# data[].attributes.headline
Formulate: Express precisely and systematically the relevant concept(s) or argument(s).

# data[].attributes.subject
Formulate: Express precisely and systematically the relevant concept(s) or argument(s).

# data[].attributes.headline
Document Credit sources of information used by referencing (or citing) following a recognized referencing system. References should be included in the text and also at the end of the piece of work in a reference list or bibliography.

# data[].attributes.subject
Document Credit sources of information used by referencing (or citing) following a recognized referencing system. References should be included in the text and also at the end of the piece of work in a reference list or bibliography.

# data[].attributes.headline
Use:MYP: Apply knowledge or rules to put theory into practice. (See also “Apply”.)

# data[].attributes.subject
Use:MYP: Apply knowledge or rules to put theory into practice. (See also “Apply”.)

# data[].attributes.headline
Synthesize:Combine different ideas in order to create new understanding.

# data[].attributes.subject
Synthesize:Combine different ideas in order to create new understanding.

# data[].attributes.headline
Summarize:Abstract a general theme or major point(s).

# data[].attributes.subject
Summarize:Abstract a general theme or major point(s).

# data[].attributes.headline
Recall: Remember or recognize from prior learning experiences.

# data[].attributes.subject
Recall: Remember or recognize from prior learning experiences.

# data[].attributes.headline
Prioritize Give relative importance to, or put in an order of preference.

# data[].attributes.subject
Prioritize Give relative importance to, or put in an order of preference.

# data[].attributes.headline
Otherwise MYP: It is suggested that the preceding work is used, but other methods could also receive credit.

# data[].attributes.subject
Otherwise MYP: It is suggested that the preceding work is used, but other methods could also receive credit.

# data[].attributes.headline
Organize Put ideas and information into a proper or systematic order.

# data[].attributes.subject
Organize Put ideas and information into a proper or systematic order.

# data[].attributes.headline
Develop Improve incrementally, elaborate or expand in detail. Evolve to a more advanced or effective state.

# data[].attributes.subject
Develop Improve incrementally, elaborate or expand in detail. Evolve to a more advanced or effective state.

# data[].attributes.headline
Critique Provide a critical review or commentary, especially when dealing with works of art or literature. 

# data[].attributes.subject
Critique Provide a critical review or commentary, especially when dealing with works of art or literature. 

# data[].attributes.headline
Create Evolve from one’s own thought or imagination, as a work or an invention.

# data[].attributes.subject
Create Evolve from one’s own thought or imagination, as a work or an invention.

# data[].attributes.headline
Write down Obtain the answer(s), usually by extracting information. Little or no calculation is required. Working does not need to be shown.

# data[].attributes.subject
Write down Obtain the answer(s), usually by extracting information. Little or no calculation is required. Working does not need to be shown.

# data[].attributes.headline
Verify Provide evidence that validates the result.

# data[].attributes.subject
Verify Provide evidence that validates the result.

# data[].attributes.headline
Trace: Follow and record the action of an algorithm.

# data[].attributes.subject
Trace: Follow and record the action of an algorithm.

# data[].attributes.headline
Trace Follow and record the action of an algorithm.

# data[].attributes.subject
Trace Follow and record the action of an algorithm.

# data[].attributes.headline
To what extent Consider the merits or otherwise of an argument or concept. Opinions and conclusions should be presented clearly and supported with appropriate evidence and sound argument.

# data[].attributes.subject
To what extent Consider the merits or otherwise of an argument or concept. Opinions and conclusions should be presented clearly and supported with appropriate evidence and sound argument.

# data[].attributes.headline
Suggest Propose a solution, hypothesis or other possible answer.

# data[].attributes.subject
Suggest Propose a solution, hypothesis or other possible answer.

# data[].attributes.headline
State Give a specific name, value or other brief answer without explanation or calculation.

# data[].attributes.subject
State Give a specific name, value or other brief answer without explanation or calculation.

# data[].attributes.headline
Solve Obtain the answer(s) using algebraic and/or numerical and/or graphical methods.

# data[].attributes.subject
Solve Obtain the answer(s) using algebraic and/or numerical and/or graphical methods.

# data[].attributes.headline
Sketch Represent by means of a diagram or graph (labelled as appropriate). The sketch should give a general idea of the required shape or relationship, and should include relevant features.

# data[].attributes.subject
Sketch Represent by means of a diagram or graph (labelled as appropriate). The sketch should give a general idea of the required shape or relationship, and should include relevant features.

# data[].attributes.headline
Show that: Obtain the required result (possibly using information given) without the formality of proof. “Show that” questions do not generally require the use of a calculator.

# data[].attributes.subject
Show that: Obtain the required result (possibly using information given) without the formality of proof. “Show that” questions do not generally require the use of a calculator.

