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All Journal Jurnal Inovasi Teknologi Pendidikan Riau Journal of Empowerment Proceedings Series of Educational Studies
Kesuma, Dany Wijaya
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Education Social Sciences

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Memberdayakan Internet of Educational Things (IoET) untuk Mengembangkan Kapabilitas Digital bagi Guru-Guru SMP Wahid Hasyim Thaariq, Zahid Zufar At; Nurdiyanto, Reno; Karima, Ummul; Utomo, Doni Anggoro Dwi Wahyu; Kuswandi, Dedi; Kesuma, Dany Wijaya; Putri, Chatur Erisa
Riau Journal of Empowerment Vol 7 No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/raje.7.2.94-109

Abstract

The COVID-19 pandemic has led to a digital-based learning shift, creating a significant learning gap in the Merdeka Curriculum era as face-to-face education resumes. SMP Wahid Hasyim Malang, like many others, faces challenges such as limited teacher-student interaction, reliance on traditional lectures, outdated resources, and underutilized internet facilities. To address this, we propose an Internet of Educational Things (IoET) empowerment program. Its goal is to establish a digital-based learning environment post-pandemic using hypercontent-based modules and Learning Management Systems (LMS) with IoET applications. Instructors will provide foundational training, and facilitators will offer ongoing mentoring. This program equips teachers with theoretical knowledge and practical skills, enhancing their ability to implement IoET-based learning models and media, improving their overall performance. Additionally, it will serve as a valuable reference for future educational services and research, becoming an alternative point of reference for various future educational endeavors and research initiatives.
The Effect of Using Podcast-Based Video on Student Learning Outcomes Kesuma, Dany Wijaya; Soepriyanto, Yerry; Oktaviani, Herlina Ike
Proceedings Series of Educational Studies 2024: The 3rd International Conference on Educational Management and Technology (ICEMT) 2024
Publisher : Universitas Negeri Malang

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Abstract

Podcasts are media files distributed via the internet that can be accessed repeatedly by its users. This study aims to determine the effect of podcast-based video media on the learning outcomes of learners. The subjects of this study were educational technology students class of 2023. data collection was carried out using tests. This research includes quasi-experimental quantitative research. This research uses the Independent Sample T-Test Test. From the results of data processing, it was found that the Asymp.Sig (2-tailed) value was 0.000
From logs to insights: A comprehensive framework for data-driven learning insights Soepriyanto, Yerry; Nugroho, Rengga Prakoso; Nahri, Mochammad Hilman Amirudin; Kesuma, Dany Wijaya; Setiasih, Muhti
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 1 (2025): March
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i1.77432

Abstract

This study develops a theoretical framework for learning analytics utilizing data from the Moodle Learning Management System (LMS). Despite Moodle's extensive use in educational settings, its potential for learning analytics remains underutilized. This research aims to design a predictive framework for identifying learning difficulties through Moodle's internal analytics, incorporating various data points such as activity completion, attendance logs, social interactions, and learner habits. The study employs a research and development methodology with three main stages: (1) needs analysis and learning component identification, (2) theoretical framework design, and (3) validation through focused group discussions with learning experts. The framework integrates predictive modeling for learning retention, task load analysis, and personalized learning style assessments based on the VARK model. Results demonstrate that the framework effectively uses Moodle's default logs for analyzing learner behavior, although it is limited to online interactions within the LMS. Validation confirms its alignment with Moodle's architecture and online learning theories, with minor adjustments for task load components. The framework offers a scalable solution for institutions managing large student populations and varied learning models, serving as a foundation for early intervention and improved learning outcomes. Future studies could expand the framework's scope to include offline and face-to-face interactions.
Co-Authors Dedi Kuswandi Herlina Ike Oktaviani Karima, Ummul Nahri, Mochammad Hilman Amirudin Nurdiyanto, Reno Putri, Chatur Erisa Rengga Prakoso Nugroho Setiasih, Muhti Thaariq, Zahid Zufar At Utomo, Doni Anggoro Dwi Wahyu Yerry Soepriyanto