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Journal : International Transactions on Education Technology (ITEE)

Utilization Of Big Data in Educational Technology Research Ninda Lutfiani; Lista Meria
International Transactions on Education Technology (ITEE) Vol. 1 No. 1 (2022): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v1i1.198

Abstract

This research aims to exploit the role and contribution of big data in normal-age learning paradigms that require online learning that was initially conducted face-to-face. Educational technology research includes research areas that require changes in learning strategies. This includes the use of technology currently occurring during the COVID-19 virus pandemic to transform face-to-face learning online. Use big data to develop learning strategies (procedures) to solve problems/facilitate learning. The use of big data can contribute to the study of education in general and educational technology in particular. Methodologies used include the analysis and potential implementation of big data in the field of educational technology research by conducting literature survey analyses. The data obtained and used are in the form of local and international journals related to the implementation of big data in the world of educational technology research. The development of technology research applications based on big data makes it easier for researchers to see the possibilities and problems of individual students. Based on this data, researchers can monitor and evaluate students, teachers, materials, and learners. The data can be used to prepare future research efforts.
Business Modeling Innovation Using Artificial Intelligence Technology Riya Widayanti; Lista Meria
International Transactions on Education Technology (ITEE) Vol. 1 No. 2 (2023): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v1i2.270

Abstract

Startups embracing artificial intelligence (AI) as a component of their business models are quickly emerging right now. The application of AI technology in business has been going on for a while, even though recent research reveals that new or alternative business models are being implemented.It might be claimed that AI technology has been used to business models for a very long time, which puts into question the uniqueness of these business models. In order to better understand how AI companies' business models may differ from traditional IT business models, this study compares them to each other. The first step is to create a taxonomy of business models for AI businesses using a sample of 162 Worldwide Stratup, from which four archetypal business models are derived: Deep technology researcher, data analytics supplier, AI product and service provider, and facilitator of AI development The following are three main elements of startup business models for AI firms that are discussed based on this descriptive analysis: (1) new value propositions made possible by AI, (2) Various uses of data to create value and (3) How AI technology affects general business reasoning. By defining their key purposes, common instantiations, and distinguishing features, this research adds to our fundamental understanding of the AI start-up business model. This study suggests intriguing directions for further investigation in the field of entrepreneurship. À It is structured to foster entrepreneurial activity. Taxonomies and models are actually instrument.
Exploring Sustainable Strategies for Education through the Adoption of Digital Circular Economy Principles Meria, Lista; Bangun, Cicilia Sriliasta; Edwards, John
International Transactions on Education Technology (ITEE) Vol. 3 No. 1 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v3i1.675

Abstract

This study investigates sustainable strategies in education by examining the adoption of digital circular economy principles, aiming to address the growing need for resource efficiency within educational systems. As educational institutions face pressures to reduce environmental impact and enhance sustainability, integrating circular economy practices offers promising pathways. The objective of this research is to explore how digital tools and circular principles can be effectively applied to minimize waste and promote resource regeneration in academic settings. A mixed-method approach was employed, combining qualitative case studies and quantitative surveys across several institutions actively implementing circular economy initiatives. Data was collected from educators, administrators, and students to assess the impact of digital circular models on resource management, cost-efficiency, and environmental awareness. Findings indicate that digital circular economy strategies, including digital resource sharing platforms and waste reduction initiatives, significantly enhance both operational sustainability and educational outcomes by fostering a culture of environmental responsibility. Furthermore, the adoption of these strategies has led to measurable reductions in material waste and increased awareness of sustainable practices among students and staff. The research concludes that digital circular economy principles are not only viable but also essential for creating a sustainable educational environment that aligns with global sustainability goals. These findings provide valuable insights for policymakers, educators, and stakeholders in education seeking to develop sustainable frameworks and underline the importance of continued investment in digital circular economy initiatives to support long-term educational and environmental objectives.
Co-Authors Abadi, Ferryal Abshor Marantika Agustina, Noni Alexander William Aliyah Zahrah Amroni Andriyansah . Anggy Giri Prawiyogi Antonius Ardi Fadilah Aropria Saulina Panjaitan Atiya Fadila Awhina, Ridan Ahsani Te Bangun, Cicilia Sriliasta Binastya Anggara Sekti Bintoro, Annida Ningrum Budi Tjahjono Corry Yohana D. Santiago, Nila Desy Prastyani Deva Rivelino Devyani, Shindy Dita Indriyani Djatmiko, Budi Dudhat, Amitkumar Duwi Juliansah, Muhamad Alfi Dwi Andayani, Dwi Dwi Apriliasari Edwards, John Elistia, Elistia Euis Sadeli Fabian, Stefanus Fauziah, Zaleha Felix Sutisna Gunawan, Michael Surya Hasanah, Ananda Uswatun Hayadi, Bambang Herawan Hendy Tannady Insanita, Rizqiah Isabella Maria Jovita Nathania Julianingsih, Dwi Kosasih, Fajar Gumilang Kundang Karsono Lukita Pasha Manawar, Albert Meria, Lista Meria Mira Kartika Dewi Djunaedi Mitsalina Tantri Mulyaningsih, Putri Muniroh, Muniroh Mustopa Mustopa Naibaho, Santy Berliana Nastavia Putri Nina Nurhasanah, Nina Ninda Lutfiani Nizirwan Anwar Patel, Aroha Pranata, Sudadi Priandito Primasatria Edastama, Primasatria Putri, Sonia Yunisya Rahmawati, Wulan Regina Deka Sofia Riya Widayanti Rojuaniah Rojuaniah Ruhiyat, Imam Safariningsih, Ratna Tri Hari sari budiarti Saukani Saukani Saukani Saukani Saukani Simorangkir, Holder Sita Husnul Khotimah, Sita Husnul SOLAHUDIN SOLAHUDIN, SOLAHUDIN Sri Mulyani Sri Mulyani Sri Rosmalina Soejono Sri Watini Subagyo, Luthfina Tsabitah Sunarjo, Richard Andre Suriyadi, Suriyadi Suryani Purnama Suryari Purnama Syah, Tantri Yanuar Rachmat Syamsiar, Syamsiar SYAMSUL HIDAYAT Syauqy, Muhamaad Rifat Tatik Mariyanti, Tatik Toh Hua, Chua Tri Ismardiko Tuti Nurhaeni Ulum, Muhamad Bahrul Ummanah Ummanah, Ummanah Unggul Purwohedi Untung Rahardja Utami, Naning Putri Viatiningsih, Wiwik Victorianda Widodo, Agung Mulyo Yulfitri, Alivia Yunita Fauzia Achmad Zanubiya, Jihan