GenAI Quarterly Newsletter – Issue 3: Spring 2024

CONTENTS

• Chemeketa Resources

• Notable News

• Faculty Spotlight

• Recommended Writing & Recording

• Upcoming Opportunities

Chemeketa Resources

• Chemeketa Library’s new Lib Guide:  AI and Research for College Writing: Topic Selection and Search Terms
• CAI’s Faculty Resources for Gen AI page, which includes sample syllabus statements and  addressing academic integrity with students
• CAI’s Guidance on Generative AI for Fall 2023

Notable News 

• Kahoot!, a popular quiz tool licensed by Chemeketa, has a new AI feature.  You can now automatically generate a kahoot quiz game based on a topic, document, PDF or URL in seconds, complete with images! Read more about the Kahoot AI question generator.
• Students Pitted Against ChatGPT to Improve Writing – Students at the University of Nevada, Reno, are going head-to-head with ChatGPT by answering the same prompts as the AI and aiming to get a higher grade. The project combines gamification, analysis and competition in two courses for education majors.  Source: Inside HigherEd
• Turnitin: More than Half of Students Continue to Use AI to Write Papers – As of late March 2024, Turnitin reports that out of the over 200 million papers reviewed, over 22 million were at least 20% AI-written, and over 6 million were at least 80% AI-written.  Source: Campus Technology
• Google Introduces New LearnLM Models for Students, Gemini Features for Education – Google is launching a new AI model for students called LearnLM. It is also bringing integration with its flagship Gemini AI model to Google Workspace for Education. Source: Campus Technology

Faculty Spotlight

Over winter and spring terms, the GenAI Community of Practice spent time exploring Generative AI and its potential impact at the college. Participants included Jan VanStavern (English and Writing), Kevin Smith (Film Arts and Writing), Theresa Yancey (Reference & Instruction Librarian), Gary Kuhn (Communication), Michael Ward (Writing), Andrew Scholer (Computer Science) and Bill Hamlin (Center for Academic Innovation). 

Early in winter 2024, conversations centered around the basics of GenAI and large language models (LLMS) – how these technologies work, and initial perceptions and feelings about them. Discussions shifted to how students in the participants’ classes are using GenAI tools and how faculty might adapt course content and assessment methods to either embrace or restrict further use. Participants were tasked to create a plan of action for how they could further incorporate GenAI into their teaching or workflow and will be completing that by the end of spring 2024 to hopefully implement in future terms. Additionally, the research conducted by this group and the feedback gleaned from numerous discussions will inform the Center for Academic Innovation’s planning around professional development opportunities focusing on GenAI.

Recommended Writing & Recording

• Can ‘Linguistic Fingerprinting’ Guard Against AI Cheating?,  Jeffrey R. Young, EdSurge, May 7, 2024. This article looks at the option of linguistic fingerprinting to identify AI-generated content.  “….it’s the idea that we each have a unique way of communicating that can be patterned, it can be tracked, it can be identified. If you have a known document written by somebody, you can kind of pattern their written fingerprint.”
  Related: AI Writing Detection Tool Analyzes Linguistic Fingerprint to Check Authorship
• Recorded webinar: Reimagining Assessment for Creative Thinking and AI, April 18, 2024. This panel session looked at the dynamic relationship between creative thinking, artificial intelligence (AI), and assessment. The session explored methodologies, including rubrics, that assist educators to effectively evaluate the creative process in the age of AI.
• Recorded webinar: AI in the Corequisite Mathematics Classroom: Navigating Equity, Implementation, and Policy. April 25, 2024. This session looked at the real-world application of AI in the corequisite Mathematics classroom, highlighting its potential pitfalls, such as algorithmic biases, and the subsequent equity issues.  Instructors that have embraced AI shared insights from their real-world experiences and best practices for equitable implementation. Classroom-centric challenges posed by AI, administrative implications and policy considerations were discussed.  
• Recorded webinar: Using AI to Improve Teaching Practices, May 30, 2024. This discussion explored how educators can use AI to 1) Adjust Lessons to Meet Students’ Needs in Real-Time, 2) Reduce Burnout, 3) Personalize Learning for Students and 4) Enhance Student Performance Analysis

Upcoming Opportunities

• June 13, 2024, 12:00-1:00 pm, Educause Webinar: Integrating AI in Higher Education: Navigating Challenges and Shaping Policy. Registration
• June 20, 2024, 11:00-12:00, Webinar: How AI Is Forging Connections Across Campus for a Seamless Student Experience. Registration
• June 24, 7:00 am – 1:30 pm, Educase Demo Day | Applications of AI. Registration
• June 27, 12:00-3:00 pm, Teaching and Learning with AI Conference. Registration
•  July 2024 month-long, Educause’s 4-part Learning Lab series: ChatGPT in Higher Education: Exploring Use Cases and Designing Prompts. Registration
• July 11, 2024, 7:00-8:00 am,  Webinar: Let’s Talk About AI and Digital Literacy. Registration
• July 19, 2024,  7:00-8:00 am, Webinar: Let’s talk about AI and Plagiarism. Registration
• July 22-24, 2024, live conference, Orlando, FL , Teaching & Learning with AI: A Sharing Conference Between Practitioners. Registration
• July 24 – 26, 2024. live conference, Cambridge, MA , MIT’s AI & Education Summit. Registration
• August 6, 2024, 11:00am-12:00pm, OLC’s Webinar: Unlocking the Future of Education: Helping Faculty to Embrace the Potential of Generative AI. Registration
• August 7,  2024, 9:00 -10:00 am,  Educause Webinar: Beyond the Summit: AI Innovation and Practical Applications in the Field. Registration
• August 27, 2024, 9:00 -10:00 am,  Educause Showcase Webinar:  AI…Friend or Foe? Registration

A friendly reminder: Never put sensitive data, personal identifiable information (PII), or intellectual property on these Gen AI sites, as they may not be secure.