ACVIS official logoACVIS
Menu

Impact

AI expands access to knowledge and learning. Validation builds trust in what each person can demonstrate.

ACVIS is an educational platform whose purpose is to help people develop understanding, judgment and the capacity to act. It structures AI-assisted learning, practice and assessment so that progress can be examined and competency claims have an explicit basis in evidence.

Our impact horizon

Widening the opportunity to learn and develop throughout life.

If ACVIS demonstrates its effectiveness and achieves widespread implementation, it could help substantially reduce the cost of access to structured learning and opportunities to demonstrate what has been learned. Its potential includes reaching people who face financial, geographic, time or institutional access barriers.

Learning with fewer barriers

Learning from different locations, planning around available time and using AI assistance could reduce travel, material and some educational support costs. ACVIS seeks to provide the structure and criteria that turn this flexibility into a learning process that can be followed and assessed.

More opportunities to demonstrate capabilities

People who learn independently often face difficulties making their abilities visible. If ACVIS validations achieve quality and recognition, they could open additional routes to further study, employment opportunities and personal projects, complementing existing educational pathways.

Human development throughout life

Widespread implementation could also bring programs such as SERAS to young people and adults in different circumstances. This horizon includes reflection, autonomy, values and the capacity to act alongside the acquisition of knowledge, expanding opportunities for personal development and responsible participation in society.

Using AI to exercise our capabilities

The purpose is for people to become more capable of understanding, deciding and creating for themselves. ACVIS seeks to organize experiences in which participants practice, explain their choices, question results and apply what they learn in new situations. AI assistance should support that development while keeping the person intellectually involved.

An ambition to test through evidence

This is ACVIS's intended impact horizon. Reaching it will require evaluating educational outcomes, costs, accessibility and recognition through pilots and sustained work with people and institutions. Connectivity, accessible design, human support and reliable assessments remain essential conditions.

The challenge

Access to knowledge does not automatically create trustworthy evidence of competency.

A useful AI-assisted output and a capability developed by the person are different things. Assessment needs to examine what the participant understands, can explain, can correct and can apply, with the permitted assistance made explicit.

The educational challenge is to connect access to information with practice, reflection and personal understanding. Evidence helps distinguish what was produced, how the person participated and what that participation allows us to conclude.

ACVIS organizes learning around objectives, practice and evidence so that progress can be reviewed and competencies can be assessed against defined criteria.

Demonstrate

Connect claims to activities, evidence, and observable performance.

Explain

Make criteria, scores, reviews, and decisions reconstructible.

Govern

Keep the authority and applicable rules distinct from the external AI tutor.

Where ACVIS contributes

Purposeful learning and demonstrable capabilities for people and institutions.

For individuals

A framework for professionals, workers, self-taught learners, young people and adults to demonstrate competencies developed at work, independently or in other institutions. Those seeking further learning can use diagnosis, personal pathways or predefined programs to orient practice and development.

For institutions

A framework for institutions to design learning pathways and offer them as predefined programs to their participants, connecting preparation, activities, assessment and feedback with records that educators can review.

For organizations

Organizations can design their own pathways and offer them as predefined programs to their participants, connecting training with observable performance. Organizations manage programs and participants; ACVIS governs competency validation.

For the AI ecosystem

ACVIS organizes the educational process independently of the AI chosen for learning. Learning tools can evolve while ACVIS maintains its own objectives, evidence requirements and validation criteria.

The impact agenda focuses on readiness to learn, demonstrable progress and better educational decisions. Pilots will assess these outcomes in defined contexts using indicators, participant feedback and traceable evidence.

Human development and demonstrable outcomes

Within SERAS, ACVIS connects human-development objectives with learning activities, evidence and review. Its educational framework also supports personal and institutional pathways beyond SERAS, with outcomes interpreted within their defined scope.

Explore SERAS and ACVIS →

Evidence for educational improvement

Make progress visible. Use evidence to improve.

A record that can be reviewed

Learning activities, practice results and participant reflections provide a record of the journey. Defined criteria and supporting evidence make assessment outcomes and validation decisions reviewable.

View prototype status →

A process that learns from feedback

Records of satisfaction, suggestions and problems complement descriptive indicators. Together they help identify priorities, review the educational experience and plan improvements.

Recursos en español

¿Qué puede demostrar una persona cuando trabaja con IA?

Criterios y ejemplos para docentes y equipos de formación: definir las condiciones, observar el desempeño y explicar qué respalda cada conclusión.

GUÍA

Cómo evaluar el aprendizaje con IA

Desempeño asistido, aprendizaje y competencia demostrada: seis decisiones para diseñar una evaluación.

Leer la guía →

EJEMPLO DIDÁCTICO

Actividad y rúbrica comentadas

Una consigna con IA permitida, criterios observables, resolución y ficha de registro para adaptar.

Explorar la rúbrica →

Discussion papers

These discussion papers develop the educational foundations of ACVIS: AI-assisted learning, evidence of competency, traceability and the role of governed validation.