Fri Jan 31, 10:30 AM - Tue Apr 28, 12:30 PM (MST)

LSC Room 1100

ThinqTank Spring2020

Join us for a semester of experimentation with divergent ideas, tools, and approaches to digital teaching and learning. Participants will actively test one or more experiments with their students, and meetup once a month to compare notes, share data, and branch in new directions. ThinqTanks orient toward applied research in digital education - collecting and analyzing outcomes, and producing a collective summary, data-set, and recommendations for next-steps.

Fri Feb 21, 12:30 - 2:30 PM (MST)

Auraria Library Discovery Wall, 1100 Lawrence Street, Denver, Colorado, USA

Predictive analytics, artificial intelligence, and facial recognition technology are just a few of the things your data can be plugged into without consent.

In this workshop, we’ll discuss data profiling technologies and techniques levied specifically at students; who, what, why, when, where and how data is mined; and to what end?

We’ll explore notions of student data rights, data ethics, privacy, and trends in data legislation.

Students, faculty, and staff are all encouraged to attend.

Fri Mar 6, 11:30 AM - 2:00 PM (MST)

CU CityCenter, 1250 14th Street, Denver, CO

The university has a wealth of expertise that is sorely needed in communities across the state of Colorado. In expanding UC Denver’s influence, solidifying its identity, and fulfilling its aspirations of becoming a tier 1 urban research university, this session will explore both the great potential of and the possible pitfalls surrounding service learning/community outreach. Some of the educational paradigms allowing faculty research to be merged with coursework to create a powerful learning experience for students while assisting communities attempting to address problems with innovative and unconventional solutions will be discussed and explored. This informal presentation conversation will be guided by a discussion utilizing the city of Walsenburg, Colorado as a case study for conceptualizing both the complexity of working with a community as well as the powerful potential these types of relationships provide in equipping our students to meet the challenges of a complex 21st century world.

Fri Apr 3, 12:30 - 2:30 PM (MDT)

CU CityCenter, 1250 14th Street, Denver, CO

This session will invite faculty to discuss and deconstruct the common and master narratives of academia. Master narratives form a set of rules and left unexamined can create expectations which establish the “right” way to be an educator that often times do not fit for everyone. This disconnect between the rigid expectations of the master narrative and a faculty’s lived experience can lead to a host of negative emotional experiences. Participants will have an opportunity to re-story a preferred and personally inspiring narrative to lead to a more congruent faculty experience.

Fri Apr 17, 12:30 - 2:30 PM (MDT)

CU Building, Room 470, 1250 14th St, Denver, CO

Teaching with stories through case studies and simulations enables students to connect their learning to real world situations; stimulates curiosity and engagement; fosters critical and creative thinking; and can be tremendously fun. This session invites faculty to a rich discussion of the nuts & bolts of teaching with case studies and simulations. Participants will also have an opportunity to virtually climb Mt. Everest in a demo teamwork simulation. This workshop aims to provide practical tools and skills that participants can immediately apply in their own classes, as well as a space for critical discussion about the role and effective use of cases and simulations in classroom and online learning.

Fri May 8, 12:30 - 2:30 PM (MDT)

CU CityCenter, 1250 14th Street, Denver, CO

Predictive analytics, artificial intelligence, and facial recognition technology are just a few of the
things your data can be plugged into without consent.
In this workshop, we’ll discuss data profiling technologies and techniques levied specifically at students; who, what, why, when, where and how data is mined; and to what end?
We’ll explore notions of student data rights, data ethics, privacy, and trends in data legislation.
Students, faculty, and staff are all encouraged to attend.