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Artículo diario

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Análisis diarios sobre tecnología, inteligencia artificial y educación, elaborados con fuentes académicas verificadas y publicados en español, inglés y francés.

School phone bans: their most consistent benefits lie in attention, classroom climate and peer relations; effects on achievement and mental health are small…

A critical narrative review (24 studies, 2021–2026) of school phone bans: the most consistent benefits appear in attention, classroom climate and reduced bullying; effects on achievement and mental health are small, heterogeneous or null, and depend on design, compliance, exemptions and the use of the time regained.

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High-dosage tutoring and learning recovery

A critical narrative review (24 studies, 2021–2026) of high-dosage tutoring as a post-pandemic learning-recovery policy: meta-analyses and randomised trials show positive effects, but when evidence is aligned with programmes at scale they shrink to roughly half; what matters is the dosage actually delivered, small groups, tutor continuity and integration into the school day.

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Teacher burnout and wellbeing

A critical narrative review (24 studies, 2021–2026) of teacher burnout and wellbeing through the job demands–resources model: burnout is associated with poorer classroom interactions, lower student motivation and intentions to leave; mindfulness and compassion help modestly, but sustainable change requires redesigning workload, leadership, collaboration and collective efficacy.

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Retrieval practice in the classroom

A critical narrative review (24 studies, 2021–2026) of retrieval practice and the testing effect in real classrooms: more tests do not equal learning; the benefit depends on the practice regime (spacing, interleaving, successive relearning, feedback), the type of knowledge, the learner profile and teacher and student adoption.

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Dialogic reading in early childhood education

A critical narrative review (24 studies, 2021–2026) of dialogic reading and shared book reading in early childhood education: sharing the book is not enough; vocabulary and narrative gains depend on extra-textual talk, home–classroom continuity and intervention fidelity.

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Cognitive offloading and dependence on generative AI in learning

A critical narrative review (24 studies, 2024–2026) of cognitive offloading and dependence on generative AI in secondary and higher education: once the tool is withdrawn, unrestricted access can leave less competence than practice without AI, while guardrails, delayed support, and compulsory reflection attenuate that cost. Assessing what remains without the tool is the decisive test.

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AI-generated text detectors and academic integrity

A critical PRISMA-lite review (2023–2026, 24 studies) of AI-generated text detectors in higher education: accuracy improves under controlled conditions, but editing, hybrid texts, possible bias against non-native writers, and base rates prevent treating a score as proof. Integrity is defended by validating authorship, not by detecting it.

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Parental technoference and adult–child interaction in early childhood

A critical PRISMA-lite review (2021–2026, 24 studies) of parental technoference in early childhood: experimental evidence shows immediate infant distress and reduced adult attention when the phone interrupts interaction; developmental evidence is correlational and bidirectional. What protects is repairing contingency, not counting minutes.

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Calculated-risk play and teacher mediation in early childhood education

A “yard safety score” app, a GenAI “play risk assessment” package, an incident dashboard, or a “digital parental permission” checklist without a pedagogical criterion of calculated risk do not constitute support for risky play; the craft is the teacher mediation that enables situated physical and social challenges in preschool.

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Loose parts and teacher mediation in early childhood education

A STEM loose-parts catalogue app, GenAI provocation prompts, a creative-exploration-minutes dashboard, or a creativity-score checklist without teacher mediation do not constitute support for play with open materials; the craft is the mediation that sustains situated material exploration in preschool.

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Pedagogical documentation in early childhood education

A learning-analytics dashboard, a checklist of documented moments, a photo-count score, or a GenAI caption without narrative observation, teacher interpretation, family dialogue, and evidence of process do not constitute pedagogical documentation: the craft is the learning story, not the count.

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Executive function in early childhood education

A brain-training score, a working-memory app, a screen-time dashboard, or a cognitive-exercises pack without situated play and teacher scaffolding do not constitute support for executive function: social context, observation, transfer, and not replacing play with drill are required.

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Formative assessment with generative AI

A GenAI comment bank, an LLM rubric score, a similarity dashboard, or a “write better” chatbot without teacher mediation do not constitute formative assessment: goals, criteria, dialogue, revision, and judgment attribution are required.

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Teacher copilot with human-in-the-loop (HITL)

A chat that “teaches”, a confidence score, a generated plan, or an “autonomous” agent without an HITL protocol (acceptance criteria, traces, veto, attribution, escalation) do not constitute professional support: the craft is teacher judgment.

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Evaluating LLM-based AI agents

A cherry-picked demo, a leaderboard screenshot, a single-run score, or a video of “the agent solved X” without a fixed evaluation harness do not constitute agent evaluation: a verifiable criterion outside the model is required.

