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Global Inequality Lab 1
Only Sharing Permitted
CC BY-NC-ND
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These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students obtain data on the US and two other countries (one more developed and one less developed).

Subject:
Applied Science
Computer Science
Social Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Janet Michello
Date Added:
05/31/2019
Global Inequality Lab 2
Only Sharing Permitted
CC BY-NC-ND
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These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students ultimately write a function to access country level data from the CIA World Factbook.

Subject:
Applied Science
Computer Science
Social Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Janet Michello
Michello Janet
Waring Elin
Date Added:
05/31/2019
Using Big Data to Identify and Understand Educational Inequality in America
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This is the first of two lessons/labs for teaching and learning of computer science and sociology. Either and be used on their own or they can be used in sequence, in which case this should be used first.

Students will develop CS skills and behaviors including but not limited to: learning what an API is, learning how to access and utilize data on an API, and developing their R coding skills and knowledge. Students will also learn basic, but important, sociological principles such as how poverty is related to educational opportunities in America. Although prior knowledge of CS and sociology is helpful, neither is necessary for student (or instructor) success on this two-week project. Three instructional hours per week (total of six hours over two weeks).

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Joseph Cleary
Date Added:
07/01/2019
Using Big Data to Identify and Understand Educational Inequality in America
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This lesson is connected to but can be used independently of "Using Big Data to Identify and Understand Educational Inequality in America (1)"

Students will develop CS skills and behaviors including but not limited to: learning what an API is, learning how to access and utilize data on an API, and developing their R coding skills and knowledge. Students will also learn basic, but important, sociological principles such as how poverty is related to educational opportunities in America (and how this relationship varies between and among states). Although prior knowledge of CS and sociology is helpful, neither is necessary for student (or instructor) success on this project. Three instructional hours.

Subject:
Applied Science
Computer Science
Social Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Joseph Cleary
Date Added:
07/01/2019