Geographic Tools

Overview

In this lesson (Lesson 10 of 20) students use geographic tools to explore how graphs and augmented reality (AR) help analyse liveability data. They collect and record information, then communicate findings using appropriate geographical terminology.

Learning intentions

• Students will collect and record liveability data using a prepared data set and a simple graphing template.
• Students will use graphs to interpret patterns and make evidence-based claims about human wellbeing.
• Students will use augmented reality (AR) or a simulation to view location-based liveability indicators and connect them to map/graph evidence.
• Students will communicate findings using geographical terminology for human wellbeing and development.

Success criteria

• I can choose the right graph type for the data and label axes and units correctly.
• I can describe at least two patterns I notice using evidence from the graph.
• I can make a claim about liveability that is supported by data (not just opinion).
• I can explain a perspective or implication for wellbeing using correct geographical terminology.

Curriculum links

• GELS-TAP-02: Students use geographical tools for inquiry (graphs and AR to support investigation of liveability).
• GELS-TAP-01: Students collect and record geographical information (recording graph readings and AR observations).
• GELS-PER-01: Students identify perspectives of people or organisations on a geographical issue (implications for wellbeing and services).
• GELS-COM-01: Students communicate information using geographical terminology (liveability, wellbeing, development, access, opportunity).

Lesson structure (60 minutes)

1. 0–5 min · Hook (Think–Pair–Share). Teacher displays two contrasting liveability snapshots (or screenshots) and asks: “What might be good for wellbeing here, and what evidence could we use?” Students discuss in pairs and share quick ideas.

2. 5–12 min · Model (Direct teach: graph basics). Teacher demonstrates converting a small table of liveability indicators into a graph (e.g., bar graph for categorical comparisons, line graph for change, or dot plot for distribution), explicitly modelling axis labels, scale, and key terms. Students sketch the same graph framework in their notes without filling data yet.

3. 12–30 min · Guided task (Graphing liveability data). Teacher distributes a liveability data set (prepared for Year 7 readability) and a graphing template with prompts: “Choose a graph type, plot points/bars, add title, label axes/units, add a key if needed.” Students work in small groups (3–4) to complete one graph and record two pieces of evidence (e.g., highest/lowest indicator, trend, spread).

4. 30–41 min · AR/GR investigation (Observing wellbeing indicators). Teacher introduces AR/graphic representation: if AR devices aren’t available, teacher uses an AR-style simulation (teacher-controlled slides or interactive stations) showing localised indicators (e.g., access to services, housing stress proxies, green space). Students rotate through stations and record: one “what I see” observation and one “what it might mean for wellbeing.”

5. 41–52 min · Synthesis (Claims + evidence + perspective). Teacher provides a sentence frame bank:

• “The graph shows…”
• “This suggests liveability for wellbeing may be…”
• “From a [resident/local service/provider], this could affect…” Students complete a short written response linking graph evidence to AR observations, ensuring they use at least 3 geographical terms (e.g., liveability, wellbeing, development, access, opportunity).

6. 52–58 min · Formative check (Quick share + teacher feedback). Teacher conducts a 1-minute share per group: one pattern from the graph and one implication from AR. Teacher circulates, noting misconceptions (wrong graph choice, unclear evidence statements, missing terminology).

7. 58–60 min · Exit ticket (Individual). Students answer two prompts:

• “One pattern I found in the liveability graph is…”
• “One tool I used (graph or AR) helped me because…”

Resources

• Prepared liveability data table (print and/or digital)
• Graphing templates with axis/scale lines and “evidence” boxes
• Coloured pencils/markers and rulers
• AR-capable devices OR AR-style simulation slides/station materials
• AR station recording sheet (two-column: observation → wellbeing meaning)
• Sentence starters and geography term list (displayed)
• Teacher checklist for formative feedback

Assessment

• Teacher observation during graphing: correct graph structure, labels, and accurate plotting.
• Group evidence recording: whether patterns are described using data.
• Exit ticket: identification of a pattern and a tool-based explanation using geographical terminology.

Differentiation

• Support: Provide graphing worked examples with partially completed axes; offer a “graph type choice” card (when comparing categories vs showing change). Supply sentence starters and a word bank for wellbeing/development terms.
• Support (EAL/SEN): Allow oral response recording (audio or teacher scribing) for the written synthesis; highlight key words in the data set and prompts.
• Challenge (advanced learners): Require an additional comparison or reasoning step: “Which indicator most strongly explains differences in liveability and why?” Add a requirement to justify graph choice and estimate values from the graph (with a scale reference).
• Collaboration structure: Use mixed-ability group roles (Graph Captain, Evidence Recorder, AR Reporter, Terminology Checker) so all students contribute meaningfully.

Extension (optional)

• Students choose one AR-indicator from the station and create a mini “liveability evidence statement” that links three data points (from the graph) to one wellbeing outcome, then predicts one potential improvement strategy (without naming a policy—focus on the reasoning).