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Artificial intelligence and circle time / morning meeting in early childhood education

A GenAI of circle/morning meeting scripts / lesson packs / carpet-time banks, an engagement/attention/participation quality score or circle compliance, a circle-minutes / morning-meeting-fidelity dashboard, a robot or agent that leads the meeting in place of the adult, or a vision/NLP participation-quality ranking without situated judgment do not constitute support for circle time in early childhood: it is the adult’s dialogic relational craft with the group.

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AI agent harnesses: from model to reliable work

A larger model, a “better” prompt, or a tools demo without an observe–act–verify loop do not constitute a harness: typed tools, memory, stop policies, verifiers, budgets, logging, and isolation turn generative capacity into reliable work; gains on agent benchmarks are explained more by harness design than by scaling the LLM alone.

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Artificial intelligence and cooperative play / peer collaboration in early childhood education

A GenAI of cooperative play scripts / peer collaboration lesson packs / shared-goal activity banks, a cooperation quality score or cooperative minutes/hour, a cooperative-minutes dashboard, a “cooperative peer” robot without contingent adult mediation, or a vision/NLP collaborative-effectiveness ranking without situated judgment do not constitute support for cooperative play in early childhood: it is peer co-construction and the adult’s relational craft.

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Artificial intelligence and guided play in early childhood education

A GenAI of guided play scripts / lesson packs / provocation banks, a guided play quality score or minutes of guided play/hour, a guided-minutes dashboard, a robot that “guides play” without a contingent adult, or a vision/NLP scaffolding ranking without situated judgment do not constitute support for guided play in early childhood: it is contingent co-construction and the adult’s relational craft.

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Artificial intelligence and co-regulation / emotional self-regulation in early childhood education

A facial/voice/ML detector of EQ score or dysregulation alerts, a GenAI of emotion scripts / calm-down recipes, a dysregulated-minutes-per-hour dashboard, a chatbot/robot/wearable that “co-regulates” without an adult, or a teacher emotional sensitivity ranking without situated judgment do not constitute support for co-regulation or emotional self-regulation in early childhood: it is presence, affective attunement, and relational craft.

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Artificial intelligence and sustained shared thinking (SST) in early childhood education

An ASR/NLP/ML detector or SSTEW auto-score, a GenAI of SST scripts / open-question banks, an SST-minutes-per-hour dashboard, a chatbot/robot that “does SST” without an adult, or ChatGPT co-coding turned into a teacher ranking do not constitute support for sustained shared thinking in early childhood: it is prolonged dialogue, co-construction of meaning, and situated pedagogical interpretation.

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Artificial intelligence and theory of mind / perspective-taking (ToM) in early childhood education

A CV/multimodal ToM or perspective-taking-score detector, a GenAI of false-belief worksheets/scripts, a trials-per-hour dashboard, a closed VR/robot treatment, or a gaze/emotion ranking without mediation do not constitute support for theory of mind / perspective-taking in early childhood: it is adult scaffolding, mental-state language, and situated role play.

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Artificial intelligence and prosocial behaviors (helping / sharing / consoling) in early childhood education

A CV/multimodal detector of prosocial acts or kindness index, a GenAI of sharing worksheets, a helps-per-hour dashboard, a closed VR treatment, an automated-praise robot, or a proximity ranking without mediation do not constitute support for prosocial behaviors (helping/sharing/consoling) in early childhood: it is the other’s real need, offer/help/comfort language, and children’s agency.

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Artificial intelligence and peer-conflict negotiation / turn-taking in early childhood education

A CV/multimodal conflict detector or SEC score, a GenAI of resolution/sharing scripts, a conflicts-per-hour dashboard, a “say sorry” robot, or a proximity/synchrony ranking without mediation do not constitute support for peer-conflict negotiation / turn-taking in early childhood: it is co-presence, request/wait/offer language, and children’s agency to repair.

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Artificial intelligence and mark-making / early drawing-writing in early childhood education

A CNN/CV that scores strokes/shapes/DAP or fine-motor/prewriting/drawing-age/VMI scores, a GenAI of copy-the-shape worksheets, a drawing-minutes/stroke-accuracy dashboard, a correctness app, or a developmental ranking without mediation do not constitute support for mark-making / early drawing-writing in early childhood: it is real materials, graphic agency, and adult co-presence that interprets meaning and process.

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Artificial intelligence and dialogic reading in early childhood education

A chatbot/LLM agent that “does dialogic reading” with the child, a comprehension/vocabulary/dialogic quality score, a GenAI of CROWD/PEER scripts, a shared-reading-minutes dashboard, or an app that replaces adult–child shared reading do not constitute support for dialogic reading in early childhood: it is a shared book with contingent PEER/CROWD and adult co-presence.

