Covering the last 90 days

EdTech

EdTech on Scoop.it is busiest where AI meets everyday teaching. The latest selections track AI literacy for students and educators, school policy frameworks, assessment under pressure from generative AI, and the continuing argument over screens in classrooms.

The area spans 102 topics maintained by 64 curators, with 122 posts in the last 90 days. It is fed by teachers, learning-technology specialists and education watchers who gather research, classroom tools, reports, policy guidance and practical resources across K-12, higher education and online learning.

What is moving now is a shift from novelty to judgment. The accelerating terms are AI and AI literacy, but the strongest posts ask older educational questions in a new setting: what counts as learning, how teachers know it happened, and which tools deserve time in the classroom.

Key figures

  • 102 topics
  • 64 curators
  • 10621752 views
  • October 7, 2026 last activity

Cross-cutting issues

1

AI can support learning only if it leaves real thinking to learners

The live debate is less about allowing or banning AI than about preserving judgment, effort and trust in classrooms.

How to stay smart in the age of AI: the science of critical thinking nature.com

The strongest countercurrent in current EdTech coverage is not anti-AI. It is anti-automation without judgment. EdTech: The New Normal follows writing on critical thinking, student-teacher trust and leadership responsibility, where AI may assist but humans still own the consequences.

Educational Technology News adds a practical classroom lens. A Nature piece selected there stresses task design: AI can support learning when it prompts feedback, problem-solving and effort instead of delivering finished answers. That shifts the question from whether to use AI to how the work is structured.

Learning & Technology News connects the same concern to screen debates and cognition. Posts on screen research and effortful learning warn against crude conclusions. The pattern is clear: the educational value of technology depends on purpose, task design and the thinking it leaves for the learner.

Further reading

2

AI detectors are losing ground, but assessment still needs proof of learning

Schools and universities are moving from detection toward redesign, while trying to avoid punitive systems that damage trust.

AI in Teaching: Preserving Core Pedagogical Principles facultyfocus.com

Assessment is where AI pressure becomes concrete. Rubrics, Assessment and eProctoring in Education tracks the collapse of confidence in simple enforcement, including arguments against AI-detection software and research on the anxiety students feel when accused of misconduct.

The same topic shows why replacement fixes are not simple. Oral exams are returning in some settings to deter AI cheating, but the coverage also notes their own problems. Another article asks how universities should respond as AI gets better at exams, pointing toward redesign rather than surveillance alone.

EdTech: The New Normal contributes the pedagogical frame. A Faculty Focus piece on preserving core principles keeps the focus on assessment purpose, not just integrity policing. Together, the posts suggest that AI is forcing institutions to ask what an exam is meant to prove.

Further reading

3

The screen-time argument is giving way to harder questions about classroom use

Educators are looking past total minutes and asking when devices deepen learning, when they distract, and who controls the classroom stack.

New research looks at how screens are actually being used in Australian classrooms – the results may surprise you theconversation.com

The screen-time debate is becoming more precise. Mobile Learning brings research on how screens are actually used in classrooms, while Educational Technology News highlights the argument that minutes on a device are a weak measure unless schools ask what learning the tool serves.

EdTech: The New Normal adds a warning about unintended consequences when screen limits become blunt policy. Digital Learning - beyond eLearning and Blended Learning broadens the issue with reporting on how large technology companies became embedded in schools, making device policy also a question of procurement and dependence.

The more productive posts do not defend every use of technology. They separate distraction from design. Professional learning through short-form platforms, AI-powered gamified cyber-threat instruction and better measures than screen time all point to the same standard: start with the learning task, then decide whether the device earns its place.

Further reading

4

AI-assisted tools are turning learning tasks into connected workflows

New tools are less about one app replacing a teacher and more about composing faster paths through research, media and collaboration.

Atlas: Turn any topic into a visual story gauth.com

The tool layer of EdTech is becoming more modular and AI-assisted. Tools for Teachers & Learners gathers services for visual exploration, concept discovery, transcription, workshop design and collaborative diagrams, which together show how teachers can assemble workflows rather than adopt one platform.

Digital Delights for Learners adds a study and research angle through a tool for deep research with branching pages. That fits the broader shift from single-purpose apps toward systems that help learners move between exploration, organization and production.

The pattern is not only automation. Several selected tools invite interaction: clickable visuals, concept rabbit holes, workshop exercises and shared diagrams. The value is in how quickly a teacher or learner can turn material into something navigable, discussable or reusable.

Further reading

Curators to follow

  • Learning Futures

    Tracks assessment, mobile learning, digital learning and platform questions, with recent selections on AI misconduct, screen use and Big Tech in schools.

  • Nik Peachey

    Gathers practical classroom tools and learning technology articles, from AI transcription and visual exploration to workshop design and collaborative diagrams.

  • Ana Cristina Pratas

    Selects learner-facing digital resources, including research, study and creativity tools with recent attention to branching research workflows.

  • Dr. Tom D'Amico (@TDOttawa)

    Follows K-12 AI policy, evidence, inclusion and educator preparation through reports, frameworks, courses and classroom-ready resources.

  • EDTECH@UTRGV

    Covers implementation questions in educational technology, including screen-time measurement, critical thinking with AI and gamified approaches to cyber threats.

  • David W. Deeds

    Spotlights AI in teaching, critical thinking, student-teacher trust and leadership responsibility in school technology decisions.

Frequently asked questions

What EdTech issues are most active right now?

The recent material is dominated by AI literacy, AI policy, assessment after generative AI, screen-use debates and practical learning tools. Across the last 90 days, the active posts move between classroom pedagogy, K-12 guidance, university assessment, mobile learning and AI-assisted workflows for teachers and learners.

How is AI changing EdTech in schools?

AI appears both as a classroom subject and as an infrastructure issue. Selected posts point to AI literacy courses, UNESCO and UNICEF reports, K-12 frameworks, digital citizenship activities, and warnings that policy is not enough without teacher judgment, task design and time for implementation.

What is happening to exams and academic integrity after AI?

The assessment coverage shows a shift away from relying on AI-detection software. Posts discuss student anxiety after misconduct accusations, the limits of oral exams, and the need to redesign evaluation as AI becomes better at exams. The emphasis is moving toward proof of learning rather than automated suspicion.

Is the EdTech debate still just about screen time?

No. The selected posts argue against using total screen minutes as the main measure. They ask what the device is used for, whether it supports the learning goal, what it replaces, and what unintended consequences follow from blanket limits or platform dependence.

What can teachers find in these EdTech topics?

Teachers will find topic streams on classroom tools, AI literacy, LMS practice, mobile learning, accessibility, assessment, online learning and ELT resources. Recent selections include visual exploration tools, AI transcription, workshop planning, digital citizenship activities and guidance on using AI while preserving critical thinking.

Where does this EdTech coverage come from?

The page reflects 102 topics maintained by 64 curators, with 122 posts in the last 90 days. The most quoted sources include The Conversation, Faculty Focus, Inside Higher Ed, The New York Times, Common Sense and UNESCO-related material, giving the area a mix of research, commentary and practice.

Most quoted sources

  • theconversation.com 6
  • youtube.com 5
  • facultyfocus.com 4
  • ammaramerhbi.substack.com 3
  • insidehighered.com 3
  • nytimes.com 3
  • commonsense.org 3
  • forbes.com 3
  • theinnovativeeducator.blogspot.com 3
  • drphilippahardman.substack.com 3

On the rise

  • AI 17
  • ai literacy 15

This page was written by an AI from the public curation of Scoop.it topics. The posts, topics and curators it cites are real and linked directly.

Updated on October 7, 2026