Reforming and Aligning PHY 2048�Using Obojobo Next Learning Modules and Aligned Assessments
Project Team Members
Group Member | College | Department | Department Chair |
Zhongzhou Chen | COS | Physics | Josh Colwell |
Richard Jerousek | COS | Physics | Josh Colwell |
Luca Argenti | COS | Physics | Josh Colwell |
Madhab Neupane | COS | Physics | Josh Colwell |
Xiaofeng Feng | COS | Physics | Josh Colwell |
Goals for the Redesign
with two to four possible variations for detailed implementations. Provide resources including videos and worksheets that enable instructors to teach in a blended, active learning format in both lecture and studio sections of PHY 2048.
consisting of automated and randomized problems organized according to learning objectives, and an aligned assessment plan of all sections based on the problem bank.
To ensure that the course will remain 100% OER in the future.
Goals for the Redesign
4. A set of processes and procedures to continuously incentivize, incorporate and evaluate data driven instructional innovations.
5. A mentorship mechanism:
for pedagogical and technological knowledge to be passed on from one instructor cohort to the next, and a “user manual” for new instructors in the form of a separate webcourse.
Project Description
Project Overview
This project aims to reform and align PHY 2048, a large STEM gateway GEP course, which previously had no common method for instruction and assessment across different sections.
The problems:
Project Overview
This project aims to reform and align PHY 2048, a large STEM gateway GEP course, which previously had no common method for instruction and assessment.
The goals:
Course Breakdown
Zhongzhou Chen
PHY2048, General Physics Using Calculus I
Modality: M
ObojoboNext, OER, Active Learning, eTextbook
Quality Blended review not yet requested (eligible)
Richard Jerousek, Luca Argenti, Madhab Neupane, Xiaofeng Feng.
PHY2048, General Physics Using Calculus I
Modality: P
ObojoboNext, OER, Active Learning, eTextbook
Quality Blended review not yet requested (eligible)
Supporting Details
Supporting Details
Supporting Details
Supporting Details
Supporting Details
Supporting Details
Project Highlights: ALEPH
Project Highlights: NLP problem creation
Closing Slide