Produced by Gatsby Science Enhancement Programme, the resources in this section help students to develop their skills in representing data.
In this skill area, students focus on the subject of visuals. With many diverse forms of representation, visual representations can help students to understand written scientific content. In particular, texts that require complex, deep and abstract thinking. Used skilfully, they can help students to link pieces of information together, to arrange them in logical continuums and to develop a better understanding of meanings and implications.
The section looks at:
* types of visual representations
* learning from tables
* processing and using data
* graphs and their interpretation
There are trainer development materials associated with the delivery of learning activities in this skill area. They can be found at: LSS Skill Area 4 Training.
This activity, produced by Gatsby Science Enhancement Programme, challenges students to explore a large data set to identify any interesting trends. Students are then asked to suggest an explanation for each of the trends they identify. Similarly, the students are asked to identify and explain anomalies in the data...
Produced by Gatsby Science Enhancement Programme, this activity helps student to formulate questions relating to graphs and so gain a deeper understanding of the data represented.
This activity asks students to look at a graph and interpret the information it contains. They are then asked to devise questions...
Produced by Gatsby Science Enhancement Programme, this activity encourages students to develop skills in analysing graphs and matching graph shapes to different phenomena.
The activity looks at different shapes of graphs and how they describe the relationship between two variables. It is a revision activity...
In this activity, produced by Gatsby Science Enhancement Programme, students are given a set of raw data and are asked to convert it into a data table before selecting an appropriate visual presentation.
The activity will help students to:
* organise large amounts of data effectively and clearly into a...