For Our Students: Digitally Shared Course Offerings (2018/2020)

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Sharing courses as a consortium enhances curricular opportunities and provides a forum for our faculty and students to explore digitally-enhanced, collaborative modes for teaching and learning in the liberal arts. Browse below for the latest classes available to students in the LACOL network.

Faculty take note!  LACOL’s Advisory Councils have issued a Call for Proposals inviting your ideas for novel shared course opportunities.

Data Science, Mathematics &Statistics

Introduction to Critical Data Science (Summer 2019)
Team taught, fully online course

Operations Research (Fall 2019)
Prof. Steven J. Miller, Williams College

Bayesian Statistics (Fall 2019)
Prof. Monika Hu, Vassar College

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Operations Research – Shared Course Opportunity, Fall 2019

chess

Shared LACOL Course: Operations Research
Instructor: Professor Steven J. Miller, Williams College
Enrollment Info for Students: http://bit.ly/ops-research
Syllabus & Course Website: https://web.williams.edu/Mathematics/sjmiller/public_html/317Fa19
Course Flyer: Operations Research Fall 2019 PDF
Topics and Objectives:

  1. The real world is complicated, requiring mathematicians to approximate solutions and even the statement of real world problems!
  2. While the chess scenario pictured above might appear to be a make-work problem, the efficient solution illustrates one of the most powerful ideas in mathematics, and allows us to tell in many cases how close we are to the optimal solution (even if we cannot find the optimal solution.)
  3. In this class, you will learn powerful methods from classical algorithms to advanced linear algebra and their applications to the real world, specifically linear programming and random matrix theory.
Video - S. Miller, Williams College
Click to Watch Video – S. Miller, Williams College

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Bayesian Statistics – Shared Course Opportunity, Fall 2019

bayesia no words wordpreess
Jingchen (Monika) Hu, Assistant Professor of Statistics at Vassar College
Prof. Monika Hu, Vassar College

Shared LACOL Course: Bayesian Statistics
Instructor: Professor Jingchen (Monika) Hu, Vassar College
Syllabus & Enrollment Info: http://bit.ly/bayesian-stats
Course Flyer: Bayesian Statistics PDF
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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Data Science in the Liberal Arts: June 6-7

Algorithm maze

Event: Data Science in the Liberal Arts
Date: June 6-7 (Arrival June 5)
Location: Washington & Lee University
Workshop Description: Background and Purpose
Attendees: members and associates of the LACOL DS+ working group
Registration Page: https://goo.gl/forms/JuECaI0RcnhDPYzR2 (Register by May 1)

Keynote Talk:

https://www.stthomas.edu/cisc/faculty/amelia-mcnamara.htmlData Journalism
Prof. Amelia McNamara
Department of Computer & Information Sciences
St. Thomas University

 

Agenda & Program:

  • Establishing a Think Tank on Data Science in the Liberal Arts: how do we imagine, design, and implement data science curriculums at small colleges; how do we more deeply connect data science to the liberal arts ethos.
  • Taking hands on approaches to curating, developing, and sharing liberal arts pedagogies and teaching materials for data science that broadly engage and support our students across the disciplines.

About the Data Science+ Working Group: Sparked by conversations at the LACOL summer workshop at Carleton College in 2018, the Data Science + working group is an active forum for faculty and staff to explore the frontiers of data science education at liberal arts colleges – especially looking for ways that collaboration can help to advance shared goals. DS+ held a series of lively webinars in 2018 and also helped to incubate ideas for the LACOL “Introduction to Critical Data Science” class being offered online in Summer 2019.

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Sensemaker Team Data Review – April 4 at Amherst College

Event: Exploring Complexity through Student Micro-Narratives with Sensemaker
Host: Sensemaker Team Leads (Kristen Eshleman, Brent Maher, Annie Sadler, Paul Youngman)
Date: April 4
Time: 1:00pm-5:00pm (optional group lunch at 12:00pm; details tba)
Location: The Powerhouse, Amherst College
Attendees: All Sensemaker team members and anyone interested in the project
Sensemaker: http://lacol.net/category/collaborations/projects/inclusive-pedagogies
Project Website: http://emergentedu.org
Registration: https://goo.gl/forms/ZhEPKh5ILpwB5sWP2 (Register by March 3)

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Language Instruction Jam 2019

Chianti Banner

Event: Language Instruction Jam
Location: Bryn Mawr College, Canaday Library
Date: March 23-24
Agenda: Language Jam Agenda
Attendees: Language Instruction working group and project teams

Overview of the Agenda:

  • CHIANTI: Ample time will be devoted to collaborative workshopping on CHIANTI, the shared teaching resource for college-level language instruction; participants will explore the resources that have been gathered so far (including student and faculty reflection videos on liberal arts language learning), brainstorm on ideas for the emerging platform, and work on building additional content.
  • SKILLS DASHBOARD: There will be opportunity for a demonstration and brainstorming on the language skills question bank and dashboard prototype – initially developed for French last year, with future possibilities for other languages.
  • DIGITAL TOOLS for LANGUAGE LEARNING: Colleagues across LACOL will be invited share their experiences with digital pedagogies and tools for language instruction. What works best for you and your students in meeting various pedagogical goals?  How can we share and learn from each other? The group of Asian language instructors who met up at the Vassar 2017 workshop has been pioneering such exchanges as one model to build on.

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Introduction to Critical Data Science (shared course)

In Summer 2019 …

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

Learning Objectives:

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

Syllabus and FAQ: See course gateway

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 co-taught by instructors from LACOL schools 
  • 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: see course gateway (more…)

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Bryn Mawr’s Blended Learning in the Liberal Arts Conference, May 2019

cropped-blendlac_logo_resized-2CALL FOR PROPOSALS: Blended Learning in the Liberal Arts Conference at Bryn Mawr College May 22-23, 2019.

Submissions are now open for the Blended Learning in the Liberal Arts Conference, to be held on May 22-23, 2019 at Bryn Mawr College. We are open to all topics related to blended learning in the liberal arts. Possible themes include:

  • Digital Competencies: efforts to build digital literacy and digital citizenship; programmatic frameworks, theories, and methods
  • Student Collaborations: digital fellowship and scholarship programs, internships, project work, and other experiential learning opportunities for students
  • Digital Identity: discussions of domains programs, website projects, social media, and new ways that online identities are crafted in educational settings
  • Emerging Technology and Methods: particularly makerspaces, audio/visual production, and critical making

Submit by Feb. 25, 2019 at brynmawr.edu/blendedlearning/conference. Contact Jennifer Spohrer at blendedlearning@brynmawr.edu with questions.

 

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Measuring Complex Domains for the Liberal Arts

Session: Measuring Complex Domains for the Liberal Arts (Inclusive Pedagogies)
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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