Difference between revisions of "Education Pathways"

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Line 2: Line 2:
  
 
* Badging
 
* Badging
* Create dataset of all courses
+
* Get input data
** Create components of courses
+
** Dataset of all courses
** Course tagging, MDM, metadata
+
*** Create components of courses
 +
*** Course tagging, MDM, metadata
 +
** Get Student Data
 +
*** Aptitude
 +
*** Location of Residence
 +
*** Socio-Economic profile
 +
*** Age etc..
 +
*** Aspirations
 
* 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 18:43, 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
  • 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

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