Educational sustainability: balancing technology and the human element

Main ideas, concepts, and lessons

• Topic focus: “Educational sustainability” (not sustainability education)
  • Defined as preserving the value and longevity of education as a powerful tool for individuals and society.
  • Emphasizes long-term outcomes for:
    • Teachers
    • Learners
    • Society at large

Core principles

• Longevity / vitality of education

  • Education should continue to help people:
    • grow
    • become capable citizens
    • solve problems

• Technology is part of the equation—but not the replacement

  • Technology can be transformative, but it can also be disruptive or harmful if it undermines human roles.

• Human element is essential

  • Teachers provide the “human scaffolding” that makes tools (including GenAI) genuinely effective and educationally beneficial.
  • Reducing teacher involvement risks making learning shallow or unsafe.

How educational sustainability differs from “sustainability in general”

• General sustainability often targets planetary preservation (protecting the home planet).

• Educational sustainability instead asks: If education changes in ways that stop achieving its core purpose, what’s the point?

• The goal is ensuring education remains effective at developing human potential.

Classroom implications of GenAI and tech

• Concern: technology often supports performance but can degrade learning if learners delegate thinking to tools.
• Learning requires learners to build internal understanding, supported by neuroscience concepts like synapses and neuronal networks.
• GenAI can help when used for support (e.g., feedback, brainstorming, early drafting) but not when it becomes “copy/paste” thinking replacement.
• Teachers should assess whether students are:
  • using tools to learn and reflect
  • or using tools to avoid cognitive effort

Teaching should prioritize transferable, future-proof skills

Instead of training students only for today’s tools, schools should emphasize:

• digital literacy
• critical thinking
• adaptability to changing technologies

Rationale: AI tools evolve quickly, so sustainable education prepares learners for whatever comes next.

Teacher role and curriculum integration

• Educational sustainability is not “just another item” on the curriculum.
• It can be integrated by building on what teachers already do (e.g., digital literacy in language classes).
• Teachers model and develop skills such as:
  • discerning tool usefulness vs hype
  • mindful, purpose-driven tech use
  • critical evaluation of outputs

Psychology/neuroscience framing

• Learning depends on effortful cognitive work (“desirable difficulties”).
• If tasks are too easy—or done by machines—learners may not build the mental structures needed.
• Learning is framed as process over product: effort and cognitive struggle are part of the mechanism.

Practical mindset: “I can’t, but I can”

A sustainability-oriented classroom routine:

• I can’t (e.g., can’t control tech availability or resources)
• but I can (e.g., build classroom/community support, use learners’ strengths, seek help)
• and if I do, then… (focus on the intended learning outcome, autonomy, engagement)

Examples of actionable classroom shifts

• Give learners agency (e.g., let them choose topics to increase autonomy and motivation).
• Teach that the same tool can serve different purposes depending on how it’s used.
• Create time for explicit discussions about:
  • critical thinking
  • digital tool layers
  • appropriate use and purpose

Resources and frameworks referenced

• Cambridge Life Competencies framework

  • Built from teacher feedback
  • Includes 6 competencies and underlying foundation layers
  • Mentions foundation: digital literacy
  • Mentions competency linked to digital literacy: critical thinking

• Sustainability framework for English Language Teaching

  • Emphasizes agency and taking action toward a sustainable future

• Cambridge white paper (referenced)

  • Co-written with Sylvia Machinska
  • Focus: role of AI in language learning, including personalization and learner autonomy

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Methodology / instruction-style guidance (detailed bullets)

1) Use technology in a way that supports learning (not just output)

Use GenAI/tech to:

• provide feedback
• support brainstorming
• help with early drafts where learners still do the thinking

Avoid using GenAI/tech to:

• replace the learner’s thinking process entirely (e.g., writing for them)
• encourage copy/paste without comprehension

Teacher check:

• Can the student explain or validate their reasoning?
• Are they practicing the underlying skills (e.g., argument structure, reading, reflection)?

2) Build the “discernment” learners need to use tools wisely

• Expect many learners cannot self-regulate well yet.
• Teach learners to ask critically:
  • “Why am I using this tool?”
  • “What am I trying to learn or improve?”
  • “Is this helping me build understanding?”
• Provide guidance and scaffolding rather than assuming tool access equals competence.

3) Teach future-proof skills (so learning remains sustainable as tools change)

Prioritize skills that remain useful even when specific apps change:

• digital literacy
• critical thinking
• adaptable “learn how to learn” capability

Focus on generic prompt/tech-use reasoning skills where possible, not tool-specific tricks.

4) Teach “learning how to learn” and ensure effortful practice

• Develop metacognitive skills (planning, monitoring, and evaluating learning).
• Use “desirable difficulties”:
  • tasks should require effort so learners build the mental structures needed
• Don’t assume students know how to study effectively just because tools exist.
• Emphasize process over product.

5) Implement educational sustainability through practical classroom actions

Adopt a “I can’t / but I can / and if I do then” approach:

• I can’t: accept constraints (e.g., limited resources, tech availability)
• but I can:
  • ask learners for help/knowledge
  • build school/community support among teachers
• and if I do, then: evaluate the outcome (e.g., more autonomy, engagement, willingness to work)

Also:

• Teach agency (e.g., involve learners in choices like selecting learning topics).
• Create classroom time for explicit discussions:
  • mindful use of digital tools
  • how different purposes change how tools should be used

6) Teacher professional next steps (low-burden entry point)

If overwhelmed, start with:

• one tiny 5-minute step
• involve one person (a learner, colleague, or friend)
• try it in the classroom starting Monday

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Sources / speakers featured

• Hayo Reinders — host (Teachers Talk Tech podcast)
• André Hedlund — educational consultant; discusses educational science, brain, learning mechanisms, and “desirable difficulties”
• Andrea Vinkler — Cambridge University Press and Assessment; discusses frameworks like Life Competencies and classroom integration; also references AI-related resources

Other referenced figures / sources (not direct speakers in the video)

• Robert Bjork — cognitive psychologist; “desirable difficulties”
• Carol Dweck — mindsets (referenced)
• Jonathan Hyde — The Anxious Generation (referenced)
• Michelle Desmurget — Screen Damage (referenced)
• Harvard Project Zero — referenced; “Visible Thinking” routine
• Sylvia Machinska — co-author mentioned for a Cambridge white paper