https://www.weather2visit.com/europe/ireland/sligo.htm

Weather Data Graphs

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ST Name: Kym Fox

ST Number: 40036679
Class Level: 2nd & 3rd Class
Date: 29/04/2025

Subject: Maths
Time: 10:40
Duration of Lesson: 60 Minutes
No of Pupils: 19

Strand(s): Data and Chance
Strand Unit(s)/Element(s): Data

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Learning Outcome(s) / Content Objectives

• Pose questions of interest and collect, display and critically analyse data in a range of ways for a range of purposes and communicate the findings.

Learning Objectives

1. The child should be enabled to interpret and draw bar charts to represent collected data related to weather.
2. The child should be enabled to identify the mode (most frequent value) in a given data set and relate this to their bar chart.

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Assessment

1. Method: Observation during group work and individual questioning; evaluation of completed bar charts.
2. Assessment of: Understanding of bar chart concepts, ability to construct accurate bar charts, identification of mode.
3. To be recorded: Notes on pupil participation, correctness and neatness in bar chart drawing, pupil responses during questioning.

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Teacher Questioning

Lower order questions (Closed Questions)

1. What is a bar chart? (I)
2. How many months do we have in a year? (I)
3. Can you name one way weather changes during the year? (I)

Higher order questions (Open Questions)

1. Why do you think the temperature is higher in some months than others? (D)
2. How can the mode help us understand the weather better for a county? (C)
3. Can you predict what might happen to the bar chart if we add data from more years? (C)

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Language Development Opportunities

• Use of mathematical vocabulary: bar chart, mode, axis, data, frequency, average, temperature.
• Encourage sentence construction: “The highest bar shows...”, “The mode is... because...”

Literacy Development Opportunities

• Reading and interpreting numeric data from tables.
• Writing short explanations for their bar charts and mode identification.
• Using weather-related descriptive language in discussions.

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Teaching Methodologies

Underline primary methods:

• Using cognitively challenging tasks
• Promoting Maths Talk
• Fostering productive disposition
• Encouraging playfulness
• Emphasising mathematical modelling

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Introduction (15 minutes)

• Stimulus:
  Show a large sample bar chart displaying the average temperatures for one Irish county (example Sligo) using a prepared poster or projected image. Use the weather theme to engage pupils (“How does the weather change through the year?”).

• Elicit prior knowledge:
  Ask pupils if they have seen bar charts before. Talk about weather changes they know (seasonal). Briefly discuss months and temperature changes.

• Share learning intention:
  “Today we will learn how to read and draw bar charts using real weather data for Irish counties. We will also learn about the mode, the most common temperature.”

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Development (35 minutes)

• Step 1: Introduction to bar charts (10 mins)

  • Break down bar charts into parts: x-axis (months), y-axis (temperature), bars representing temperature values.
  • Demonstrate drawing a bar chart step-by-step using Sligo data on board or projector. Use rulers for neat bars.
  • Highlight labels and scales.

• Step 2: Introduction to mode (5 mins)

  • Explain mode as the temperature that appears most often in data.
  • Use weather data from the sample bar chart and ask pupils to find the mode months (e.g., temperature 12°C occurs most).

• Step 3: Group activity (20 mins)

  • Divide pupils into 5 groups (each with 3-4 children).
  • Provide each group with a handout containing average monthly temperatures for a different Irish county’s 2024 data (printed on A3).
  • Groups use rulers, pencils to draw bar charts on A3 paper displaying their county’s weather data. Encourage accurate labelling.
  • Pupils identify the mode temperature for their county and write a sentence about it on the chart.
  • Teacher circulates, supporting groups and promoting Maths Talk by asking guiding questions: “What month does this bar represent?”, “Which temperature is the mode here?”

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Conclusion (10 minutes)

• Cognitive:
  Each group shares their bar chart with the class. They explain one interesting fact about their county’s weather, identifying the mode. Teacher summarises key ideas about bar charts and mode, reinforcing understanding.

• Social:
  Praise cooperative work and encourage listening and asking questions from peers.

• Transition:
  Inform pupils that next week they will use their knowledge to compare weather between counties using their bar charts.

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Universal Design for Learning (UDL)

Pupil(s)	Reason(s)	Method(s)	Additional Comments/
Pupils with visual difficulties	Difficulties reading data	Use large print handouts and verbal descriptions	Teacher reads out data on request
Pupils needing kinaesthetic learning	Better engagement through movement	Group work with physical rulers and drawing	Encourage tactile engagement with materials
EAL learners	New vocabulary	Use of pictures and word banks related to weather	Paired with fluent English speaker peers for support

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The Learning Environment

• Arrange desks in clusters to facilitate group work.
• Provide quiet workspace areas for concentration.

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Resources

• X5 A3 pages for bar chart drawing
• Rulers
• X5 handouts of different counties’ average monthly temperatures in 2024
• Large poster or projected bar chart of Sligo’s temperatures
• Whiteboard and markers
• Weather vocabulary word bank posters

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Note on Alignment to Irish Curriculum:
This lesson plan aligns closely with the Primary Curriculum (1999) Mathematics strand “Data and Chance” and the learning outcome in strands for 2nd and 3rd class pupils:

• Representing and interpreting data (bar charts).
• Exploring mode as a statistical measure, supporting early data literacy.
• Emphasising real-life contexts (weather) which meet the Social, Environmental and Scientific Education (SESE) integration with Maths, relevant to the theme week on weather.

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This engaging, culturally relevant lesson plan encourages active student participation, strong cross-curricular links, and meaningful use of authentic data to foster deeper mathematical understanding.