Crawl, skip, jump, run?
A foray into using AI
in portfolios
Presentation licensed under Creative Commons BY-SA 4.0+ // Image: unsplash.com/photos/gOqBe7ropxM
Kristina Hoeppner // Catalyst IT // @anitsirk Eportfolio Forum // 11 September 2024
youtu.be/YfzUr7cWTT0
Crawl
up to 2022
Deep learning
Machine learning
Artificial intelligence
Generative AI
Large Language Models
Skip
2022-2023
Reflection bots
Jump
2023-2024
Webinars
Conversations
Draft AI paper
Exploration*
Image: Generated with Midjourney
Digital ethics focus
Data responsibility
Open AI's Terms of Use (excerpt)
Your Content. You may provide input to the Services (“Input”), and receive output from the Services based on the Input (“Output”). Input and Output are collectively “Content.” You are responsible for Content, including ensuring that it does not violate any applicable law or these Terms. You represent and warrant that you have all rights, licenses, and permissions needed to provide Input to our Services.
Accuracy. Artificial intelligence and machine learning are rapidly evolving fields of study. We are constantly working to improve our Services to make them more accurate, reliable, safe, and beneficial. Given the probabilistic nature of machine learning, use of our Services may, in some situations, result in Output that does not accurately reflect real people, places, or facts.
When you use our Services you understand and agree:
- Output may not always be accurate. You should not rely on Output from our Services as a sole source of truth or factual information, or as a substitute for professional advice.
You are
responsible for Content
Input and Output
Output that does not accurately reflect real people, places, or facts
You should not rely on Output
Digital ethics focus
Diversity, Equity, Inclusion, Belonging, and Decolonization (DEIBD)
Respect Author Rights and Re-use Permissions
Technology and Usability
Data Responsibility
Selected: Riff
Backed by research
Not used for training
Easy to set up
Educator access
Advantages
Selected: Riff
Data goes to the U.S.
Can't choose LLM
Advantages
Disadvantages
Backed by research
Not used for training
Easy to set up
Educator access
Activity
Week daily
10 minutes
Findings
Asked questions
Deeper reflection
Context aware
Positive
Findings
Repetitive
Usability
Data storage location
Asked questions
Deeper reflection
Context aware
Positive
Room for improvement
Run
2024+
EPEPLA
EPortfolio Evolution Powered by Language Analysis
Assessment
Feedback
Visualisation
Workshop on 9 September 2024
Application form: tiny.cc/AAEEBL-Apply2024
Deadline: 15 September 2024