Week 3
Intelligence, Testing, and Educational Measurement
September 16-18
Embedded Files
Programming Concepts and Learning Outcomes:
Sorting and Ordering
Syntax and Logic in R
Creation of Data Frames
Advanced Index and Column Access
Tuesday Class Section
Tuesday Class Section
Intelligence, Testing, and Educational Measurement (slides)
Topics:
Psychometrics and Test Development
(The Dark) Standardized Testing History
Link to data for today: HarvardPhysicsStudy.csv
Link to code for today: Week3TuesdayCodeOutline.R
Link to the full code: Week3TuesdayCodeOutlineAsUsedInClass.R
Due today:
🔢 Intelligence Quotient (IQ) Presentation
📚 Big Data Chp. 5 Datafication, Reading Due:
Questions for you:
what is "good" data?
what shouldn't be datafied?
Dear Data (1) - Health/Wellness theme
Thursday Class Section
Thursday Class Section
Intelligence, Testing, and Educational Measurement (slides)
Cultural Bias in Assessment
Algorithmic Decisions
Link to code for today: Week3CodeOutlineThursday.R; Week3ThursdayAsUsedInClass.R
We will use the same data as Tuesday.
Due Today:
🔢SAT Scores Presentation
Problem Set 1 Due
🔔Next Week:
Voting Age Presentation
Link to folder: "Behind The Number Presentation"
Dear Data postcard (2) - Assessment/Learning Theme
Weapons of Math Destruction Reading due
Driving Age Presentation
Link to folder: "Behind The Number Presentation"
TUESDAY, SEP 23
THURSDAY, SEP 25
📚To read before next Tuesday:
O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.
Link: Weapons of Math Destruction: Chapter 1
There is no quick reading guide this week. Instead: Make a table of at least six rows pulling out details/examples/points from O'Neil and how they translate to the Bowdoin Course Questionnaire system. Essentially, what are equivalent concerns to keep in mind as we start thinking about the bigger project for the semester?
Page updated
Report abuse