Türkçe · The Impact of AI
Verified reporting, original sources and clear analysis of what changes for people.
2026-09-28 · UK edition · 113 reports across the archive
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DeepEdu-v1 reports faster serving and stronger results on its selected agent tasks. Its local-design argument is significant, but no study of classroom learning or student safety is reported in the abstract.
A UK survey records near-universal student use while a Japanese public training listing shows AI entering vocational education. The shared challenge is turning access into genuine learning rather than unexamined dependence.
The OECD Digital Education Outlook 2026 examines how AI, data and digital infrastructure are changing education and argues that procurement, interoperability, teacher capacity and evaluation must develop together.
UNESCO's 2026 digital-education work calls for human-centred use of AI, with attention to teacher agency, inclusion, privacy and the risk that automated systems quietly shape what students see and how they are assessed.
New OECD analysis of PISA evidence explores how students use AI and digital tools alongside reading skills, warning that access or frequency alone does not establish deeper understanding.
The OECD's learner framework describes the knowledge, practices and values students need to understand AI systems, work with them critically and recognise their social and environmental consequences.
Reimagining Teaching in an Accelerating World examines how teaching roles could change as automation handles some planning, feedback and administrative tasks while human relationships remain central.
A 2026 study in Thailand evaluates an AI-supported adaptive curriculum, adding evidence from Southeast Asia to a field often dominated by North American and European products and classrooms.
A 2026 meta-analysis in Humanities and Social Sciences Communications combines studies of ChatGPT in education and finds that outcomes depend on instructional design, subject, duration and the kind of support learners receive.
IZA researchers report experimental evidence on the learning impact of generative AI, distinguishing performance while a tool is available from knowledge students retain when assistance is removed.
UNESCO's AI competency framework for teachers covers human-centred values, ethics, foundations, pedagogy and professional learning rather than treating training as a product tutorial.