Education Pathways

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Revision as of 04:47, 15 February 2019 by Terence (talk | contribs)
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Looking at data science products in the educational space.

  • 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
  • Overlay any dependencies
    • Automated identification of dependencies via NLP, topic modelling, downstream word co-relation
    • Tokenisation, Topic Modelling
    • Correlation of topics -> Correlation of Courses
    • Generate Educational Graph Pathways
    • Analyse Graph nodes for waypoints, course clusters (Badging)
      • Allows us to identify duplication in course content
  • Overlay value of courses
    • Based on demand, Based on market need, Social feedback
    • Scoring of courses using sentiment analysis
  • Recommendation
    • Based on user selection/user goals?
    • Based on university marketing?
    • Based on end goals?
    • Based on user aptitude?
    • Recommendation using inputs + trained recommendation model