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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.
Information communication technologies education in elementary school: a systematic literature review Rois Saifuddin Zuhri; Insih Wilujeng; Haryanto Haryanto; Hamidulloh Ibda
Journal of Education and Learning (EduLearn) Vol 18, No 3: August 2024
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v18i3.21435

Abstract

Implementing ICT education in elementary schools in the industrial era 4.0 is urgent. Several studies have explored ICT education in elementary schools, but few studies with systematic literature reviews remain. This article presents a literature review for 2019-2023 regarding ICT education in elementary schools. The Systematic Review Literature method and PRISMA protocol use Publish or Perish 7, VOSviewer, and NVIVO 12 Plus. The search results for Scopus articles contained 812, which were then filtered according to the theme to 61 for the study. The 61 articles were analyzed according to topic via NVIVO 12 Plus, and the results were described according to the research questions. ICT education in elementary school is a form of technology in learning to send, process, create, share, display, store, and exchange information. The characteristics of ICT education in elementary schools are ICT for online learning, communication interaction, digital media, software, inclusive, real-time, TPACK-based, and making students independent. The implementation of ICT education in elementary schools is carried out in learning, digital-based projects, curriculum, tools, and learning materials for Mathematics and language in elementary schools, which are supported by teachers’ digital competence. Future researchers must study ICT education in elementary schools according to technological developments.
Determinant factors affecting the research performance of lecturers receiving external funds Haryanto Haryanto; Nur Kholis; Samsul Hadi; Ezi Apino; Muh. Asriadi AM; Cerry Kartika Trizkyana
REID (Research and Evaluation in Education) Vol 9, No 2 (2023)
Publisher : Sekolah Pascasarjana Universitas Negeri Yogyakarta & HEPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/reid.v9i2.68457

Abstract

Quality research can positively impact the development of science and technology and improve the reputation of universities. This study investigates the determinant factors that affect the research performance of lecturers who obtain external funding. The sample was 41 lecturers who obtained external research funds from various institutions (e.g., Directorate of Research, Technology and Community Service, Ministry of Education, Culture, Research and Technology of the Republic of Indonesia; National Research and Innovation Agency of the Republic of Indonesia; and similar institutions) for the last three years (2021 - 2023). Cluster analysis using secondary data (Science and Technology Index or SINTA data) was conducted to determine research performance clusters (high and low). Discriminant analysis was conducted to determine the determinant factors affecting research performance achievement based on the cluster analysis results. The results revealed that internal factors, including mastery of English and interest in the research topics offered, are determinant factors that affect the research performance of lecturers receiving external funding. In external factors, eight determinant factors affect research performance, namely: support for dissemination of research results in journals, support from research assistant staff, satisfaction with awards from the university, satisfaction with awards from outside the university, support for research matching funds from the university, training in writing research proposals, ease of obtaining research permits from agencies outside the university, and adequacy of facilities at the university. Universities need to consider these factors to encourage the improvement of the research performance of lecturers receiving external funding.
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.
AI in Education: Transforming Student Engagement for the Digital Age Baskara Qazuaini Karim; Haryanto Haryanto; Eny Yulia Susanti
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.10469

Abstract

This research explores the transformative role of Artificial Intelligence (AI) in enhancing student engagement in higher education, specifically focusing on Educational Technology students at Yogyakarta State University, Indonesia. Through a descriptive quantitative approach, the study investigates how AI integration affects learning motivation, implementation patterns, and overall educational experiences in the digital era. A purposive sample of 25 fourth-semester students completed a structured questionnaire to assess their knowledge, usage patterns, and perceptions of AI in learning. Results revealed a high level of AI awareness (96%) and experience (100%) among students, though only 64% reported regular implementation in academic activities. Student perceptions were overwhelmingly positive, with 96% acknowledging AI's effective impact on learning, 92% reporting significant learning support, and 88% expressing intention to continue using AI in future studies. Despite these positive outcomes, the motivational aspect of AI received a comparatively lower rating (68%), suggesting areas for improvement. The study identifies AI's potential to create personalized, adaptive, and interactive learning environments while addressing concerns about over-reliance and ethical considerations. This research contributes to understanding how AI can be optimally integrated into higher education to enhance student engagement while maintaining fundamental educational values. The findings suggest that AI serves not as a replacement for educators but as a powerful complementary tool that transforms the educational landscape in the digital age.
The Effect of Google Sites Web-Based Learning Media on Students' Science Learning Outcomes Rosita Ningsih; Haryanto
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10486

