We research and apply AI in education.

We study knowledge modelling, adaptive learning and teaching agents. We publish research and develop educational products.

Conceptual diagram. Learning activities connect to attempts and mistakes, mastery estimates, task selection, feedback and spaced repetition. Research and publications connect to knowledge models and structure. Research Knowledge graph Attempts and mistakes Learning activities Task selection Spaced repetition Feedback Publications Mastery estimate

Our products

Plasmida.ai blueprint: review and practice, goals, plans and skills, career preparation, personal development. The numbers match the descriptions.

Learning shaped around your goals and circumstances

A personal AI tutor integrated with Plasma [Learn]. It takes into account the learner’s goals, deadlines, prior knowledge, cognitive profile and current circumstances.

Review and practice
Prepares review materials and short quizzes, converts text into audio and video, and creates labs for independent practice.
Goals, plans and skills
Learners set their own short- and long-term goals, learning plan and priorities, and Plasmida.ai helps them build a skills map and portfolio.
Career preparation
The career centre helps learners prepare a CV and learning records, follow vacancies and find internships. Learners can prepare for a specific role or company, and their upskilling plan is updated when employers’ requirements change.
Personal development
Supports transferable skills, empathy and useful habits with exercises, practical tasks and reflection prompts, tracks progress and adjusts the plan based on results.
Visit Plasmida.ai
Plasma [Learn] blueprint: courses and academies, individual learning paths, practice and review, AI agents. The numbers match the descriptions.

Build academies and run learning programmes

An LMS for creating courses and academies and for selling and promoting learning programmes. Learners get personal advisers and individual learning paths.

Courses and academies
Brings programme creation, sales, promotion and learning delivery together on one platform.
Individual learning paths
Takes each learner’s goals and individual characteristics into account. Personal advisers and integration with Plasmida.ai support learning along an individual plan.
Practice and review
Reinforces learning through practice and review, while LMS learning analytics show how learning is going and what to improve in a course.
AI agents on the platform
Plasma [Team], a team of AI agents, works inside Plasma [Learn]. The agents help learners reach their educational, personal and career goals, and help academies improve learning and day-to-day operations.
Visit PlasmaLearn.com
Plasma [Studio] blueprint: market and curriculum, content and practice, course review, improvements and updates. The numbers match the descriptions.

Build new courses.
Improve existing ones.

We are building a workspace for creating and improving courses with AI and experts, from market research to curriculum, content and practice.

Market and curriculum
Analysis of audience and market needs, learning objectives and the structure of a new or existing course.
Content and practice
Text, audio, video, practice exercises and labs, for a new course or for reworking individual modules.
Course review
Expert review and checks by an AI instructional designer and an AI legal reviewer: content, assessments and potential legal risks.
Improve and update
An improvement plan based on the review, new research and learning analytics from Plasma [Learn].
Discuss your course

About us

Our mission

To help people develop knowledge and skills through learning that fits their goals, prior knowledge and available time.

To work towards this mission, we are developing Plasmida.ai, Plasma [Learn] and Plasma [Studio]. We study personalised learning, knowledge modelling and pedagogical AI agents.

We share our findings on our blog and in research publications.

Plasma EdTech is owned by PIXEL LORIS IT SERVICES L.L.C. (Dubai, UAE).

Development principles

These principles guide how we design AI recommendations and handle learning data.

  1. Learners make the decisions

    We design our products so that goals, pace and learning plans stay under the learner’s control and AI only suggests the next step.

  2. We explain recommendations

    We want learners to see why a task, a review session or a career step was suggested and which data informed it.

  3. We collect data for a clear purpose

    Learning history, mistakes and personal plans deserve careful handling. People should know what is stored, who can access it and how to manage it.

  4. We show what our conclusions rest on

    We cite sources and research limitations, separate hypotheses from findings and welcome error reports.

  5. We support different ways of learning

    We design our products for people with different vision, hearing, mobility and perception needs, building in a choice of format and pace and support for assistive technologies.

Contact

Get in touch about research, ask a product question or suggest an article for publication.

Address

The Exchange TowerOffice G06-16, The Exchange Tower G06,
Business Bay, Dubai, UAE
Get directions

Company

PIXEL LORIS IT SERVICES L.L.C.

Registration number 1972922

Company information

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