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Knowledge Enhancement in a Web Learning Environment Praherdhiono, Henry; Nakaya, Ayami; Slamet, Taufik Ikhsan; Nindigraha, Nunung
Journal of Educational Technology Studies and Applied Research Vol 1 No 3 (2025): [3] - 2025 April
Publisher : Teknologi Pendidikan ID

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70125/jetsar.v1i3y2025a24

Abstract

This research is motivated by the limitations of time, cost, and energy in facilitating post-training learning. This research aims to develop a web-based knowledge management system design as a supplement to post-training independent learning. Application development adopts the SECI (Socialization, Externalization, Combination, and Internalization) model. The system will record data used as an indicator of decision-making, material presentation, and automatic recommendations for each participant. The method used in this study uses the Davidson-Shiver, Rasmussen, and Lowenthal development model which consists of 1) Analysis, 2) Evaluation Plan, 3) Simultaneous Design which includes design, system development, testing, limited implementation and formative evaluation. 4) Full Implementation, and 5) Summative Evaluation and Research. There are 2 data analysis techniques, qualitative data analysis to measure the accuracy of utilization procedures; and quantitative data analysis to measure technical quality in the form of media validity and learning outcomes.
Assessing Teacher Readiness for AI Utilization: Between Innovation Opportunities and Ethical Challenges in 21st-Century Learning Nindigraha, Nunung; Firdaus, Kevin Herdinata Cahyadi; Prihatmoko, Yulias; Oktaviani, Herlina Ike
Jurnal Teknologi Pendidikan : Jurnal Penelitian dan Pengembangan Pembelajaran Vol. 11 No. 1 (2026): Januari
Publisher : UNDIKMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jtp.v11i1.18047

Abstract

This study aims to analyze teachers’ readiness and ethical awareness in utilizing Artificial Intelligence (AI) for learning innovation in Indonesia, examining their perceptions of AI’s benefits and challenges, exploring its pedagogical applications, and developing a conceptual AI literacy framework for educators. Employing a quantitative descriptive design, the research involved 107 teachers across educational levels who completed an online survey using a 7-point Likert scale. Data were analyzed descriptively and comparatively, guided by the Technology Acceptance Model (TAM), Technological Pedagogical Content Knowledge (TPACK), and Diffusion of Innovation Theory. The findings indicate moderate technological readiness (M = 3.66; SD = 1.16) and positive perceptions of AI’s potential to enhance productivity and creativity in teaching (M = 3.8). AI is predominantly used for lesson planning (75.7%) and content development (64.5%), while its application in assessment remains limited (46.7%). Teachers demonstrate relatively high ethical awareness (M = 4.20; SD = 1.24) regarding data privacy, plagiarism, and algorithmic fairness, although a gap persists between ethical understanding and classroom practice. Major barriers include limited AI-specific training (68%), inadequate infrastructure (54%), and concerns about reliability and validity (49%). The study proposes an “AI Literacy Framework for Teachers” integrating technical, pedagogical, and ethical competencies, emphasizing the alignment of technological proficiency with moral reflection and humanistic values to support innovative and responsible learning.