Abstract

This study aims to reveal the effect of Google Sites Web-based learning media on student learning outcomes in science subjects of class X of SMK Negeri 1 Tana Tidung. This study is a quasi-experimental study targeting class X of SMK Negeri 1 Tana Tidung. The research respondents consisted of two groups, namely the experimental group and the control group with the same number of students, namely 11 students determined by the cluster random sampling technique. The data collection instrument was a test. The research data were obtained from the test results before and after learning. The data obtained were then analyzed using the Mann Whitney nonparametric test in the SPSS.16 program to see the differences between the experimental group and the control group. The results showed that there was a difference between the experimental group and the control group with a significance of 0.001 <0.05. These results conclude that there is an effect of Google Sites Web-based learning media on student learning outcomes in science subjects of class X of SMK Negeri 1 Tana Tidung.
Developing HOTS Instruments: Is It Difficult for Physics Teachers? Duden Saepuzaman; Heri Retnawati; Edi Istiyono; Haryanto Haryanto
Jurnal Pendidikan MIPA Vol 23, No 4 (2022): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to identify the difficulties of physics teachers in making High Order Thinking Skills (HOTS).This research is phenomenological qualitative research. Data was collected through interviews, tests followed by FGD. The participants of this study were 33 physics teachers. The data were analysed using Bogdan and Biklen with reduction stages, looking for relationships between themes and conclusions. The results showed that the teacher was very familiar with HOTS. Overall, the teacher has understood the importance of HOTS and the learning process for teaching HOTS to students. But the thing that became the teacher's obstacle was assessing HOTS through an instrument that measures HOTS. If traced to the teacher's difficulties very sequential, start planning, constructing problem questions, making stimulus, combining concepts/formulas in physics, to the validation stage.Keywords: developing instruments, physics teachers' difficulty, HOTS.DOI: http://dx.doi.org/10.23960/jpmipa/v23i4.pp1802-1826
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 AA Sudharmawan, AA Abdul Kadir Agustian Ramadana Putera Ainun Mahfuzah Apri Damai Sagita Krissandi Apri Yuliana Arfianto Wisnugroho Ari Kusmiatun Ashar Pajarungi Anar Astri Widyasari Atikah Mumpuni Baskara Qazuaini Karim Bruri Moch. Triyono Cerry Kartika Trizkyana Dewi Rakhmawati Donald Jupply Duden Saepuzaman, Duden Edi Istiyono Edi Purwanta Eko Swi Damarwan Ela Suryani Eny Yulia Susanti Ezi Apino Febrialismanto Febrialismanto Francisca Lisa Andriyani Fuaddilah Ali Sofyan Guldana A. Begimbetova Gulzhaina K. Kassymova Hamidulloh Ibda Hasan Djidu Heri Retnawati Imam Rofiki Indri Anugrahaeni Insih Wilujeng Irfan Wahyu Prananto Ismiyati, Ismiyati Iyoh Maspiroh Jamiu Temitope Sulaimon Kamaruddin Kamaruddin Karimatus Saidah Komariah Komariah La Tara Laila Fatmawati Linda Feni Haryati Mar’atus Sholihah Mei Latipah Muh. Asriadi AM Muhammad Nur Wangid Murdiono Murdiono Nelly Rhosyida Nita Pratiwi Nola Sanda Rekysika Novi Trilisiana NUR KHOLIS Octavian Muning Sayekti Pujiriyanto . Ragil Dian Purnama Putri Ratna Hidayah Raysyah Putri Sitanggang Reni Setyaningsih Rois Saifuddin Zuhri Rosita Ningsih SAMSUL HADI Santi Ratna Dewi Sekar Purbarini Kawuryan Siti Amanah Slamet Suyanto Solly Aryza Suranto Aw Suwarjo, Suwarjo Trisniawati Tusyanah Tusyanah 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