# data[].attributes.headline
Show Give the steps in a calculation or derivation.

# data[].attributes.subject
Show Give the steps in a calculation or derivation.

# data[].attributes.headline
Prove Use a sequence of logical steps to obtain the required result in a formal way.

# data[].attributes.subject
Prove Use a sequence of logical steps to obtain the required result in a formal way.

# data[].attributes.headline
Present Offer for display, observation, examination or consideration.

# data[].attributes.subject
Present Offer for display, observation, examination or consideration.

# data[].attributes.headline
PredictMYP: Give an expected result of an upcoming action or event.

# data[].attributes.subject
PredictMYP: Give an expected result of an upcoming action or event.

# data[].attributes.headline
Plot:  Mark the position of points on a diagram.

# data[].attributes.subject
Plot:  Mark the position of points on a diagram.

# data[].attributes.headline
Outline:  Give a brief account or summary.

# data[].attributes.subject
Outline:  Give a brief account or summary.

# data[].attributes.headline
Measure:  MYP: Obtain a value for a quantity. Obtain a value for a quantity.

# data[].attributes.subject
Measure:  MYP: Obtain a value for a quantity. Obtain a value for a quantity.

# data[].attributes.headline
Measure:  DP: Obtain a value for a quantity.

# data[].attributes.subject
Measure:  DP: Obtain a value for a quantity.

# data[].attributes.headline
List:  Give a sequence of brief answers with no explanation.

# data[].attributes.subject
List:  Give a sequence of brief answers with no explanation.

# data[].attributes.headline
Label:  MYP: Add a title, labels or brief explanation(s) to a diagram or graph.

# data[].attributes.subject
Label:  MYP: Add a title, labels or brief explanation(s) to a diagram or graph.

# data[].attributes.headline
Justify:  Give valid reasons or evidence to support an answer or conclusion.

# data[].attributes.subject
Justify:  Give valid reasons or evidence to support an answer or conclusion.

# data[].attributes.headline
Investigate: Observe, study, or make a detailed and systematic examination, in order to establish facts and reach new conclusions.

# data[].attributes.subject
Investigate: Observe, study, or make a detailed and systematic examination, in order to establish facts and reach new conclusions.

# data[].attributes.headline
Interpret: Use knowledge and understanding to recognize trends and draw conclusions from given information.

# data[].attributes.subject
Interpret: Use knowledge and understanding to recognize trends and draw conclusions from given information.

# data[].attributes.headline
Integrate: Obtain the integral of a function.

# data[].attributes.subject
Integrate: Obtain the integral of a function.

# data[].attributes.headline
Identify: MYP: Provide an answer from a number of possibilities. Recognize and state briefly a distinguishing fact or feature.

# data[].attributes.subject
Identify: MYP: Provide an answer from a number of possibilities. Recognize and state briefly a distinguishing fact or feature.

# data[].attributes.headline
Identify: DP: Provide an answer from a number of possibilities.

# data[].attributes.subject
Identify: DP: Provide an answer from a number of possibilities.

# data[].attributes.headline
Hence or otherwise: It is suggested that the preceding work is used, but other methods could also receive credit.

# data[].attributes.subject
Hence or otherwise: It is suggested that the preceding work is used, but other methods could also receive credit.

# data[].attributes.headline
Hence: Use the preceding work to obtain the required result.

# data[].attributes.subject
Hence: Use the preceding work to obtain the required result.

# data[].attributes.headline
Find: Obtain an answer showing relevant stages in the working.

# data[].attributes.subject
Find: Obtain an answer showing relevant stages in the working.

# data[].attributes.headline
Explore: Undertake a systematic process of discovery.

# data[].attributes.subject
Explore: Undertake a systematic process of discovery.

# data[].attributes.headline
Explain: Give a detailed account including reasons or causes.

# data[].attributes.subject
Explain: Give a detailed account including reasons or causes.

# data[].attributes.headline
Examine: Consider an argument or concept in a way that uncovers the assumptions and interrelationships of the issue.

# data[].attributes.subject
Examine: Consider an argument or concept in a way that uncovers the assumptions and interrelationships of the issue.

# data[].attributes.headline
Evaluate: Make an appraisal by weighing up the strengths and limitations.

# data[].attributes.subject
Evaluate: Make an appraisal by weighing up the strengths and limitations.

# data[].attributes.headline
Estimate: - MYP:  Obtain an approximate value for an unknown quantity.

# data[].attributes.subject
Estimate: - MYP:  Obtain an approximate value for an unknown quantity.

# data[].attributes.headline
Estimate: - DP:  Obtain an approximate value.

# data[].attributes.subject
Estimate: - DP:  Obtain an approximate value.

# data[].attributes.headline
Draw: Represent by means of a labelled, accurate diagram or graph, using a pencil. A ruler (straight edge) should be used for straight lines. Diagrams should be drawn to scale. Graphs should have points correctly plotted (if appropriate) and joined in a straight line or smooth curve.

