MetaCore Education · for educators and learners

More time to teach. More ways to understand.

A learning coach, knowledge curator and thinking partner. MetaCore AI Persona helps pupils and students build their own understanding, while helping teachers and lecturers prepare, notice and guide learning.

Find your learning path → Open the Academy Discuss your needs
Trusted sourcesEducator judgementIndividual supportLearning continuity
Teachers and learners at the MetaCore Education table — AI Persona coordinates disciplines, knowledge and learning context.
Educator · learner · AI Persona Knowledge connects. Learning continues.

AI Persona helps connect teaching materials, questions and previous work. MOKSLO CORE provides the educational context, while Teacher / Learning Persona supports teaching and learning. Work context and source provenance remain when the AI model changes.

  • Teaching materials
  • Learning context
  • Human oversight
What powers the PersonaMOKSLO CORE keeps the education context underneath.

Official curriculum, source provenance, currentness, evidence and human authority stay connected while the AI model can change.

01Official curriculum02Source currentness03Evidence classes04Human authority
See MOKSLO CORE →Open live →
MetaCore Education · for people who learn and teach

Explore together. Discover for yourself.

From a first question to a shared project, AI helps connect knowledge, test ideas and continue previous work. You remain the author of your learning.

For pupils and students

At your pace. With your questions.

A companion to revisit an explanation, explore another example and find your own answer. Support draws on your work, questions and feedback.

  • Understand, not just finishHints, examples and questions help you work through the task yourself.
  • Plan your learningTopics, sources, deadlines and manageable steps shaped around your goal.
  • Think and create togetherProjects, research, source checking and agreed roles within a team.
  • See your progressReturn to earlier work, reflect on mistakes and choose your next step.
Discuss your learning needs →
For teachers and lecturers

More room to teach and notice.

Curriculum, materials, learning context and collaboration in one continuous workspace. AI helps prepare and consider alternatives; educators retain professional judgement.

  • Curricula and lessonsGoals, topic sequences, task variations, projects and assessment criteria.
  • Class and group dynamicsDiscuss participation, pace and collaboration using observations, without labelling learners.
  • Teams and rolesClear responsibilities, rotating roles and agreements among educators and specialists.
  • Knowledge that staysRetained materials, sources, feedback and previous decisions.
Discuss your teaching needs →
AI Persona · your learning companion

Not instead of you. Alongside you.

As a coach, it offers a manageable challenge. As a curator, it helps navigate knowledge. As a thinking partner, it asks questions and helps check arguments. As your skills grow, support gives way to greater independence.

  1. AskClarify the goal and what is still unclear.
  2. ExploreExamine sources, examples and different explanations.
  3. Try for yourselfDevelop your solution, test a hypothesis and learn from mistakes.
  4. Reflect and continueIdentify what you understand and where to go next.
Respect for the person · ethical foundations

Understand the person. Do not attach a label.

One piece of work, reaction or difficult day does not define a person. Additional interpretive layers support questions and testable hypotheses, not fixed personality descriptions.

Facts are not assumptions

Distinguish observations, the person's account and AI interpretation. Ask when context is missing.

The right to correct and change

People can disagree, clarify context and choose another path. Symbolic interpretation is not evidence of ability, emotion or suitability for a role.

Support builds independence

AI does not replace friends, educators or specialists. Assessment and consequential decisions about learners remain with people.

Education boundary. MetaCore supports preparation, knowledge organization, guided learning and education operations. It does not replace educator judgment, safeguarding duties or institutional accountability, and it should not make automated high-stakes decisions about learners without appropriate human oversight.
WHERE METACORE HELPS

From one learning moment to the whole education team.

Begin where time, attention or context is being lost today. MetaCore helps people prepare, learn, collaborate and retain what has already been understood — without taking judgment away from the learner or educator.

FOR EDUCATORS

Lessons and learning programmes

Bring goals, topic sequences, source material, assignment variants and assessment criteria into one coherent workspace. AI helps prepare; the educator decides.

A clear place to startone topic or a recurring lesson
FOR A PROGRAMME

Knowledge that does not disappear

Organize sources, teaching material, previous work and decisions so educators, learners and teams can continue from where they stopped.

