2020 Call for Proposals is Open!
Background: Exec Summary / Call for Proposals (PDF)
About the Exploration
Sharing courses as a consortium can enhance curricular opportunities for students and faculty, lead to efficiency gains by combining expertise and curricular resources, and provide opportunities for our faculty and students to explore digitally-enhanced, collaborative modes for teaching and learning in the liberal arts.
Based on insights from earlier course sharing pilots, a multi-campus, multidisciplinary LACOL Steering Committee and Course Design Task Force invite exploration of models and techniques for sharing courses digitally across LACOL’s digital network.
While there is not a one-size-fits all approach, there are plenty of proven models and teaching techniques to draw on. Support for shared courses will depend on a thriving network of relationships across faculty, IT, library, and academic support offices.
2020 Shared Courses
- Introduction to Data Science (Summer 2020)
- Linear Programming (Spring 2020)
- Bayesian Inference with Python; Data Confidentiality (Spring 2020)
- Intermediate German Link Up (Fall 2020)
2019 Shared Courses
- Introduction to Data Science (Summer 2019)
- Bayesian Statistics (Spring 2019, Fall 2019)
- Operations Research (Fall 2019)
- Course Sharing for Portuguese SILP (Fall 2019/Spring 2020)
2017 -2018 Shared Course Pilots
Course Sharing for Portuguese (SILP)
In the Fall 2017/Spring 2018, Vassar College and Williams College shared a tutor and teaching resources for their students learning Portuguese via their Self-Instructional Language Programs.
Read more: https://lacol.net/project-summary-silp
Upper Level Math/Stats
In Spring and Fall of 2017, several LACOL colleges collaborated to pilot three shared course offerings for advanced mathematics and statistics:
- Putnam Problem Solving, Spring ‘17 (Prof. S. Miller, WIlliams College)
- Advanced Real Analysis, Fall ‘17 (Prof. S. Garcia, Pomona College)
- Bayesian Statistics, Fall ‘17 (Prof. M. Hu, Vassar College)
Multidisciplinary Advisory Group
This group was convened in January 2018 to advance the course sharing exploration over the course of the spring term. Based on recommendations from the Math/Stats steering group as a starting point, this group is considering a wider range of opportunities across the disciplines and the policies and processes to support a course sharing agreement and framework.
Steering Committee: Members
Course Design Task Force:
This group was convened in January 2018. They are charged with developing technical and design guidelines to support robust teaching, learning and student engagement as part of a course sharing framework that may emerge from these deliberations.
Task Force: Members
- Sharing Courses in Self-Instructional Language Programs through Online Conversation
- Course Sharing for Self-Instructional Language Learning (SILP)
- Operations Research – Shared Course Opportunity, Spring 2020
- Bayesian Statistics – Shared Course Opportunity, Fall 2019
- Professors present math/stats course sharing pilot at EDUCAUSE ELI
- Upper Level Math & Stats Course Exchange
- Where’s my remote? Shared upper level math courses across schools
- Project Update: Upper Level Stats shared course pilot added for Fall 2017
- Exploration of Blended Course Offerings for Upper Level Mathematics