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Continuous Education Training (CET) Course Recommender System

Technology Overview

A system that recommends relevant courses to participants based on their past enrollments, interests, and the behaviours of similar learners, intending to enhance engagement and promote continuous learning among potential participants.

The solution integrates advanced technologies, including VSCode, Generative AI, and Python-based AI recommender libraries, to generate dynamic eDMs at predefined intervals. It is fully customised to meet the potential training needs of each participant.

By automating and personalising course recommendations, this initiative will improve outreach efficiency, enhance learner engagement, and drive higher enrollment rates in upcoming courses.

CET Course Recommender System

Technology Features

  • Automate the eDM Process: Dynamically generates and distributes personalised eDMs at predefined intervals.

  • Implement a Recommender System: Utilise AI-driven recommendation models to suggest courses based on participants' previous enrollments and similar learners' choices.

  • Enhance Personalisation: Provide targeted recommendations, including higher-level courses and related disciplines, to encourage continuous learning.

  • Optimise Resource Utilisation: Reduce manual effort in marketing outreach while ensuring timely and relevant course promotions.

Potential Applications

  • Higher Participant Engagement: Personalised recommendations increase relevance, leading to better response rates.

  • Improved Enrollment Rates: More targeted promotions encourage repeat enrollments and course progression.

  • Operational Efficiency: Automation reduces the workload of marketing teams, allowing them to focus on strategic initiatives.

  • Scalability: The system can handle large volumes of participants and course offerings dynamically.

  • Data-Driven Insights: AI-driven analytics help refine recommendations, improving long-term effectiveness.

Benefits

  • Visualisation of the course and previous participants’ training engagement

  • Course prediction and recommendation based on past enrollments, interests, and the behaviours of similar learners

  • Customisable eDM to every potential participant

Commercialisation

The technology is available for licensing and deployment.

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