A clear place to startone programme or knowledge area
FOR LEARNERS

A personal learning companion

Explains in another way, helps shape the next steps, tests an argument and reflects on mistakes — without doing the work instead of the learner.

A clear place to startone real learning situation
FOR SCHOOLS AND UNIVERSITIES

A smoother education team

Shared agreements, roles, handoffs, schedules and recurring processes become easier to see. Less searching, repetition and lost context.

A clear place to startone recurring team process
FOR RESEARCHERS

From a question to a defensible conclusion

Sources, hypotheses, experiment notes and evidence remain connected. AI helps analyse and compare; a person evaluates the conclusion.

A clear place to startone research or learning question
FOR THE INSTITUTION

Safe and responsible AI

Make visible what AI may suggest, what must be verified and where only a person decides. No automated labelling of learners.

A clear place to startone AI policy or bounded use case

One real need. One clear starting point. Then we build continuity around people, knowledge and work that already exists.

Discuss your education path →
How it works

Intent → knowledge → Persona → guided work → review → continuity.

The goal is not to hide educational judgment behind automation. It is to make context, source quality and decision responsibility easier to see.

Education Intent+Governed Knowledge+MOKSLO CORE+Teacher / Learning Persona+Human Authority+Evidence=MetaCore Education Operating Layer
Teacher and MetaCore Education layer — intention, knowledge, Persona and guided work in one operating view.
01PurposeDefine the learning, teaching, research or operational objective.
02SourcesIdentify curriculum, policies, institutional materials and trusted references.
03ContextBuild the relevant class, learner, curriculum or institutional context.
04WorkPrepare, guide, compare, summarize or coordinate within the approved role.
05ReviewEducator or institutional authority validates material actions and conclusions.
06ContinuityVerified materials, decisions and learning state remain available for the next cycle.
MOKSLO CORE · source-grounded education intelligence

AI Persona does not begin from an empty prompt. It works over a living education graph.

MOKSLO CORE connects official curriculum, methodical resources, legal context, assessment routes, system data and scientific evidence. AI Persona uses that governed context without flattening source, hypothesis and fact.

50curriculum programme objects mapped in the current Core snapshot
456/456methodical detail pages source-verified in the stored snapshot
12public eMokykla source routes mapped for controlled use
5authority bridges: legal, assessment, system data, science and runtime
01 · SOURCE LAYER

Official sources

Each question is routed to the smallest relevant authority.

eMokyklae-TARNŠAŠVISScientific evidence
02 · DOMAIN CORE

MOKSLO CORE

Education and science stay connected through provenance, currentness, explicit evidence classes and reproducible research workflows.

Curriculum graphContent bodyAchievementsProgressionAssessmentMethodical layerSystem contextResearch evidence
03 · OPERATING ROLE

AI Persona

Teacher, Learning and Research Personas receive the relevant slice of context, preserve provenance and continue work across sessions.

Teacher PersonaLearning PersonaResearch PersonaContinuity
04 · FINAL AUTHORITY

Human authority

The learner, educator and institution remain responsible for consequential judgment, review and action.

LearnerEducatorInstitutionReview
Evidence boundary. Currentness is component-level. Portal listing ≠ legal effect. Official methodical resource ≠ efficacy evidence. AI support ≠ automated judgment.
Open MOKSLO LAB live →See the context field →

Counts describe the current source-bounded MOKSLO CORE map, not every education record in Lithuania.

MOKSLO CORE · CONTEXT FIELD

One subject is not one text. It is an entire context field.

For a query such as “Mathematics · Grade 5 · 2026–2027”, AI Persona can receive a connected view of curriculum, achievement, methods, resources, assessment, authorities and authorised working context — not merely a generated answer.

National source-of-truthSubject-specific semanticsAuthorised local context
01 · TIME

School year and currentness

The 2026–2027 period, check dates and component-level currentness remain explicit. Older layers do not silently become current.

02 · PROGRAMME

Stage · grade · subject

Education stage, exact grade, subject and official programme identity establish the first frame around the question.

