e-learningAI in educationknowledge society

juandoming

Web 2.0 evangelist

A learner-first education thinker tracking AI, inclusion and the next shape of the university.

131.4Kposts
6topics
2languages
The curator

A systems thinker of learner-centered digital education

juandoming is the public face of Juan Domingo Farnós’s long-running work on e-learning, educational technology and the knowledge society. His Scoop.it activity is mostly silent in commentary but unmistakable in pattern: he gathers practical resources, policy signals, theoretical essays and critical warnings around one persistent idea, that education must be redesigned around learners rather than around institutions or tools.

Researcher-teacher profile

The bio names him as a researcher and teacher in e-learning, educational technologies and knowledge management. That professional identity shows in the selection: theory, classroom design and institutional futures constantly overlap.

AI as an educational question

His strongest current interest is the transformation of education through AI. The topic follows assessment, faculty roles, governance, student agency and the evidence behind classroom tools with a careful, analytical rhythm.

A long view of digital learning

Older topics show an early commitment to Web 2.0, mobile learning, robotics and art as educational media. They now read as the historical layers behind the present AI focus: tools mattered, but always as part of a larger shift in learning culture.

What defines this selection

An archive at uncommon scale

The analysed topics hold more than 131,000 posts, with the flagship topic alone nearing 100,000. This is not a small reading list; it is a long-running archive of educational technology debates, classroom practice and institutional change.

Pedagogy before tools

The strongest current thread connects AI, inclusion, assessment, data literacy and the future of the university. The selection reads technology through pedagogy, not the other way around.

Multilingual reach

Spanish is central, but English, Portuguese and French sources widen the field. The result is an Ibero-American education lens connected to global debates in higher education and AI policy.

A public knowledge trail

Across all topics, the account has drawn more than 1.7 million views and nearly one million unique visitors. The audience reflects both the volume of the work and the durability of its themes.

Topics

Deep dives

AI education, with the learner still at the center

The central topic has become a vast working notebook on education after generative AI. It brings together weekly synthesis, policy signals, classroom cases and theoretical proposals, always returning to the same question: how can learning remain learner-centered when algorithms enter assessment, teaching and institutional design?

A recurring concern is cognitive delegation. The topic does not treat AI as a simple productivity layer; it follows the shift in what teachers, students and institutions decide to hand over to machines, and what must remain human, critical and pedagogical.

Inclusivity is not an accessory here. Universal design for learning, data literacy, critical thinking and assessment appear beside AI governance and classroom practice, giving the topic a social and ethical frame rather than a narrow edtech frame.

The tone is pro-innovation but cautious. Posts on AI mistakes, weak evidence behind classroom tools and local rule-making by students and professors show an editor interested in guardrails, bias, evidence and agency, not only novelty.

Selected posts