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Artificial intelligence and water play in early childhood education

A “pouring accuracy” / “STEM water score” sensor, a CV/water-table camera with “mess / off-task splashing” alerts, a GenAI of “water experiments” / sink-or-float lesson plans, a minutes-at-the-water-table dashboard, or an AR layer that guides pouring or predicts sink/float do not constitute support for water play in early childhood: it is exploration of the liquid with flow, capacity, sink-float and adult co-presence.

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Artificial intelligence and sand play in early childhood education

A “sandcastle accuracy” / “STEM sand score” / “molding accuracy” sensor, a CV/sandbox camera with “mess / off-task sand spilling” alerts, a GenAI of “sandcastle plans” / sand play lesson plans, a minutes-in-the-sandbox dashboard, or an AR layer that guides molding or predicts castle stability do not constitute support for sand play in early childhood: it is exploration of the granular with flow, compaction, moldability and adult co-presence.

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Artificial intelligence and playdough / clay play in early childhood education

A “playdough molding accuracy” / “fine-motor dough score” / “shape compliance” sensor, a CV/table camera with “mess / off-task dough spilling” alerts, a GenAI of “figure plans” / playdough lesson plans / STEM dough activities, a minutes-with-playdough dashboard, or an AR layer that guides kneading or predicts the correct shape do not constitute support for playdough / clay play in early childhood: it is exploration of the deformable with tactile properties and adult co-presence.

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Artificial intelligence and risky play in early childhood education

A wearable or “fall-risk score” sensor, a CV/playground camera with “unsafe play” alerts, a GenAI of “safe activities” / risk-free alternatives, a “risk exposure score” dashboard, or an AR layer that avoids height/speed do not constitute support for risky play in early childhood: it is child calibration with Sandseter categories, risk≠hazard and adult co-presence.

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Artificial intelligence and loose parts play / open-ended materials in early childhood education

A chatbot that “suggests constructions” or “loose parts ideas,” a GenAI generator of provocations by prompt, a CV system that scores “creativity,” an AR layer that guides arrangement, or an “open-endedness score” dashboard do not constitute support for loose parts play in early childhood: it is situated practice with open-ended physical materials, child agency, extended time, peers and adult co-presence.

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Artificial intelligence and environmental education / sustainability in early childhood education

An “eco-tips” chatbot or “green classroom” plans, an app scoring “green footprint,” computer vision of “sustainable acts,” or a prompt-based environmental-unit generator do not constitute early childhood environmental education: it is situated care of place, sensory nature exploration, everyday habits and adult mediation (ECEfS / nature pedagogy).

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Artificial intelligence and symbolic play / pretend play in early childhood education

A role-playing chatbot, a pretend-play script app, an autonomous voice agent directing roleplay, computer vision scoring “symbolic-play quality,” or a prompt-based dramatic-play unit generator do not constitute support for symbolic play in early childhood: it is situated peer practice with open-ended objects, metacommunication and adult scaffolding (teleoperated StoryCarnival = peripheral contrast).

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Artificial intelligence and executive functions in early childhood education

A cognitive training app, an adaptive game that scores attention or a model that classifies impulsivity do not develop executive functions in a 3–6 kindergarten: EFs are inhibitory control, working memory and cognitive flexibility built through shared play, conversation, mediated waiting, movement and adult scaffolding on real everyday conflicts; not digital drill or algorithmic attention scoring.

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Artificial intelligence, multilingualism, and early childhood education: linguistic bias, minoritized languages, and the risk of English-only AI literacy

Artificial intelligence is not linguistically neutral. A system trained mainly in English can widen language inequality in early childhood and basic education: Spanish scores below English, Indigenous languages operate with high-error ASR, and AI literacy that only works in English is not literacy.

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Academic integrity and generative artificial intelligence in basic education: authorship, evidence of learning, and the limits of detection

The arrival of generative text models has shifted academic integrity toward a problem of evidence: if a system can produce the artifact the school grades, what counts as proof that a child learned? In basic education the problem is not hunting cheats with a detector, but not evaluating a text without a subject.

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Generative artificial intelligence in early childhood education: scaffolding play, oral language and ethical limits of algorithmic mediation

A doctoral synthesis of how play and oral language can be scaffolded when generative artificial intelligence enters early childhood education. Drawing on seventeen studies from 1995–2021, PopBots (n=80, ages 4–7), AI robotic toys in the 2020 Australian lockdown (n=5) and child-agent interaction (n=26, ages 3–10), it argues that algorithmic mediation is defensible only when subordinated to the adult, to relational pedagogy and to the age limit on independent conversations with generative platforms.

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