03 · AUTHORITIES

Who is authoritative for what

eMokykla for curriculum; e-TAR for legal effect; NŠA for assessment; ŠVIS for system reality; Science Core for independent evidence.

04 · SUBJECT SEMANTICS

What learning means here

Goals, competences, learning content, achievement areas and specific outcomes remain linked instead of flattened into one summary.

ACTIVE SUBJECT LENSMathematicsGrade 5 · 2026–2027 · basic education
1 programme object18 methodical matches3 resource routes5 authority bridges

Persona receives the smallest relevant slice of context — not the whole database and not one flattened prompt.

05 · RESOURCES

What can be worked with

Methodical resources, textbooks, SMP and digital resources remain separate source routes with their own provenance.

06 · PROGRESSION + ASSESSMENT

Where this sits in the learning path

Progression, achievement levels and assessment logic are tied to the specific stage and grade rather than an abstract knows / does not know label.

07 · AUTHORISED LOCAL CONTEXT

What is happening here

Teacher goal, lesson task, institutional material, previous work and feedback are added only when authorised access exists.

08 · EVIDENCE + PROVENANCE

What is actually known

Source, period, checked date, epistemic class, contradictions and MISSING_DATA remain visible rather than silently filled.

CURRENT CORE LENS

Mathematics · Grade 5

1Programme18Methodical3Resource routes5Bridges
CURRENT CORE LENS

History · Grade 9

1Programme29Methodical3Resource routes5Bridges
CONTEXT DELTASame architecture. Different subject-context depth.

In the current stored snapshot, Grade 5 mathematics resolves to 18 methodical matches while Grade 9 history resolves to 29. This is not a quality score; it is the amount of context found by the resolver.

Mathematics · Grade 518
History · Grade 929

Important boundary. MOKSLO CORE represents subject, source and system context; it does not profile a learner as fact. Personal context is attached only when authorised, and consequential decisions remain human.

Open MOKSLO LAB live →

Counts are produced by the current stored MOKSLO CORE resolver snapshot; they are not counts of every object in the public portal.

Capability stack

What is actually underneath.

A model can generate content. The operating layer keeps knowledge, role, authority, evidence and continuity separate and explicit.

DOMAIN

MOKSLO CORE

Education workflow grounding, teaching structure, knowledge methods and governed learning patterns.

PERSONA

Teacher / Learning Persona

Persistent operating role and task context for preparation or support. It does not replace educator responsibility.

KNOWLEDGE

Knowledge Context

Curriculum, institutional materials, prior outputs, source provenance and reusable learning context.

AUTHORITY

Human Authority

Educators and institutions retain judgment over assessment, safeguarding, policy and other consequential decisions.

RESEARCH

Evidence & provenance

Separate source-backed knowledge, interpretation, hypothesis and unresolved questions instead of flattening them together.

CONTINUITY

Persistent workspace

Keep verified materials, handoffs, project state and knowledge available across sessions and models.

GOVERNANCE

Policy & allowed actions

Define what AI may prepare, suggest, access or execute, and what requires review or remains prohibited.

INVARIANT

The intelligence can change.

The operating system remains: context, authority, evidence, continuity and human guidance.

Existing learning surfaces

The vertical organizes the path. Existing modules provide depth.

Education is broader than training. Academy remains the operator-training module; MetaCore Science (Research / LAB) and Context provide separate evidence and continuity lanes.

Existing module

MetaCore Academy

Training, practice, operator qualification, workshops and Human Grounding alongside AI already have a dedicated Academy surface.

Open Academy →
Research / LAB

MetaCore Science

Source provenance, experimental workflows, evidence reconciliation and scientific AI infrastructure live on science.metacore.lt — the Research / LAB surface for science institutions, specialists and learning continuity.

Open Science LAB →Context →
Evidence & governance

DELTA + Trust

Measure a bounded learning or operations workflow before wider rollout. Trust Center keeps policy, privacy and responsible-use boundaries visible.

DELTA →Trust Center →
Product path

Use the operating level the education workflow actually needs.

