ITE Module 8 TC Standard 3 7 Core Topics

πŸ’» Digital Technologies & Pedagogy

Not about which apps to use β€” but about developing the frameworks to select, evaluate, and deploy digital tools with genuine pedagogical intent rather than novelty or administrative convenience.

πŸ“‹ Module Overview

The digital technology landscape in education is characterised by two equally dangerous failure modes: technophobia (refusing to engage with digital tools because "it was fine without them") and uncritical adoption (adding technology to every lesson because it signals innovation, regardless of whether it improves learning). This module provides the conceptual frameworks to navigate between these extremes.

The guiding question is always: Does this technology enable students to understand something more deeply, engage more genuinely, or demonstrate understanding more accurately than the alternative? If yes, the technology has a place. If not, it is distraction with a keyboard.

Teaching Council Standard 3 (Digital Technologies): Teachers are expected to be digitally fluent β€” not just users, but critical evaluators of digital tools and thoughtful designers of digitally-enriched learning environments. The NZC's Digital Technologies learning area also means teachers across all subject areas now have a role in developing students' computational thinking.

🎯 The SAMR Model β€” Evaluating Technology Integration

Dr Ruben Puentedura's SAMR model (Substitution, Augmentation, Modification, Redefinition) provides a hierarchy for evaluating how digital technology transforms β€” or fails to transform β€” learning tasks. It is not a judgment framework (higher = better) but a reflection prompt: where on this spectrum am I, and is that appropriate for this task?

  1. Substitution

    Technology as direct tool substitute β€” no functional change

    Students type an essay instead of writing it by hand. The task is identical; the medium changed. This is often fine β€” but don't congratulate yourself for "using technology."

  2. Augmentation

    Technology as substitute β€” some functional improvement

    Students type an essay with spellcheck, grammar suggestions, and research access. The task is similar but improved. Still enhancement β€” not transformation.

  3. Modification

    Technology enables significant task redesign

    Students collaborate on a shared document in real time, giving peer feedback asynchronously, revising work with tracked changes visible to the teacher. The task has changed in meaningful ways only possible with the technology.

  4. Redefinition

    Technology enables creation of new tasks previously inconceivable

    Students produce a documentary on local environmental issues, interview local iwi on camera, edit with subtitles in te reo Māori, and publish for authentic public audience. This task could not exist without the technology.

πŸ”Ί TPACK β€” The Intersection of Three Knowledge Domains

Mishra and Koehler's Technological Pedagogical Content Knowledge (TPACK) framework (2006) describes effective digital teaching as requiring three overlapping knowledge domains working simultaneously:

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Content Knowledge (CK)

Deep understanding of the subject matter β€” what you're teaching. Without this, technology integration produces impressive-looking nonsense.

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Pedagogical Knowledge (PK)

How learning works β€” formative assessment, differentiation, classroom culture. Technology without pedagogical grounding is expensive decoration.

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Technological Knowledge (TK)

Understanding what specific tools can and can't do, and staying current as the landscape changes. Not mastery of every tool β€” fluency with the evaluative process.

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TPACK β€” The Intersection

Highly effective digital teaching happens at the intersection of all three. Knowing your content, knowing pedagogy, and selecting technology that serves both is the goal.

πŸ€– AI in Education β€” The Unavoidable Reality

Artificial intelligence tools are already in your students' hands. Large Language Models (ChatGPT, Gemini, Copilot) can write essays, solve maths problems, summarise texts, and generate entire units of work. Beginning teachers who are unprepared for this reality will spend their careers fighting a losing battle.

⚠️ The Core Pedagogical Challenge

When a student can generate a plausible essay in 30 seconds, what is the pedagogical purpose of the essay? This is genuinely the most important question in curriculum design right now. It does not have an easy answer β€” but teachers who engage with it seriously will design far better learning tasks than those who simply ban AI and hope for the best.

Productive Approaches to AI in the Classroom

🌿 AI and Māori Data Sovereignty

Te Ao Māori knowledge systems and data about Māori communities raise specific concerns with AI tools built on Western datasets. Māori data sovereignty β€” the principle that Māori have authority over data about Māori β€” has implications for what AI tools are appropriate in NZ classrooms and how student data is used. Engage with Te Mana Raraunga's frameworks on this.

🌐 Digital Citizenship

Digital citizenship is the responsible, ethical participation in digital environments. It is not a separate topic for "technology class" β€” it should be embedded across all learning areas by all teachers. Key dimensions:

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Privacy & Safety

Understanding what personal information is, why sharing it carries risks, and how to protect oneself online. Age-appropriate from Year 1.

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Critical Evaluation

Reading digital content critically β€” identifying bias, misinformation, sponsored content, and confirmation bias traps. Essential media literacy.

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Online Communication

Digital communication lacks tone, body language, and context. Teaching students to communicate respectfully and clearly in digital spaces β€” including understanding permanence.

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Digital Rights & Ethics

Copyright, creative commons, consent, algorithmic bias, and the ethical dimensions of AI β€” students as informed digital citizens, not passive consumers.

πŸ‡³πŸ‡Ώ Digital Technologies in the NZ Curriculum

From 2020, Digital Technologies became a compulsory component of the NZC β€” moving from an optional learning area to an expected dimension of all learning. This has significant implications for all classroom teachers:

🏫 Practical Heuristics for Digital Tool Selection

πŸ”— Connected Resources

Other Modules:

← All ITE Modules Pedagogy Hub β†’

Puna Kōrero β€” Sources

Ministry of Education Aotearoa New Zealand. (2018). Digital Technologies and Hangarau Matihiko: Learning Area. Wellington: Ministry of Education.

OECD. (2019). OECD Skills Outlook 2019: Thriving in a Digital World. Paris: OECD Publishing.

Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. London: UCL Institute of Education Press.