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Recursos en español · Evaluar el aprendizaje con IA

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AI Competency Validation Intelligent System

Learn with purpose. Demonstrate your competencies.

ACVIS is an educational platform with a working prototype for complete learning and competency validation journeys. Bring knowledge gained at work, through self-study, in other institutions or with AI assistance for assessment, or develop your capabilities through a structured pathway with practice and feedback.

Developed within the broader human-development vision of SERAS, ACVIS structures learning so people can practice, explain and apply what they learn, with evidence that supports review and improvement.

Pedagogy guides the journey. Evidence supports validation.

Working prototype · v0.11.7

Complete journeys, documented outcomes.

Complete journeys have been tested internally, including founder-led use and the generation of records and documents.

Learning and practice

Objectives, activities, feedback and a documented closure.

Formative report + statement of participation

Competency validation

An approved scope, assessment, evidence and an ACVIS decision.

Certificate + report when requirements are met

Current operation: local and supervised. Participant and institutional pilots are the next stage.

What is ACVIS?

Learning with structure. Validation with evidence.

ACVIS began with two questions: “How can I demonstrate everything I know?” and “What if I do not know as much as I think I do?” These questions connect diagnosis, learning and validation around what a person can demonstrate.

With prior knowledge, you can request a sufficiency assessment within an ACVIS-approved scope, without first completing a learning pathway in ACVIS. To develop your capabilities, diagnosis helps guide a personal, ACVIS or institutional learning pathway, with the learning AI you choose.

The result explains what was observed, under which conditions, and what the evidence allows us to conclude.

Read the complete definition →

Working prototype · v0.11.7

What you can complete in ACVIS today.

The prototype connects the steps of learning and competency validation in working software: from objectives and preparation to activities, assessments, recorded decisions and the corresponding documents. Its personal, institutional and ACVIS Administration spaces support these journeys.

Readiness and design

Complete account induction, use contextual diagnosis to orient learning, choose a personal or predefined program and plan sessions within the declared time budget.

Libraries and portals

Manage ACVIS and institutional libraries, program versions, assignments and participant access through the Personal, Organization and ACVIS Admin spaces.

Learning and practice

Work with the AI freely chosen for learning, record sessions and activities, complete formative simulations and preserve reflections and supporting evidence.

Formative closure and documents

Close a learning journey and generate its formative report and statement of participation, including when activities remain pending. Participants can also request a pedagogical interpretation of their records.

Validation and certification

Complete assessment within an approved scope, including sufficiency without a prior ACVIS learning route. Evidence, results and controls support an ACVIS decision, with a certificate and report issued when the requirements are met.

Quality and improvement

Review descriptive indicators, satisfaction, suggestions and problems to support improvement. ISO 21001 is a reference for ongoing work to align educational management with its requirements.

Tested through complete internal journeys

Internal testing, including founder-led use, has covered complete journeys and the generation of their records and documents. Technical checks also exercise workflows, permissions and record integrity.

These checks establish operation in the cases tested. Participant and institutional pilots will extend the evaluation to external use and outcomes.

How the prototype operates

The prototype currently operates locally with supervision. Participants transfer prompts and reports manually between ACVIS and their chosen AI. ACVIS Administration prepares and reviews pedagogical interpretations and validation decisions.

Arrange a supervised demonstration →

The broader educational vision

SERAS gives the journey its human purpose. ACVIS makes the outcome demonstrable.

SERAS and ACVIS form one person-centered educational vision with complementary functions. SERAS connects reflection, values, purpose, knowledge, and responsible action. ACVIS structures objectives, quality, evidence, assessment, validation, and continuous improvement.

Human, educational, and social purpose

SERAS

SERAS logo

Develops awareness, values, autonomy, knowledge, and the capacity to act through defined and curated learning pathways.

Educational platform

ACVIS

ACVIS official logo

Connects diagnosis, learning, practice and assessment around competencies, with traceable evidence and reviewable decisions across personal and institutional pathways.

ACVIS connects the SERAS vision with an open framework for learning and validation.

