Spring 2023

COMPSCI 194 244 - LEC 244

Special Topics

STAR Assessments for Proficiency-Based Learning

Armando Fox, Dan Garcia

Jan 17, 2023 - May 05, 2023

10:00 am - 11:29 am

Class #:33950

Units: 3

Instruction Mode: Online

Offered through Electrical Engineering and Computer Sciences

Current Enrollment

Total Open Seats: 12

Enrolled: 8

Waitlisted: 0

Capacity: 20

Waitlist Max: 0

Open Reserved Seats:

1 reserved for Electrical Engineering and Computer Sciences (EECS), EECS/Nuclear Engineering, EECS/Materials Science and Engineering, or Computer Science Majors

1 reserved for Non-EECS Declared Engineering Majors

Hours & Workload

1 to 4 hours of instructor presentation of course materials per week, and 2 to 8 hours of outside work hours per week.

Course Catalog Description

Topics will vary semester to semester. See the Computer Science Division announcements.

In this special topics course, small teams (2-3) of graduate and undergraduate students will use PrairieLearn to develop and rigorously evaluate rich, machine-gradable assessments that would address learning goals that might arise in typical EECS courses. The assessments will promote mastery learning (aka proficiency learning) by following the acronym STAR: Specific to a particular competency, Tagged to specific learning outcomes, Autogradable, and Randomized so that many variants can be auto-generated on demand. In addition to developing assessments, student teams will evaluate them by using the methods of HCI and education research to run either informal or formal pilot studies. We will encourage students to make any resulting artifacts available as open educational resources.