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ELINA 2.0AI Academic EduSuite

The goal is a learner who can.

Don’t take away
the thinking.
Take it further.

Every “I don’t get it” is a chance to build understanding. ELINA helps students explore, attempt, and find their way forward—with teachers at the heart of the journey.

See ELINA for your school Discover what ELINA does
Curriculum-aligned learningActive participationTeacher-guided growth

What is ELINA AI?

Help for the learner.
Clarity for the teacher.

ELINA AI is a curriculum-aligned learning companion within ELINA 2.0. It helps students understand their lessons, practise with purpose, and find a way forward.

For teachers, it supports the preparation and follow-up around a lesson, so more attention can go to the students who need them.

  1. When a learner gets stuck

    “Help me understand.”

    Ask a question, explore a different explanation, and connect the lesson to something familiar. Learning can respond to the student, instead of asking every student to follow the same explanation.

    A way into the lesson.

  2. When it is time to practise

    “What should I work on next?”

    Try questions, work through feedback, and see where understanding is strong or needs more attention. Spend time on the next useful challenge, with room to try, make mistakes, and improve.

    Practice with a purpose.

  3. When a teacher plans the next step

    “Who needs a little more support?”

    Bring lesson preparation, learning activities, assessment, and follow-up closer together. A clearer picture of learning needs helps teachers decide where to revisit an idea, offer support, or stretch a learner further.

    More informed teaching. More personal support.

The work around the lesson, connected

More support for the process.
More room for the teacher.

Preparation, teaching, assessment, and follow-up belong to one learning cycle. ELINA helps with the work between them, while you decide what the class needs.

Walk in prepared. Stay open to the unexpected.

Turn a learning goal into a lesson, a useful activity, and a different way to explain the difficult part. Spend your preparation time making choices that suit your class.

  1. Shape a lesson around its learning goal
  2. Adapt an activity to the class
  3. Prepare a way to check understanding
A student thinking through a geometry problem and working in her own notebookThe work is still hers.
The support is closer.

Confidence without dependence

The best support
helps you need
less of it.

Handing over an answer is easy. Helping a student build the confidence to attempt the next problem is the work that matters.

Let the learner do the work.

Use prompts, hints, and feedback to keep the student involved. Ask them to explain, apply, and try independently.

Make space for an original idea.

Question an explanation. Compare approaches. Create something and defend a choice. Creativity needs participation.

Keep the teacher in the loop.

Teachers set expectations, review progress, and assess independent work. The tool supports that relationship.

Beyond the next mark

Learning that leads somewhere.

A stronger grasp of a subject is a beginning. Help students connect what they learn with what they can become.

Build capability

“I can do
something with this.”

Turn understanding into projects, practical skills, and a record of growth that goes beyond a report card.

Find direction

“I can see
a path for myself.”

Explore interests, higher education, and career possibilities with a clearer view of personal strengths.

Meet opportunity

“I can show
what I bring.”

Prepare to tell that story through applications, portfolios, and interview practice. Carry confidence into the next chapter.

For students, teachers, and families: a fuller picture of growth, and a better conversation about what comes next.

The learning design matters

Promising research.
A thoughtful direction.

Read the research

A 2025 randomised trial in a Harvard physics course found higher learning gains with a purpose-built AI tutor across two lessons. Its design encouraged active learning, paced explanations, and feedback.

Those principles inform the direction we care about: students participating in their learning, supported by a tutor and guided by their teachers.

What this means for ELINA

The study tested a different tutor, not ELINA, and does not establish outcomes for our platform or every school setting. It is a reason to take learning design seriously, not a promise of identical results.

Kestin et al. · Scientific Reports 15, 17458 · 2025 · 194 undergraduate students

Thoughtful questions deserve clear answers.

Stronger learners.
Not shortcuts.

All questions & answers
Will AI make students lazy or dependent on answers?

It can, if students use it only to skip the thinking. ELINA’s learning approach is built around participation: explain an idea in your own words, try a problem, use a hint, and practise again. Teachers still set expectations and assess independent work. The aim is a learner who needs less help over time, not more.

What about creativity and critical thinking?

A useful learning tool should make room for original thought. Students can question an explanation, compare approaches, make something, test it, and explain their choices. ELINA’s wider journey connects understanding with projects, skill development, reflection, and future direction. AI output should be a starting point to examine, not a substitute for the student’s own judgement.

Is this meant to replace teachers?

No. ELINA 2.0 supports preparation, explanation, practice, assessment, and insight into learning needs. Teachers bring judgement, care, and classroom context. The aim is to make more room for that human work, while helping students arrive better prepared to participate.

Does ELINA support students beyond school subjects?

Yes. The wider EduSuite connects academic understanding and practice with skill building, projects, higher-education exploration, career direction, and preparation for opportunities. The story is one learner growing over time. We demonstrate the relevant journey and agree its scope with your institution.

What does the Harvard AI tutoring research actually show?

A 2025 randomised study in a Harvard undergraduate physics course found higher learning gains with a carefully designed AI tutor than with in-class active learning across the two lessons studied. It supports taking learning design seriously: pacing, feedback, and active participation matter. The study did not evaluate ELINA, and its results are not a promise of the same outcome for every learner or school. The full paper explains the setting and limitations.

Read the published study

How do you handle student and institutional data?

Our User Data Policy describes ownership, intended use, and information rights. During evaluation, we discuss the access, retention, and data arrangements that apply to your institution.

Every learner.Every teacher.Every school day.

Your school’s next chapter

Give every learner a way forward.

Let’s explore a learning journey that helps your students think deeper, your teachers respond better, and your school look further ahead.

Arrange a school demo