Education is a domain capability across the MetaCore product ladder. Training, workspace persistence, execution capacity and organizational deployment remain separate choices.

A student works with MetaCore Education — learning context, Persona and product path in one operating view.
01 · USE

MetaCore User

Account & services

Use eligible education services and account functions without a workspace subscription.

→
02 · CONTINUE

MetaCloud 1GB

Personal AI Workspace

Persistent teaching, learning or research context, files, outputs and Persona continuity.

→
03 · EXECUTE

Business Codex 50

Professional execution workspace

For institutional knowledge, integrations, data workflows and server-backed education operations.

→
04 · EXPAND

Enterprise Quantum 150GB

On request

Higher-capacity enterprise execution when real organizational data and project scope require it.

→
05 · TRANSFORM

Individual Enterprise

Corporate & Team

Workshop + Operator + custom education roles, knowledge architecture, integrations, governance and team workflows.

Products & pricing →Organizational deployment →
One measurable education pilot

Choose one recurring workflow. Measure improvement without removing educator control.

A strong pilot is deliberately narrow: one teacher-preparation routine, one curriculum knowledge area, one learner-support flow, one administrative process, one research workflow or one AI governance case.

TimePreparation, search, handoff or administrative cycle time.
QualityCompleteness, consistency, reuse and educator correction rate.
EvidenceSource provenance, review completeness and unresolved questions.
ControlEducator oversight, policy adherence and absence of automated high-stakes decisions.
Request an Education pilot →Explore Academy →

MetaCore Platform gives agents a coordinating system for action.

AI Persona is an operational assistant that monitors and responds. For Education, that means governed knowledge and AI assistance around educator authority, evidence, continuity and real learning workflows.

Discuss Education →Back to Mission Router
MetaCore Academy · practice and qualification

Work with AI without chaos. With context, boundaries and responsibility.

Academy develops more than passive tool users. It prepares people who can shape an AI operating role, manage context, verify results and work safely with a team.

Open Academy →
academy.metacore.lt
  1. Foundationssafe entry and a shared language
  2. Operatorpractice, guidance and boundaries
  3. Team Leadworkflows, people and deployment
  4. Mentoroperator growth and continuity

Learning happens through real practice — human judgment stays at the centre.

MetaCore Science LAB · evidence and DELTA

From hypothesis to a verifiable change.

Science LAB connects sources, data, experiments, model comparison and human judgment in one research workspace. Capture the BEFORE state, run a bounded trial and evaluate the real DELTA.

Open Science LAB →Launch DELTA TEST LIVE →
science.metacore.lt
  1. BEFORE baselineinitial state, sources and measure
  2. AI Lab Livea bounded experiment in one workspace
  3. Evidence comparisonmodels, results and differences
  4. Human conclusionapproval, boundaries and next step

A result is claimed only when the DELTA is visible in the evidence.

Education inquiry

Request integration into a teaching / learning system.

Tell us your role and how MetaCore Education should connect to your curriculum, LMS, knowledge base or institutional workflow. The MetaCore team will review the scope while educator judgment and safeguarding remain human-controlled.

✦ Education · integration questionnaire

Describe who you are and what should be integrated.

For schools, universities, training centers and education teams. Start from one workflow — teaching preparation, knowledge base, learner support or institutional operations.

01 RoleStudent · Teacher · Leader · Specialist · Professor
02 IntegrationWhat system / workflow should MetaCore join
03 ScopeAuthority, evidence and next step
Selected role

Teacher / Lecturer

Change your role below. High-stakes learner decisions remain under human oversight.

Secure request · reviewed by the MetaCore education deployment team
What to describe
Give us the education picture
  • Your role in the learning system
  • LMS / curriculum / knowledge tools in use
  • 1–2 workflows to integrate
  • Where educator review must stay
What happens next
From inquiry to proposal
  • We review role and integration need
  • Confirm scope and authority boundaries
  • Send a bounded education / Academy proposal
  • Onboarding starts after approval
Want training first?
Open Academy

academy.metacore.lt is for practice and qualification. This form is for institutional integration and deployment requests.