Dal Events

Universal Design for Learning (UDL) Showcase

Tue, 26 Nov 2024 17:00:00 GMT

Come join us to celebrate Universal Design for Learning (UDL) implementation across Dal through the CLT's UDL Showcase held during Accessibility Week, November 25-29, 2024.

This event allows us to applaud the work instructors, staff, and faculty have done to make their course designs and teaching more inclusive, accessible, flexible, and empowering for students. It’ll be like a conference roundtable or poster session, but broader in scope and more fun!

In the spirit of flexibility, there are multiple ways to participate.

synchronously in an online session on Teams (November 26, 1–2:15 p.m.)
synchronously in person in Killam B400 (November 27, 11 a.m.–1 p.m.)
asynchronously in a Teams site (November 26-28)

Would you like to share your work at the Showcase?

Great, this is exciting! You can indicate your interest on the registration form or reach out to Les at lestjohnson@dal.ca.

Intended Audience

Faculty
Staff
Graduate Students
Open to all

Link to register for the UDL Showcase

Indigenous AI Virtual Reading Group (Discussion 3)

Wed, 27 Nov 2024 15:00:00 GMT

Link to register for the Indigenous AI Virtual Reading Group

Discussion Dates

September 25, 1–2 p.m. Sections 1-3 (pp. 1-42)
October 30, 1–2 p.m. Section 4 (pp. 43-90)
November 27, 11 a.m.–12 p.m. Section 5 (pp. 91-122)

While discussions about artificial intelligence (AI) have become increasingly commonplace within academia, seldomly are Indigenous perspectives included within these conversations apart from being gestured to as one of the many “equity issues” surrounding the use of AI.

Providing a dedicated space for �鶹��ý community members to expand their understanding of the intersections of Indigenous knowledge systems and AI, this virtual reading group invites participants to question and consider how AI advancements compliment, challenge, resonate and/or contrast with various Indigenous worldviews, ethics, and epistemologies.

The chosen text for Fall 2024, the Indigenous Protocol (IP) and Artificial Intelligence (AI) Position Paper (2020), is the result of collaborative work between Māori, First Nations, Inuit, Métis, Pacific Islanders, and Aboriginal Australians, that recognizes and affirms the diversity of Indigenous views and approaches to generative AI. As described by the authors, “rather than being a single unified statement this position paper is a collection of heterogeneous texts that range from design guidelines to scholarly essays to artworks to descriptions of technology prototypes to poetry.” (2020) Regardless of the discipline your work is situated within, this series aims to offer meaningful opportunities to engage with the complexities of AI and Indigenous knowledge systems. Through a series of facilitated discussions, participants will delve into the diverse perspectives presented in the position paper, critically examining how Indigenous protocols can inform ethical AI development, challenge existing paradigms, and propose alternative approaches.

Facilitators

Rachelle McKay, Anishinaabe, MA Indigenous Governance – Educational Developer, Indigenous Knowledges & Ways of Knowing
Abdullah Al Mukaddim – Artificial Intelligence Analyst

Universal Design for Learning (UDL) Showcase

Wed, 27 Nov 2024 15:00:00 GMT

Come join us to celebrate Universal Design for Learning (UDL) implementation across Dal through the CLT's UDL Showcase held during Accessibility Week, November 25-29, 2024.

In the spirit of flexibility, there are multiple ways to participate.

synchronously in an online session on Teams (November 26, 1–2:15 p.m.)
synchronously in person in Killam B400 (November 27, 11 a.m.–1 p.m.)
asynchronously in a Teams site (November 26-28)

Would you like to share your work at the Showcase?

Great, this is exciting! You can indicate your interest on the registration form or reach out to Les at lestjohnson@dal.ca.

Intended Audience

Faculty
Staff
Graduate Students
Open to all

Link to register for the UDL Showcase

GenA.I. Community of Practice

Wed, 27 Nov 2024 18:00:00 GMT

Wednesday, November 27
2-3 p.m.
Link to register for the November Community of Practice

Join us for the November meeting of �鶹��ý’s Generative A.I. in Teaching and Learning Community of Practice.

This month’s topic

Technologies are not value neutral nor inert; they change us as much as we change them. Langdon Winner, one such philosopher, coined the term “reverse adaptation.” Here he posited that tools and technologies are created so that they can serve us; however, in many instances, it is we who serve even simple tools such as clocks or houses. Ivan Illich suggests there has been a watershed moment for Western cultures in which technology has ceased, in general, to improve human life and now rather detracts from it. He asks if there can be better ways to create and use tools to support human flourishing ("for conviviality"). In this presentation and discussion we will ask the question of whether AI can be a tool for conviviality, and if so, how this may be possible.

Facilitator

Dr. Scott Flemming, P.Eng.
Senior Instructor
Undergraduate Advisor
Department of Industrial Engineering

�鶹��ý the GenA.I. CoP

The aim of the GenA.I. in Teaching and Learning Community of Practice is to create a space for cautious, critical, and open discussion and sharing around using (or not using) generative artificial intelligence in the classroom or in teaching and learning work. We welcome presentations or other organized discussions that showcase use in classrooms; discuss ethical use; describe guiding students in its use/non-use; or brainstorm general implications or consequences for any aspect of teaching, learning or being part of the university.

Anyone is welcome to join the GenA.I. CoP, including instructors, graduate students, staff, and faculty. No expertise in generative A.I. is required. Reach out to eLearning@dal.ca with any questions. If not already a member of the CoP, register for the event to receive information on joining the Teams site. You can also search for “GenA.I. CoP” in Teams to join.