Language Instruction Jam 2019

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Event: Language Instruction Jam
Location: Bryn Mawr College, Canaday Library
Date: March 23-24
Attendees: Language Instruction working group and project teams
Registration: https://goo.gl/forms/P3LjeHaalrl0b4Jm2

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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Digital Competencies Working Group

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A new Digital Competencies Working Group has formed to build interest and prior work related to Digital Competencies, Digital Studies, Digital Fluency, and Digital Literacy.  These terms cover a group of related concepts, all of which reflect concepts and skills that are vital to the 21st Century learner and citizen.

The goals of the new working group are to make concrete progress on ideas develop at the 2017 Think Tank and 2018 discussions.  LACOL members are invited to join the group; reach out for more information!

  • Group members include faculty, librarians, technologists, instructional designers.
  • A top priority is adjusting the language of the Bryn Mawr Framework to fit individual/collective needs of our schools. Major elements of the Bryn Mawr framework are:
    • Digital Survival Skills
    • Digital Communication
    • Data Management and Preservation
    • Data Analysis and Presentation
    • Critical Making, Design and Development
  • Another priority is developing a shared survey of recent grads on their acquisition, use, and needs for digital competencies.
  • Some in the group will engage with liberal arts research around competencies that are critical to the future of work – what fits and what are the disconnects?
  • These ingredients will be used to engage with faculty more deeply in student-centered digital competency conversations and collaborations.

Roadmap:

JANUARY 2019 – Create a statement about using the Bryn Mawr Digital Competencies Framework as the starting point for developing institution specific frameworks. (more…)

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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: see course gateway (more…)

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Cultivating Student Leadership in a More Inclusive Liberal Arts Classroom

Mini-Conference Cultivating Student Leadership to Foster a More Inclusive Liberal Arts Classroom
Host: Amherst College Center for Teaching and Learning in partnership with Being Human in STEM and the Office of Diversity and Inclusion
Invited Speaker: Bryan Dewsbury, University of Rhode Island
Location: Amherst College Center for Teaching and Learning
Date: April 5
Attendees: mix of faculty, Deans (diversity, student life or other), teaching and learning personnel  

Agenda: PDF Agenda
(more…)

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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)
Location: Amherst College Center for Teaching and Learning
Date: April 4
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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Data Science in the Liberal Arts: June 6-7

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Event: Data Science in the Liberal Arts
Date: June 6-7 (Arrival June 5)
Location: Washington & Lee University
Attendees: members and associates of the LACOL DS+ working group
Registration Page: https://goo.gl/forms/JuECaI0RcnhDPYzR2 (Register by May 1)
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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Local and Global Decisions: Digital Competency Initiatives, Development and Assessment

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Event: Pre-Conference Liberal Arts Workshop at ELI (Session)
Title: Local and Global Decisions: Digital Competency Initiatives, Development and Assessment
Date: February 19, 2019
Venue: EDUCAUSE ELI Annual Conference
Location: Anaheim, California
Registration: Opens Nov 5
Time: 8am-11am PT
Facilitators:

  • Donnie Sendelbach, Director of Educational Technology Services, Denison University
  • Jennifer Spohrer, Director of Educational Technology, Bryn Mawr College
  • Mo Pelzel, Director of Academic Technology, Grinnell College
  • Ted Wilder, Associate Director of Information Technology, Macalester College
  • Liz Evans, Director of Liberal Arts Collaborative for Digital Innovation (LACOL)
  • Ed Finn, Liaison for Innovation and Collaboration in Teaching and Learning, Associated Colleges of the Midwest (ACM)

Abstract: Digital competency initiatives begin from shared global objectives but must adapt to local culture and structures to succeed. Collaboration helps define needs and goals, but how can we collaboratively assess programs that adopt intensely local variations? In this pre-conference workshop, we will present multiple examples of program development with overlapping goals. After examining existing efforts on attendees’ campuses, they will develop plans for their own initiatives, considering local circumstances. We will then brainstorm with participants about how to collaboratively assess the impact of digital competency initiatives. Moreover, we will determine what evidence of impact would be meaningful to different stakeholders.

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

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Event: Data Science: On ramps and scaffolds
Location: ZOOM web conference
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 .

