Student Data Science Video Gallery – Summer 2019
[9:05] A. Chunnananda (Vassar College), R. Hageboeck (Washington and Lee University)
by Liz Evans
A new book, Small Teaching Online: Applying Learning Science in Online Classes, by F. Darby and J. Lang (Wiley 2019) caught my eye last June, initially via this IHE author interview. The timing of this discovery was perfect for me, since I was helping to support LACOL’s first fully online summer data science class. So many nuggets from this book prove to be right on target for LACOL’s various pedogogical explorations, I choose it as something to share with my awesome colleagues on the Haverford College Instructional Technology team as part of their summer 2019 Learn and Share discussion group. This short review highlights some of the authors’ ideas I found most thought provoking and potentially useful to anyone teaching in the classroom, online … or both!
Many faculty and designers may be familiar already with the phrase “small teaching” which was made famous in Prof. James Lang’s 2016 book, Small Teaching: Everyday Lessons From the Science of Learning. In a nutshell, Lang demonstrates how small, easily-managed teaching modifications – based on the neuroscience of how people learn – can have a positive impact for students. That is, small adjustments can make good teaching great.
Online professor and instructional designer Flower Darby worked with Lang to bring the small teaching concept into the online realm. The opportunities for discovery are rich because, as Darby notes, online learning is in its infancy.
The book recommendation is excellent – a lot of useful suggestions which would take years to figure out.
-Dr. Natalia Toporikova, Washington and Lee University; online data science instructor, summer 2019, 2020
The gerrymandering controversy in American politics offers an ideal subject for a blended learning class that draws upon racial justice, electoral behavior, electoral reform, law, political science, data analysis, and the use of geographic information systems technology. We combined each of these themes into a class that entailed the practical application of GIS and data analysis skills to a contemporary public policy issue that animated the news as the U.S. Supreme Court prepared to issue its second gerrymandering decision in as many terms.
Shared LACOL Course: Operations Research
Instructor: Professor Steven J. Miller, Williams College
Enrollment Info for Students: http://bit.ly/ops-research (Fall 2019, Spring 2020)
Syllabus & Course Website: https://web.williams.edu/Mathematics/sjmiller/public_html/317Fa19
Course Flyer: Operations Research PDF
Topics and Objectives:
LACOL has been awarded an IUSE grant from National Science Foundation for a project titled, “Online modules for quantitative skill building: Exploring adaption and adoption across a consortium”. This three-year project will research the adaption and adoption of face-to-face and online pedagogies for teaching quantitative skills (QS) with the aim of improving understanding of best practices for the development of online modules to support students’ QS development.
The project proposal was developed by Melissa Eblen-Zayas and Janet Russell of Carleton College and Laura Muller and Jonathan Leamon of Williams College based lessons learned from the QLAB pilot project.
Additional information about the project, including details about the project advisory board, a needs assessment survey for faculty, and opportunities for faculty and staff to get involved, will be be shared later this summer and into the fall through the QS Working Group Forum.
CLICK HERE TO SUBSCRIBE for ongoing news!
Event: Data Science in the Liberal Arts
Date & Location: June 6-7, 2019 at Washington and Lee University
Attendees: members and friends of the LACOL DS+ working group
|Scroll down for workshop resources, slides, and video gallery|
Data Journalism as a Liberal Art
Prof. Amelia McNamara
Department of Computer & Information Sciences
University of St. Thomas
One of the main ways the general public encounters products of data analysis is through journalism. Data journalists strive to explain complex stories using visualization, statistics, and heavy use of contextualization. As we incorporate data science into the liberal arts, data journalism provides a case study as a field in which the sciences and the humanities are consciously linked. In this talk, I’ll discuss the history of data journalism, how I see it fitting into a liberal arts framework, and experiences from a class I taught on data journalism.
More Workshop Talks and Resources:
1. R. DeVeaux – Data Science for All?
2. L. Heyer – Starting a Data Science Minor
In Summer 2019 …
Introduction to Data Science (co-taught course, shared digitally)
Course Team: see course gateway
Presented May 22, 2019 at the Bryn Mawr Blended Learning Conference
Course Topics Include: (more…)
Mini-Conference: Cultivating Student Leadership to Foster a More Inclusive Liberal Arts Classroom
Location: Amherst College Center for Teaching and Learning (Frost Library)
Date: April 5, 2019
Agenda: Student Leadership – April 5 Agenda
Invited Speaker: Bryan Dewsbury, University of Rhode Island
Host: Amherst College Center for Teaching and Learning in partnership with Being Human in STEM and the Office of Diversity and Inclusion (more…)
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: Sensemaker Teams (Davidson, Hamilton, Haverford, Washington & Lee)
Project Website: http://emergentedu.org
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
Full agenda & highlights:
The ASIANetwork Exchange recently published a special issue titled Digital Asia which expands upon the pedagogical research presented at the 25th Annual ASIANetwork Conference, “Digital and Beyond: Ways of Knowing Asia.” Co-edited by Prof. Erin Schoneveld (Haverford College), several articles in this volume explore the productive relationship between digital technology and Universal Design for Learning (UDL.)
ASIANetwork’s theme of “Digital Asia” highlights a wide range of approaches used to represent and examine rapid economic, social, political, and environmental changes and their impacts on Asian cultures. These methods are comprised of both traditional academic disciplines as well as digital technologies that simultaneously allow for the preservation of existing information as well as the creation and sharing of new data, texts, and images resulting in original ways of analyzing and constructing Asia. Within this context, these articles also examine the productive relationship between digital technology and Universal Design for Learning (UDL). UDL offers strategies for faculty to design curricula that stimulate interest in differentiating the ways students are able express what they know.
Prof. Schoneveld’s article, Japanese Modernism Across Media, examines the pedagogical benefits of implementing a semester-long digital curation project using the open-source web-publishing platform Omeka Classic. This digital curation project was supported by Haverford College Library and Mike Zarafonetis, Coordinator of Digital Scholarship and Research Services. Schoneveld’s colleagues Prof. Shiamin Kwa and Anna-Alexandra Fodde-Reguer, Research and Instruction Librarian, in the Haverford and Bryn Mawr (Bi-College) East Asian Languages and Culture Department contributed the article, The Chinese Poster Project: EALC Pedagogy and Digital Media, which highlights Haverford College Library’s fantastic collection of Chinese political posters held in Special Collections.
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:
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
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.
The LACOL Digital Competencies Working Group has formed to build on 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 … what we might call Digital Agility.
Digital Agility: Embracing a Holistic Approach to Digital Literacy in the Liberal Arts
by Beth Bohstedt and Sundi Richard (Jan 8, 2020, EDUCAUSEreview, Transforming Higher Ed.) This post, co-authored by Sundi and Beth, developed out of ongoing working group discussions in 2019.
The goals of the 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!
JANUARY 2019 – Create a statement about using the Bryn Mawr Digital Competencies Framework as the starting point for developing institution specific frameworks. (more…)
Event: Data Science: On ramps and scaffolds
Location: ZOOM web conference
Date: Friday, November 9
Time: 1:00-2:00pm Eastern
⇒ Ming-Wen An, Assoc. Professor of Statistics, Vassar College
⇒ Ella Foster-Molina, Teaching Associate, Quantitative Skills Laboratory, Swarthmore College
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 .
Event: Inclusive Pedagogies – Sensemaker Assessment Design Jam
Location: Davidson College
Date: October 18, 2018