Best for
Digital citizenship lessons, online safety weeks, health/wellbeing classes, and introductory AI/data discussions.
Digital Technologies / Health / Citizenship ⢠Years 7-11 ⢠Practical classroom audit
Use this worksheet to help Äkonga investigate the digital traces they leave behind, the permissions they grant, and the risks that appear when personal or whÄnau data is treated casually online. The aim is practical awareness, not fear.
Once students complete the audit, use Te WÄnanga to create a follow-up reflection, whÄnau letter, or class action plan matched to your school context.
This worksheet supports explicit teaching around digital citizenship, health and wellbeing, and responsible technology use. Use the companion page to make those curriculum links visible in planning.
Privacy is not only an individual concern. In Aotearoa, data can also expose whÄnau, community relationships, places, and cultural information. Good digital citizenship includes asking what should stay private, who should control access, and how online habits affect more than just the person holding the phone.
Search your own name, username, or public social media identity. Record what is easy to find.
Review at least three apps or services you use often. For each one, note:
Which of these surprises you most, and why?
Use this section to discuss how data can also be relational, not just personal.
This week I will change: ________________________________________
The app or setting I most need to review is: _______________________
One privacy habit I will improve is: _______________________________
One thing I would explain to my whÄnau or friends is: _____________
1. After completing this audit, what surprises you most about your digital privacy footprint?
2. Identify one specific app or permission you will review or remove this week. Why did you choose it?
3. How does thinking about your digital privacy connect to the concept of mana motuhake (self-determination over your own data)?
Level 4ā5: Understand how digital systems and AI tools work; evaluate the social, cultural, and ethical implications of technology; design and apply computational thinking skills to real problems.
Level 3ā4: Analyse how technology shapes relationships, power, and identity within communities; evaluate the impacts of digital innovation on society, including effects on Indigenous data sovereignty and cultural representation.
In te ao MÄori, data and knowledge are not neutral ā they carry whakapapa and obligations. MÄori Data Sovereignty (Mana Motuhake i ngÄ Raraunga) holds that MÄori have the right to govern, own, and interpret data about themselves and their communities. When digital systems are designed without this understanding, they risk perpetuating colonial patterns of extraction: taking knowledge from communities without accountability or benefit-sharing. The concept of kaitiakitanga extends naturally to the digital realm ā guardianship of what is collected, stored, and shared about us is as important as guardianship of land, water, and living knowledge systems.
Reflect on your learning. What was the most important idea? What question do you still have?
This handout is designed to be used alongside the broader unit resources available at Te Kete Ako handouts library. Related resources from the same unit are linked in the unit planner. All resources are provided ā no additional preparation is required to use this handout in your classroom.
Students will develop critical digital literacy by examining the ethical dimensions of AI systems, exploring how kaupeka matihiko (digital technologies) reflect and shape our values, and connecting concepts of tino rangatiratanga (self-determination) to digital sovereignty and data rights in Aotearoa.
Scaffold support: Provide worked examples of AI bias scenarios with entry-level sentence starters. Offer extension tasks requiring students to research and present a case study of algorithmic injustice affecting indigenous communities.
ELL / ESOL: Pre-teach key digital technology vocabulary (algorithm, bias, data, sovereignty). Allow students to discuss concepts in home language before writing in English.
Inclusion: Use accessible formats with clear headings and visual supports. Neurodiverse learners benefit from structured ethical frameworks (e.g. decision trees) to navigate complex AI ethics scenarios.
MÄtauranga MÄori lens: Connect AI ethics to tikanga MÄori values ā particularly kaitiakitanga of data (who owns and controls information about MÄori communities) and the principle of manaakitanga in how technologies should serve people equitably. Discuss the risks of algorithmic bias replicating colonial harm.
Prior knowledge: Best used after introductory digital technology concepts. No specialist prior knowledge required for entry-level engagement.