# data[].attributes.headline
can use sub ideas and pull out main ideas for the whole book 

# data[].attributes.subject
can use sub ideas and pull out main ideas for the whole book 

# data[].attributes.headline
Summarizes by borrowing language from heading and text

# data[].attributes.subject
Summarizes by borrowing language from heading and text

# data[].attributes.headline
Use immediate context to give an accurate definition

# data[].attributes.subject
Use immediate context to give an accurate definition

# data[].attributes.headline
Use the text and text features to define a word

# data[].attributes.subject
Use the text and text features to define a word

# data[].attributes.headline
Distinguish details that are most essential.

# data[].attributes.subject
Distinguish details that are most essential.

# data[].attributes.headline
Identifies one fact or key detail to compare or contrast

# data[].attributes.subject
Identifies one fact or key detail to compare or contrast

# data[].attributes.headline
Identifies multiple facts to compare and contrast

# data[].attributes.subject
Identifies multiple facts to compare and contrast

# data[].attributes.headline
Support main idea with information from the text.

# data[].attributes.subject
Support main idea with information from the text.

# data[].attributes.headline
Use precise multiple details to support the main idea.

# data[].attributes.subject
Use precise multiple details to support the main idea.

# data[].attributes.headline
Identify how the details support the main idea.

# data[].attributes.subject
Identify how the details support the main idea.

# data[].attributes.headline
Describe how the facts connect and support the main idea.

# data[].attributes.subject
Describe how the facts connect and support the main idea.

# data[].attributes.headline
Collects details from the whole chapter, including ideas that come from the text it's features.

# data[].attributes.subject
Collects details from the whole chapter, including ideas that come from the text it's features.

# data[].attributes.headline
combine information from specific text features to the text itself

# data[].attributes.subject
combine information from specific text features to the text itself

# data[].attributes.headline
studies details in text features to go deeper into the text

# data[].attributes.subject
studies details in text features to go deeper into the text

# data[].attributes.headline
combine facts in text and make inferences

# data[].attributes.subject
combine facts in text and make inferences

# data[].attributes.headline
List several specific facts from across many parts of a section in the book.

# data[].attributes.subject
List several specific facts from across many parts of a section in the book.

# data[].attributes.headline
uses text features to go beyond text and further learning

# data[].attributes.subject
uses text features to go beyond text and further learning

# data[].attributes.headline
Understand why the author included certain information.

# data[].attributes.subject
Understand why the author included certain information.

# data[].attributes.headline
synthesize info across a portion of the text

# data[].attributes.subject
synthesize info across a portion of the text

# data[].attributes.headline
uses original language to reveal text complexity of the main idea

# data[].attributes.subject
uses original language to reveal text complexity of the main idea

# data[].attributes.headline
Compare similarities among details and contrast differences.

# data[].attributes.subject
Compare similarities among details and contrast differences.

# data[].attributes.headline
Organizes into categories to compare or contrast

# data[].attributes.subject
Organizes into categories to compare or contrast

# data[].attributes.headline
Considers authors craft and why the author chose a word or phrase

# data[].attributes.subject
Considers authors craft and why the author chose a word or phrase