Aug 2026· International Journal of Excellence in Smart Learning· 0 citations· 4 references
TL;DR
This study examined the readiness of the Jordanian education system to accommodate these transformations and identified the most prominent philosophical and ethical challenges hindering the integration of AI into education by applying it to a sample of 80 educational experts.
Abstract
This study addressed the urgent need to develop a new epistemological model to understand the philosophy of education in light of the profound transformations imposed by the artificial intelligence (AI) revolution. It explored how AI technologies have reshaped educational environments, shifting from traditional models focused on content and lecturers to interactive learning systems that rely on big data and provide personalized learning paths. Using an exploratory qualitative research approach, the study examined the readiness of the Jordanian education system to accommodate these transformations and identified the most prominent philosophical and ethical challenges hindering the integration of AI into education by applying it to a sample of 80 educational experts. The results revealed significant gaps between prevailing educational philosophies and the requirements of future skills such as innovation, critical thinking, and lifelong learning. The study presented a balanced epistemological model that promotes the integration of technology and human values, ensures the ethical use of AI, and achieves equity in educational opportunities. This model also calls for reformulation of educational policies to enable future generations to meet the challenges of the digital economy with confidence and competence while preserving their cultural and ethical identity.
The increasing integration of Artificial Intelligence (AI) into K-12 education represents a profound epistemological and pedagogical disruption. Drawing upon the discourse from the inaugural Lushan Summit organized by AI, Brain and Child Research Centre of Education University of Hong Kong, this editorial critically ex...
Hui Li, S. Yeung, Guan-Dong Xu et al.· AI, Brain and Child· 0 citations
This article presents a case study of AI-powered intelligent transformation in teaching, drawing upon practical implementations in both science and humanities education, and illustrates how generative AI tools can be strategically deployed to enhance diagnostic assessment, personalize learning, create interactive conte...
W.-C. Tang· Australian Journal of Busine...· 0 citations
Artificial Intelligence (AI) is rapidly transforming educational practices and challenging conventional understandings of teaching, learning and teacher professionalism. The emergence of generative AI, intelligent tutoring systems, adaptive learning platforms and AI-supported assessment has created new possibilities fo...
Pragyan Mohanty, Pranay Pandey· EPRA international journal o...· 0 citations
The findings show that AI offers transformative opportunities in facilitating personalized learning, real-time feedback, the automation of formative assessment, and efficiency in designing educational content, and faces substantial ethical and pedagogical challenges.
D. Sumantri· Linguanusa : Social Humaniti...· 0 citations
Artificial Intelligence (AI) has taken a central role in contemporary educational transformations, reshaping pedagogical practices, interaction patterns, and learning processes. This paper discusses the theoretical foundations, potentialities, and ethical risks of AI use in education, drawing on authors such as Córdova...
Gustavo Garcia de Amo· Revista E-Tech Tecnologias p...· 0 citations
A comparative analysis of Artificial Intelligence (AI) and Large Language Model (LLM)-based learning systems versus traditional education methods suggests that hybrid learning models can maximize educational outcomes by integrating technological adaptability with human-centred pedagogy.
Vivek Bhardwaj, Sahil Sharma, Deepak Thakur et al.· International Journal of Com...· 0 citations
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