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

Visualisation of the 10 digital ethics principles by the AAEEBL Task Force arranged in squares with empty ones indicating that there could be more in the future

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

Join the Digital Ethics Task Force

Crawl, skip, jump, run? A foray into using AI in portfolios

By Kristina Hoeppner

Crawl, skip, jump, run? A foray into using AI in portfolios

20x20 presentation by Kristina Hoeppner (Catalyst IT) at Eportfolio Forum on 11 September 2024. Recording at https://youtu.be/YfzUr7cWTT0?feature=shared

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