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Passcode: E1Z^tQ@G
Organizers
Toni Samek, University of Alberta
Rong Tang, Simmons University
Lynn Silipigni Connaway, OCLC
When
Monday, September 25, 2023, 10-11:30 am EDT
Panelists
Andrew Cox
Andrew is a senior lecturer at the Information School, Sheffield, UK. Among his research interests is the application of AI in libraries. He is the convenor of the IFLA special interest group on AI and chair elect of the ASIST SIG on AI.
Jennifer Herman
Jennifer H. Herman has over 15 years’ experience leading faculty development in higher education and has been serving as the first permanent director of the Center for Faculty Excellence since 2013. In addition to facilitating or overseeing 150-200 CFE programs and consultations each year, Dr. Herman has supported Simmons strategic initiatives, including the development of PLAN, teaching for inclusive excellence, and the pivot to online learning.
She has been a principal investigator or curriculum designer on multi-institutional projects related to curriculum development, assessment, and teaching strategy, including partnerships with NILOA, the U.S. Department of State, the NYS Small Business Development Center, and Harvard Medical School. Her research focuses on Creating Engaging Discussions, instructional technology, and online education. In her faculty role as Associate Professor of Practice in Health Professions Education, Dr. Herman teaches courses on teaching, assessment, learning theory, and curriculum development for doctoral and CAGS students.
Before joining Simmons, Dr. Herman was the founding Director of the Center for the Advancement of Scholarship, Teaching, and Learning at Niagara University. Jennifer holds a Ph.D. in Higher Education from the University at Buffalo and a MA in International Training and Education from American University.
Ali Shiri
Ali Shiri is a Professor in the School of Library and Information Studies at the University of Alberta, Edmonton, Alberta, Canada, and is currently the Vice Dean of the Faculty of Graduate Studies and Research. He received his PhD in Information Science from the University of Strathclyde Department of Computer and Information Sciences in Glasgow, Scotland in 2004. Ali has been teaching, researching, and writing about digital libraries and digital information interaction, knowledge organization, data and learning analytics, and more recently on AI and ethics in education. In his current research, funded by the Social Sciences and Humanities Research Council of Canada (SSHRC), he is developing cultural heritage digital libraries and digital storytelling systems for the Inuvialuit communities in the Northwest Territories in Canada’s Western Arctic.
Houqiang Yu
Houqiang (Francis) Yu, Phd of information science, associate professor at Sun Yat-sen University. His research and teaching are primarily focused on data science, altmetrics, informetrics, scientometrics, scholarly communication and scientific evaluation. He is PI of 2 NSFC projects and 2 HSSFMEC projects, as well as key participator of over 10 national projects. He is member of iSchool AP iNext committee, CASI committee, SMP committee, ISSI, ASIST. He serves as expert reviewer for national projects and several prestigious journals.
Description
The iFederation@ALISE session will be a 90-minute online session offered through Zoom. The session will be open to any members of ALISE, ASIS&T, or iSchools.
The iFederation@ALISE session will continue with the theme of “information integrity” from the iConference iFederation panel session (which took place on March 13, 2023), with the focus on the impact of generative AI tools such as ChatGPT on teaching and learning in the field of information. The upcoming session will feature an international panel presenting and sharing experiences of the use of ChatGPT for teaching and learning, followed by four different breakout room discussions, then reconvene back to the main room to report back and consult on potential next steps.
The format and time allocation of the session are as follows:
- Panelists’ conversation: 4 panelists discussing ChatGPT and education [30 minutes]
- Breakout room discussion: 4 different breakout room discussions, each room addresses a different topic area, each breakout room will have a discussion facilitator, a recorder and reporter [20 minutes]
- Report back: Participants return to the main room to report the key points of engagement in their breakout room discussion [20 minutes]
- Wrap up: Summary and consultation on potential next steps. [20 minutes]
The panelists will represent international faculty and/or administrators who have experience with the topic, including in and transcending LIS context. For the panelists’ conversation, each panelist will present and share their chosen examples, contextualized by responses to some of the following prompts offered at the Centre for Teaching and Learning, University of Alberta, and adapted for this event:
- What are our discipline’s conventions and assumptions? How might our students use AI to support their academic work in our discipline?
- What role, if any, do AI driven technologies in our course/classroom play in our personal teaching philosophies?
- Is assessment task redesign needed? How significant is this redesign and development? How do the new assessments fit and align with our course learning outcomes?
- What do we want our students to know about our expectations regarding AI and academic integrity?
- What kind of classroom environment would our students like to see? How might we include them in the sister conversations about AI use in academic work?
(Source: University of Alberta. Expertise, Content, and Outcomes. )
For the Breakout Rooms discussion, the focus will be on one of the 4 areas below:
- Leverage AI tools
Consider how we might use AI tools in our activities and assessment tasks to encourage problem solving, creativity, reflection, originality, and higher order thinking.
- Scaffold Assessment tasks:
Integrate short, no-stake/low stakes AI-tool based assignments or group work into larger (summative) assessments.
- Evaluate AI
Use AI-generated output to encourage student’s active evaluation of output quality. How accurate is the output? What biases does the output contain? What are its shortcomings?
- Data Security, Privacy, and Assessments
Instructors and students need to understand the privacy and data security implications as well as contemplate alternative assessments, so those who wish to opt out of using AI tools may be supported in doing so. See below for more information.
(Source: University of Alberta. AI-Squared - Artificial Intelligence and Academic Integrity.)
The iFederation stands as a collaborative alliance between three distinguished organizations: the Association for Information Science & Technology (ASIS&T), the Association for Library and Information Science Education (ALISE), and the iSchools consortium. Recognizing our shared interests and stakeholders, ALISE, ASIS&T, and the iSchools have partnered under the banner of the iFederation to coordinate our efforts in promoting the information field and its allied domains. This partnership includes co-hosting of sessions during respective conferences and continues to explore avenues for greater collaboration amongst our organizations and members.
If you have questions, please contact [email protected].
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