Building an AI/NLP-Based LMS and TSS for Higher or Continuing Education

The platform automates and optimizes the learning process especially for students with special needs, provides personalized learning experiences, and offer data-driven insights to learners and instructors alike.

Contrary to other existing platforms, our aim is not to allow teachers to create courses quickly, but to provide an environment where new pedagogical approaches can be experimented or improved thanks to artificial intelligence.

We rely on open-source LLMs (and other top-notch NLP technology) for the following reasons:

  • We want to remain independent.
  • The platform can be hosted locally.
  • The data stay in our databases and can also be stored locally.

What the Platform Offers:

For professors and Instructors:

  • New methods for student evaluation
  • Automated feedback software
  • Tools for process-based syllabi
  • Evaluation designs that prevent “AI plagiarism” by students
  • Tools for process-oriented and performance-based assessment.

For students:
To begin with …

  • Free access to an online English course that mimics social interaction in the target language.

  • The opportunity to learn in a both multimodal and completely immersive environment with the support of the learning community and a tutor via an internal chat application as well as an AI assistant.

  • The opportunity to define their learning journey according to their personal needs and tastes
    For institutions:
    The learning platform can be used in all the types of teaching environments ( online, hybrid and in the classroom)
    It can be operated in an entirely private environment.
    Technical tools: LLMs: Mistral Llama2, Mixtral. NLP : NLTK, SPACY, other tools Pytorch, Tensorflow…
    Didactic approach: Vytgotskyan + task-based approach

It looks cool , what is the progress of its completion?

Hi!
To answer your question, we are still in the development phase. The platform is fully functional and we are adding content and NLP tools to it presently.
Thank you for your interest,
N. Jammet

Oh okay, Nadine.
Good luck with your work.