Fall 2019 Academic Learning Communities


Call for Participants: Academic Learning Community

Fall 2019-Spring 2020

The Center for Faculty Development will be hosting three Academic Learning Communities for the Fall 2019 semester.  Please take a look at the descriptions below and feel free to sign up for one or all three of the ALC's. 

Artificial Intelligence and the Ethical Dimensions of Data Science

Fall 2019

Conveners:

  • John Banja, Professor, School of Medicine
  • David Benkeser, Assistant Professor, School of Public Health
  • Lance Waller, Professor, School of Public Health 

Data Science, Machine/Deep Learning, and Artificial Intelligence are rapidly emerging areas in research and teaching as well as ubiquitous in our daily lives.  At Emory, there are many strategic initiatives working together to propose integrated data science efforts across campus.   The interface of ethics and AI has captured attention in both research and the popular media.  Based on the unique opportunity presented within a university with a dedicated Center of Ethics as well as multiple initiatives relating Data Science at Emory, this multidisciplinary ALC will explore the unique ethical issues arising from Data Science, locally, nationally, and globally. 

Particulars:

The Seminars will meet from 12:00-1:30pm on the following dates:
  • Monday, September 16
  • Wednesday, October 2
  • Friday, October 18
  • Thursday, November 7
  • Thursday, November 21

Scholarship of Teaching and Learning (SoTL)

Fall 2019-Spring 2020 

Conveners:

  • Bree Ettinger, Mathematics, Emory College
  • Jessica Barber, Psychology, Emory College 

This ALC will introduce participants to the scholarship of teaching and learning (SoTL) across the university and begin projects of their own. We will develop a taxonomy of SoTL questions, provide examples of SoTL projects, and discuss methods for investigation. Participants will learn about collecting and analyzing different types of evidence, conducting literature searches, navigating human subjects requirements, and selecting venues for presenting or publishing their work. Participants will collaboratively select and transform a teaching problem of their own into a question for scholarly investigation. This ALC is perfect for anyone looking to strengthen their teaching portfolio and diversify their scholarship, or for those who are interested in assessing student learning, teaching effectiveness, or curricular progression. You need not have prior expertise or even familiarity with the scholarship of teaching and learning to take part in or benefit from this ALC. 

Particulars:

  • The Seminars will meet from 1:00-2:20 pm on the following Thursdays:
    September 26, October 17, November 7, December 5.
  • Special Sessions on Monday October 7 with Prof. Mick Healey

10:00-12:00 Reflections on Developing the Scholarship of Teaching and Learning
1:00-3:30 Getting published: Going public with your SoTL work

Mentoring Diverse Students in Lab Settings

Fall 2019

Conveners: 

  • Nicole Gerardo, Associate Professor, Department of Biology
  • Amanda James, Assistant Dean, Diversity, Inclusion, and Community Engagement 

Mentoring students in research and project settings outside the classroom leads to a long-term mentoring relationship between faculty and students. Whether these students are undergraduate or graduate students, they are often part colleague, part student and part collaborator. To these collaborations, students bring their own identities and experiences, which are often not those of the faculty. While the traditional model was to apprentice all students similarly, this model may ignore that each student’s experience shapes the challenges that they will face and their expectations. Through this six-week series, we will broadly explore literature on mentoring students of diverse backgrounds and identities.

Particulars: 

The Seminars will meet on Mondays from 12:00-1:30pm on the following dates: 

  • November 4
  • November 11
  • November 18
  • November 25
  • December 2
  • December 9

View Previous Academic Learning Communities

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