teachers were categorized based on their digital competence. The study uses Unsupervised C-Mediums (UPFCM) clustering to analyze teachers' online experiences and identify distinct groups. Descriptive statistics and correlation analyses reveal relationships between key variables, suggesting that self-efficacy, teaching relevance, and digital engagement significantly influence teachers' digital literacy. The results indicate different digital competence profiles, providing insights into professional development needs. The study highlights the importance of personalized learning programs to enhance digital competence and bridge skill gaps. Using an advanced clustering approach, this study contributes to understanding teachers' digital skills. Provides a foundation for data-driven educational advancements aimed at increasing digital literacy in the teaching profession.
Co-Authors Abdul Kadir Agustian Ramadana Putera Ainun Mahfuzah Apri Damai Sagita Krissandi Apri Yuliana Arfianto Wisnugroho Ari Kusmiatun Ashar Pajarungi Anar Astri Widyasari Atikah Mumpuni Bruri Moch. Triyono Dewi Rakhmawati Donald Jupply Duden Saepuzaman, Duden Edi Istiyono Edi Purwanta Eko Swi Damarwan Ela Suryani Endang Priyanti Febrialismanto Febrialismanto Francisca Lisa Andriyani Fuaddilah Ali Sofyan Guldana A. Begimbetova Gulzhaina K. Kassymova Hasan Djidu Heri Retnawati Imam Rofiki Indri Anugrahaeni Irfan Wahyu Prananto Iyoh Maspiroh Jamiu Temitope Sulaimon Karimatus Saidah Komariah Komariah La Tara Laila Fatmawati Linda Feni Haryati Mei Latipah Muhammad Nur Wangid Murdiono Murdiono Nelly Rhosyida Nita Pratiwi Nola Sanda Rekysika Novi Trilisiana Octavian Muning Sayekti Pujiriyanto . Purwoko Haryadi Santoso Ragil Dian Purnama Putri Ratna Hidayah Raysyah Putri Sitanggang Reni Setyaningsih Santi Ratna Dewi Sekar Purbarini Kawuryan Siti Amanah Slamet Suyanto Solly Aryza St. Kartono Suwarjo, Suwarjo Trisniawati Umar Umar Vera Yuli Erviana Wahyu Kurniawati Wahyu Purwaningsih Wilda Yumna Safitri Windi Widyastuti Woro Tri Hastuti Wuri Wuryandani Wury Wuryandani Yunita Miftahul Jannah Yustiandi - Yustiandi Yustiandi Yustiandi Yustiandi Zuhdan Kun