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Web-Based Learning Media for Distance Education: A Review Nababan, Donal; Wijayanti, Aldani Putri; Rico; Nashrallah, Muhammad Nas'al; Sari, Wuni Arum Sekar
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.5827

Abstract

Learning media are all forms of tools or materials used in the learning process to help students understand and master the subject matter. This media can be in the form of physical objects, technology, or a combination of both designed to communicate information more effectively and facilitate understanding and retention of learning concepts. The learning and teaching process that uses web-based learning media for distance education is required to be independent and responsible for the learning process because one can learn anywhere, at any time. The important thing is that the tools are available. This research uses a systematic literature review method using Preferred Reporting Items for Systematic Reviews (PRISMA). The research aims to explain web-based learning media for distance education. The research results show that through web-based learning media, students can search for and retrieve information or learning materials based on the syllabus or criteria set by the teacher or education manager. Students will have a wealth of information because they can access information from anywhere related to their learning material, through web-based learning media used for distance education can be increased by using learning materials that are well-designed professionally and pay attention to and use the characteristics of characteristics of multimedia.
Tantangan dan Solusi Etis dalam Transformasi Pembelajaran PAUD Berbasis AI Sari, Wuni Arum Sekar; Lestari, Briyantika Puji
Sosaintek: Jurnal Ilmu Sosial Sains dan Teknologi Vol. 2 No. 1 (2025): Sosaintek: Jurnal Ilmu Sosial Sains dan Teknologi, March, 2025
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/sosaintek.v2i1.7223

Abstract

The application of artificial intelligence (AI) in early childhood education (PAUD) holds significant potential to enhance learning but also presents substantial ethical challenges. This study focuses on four key issues: children's data privacy, algorithmic bias in AI, reliance on technology and its impact on social interactions, and the digital divide, which hinder the fair and effective implementation of AI. Using a literature review method, this research integrates analyses from scholarly journals, books, and relevant reports to explore these challenges. The findings reveal that protecting children's data requires stricter regulations; algorithmic bias can be addressed through inclusive design; technology reliance must be balanced with social interaction-based approaches; and the digital divide calls for equitable infrastructure interventions. This study underscores the importance of ethical and strategic approaches in transforming AI-based early childhood education to holistically support children's development.