# data[].attributes.subject
Draw: Represent by means of a labelled, accurate diagram or graph, using a pencil. A ruler (straight edge) should be used for straight lines. Diagrams should be drawn to scale. Graphs should have points correctly plotted (if appropriate) and joined in a straight line or smooth curve.

# data[].attributes.headline
Distinguish: Make clear the differences between two or more concepts or items.

# data[].attributes.subject
Distinguish: Make clear the differences between two or more concepts or items.

# data[].attributes.headline
Discuss: Offer a considered and balanced review that includes a range of arguments, factors or hypotheses. Opinions or conclusions should be presented clearly and supported by appropriate evidence.

# data[].attributes.subject
Discuss: Offer a considered and balanced review that includes a range of arguments, factors or hypotheses. Opinions or conclusions should be presented clearly and supported by appropriate evidence.

# data[].attributes.headline
Differentiate: Obtain the derivative of a function.

# data[].attributes.subject
Differentiate: Obtain the derivative of a function.

# data[].attributes.headline
Determine: Obtain the only possible answer.

# data[].attributes.subject
Determine: Obtain the only possible answer.

# data[].attributes.headline
Design: Produce a plan, simulation or model.

# data[].attributes.subject
Design: Produce a plan, simulation or model.

# data[].attributes.headline
Describe: -  MYP: Give a detailed account or picture of a situation, event, pattern or process.

# data[].attributes.subject
Describe: -  MYP: Give a detailed account or picture of a situation, event, pattern or process.

# data[].attributes.headline
Derive: Manipulate a mathematical relationship to give a new equation or relationship.

# data[].attributes.subject
Derive: Manipulate a mathematical relationship to give a new equation or relationship.

# data[].attributes.headline
Demonstrate: Make clear by reasoning or evidence, illustrating with examples or practical application.

# data[].attributes.subject
Demonstrate: Make clear by reasoning or evidence, illustrating with examples or practical application.

# data[].attributes.headline
Define: Give the precise meaning of a word, phrase, concept or physical quantity.

# data[].attributes.subject
Define: Give the precise meaning of a word, phrase, concept or physical quantity.

# data[].attributes.headline
Deduce: Reach a conclusion from the information given.

# data[].attributes.subject
Deduce: Reach a conclusion from the information given.

# data[].attributes.headline
Contrast: Give an account of the differences between two (or more) items or situations, referring to both (all) of them throughout.

# data[].attributes.subject
Contrast: Give an account of the differences between two (or more) items or situations, referring to both (all) of them throughout.

# data[].attributes.headline
Construct: Display information in a diagrammatic or logical form.

# data[].attributes.subject
Construct: Display information in a diagrammatic or logical form.

# data[].attributes.headline
Compare and contrast: Give an account of similarities and differences between two (or more) items or situations, referring to both (all) of them throughout.

# data[].attributes.subject
Compare and contrast: Give an account of similarities and differences between two (or more) items or situations, referring to both (all) of them throughout.

# data[].attributes.headline
Compare: Give an account of the similarities between two (or more) items or situations, referring to both (all) of them throughout.

# data[].attributes.subject
Compare: Give an account of the similarities between two (or more) items or situations, referring to both (all) of them throughout.

# data[].attributes.headline
Comment: Give a judgment based on a given statement or result of a calculation.

# data[].attributes.subject
Comment: Give a judgment based on a given statement or result of a calculation.

# data[].attributes.headline
Classify: Arrange or order by class or category.

# data[].attributes.subject
Classify: Arrange or order by class or category.

# data[].attributes.headline
Calculate: Obtain a numerical answer showing the relevant stages in the working.

# data[].attributes.subject
Calculate: Obtain a numerical answer showing the relevant stages in the working.

# data[].attributes.headline
Apply:  MYP - Use knowledge and understanding in response to a given situation or real circumstances. Use an idea, equation, principle, theory or law in relation to a given problem or issue. 

# data[].attributes.subject
Apply:  MYP - Use knowledge and understanding in response to a given situation or real circumstances. Use an idea, equation, principle, theory or law in relation to a given problem or issue. 

# data[].attributes.headline
Apply: DP - Use an idea, equation, principle, theory or law in relation to a given problem or issue.

# data[].attributes.subject
Apply: DP - Use an idea, equation, principle, theory or law in relation to a given problem or issue.

# data[].attributes.headline
Annotate: Add brief notes to a diagram or graph.

# data[].attributes.subject
Annotate: Add brief notes to a diagram or graph.

# data[].attributes.headline
Analyse: Break down in order to bring out the essential elements or structure.

# data[].attributes.subject
Analyse: Break down in order to bring out the essential elements or structure.