Webinar: Data Science on ramps and scaffolds (Nov 9)

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Event: Data Science: On ramps and scaffolds
Location: ZOOM web conference (rsvp to eevans@haverford.edu for a meeting invite)
Date: Friday, November 9
Time: 1:00-2:00pm Eastern
Discussion Leads: 
⇒ Ming-Wen An, Assoc. Professor of Statistics, Vassar College
⇒ Ella Foster-Molina, Teaching Associate, Quantitative Skills Laboratory, Swarthmore College

Prework:

Related Event: Envisioning a “What is data science?” webinar for students (Oct 1, 2018)

Description: Following on from the lively July webinar focused on the NAS Data Science for Undergraduates report (nap.edu/25104), LACOL DS+ members are invited to join a follow up webinar .

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Bayesian Statistics – Shared Course Opportunity, Spring 2019

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Jingchen (Monika) Hu, Assistant Professor of Statistics at Vassar College
Prof. Jingchen (Monika) Hu, Vassar College

Shared LACOL Course: Bayesian Statistics
Instructor: Professor Jingchen (Monika) Hu, Vassar College

Topics and Objectives:

  1. Understanding of basic concepts in Bayesian statistics and ability to apply Bayesian inference approaches to solve scientific research problems and real-word problems.
  2. Ability and skills to use statistical programming software (R/RStudio and JAGS) to realize Bayesian analysis.
  3. Practice of reading, discussing, and critiquing statistics research journal papers.

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Under Development: Introduction to Critical Data Science (shared course)

Coming in 2019 …

Introduction to Critical Data Science (co-taught course, shared digitally)

Learning Objectives:

  1. Familiarity and expertise in basic coding (R or python, Excel).
  2. Understanding of theory and application of basic concepts in statistics.
  3. Ability to write and present technical material to diverse audiences.

Course Sequence:

  • Intensive 8-week course with data lab component (fully digital)
  • Student centered learning design including pre-recorded lectures, real-time lectures, and laboratory/supported work time
  • Course to be co-taught by 4-5 instructors (one from each participating campus)
  • Delivery is fully online with some scheduled and some asynchronous events.

Level: This class is intended for non-majors.  There are no formal prerequisites; preference will be given for students with no prior coding experience; preference will be given to students who have taken college-level calculus.  Enrollment must be approved by the student’s advisor at their home institution and by a lead course instructor.

Course Team: tba (more…)

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Toward a LACOL course sharing framework (2018/2019)

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2018/2019 Call for Proposals: 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.

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Measuring Complex Domains for the Liberal Arts

Session: Measuring Complex Domains for the Liberal Arts (Inclusive Pedagogies)
Date/Time: Thursday, May 31, 1:30-2:15PM
Resources:
Project site: https://emergentedu.org
About Sensemaker: http://cognitive-edge.com/sensemaker/#sensemaker-about
Lead Presenters:
Kristen Eshleman, Director of Digital Innovation, Davidson College
Brent Maher, Director of Academic Assessment, Davidson College
Annie Sadler, Instructional Design Fellow, Davidson College
Paul Youngman, Prof. of German, Chair, Digital Humanities, Washington & Lee University

WATCH!  Intro video (15 min)

Innovations in assessment can directly address a key challenge for our institutions – demonstrating our value in a time of increasing skepticism about the liberal arts.

On April 27, Davidson College and Washington & Lee University hosted a LACOL workshop to explore an assessment tool and method called  Sensemaker that has the potential to manage and account for the complex domains of learning.  Pursuing a research design as a network of allied liberal arts institutions provides evidence at scale while building capacity for experimentation and innovation at each of our institutions.  (more…)

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