Page Comparison

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Video Recording

Google Doc

Notes:

Split into 3 topics

1. Learners to discover their own learning approachesHow do we find the match?
   1. How are we going to recognize the match
2. OERs

   1. Possibility to work with Gooru’s OER repository

      API Docs: http://readme.gooru.org/docs

3. Matching
   1. The feedback of whether matching results work or don’t work for learners will be reported to both learners and the system.

Next steps:

1. Environmental scan: What learning resources are available. What attached to them
2. Jutta will provide scenarios about what learners will ask for
3. Jutta will provide some links for the prior work of the environmental scan

Jutta's input:

Scenarios

Here are some scenarios. These are not intended to be requirements that we should cover. They are intended to help us map out what we can and cannot do and how this fits into the FLOE infrastructure. One of the assertions of the project is that AI or smarts may not be appropriate or does more harm than good in many scenarios. What is a viable alternative to programs such as Squirrel AI? If the learners become the data scientists in their own learning, what are the accessibility barriers? Can we model more accessible tools? How far can we go in making it easier to find a learning experience that matches the learner’s changing understanding of what works best for them?

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With a glossary look-up of difficult words.

Clarifications regarding the Discovery and Exploration Layer:

-       The tool is for the student to discover and explore what works best for them

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-       The idea is to give the learner/student an opportunity to state a question, determine how they will answer the question, and refine or contextualize the answer.

Starting practical questions:

1. How much manual metadata can we replace (see the list of accessibility metadata from the project with OER Commons, see: https://www.oercommons.org/advanced-search and https://metadata.floeproject.org/demos/metadata/ and https://wiki.fluidproject.org/display/fluid/%28Floe%29+Metadata+Authoring+and+Feedback+Tools?preview=%2F37855787%2F39224710%2Fmetadata-search.pdf)

• Can we detect whether a resource has captioning, or description, is amenable to alternative layout and text styling, whether the images have alt-text etc. 
• Can we detect the format of the resource, the language of the resource, the reading level, etc.

Other technical tasks related to this:

If learners are to become data scientists into their own learning, what tools are available to do this and how accessible are they? These include tools for:

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