Science and technology
Progression step 2 - computation is the foundation for our digital world:
- I can safely use a range of tools, materials and equipment to construct for a variety of reasons
- I am beginning to explain the importance of accurate and reliable data to ensure a desired outcome
- I can follow instructions to build and control a physical device
Progression step 3 - computation is the foundation for our digital world:
- I can use sensors and actuators in systems that gather and process data about the systems’ environment
Progression step 4 - computation is the foundation for our digital world:
- I can select and use multiple sensors and actuators that allow computer systems to interact with the world around them.
- I can choose the most appropriate format for the storage and interrogation of data.
- I can make use of mathematical and logical operators in different software tools to investigate a line of inquiry independently.
Progression step 4 - being curious and searching for answers is essential to understanding and predicting phenomena:
- I can use my findings to draw valid conclusions.
- I can evaluate and identify ways of improving the reliability of data, taking anomalies into account.
Progression step 5 - - being curious and searching for answers is essential to understanding and predicting phenomena:
- I can critically evaluate the quality of data and justify improvements.
Read the full science and technology curriculum
Humanities
Progression step 2 - Our natural world is diverse and dynamic, influenced by processes and human actions:
- I can describe how people and the natural world may impact on each other
Progression step 3 - Our natural world is diverse and dynamic, influenced by processes and human actions:
- I can describe and give simple explanations about the impact of human actions on the natural world in the past and present
Read the full humanities curriculum
Mathematics and numeracy
Progression step 4 - Statistics represent data, probability models chance and both support informed inferences and decisions.
- I can make informed choices about how to organise and represent data, using a wide range of graphs and charts, including pie charts, frequency diagrams and frequency polygons.
- I can explore trends and anomalies in data sets, investigating correlation between two variables.
- I can use data to draw conclusions about hypotheses and I have communicated my findings clearly. I can critique my own methods and findings
Progression step 5 - Statistics represent data, probability models chance and both support informed inferences and decisions.
- I can critically analyse statistics, considering how data is represented, its reliability, and whether and how the data has been manipulated to tell a particular story. I can make informed decisions based on statistical evidence, identifying bias and anomalies.
Read the full mathematics and numeracy curriculum
Digital competence framework
Progression step 1 - data and computational thinking - problem-solving and modelling:
- I can recognise and follow instructions in the appropriate order to perform a task.
- I can organise, select and use simple language to give instructions to others.
- I can control devices giving instructions.
- I can identify errors in simple sets of instructions (algorithm).
Progression step 2 - data and computational thinking - problem-solving and modelling:
- I can detect and correct mistakes which cause instructions (a solution) to fail (debug).
- I can create and record verbal, written and symbolic instructions to test ideas, e.g. the order of waking up through a diagram or flowchart.
- I can change instructions to achieve a different outcome.
- I can identify repetitions or loops in a sequence, e.g. identify where to shorten a set of instructions by repeating steps, for instance when learning a new song.
Progression step 3 - data and computational thinking - problem-solving and modelling:
- I can create and refine algorithms and flowcharts to solve problems, making use of features such as loops, Boolean values and formulae.
- I can understand the importance of the order of statements within algorithms.
Progression step 1 - data and computational thinking – data information literacy:
- I can collect data found in my environment.
- I can present and evaluate my data by creating simple charts, e.g. pictogram.
Progression step 2 - data and computational thinking – data information literacy:
- I can collect, enter, organise and analyse data into different groups or formats, e.g. tables, charts, databases and spreadsheets.
- I can extract and evaluate information from tables and graphs to answer questions.
Progression step 4 - data and computational thinking – data information literacy:
- I can perform analysis on simple data sets including grouping data as appropriate.
Progression step 5 - data and computational thinking – data information literacy:
- I can use appropriate programs to produce statistical evidence based on my own collected data/identified scenario and justify reasoning.
- I can use my data to explain and add validity to conclusions and, where possible, modify conclusions and/or hypothesis.
Progression step 1 - producing - evaluating and improving digital content:
- I can comment on work in relation to a single success criterion.
Progression step 2 - producing - evaluating and improving digital content:
- I can give an opinion about my own work and suggest improvements based on the success criteria.
Read the digital competence framework