Event Information
Session Outline (60 minutes)
1. Welcome & Framing the Theme (5 minutes)
Content: Moderator introduces the session focus—AI’s impact on research, news, and information literacy.
Engagement: Quick live poll or show of hands: “Who’s had students cite ChatGPT or TikTok as research?”
Process: Establish tone of interactivity from the start.
2. Panelist Introductions & Stories (10 minutes)
Content: Each panelist shares a short introduction and personal lens (e.g., librarian, teacher, journalist).
Engagement: Audience turn-and-talk: “Where do you see AI most affecting your students’ information habits?”
Process: Peer-to-peer reflection before panelist insights deepens relevance.
3. Key Challenges & Opportunities (10 minutes)
Content: Moderator poses guiding questions on misinformation, bias, ethical research, and algorithms.
Engagement: Device-based activity — attendees try a quick verification tool (reverse image search or fact-check).
Process: Hands-on activity plus debrief keeps session practical.
4. Tools & Strategies for the Classroom (15 minutes)
Content: Panelists highlight effective AI-ready strategies (e.g., lateral reading, Newsreel for tracking news habits, Google Explorer for fact-checking).
Engagement: Small-group brainstorm: “What’s one way you could adapt these tools tomorrow?”
Process: Collaborative activity, followed by brief whole-group share-out.
5. Diverse Perspectives & Voices (10 minutes)
Content: Panelists share stories/perspectives
6. Wrap-Up & Takeaways (10 minutes)
Content: Moderator synthesizes key insights and highlights transferable strategies.
Engagement: Exit ticket — audience posts one concrete action they’ll take back.
Process: QR code/Google Form ensures quick capture and participant accountability.
Frequency & Engagement Tactics
Every 5–10 minutes: interactive element (polls, peer-to-peer reflection, small-group brainstorm)
Blend of panel storytelling + audience participation ensures balance between expert voices and participant input.
Tools (polls, verification apps) extend engagement beyond the session and provide tangible takeaways.
After this session, participants will be able to…
Identify ways AI influences research, news, and information literacy in the classroom.
Apply digital verification strategies and tools to fact-check AI-generated and online content.
Design inquiry-based learning experiences that integrate AI tools while fostering student critical thinking.
Model ethical and responsible research practices that balance human judgment with AI capabilities.
Facilitate student dialogue around bias, misinformation, and multiple perspectives in digital media.
Chang, Y. K., Literat, I., Price, C., Eisman, J. I., Chapman, A., Gardner, J., & Truss, A. (2020). News literacy education in a polarized political climate: How games can teach youth to spot misinformation. Harvard Kennedy School (HKS) Misinformation Review. https://doi.org/10.37016/mr-2020-020
Framework for Teaching News Literacy
https://newslit.org/wp-content/uploads/2023/09/9_13_23_NLP_Framework.pdf
Research on News Literacy https://www.centerfornewsliteracy.org/research/
The Impact of Greater News Literacy https://www.digitalnewsreport.org/survey/2018/the-impact-of-greater-news-literacy/
Swart, J. (2023). Tactics of news literacy: How young people access, evaluate, and engage with news on social media. New Media & Society, 25(3), 505–521. https://doi.org/10.1177/14614448211011447
Craft, S., Ashley, S., & Maksl, A. (2016). Elements of News Literacy: A Focus Group Study of How Teenagers Define News and Why They Consume It. Electronic News, 10(3), 143–160. https://doi.org/10.1177/1931243116656716