Difference between revisions of "Education Pathways"
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| Line 12: | Line 12: | ||
*** Age etc.. | *** Age etc.. | ||
*** Aspirations | *** Aspirations | ||
| + | ** Get environmental data | ||
| + | *** Access to finance | ||
| + | *** Economic conditions | ||
| + | *** Benefits of Educational Outcome | ||
* Overlay any dependencies | * Overlay any dependencies | ||
** Automated identification of dependencies via NLP, downstream word co-relation | ** Automated identification of dependencies via NLP, downstream word co-relation | ||
Revision as of 17:45, 14 February 2019
- Badging
- Get input data
- Dataset of all courses
- Create components of courses
- Course tagging, MDM, metadata
- Get Student Data
- Aptitude
- Location of Residence
- Socio-Economic profile
- Age etc..
- Aspirations
- Get environmental data
- Access to finance
- Economic conditions
- Benefits of Educational Outcome
- Dataset of all courses
- Overlay any dependencies
- Automated identification of dependencies via NLP, downstream word co-relation
- Tokenisation, Topic Modelling
- Graph Pathways
- Overlay value of courses
- Based on demand, Based on market need, Social feedback
- Scoring of courses using sentiment analysis
- Recommendation
- Based on user selection?
- Based on university marketing?
- Based on end goals?
- Based on user aptitude?
- Recommendation using inputs + trained recommendation model