For learning, the model includes personal pathways designed with AI assistance, predefined ACVIS offerings such as SERAS and other programs, and pathways that institutions and organizations design and offer to their own participants.

Explore SERAS and ACVIS

How it works

From your starting point to an outcome you can explain.

Learning and validation connect according to your objective and starting point. A sufficiency assessment does not require a prior learning pathway in ACVIS; it retains the applicable criteria, evidence requirements and validation controls.

YOUR OBJECTIVE

Define your objective

Identify what you want to learn or demonstrate. Competency validation requires a defined scope and assessment criteria.

YOUR STARTING POINT

Choose your entry

Bring prior learning to a sufficiency assessment, or use diagnosis to help orient a learning pathway. Learning may have taken place at work, independently or in another institution.

LEARNING, WHEN NEEDED

Develop your capabilities

When you choose a learning pathway, plan objectives, practice with the AI you freely choose for your work, explain your reasoning and review your progress.

IF YOU SEEK VALIDATION

Demonstrate a competency

Dedicated assessments examine performance against defined criteria, with supporting evidence and controls. This applies to both sufficiency and validation after a learning pathway.

YOUR OUTCOME

Review the outcome

Receive a formative report and statement of participation, or a validation decision leading to a certificate and report when the requirements are met. Each outcome records its scope and supporting evidence.

GUIDED WEB DEMONSTRATION

Learn, demonstrate and understand the outcome.

These short illustrative examples explain the learning and sufficiency journeys implemented in the ACVIS prototype. Explore a diagnostic sample or a prior-knowledge assessment and follow the supporting records. This web experience uses sample activities and outcomes; a supervised demonstration shows the working software.

Next stage

Bring the working prototype to participant and institutional pilots.

The next stage builds on complete journeys already tested internally. It will extend evaluation to external participants and prepare the conditions for public operation.

Evaluate with participants

Run supervised pilots with individuals and institutions. Observe how people understand and complete the journeys, review their results and use feedback to improve the experience.

Prepare public operation

Prepare hosted operation, user access, data protection, backups and operational support for use beyond the current local environment.

Make everyday use easier

Simplify manual transfers and evaluate direct AI integration and further automation. Pilot experience will help determine implementation priorities.

Further capabilities on the roadmap

Longer-term development includes biometric identity controls, advanced integrity monitoring and expanded public credential verification. These extensions will build on the prototype's existing access, assessment and review controls.

OPERATIONAL VISION SIMULATIONS

Explore the ACVIS operational vision.

These audiovisual simulations illustrate the ACVIS operational vision and a proposed interface.

Spanish version

English version

Choose your path

Different audiences, clear next steps.

Individuals

Explore how to demonstrate competencies learned in other environments, or develop what you need through a personal learning journey. Each outcome has its own evidence and scope.

Explore learning and validation

Institutions

Explore the working prototype for program management, participant support and evidence for improvement. Arrange a supervised demonstration and discuss a pilot for your institution or company.

Request an institutional demonstration

info@acvis.org

Impact

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

Explore how purposeful learning and evidence could expand opportunities while helping people develop understanding, independent judgment and the capacity to act.

Explore impact

Educational vision

SERAS and ACVIS: one vision, complementary functions.

See how human development, educational quality, learning pathways, evidence and validation connect across personal, institutional and corporate contexts.

Explore SERAS and ACVIS →

Educational foundations · English / Español

Human development, learning and evidence

Two web syntheses explain the conceptual foundations of ACVIS, with access to the complete original documents.

ACVIS contributes to the discussion on how to learn with artificial intelligence while developing intellectual autonomy. Its educational approach connects understanding, independent judgment and practice with the evidence needed to substantiate what a person can demonstrate.

From knowledge to evidence

AI-assisted learning, personal contribution and the evidence needed to support recognition.

A longstanding challenge across school, university and professional education, with new opportunities to improve assessment through AI.

Read in English →

Leer en español →

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 →

Contact

Talk with ACVIS about validation, demonstrations, or collaboration.

Lomas de Zamora, Buenos Aires, Argentina

info@acvis.org