(more…)

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Inclusive Pedagogies – Assessment Design Jam Oct 18

Event: Inclusive Pedagogies – Sensemaker Assessment Design Jamwork with stories
Location: Davidson College
Date: October 18
Leads: 

  • Kristen Eshleman, Director of Digital Innovation, Davidson College
  • Brent Maher, Director of Academic Assessment, Davidson College
  • Annie Sadler, Digital Design Fellow, Davidson College
  • Paul Youngman, Associate Provost and Professor of German, Washington & Lee University

Agenda: https://emergentedu.org

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Envisioning a “What is data science?” webinar (Oct 1)

Event: Envisioning a “What is data science?” webinar for students
Location: ZOOM web conference (rsvp to eevans@haverford.edu for a meeting invite)
Date: Monday, October 1
Time: 12:00 – 1:00 pm Eastern
Discussion Leads: 
⇒ Deborah Gross, Professor of Chemistry, Carleton College
⇒ Helen White, Assoc. Professor of Chemistry and Environmental Studies, Haverford College

Prework: add your topic ideas HERE

Related Event: Data Science on ramps and scaffolds (Nov 9, 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.
(more…)

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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.

(more…)

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Toward a LACOL course sharing framework (2018/2020)

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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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After MERLOT? CHIANTI.

Update on the shared grammar resource, summer 2018.

Convened by Chico Zimmerman and Clara Hardy (Carleton College), about a dozen faculty and technologists met at the workshop to make progress on ideas that emerged from several separate Zoom meetings in the two months preceding the conference. Eventually, the discussions centered on three main elements to focus on moving forward in the near term:

  • A set of videos featuring LACOL language instructors and students reflecting on the college-level language-learning experience. These videos will be available for sharing with all LACOL institutions by the end of the summer (see next bullet).
  • A self-curated online digital library of shareable resources for LACOL language instructors, for which a proof-of-concept site has been created and tentatively named CHIANTI (as a more appealing version of MERLOT). The (currently WordPress) site would allow for submissions from LACOL language instructors and would be searchable by category and tags. The initial categories will be in the area of:
    • General tips for college-level language learning, including research on adult L2 acquisition
    • English grammar for L2 learners, including models or maps that integrate all aspects of language
    • Phonology
  • An interactive glossary of grammatical and linguistic terms from which instructors can draw for their own pedagogical purposes and to which they can contribute their own definitions and examples.

The CHIANTI site will continue to be built through the summer and populated with some initial resources for testing. A prototype submission form has been drafted and will be tested and finalized through the summer as well.  The group will be soliciting contributions once these elements are finalized.
(more…)

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Data Science for Undergraduates: Opportunities and Options … a liberal arts conversation

Event: Discussion of the NAS Data Science for Undergraduates Report
Location: ZOOM web conference
Date: Thursday, July 12
Time:
 1:00 PM – 2:00 PM Eastern
Discussion Leader: Professor Nicholas Horton, Amherst College

** Interested in collaboration around data science education for the liberal arts? Sign up to join the new LACOL Data Science+ Group.

Following on from the lively Data Science meets Environmental Studies meet up at the 2018 LACOL summer workshop, LACOL members are invited to join an online conversation to discuss faculty perspectives on the newly released Data Science for Undergraduates: Opportunities and Options report from the National Academies of Science. (More about the NAS report is here: http://nap.edu/25104)

Discussion of the report through a liberal arts lens will be lead by Dr. Nick Horton, Professor of Statistics at Amherst College.  Nick served as contributor to the report on the Committee on Envisioning the Data Science Discipline: the Undergraduate Perspective.   As he and colleagues at the summer workshop note, there is considerable potential to engage with each other as liberal arts colleges around curriculum development (see ASA Guideline, developed with AALAC) and other ways to support students learning to work with data.

Faculty and academic support specialists interested in data science education across the curriculum are encouraged to join this conversation!

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Welcome to the Data Science+ Group Page

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Based on conversations at the 2018 LACOL Summer Workshop, an active working group has emerged for Data Science, with a special interest in intersections with Environmental Studies as a data-intensive discipline.

Group Resource Page: Shared by/for Group Members  (submit resources here.)

Areas of collaboration:

  • A webinar series (see below) and study group on data science in the liberal arts.
  • Identifying key data science skills and information falling between curricular cracks at LACOL schools and provide existing resources to begin addressing them.
  • Developing a repository to share software tutorials, commentary, wrappers, assignments, etc., that help teach students to use important tools.
  • Developing a consortium-wide “Intro to Critical Data Collection and Analysis” course.
  • Exploring options for managing research data collections from sensors or data generated collaboratively with other researchers; design requirements or existing database solutions for data sharing, and analysis.

 

(more…)

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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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