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CHARAL 2026

The AI Augmented Learner Challenge

"From detecting AI use to demanding higher-order critical thinking"

Event Context

Challenge at MICAI 2026

Submissions

Closed (Oct 31, 2026)

Event Date

Concluded (Nov 5, 2026)

Location

Online Showcase · MICAI 2026

Convocatoria Concluida · Evento Finalizado

¡Gracias a todos por participar en CHARAL 2026!

La convocatoria de prototipos y la jornada oficial del evento en MICAI 2026 han finalizado con gran éxito. Nuestro más sincero agradecimiento a los investigadores, estudiantes, conferencistas, evaluadores y equipos que hicieron posible esta edición dedicada a elevar el pensamiento crítico mediante inteligencia artificial.

Award Confirmed: Top-performing AI systems secure publication inside Research in Computing Science (RCS - IPN)

Convocatoria Cerrada

Ver Sesiones y Keynote

Mission & Vision

Elevating Human Cognition

The Cognition First: The AI Augmented Learner Challenge Committee invites educators, researchers, faculty members, students, innovators, and industry professionals to submit technical prototypes for evaluation.

Instead of treating AI as a shortcut, these systems must interact with, audit, and evaluate the learner or researcher to ensure that critical thinking and deep reasoning are actively increasing.

Our initiative seeks to shift the educational paradigm from detecting AI use to demanding higher-order critical thinking when AI is used, enforcing rigorous engineering standards and foundational data governance.

Important Dates & Milestones

Challenge Timeline

Key milestones from workshops and submission to reviews and the final online event.

Step 1 • Sep 8 · Completed

Intro Workshop

Challenge Brief & AI Governance overview.

Step 2 • Oct 12 · Completed

Lovable AI Workshop

Live prototyping workshop by Dino Osmanagić. Sesión realizada con éxito.

Ver en Luma

Step 3 • Oct 31 · Concluded

Submission Deadline

Final deadline to submit live URLs, GitHub code, demo video, and governance docs. (Convocatoria Cerrada)

Step 4 • Nov 1–4 · Completed

Submission Reviews & Feedback

Showcase chairs audited live URLs, GitHub code, and governance docs, and shared feedback.

Step 5 • Nov 5 · Event Concluded

Finalists, Winners & Keynote

Online event successfully concluded: finalists and winners announced, plus keynote by Dr. Enrique Cortés Rello.

Ver en Luma

Official Events & Sessions

Keynote & Workshops

Sesiones en vivo, talleres de prototipado y conferencias magistrales realizadas en CHARAL 2026.

Keynote Speaker Dr. Enrique Cortés Rello

Official Keynote Speaker · Sesión Realizada

Keynote: The AI Augmented Learner Challenge

Dr. Enrique Cortés Rello

Director AI Hub (Tec de Monterrey)

AI Top Business Leader (MIT Technology Review)

Join visionary AI leader Dr. Enrique Cortés Rello as he addresses higher-order critical thinking, ethical cognition-first design, and the paradigm shift in artificial intelligence learning systems.

Thursday, November 5, 2026 09:00 – 09:50 AM CST Format: 100% Virtual

Ver Evento en Luma Powered by alexandr.ia AI Learning Systems®

Workshop with Dino Osmanagić - Lovable Ambassador

Live Prototyping Workshop · Sesión Realizada

Rapid Prototyping for AI-Augmented Learning with Lovable

Dino Osmanagić · Lovable Ambassador

Hands-on workshop focused on rapid prototyping and technical deployment for AI-augmented learning architectures. Sesión concluida con éxito.

Monday, Oct 12 19:00 CEST / 11:00 AM CST Online Session

Ver en Luma

Challenge Tracks

Tracks of Innovation

Choose the focus area that best aligns with your AI prototype's architecture.

Track 1

AI Systems for Reviewers

AI systems that empower educators and research reviewers to evaluate the depth of human cognition, shifting focus from grading final outputs to auditing reasoning, synthesis, and thought methodology.

Auditing & Evaluation Focus

Track 2

AI Systems to Stimulate Cognition

AI systems that empower learners and researchers by challenging thinking in real-time, preventing passive AI reliance by demanding reflection, synthesis, and deep reasoning during task execution.

Active Learner Engagement

Requirements & Protocol

Prototype Evaluation Framework

Accepted participants present a working prototype during showcase sessions covering five critical dimensions.

Target User

Students, educators, researchers, thesis review boards, or journal reviewers.

Cognitive Focus

Measures or stimulates deep reasoning, reflection, and source verification.

Architecture

LLMs, multi-agent frameworks, RAG pipelines, or reasoning engines.

Governance

PII data privacy, bias mitigation, and human-in-the-loop oversight.

Viability

Technical maturity, reproducibility, and readiness for academic deployment.

Formal User Interaction Protocol

As a distinctive feature of this challenge, accepted prototypes will participate in a formal user interaction evaluation process where judges and evaluators will directly interact with the systems, following a standardized protocol designed by Alexandr.ia AI Learning Systems.

Top-performing prototypes may receive access to a live sandbox environment hosted by Alexandr.ia AI Learning Systems to test, validate, and scale their solutions. Every participant receives a detailed summary report with aggregated evaluation metrics.

Convocatoria Concluida / Closed

Submission Requirements

La convocatoria oficial para entrega de prototipos cerró el 31 de octubre de 2026. Agradecemos profundamente a todos los equipos, investigadores e instituciones que enviaron sus propuestas técnicas y documentación de gobernanza.

1. Functional Prototype

A live, publicly accessible web URL showcasing a functional, working version of your application.

2. GitHub Codebase

Full source code repository containing end-to-end stack, architecture diagrams, and setup instructions.

3. Demo & Pitch Deck

A 5-minute video demonstrating system functionality (hosted on Google Drive, YouTube, or Loom) paired with a concise slide deck highlighting your solution.

4. Governance Document

A 3–5 page PDF detailing prompts, guardrails, human-in-the-loop controls, PII privacy, and bias mitigation.

Recepción de Prototipos Concluida

¡Muchas gracias a todos los participantes por sus extraordinarios proyectos!

Scoring Framework

Peer Review Criteria

Submissions undergo rigorous peer review weighted across five core dimensions.

Evaluation Criterion	Weight
Originality and Innovation	25%
Relevance and Pedagogical Impact	25%
AI & Ethical Governance	20%
Prototype and Technical Maturity	15%
Quality of Presentation and Documentation	15%

Recognition

Challenge Awards

Distinction and recognition awarded to top-performing research prototypes.

Confirmed Publication Award

Publication in Research in Computing Science (RCS)

Top-performing AI Learning Systems and outstanding research prototypes secure official academic publication inside the indexed journal Research in Computing Science (RCS - IPN).

IPN - Instituto Politécnico Nacional

Evaluación y Publicación en Proceso (RCS - IPN)

Track 1 Winner

Best Reviewer Tool

Track 2 Winner

Best Learning Companion

Ethics Distinction

Best AI Governance

Impact Distinction

Best Social Impact

Organization

Demo Showcase Chairs

Contact the showcase chairs for inquiries regarding prototype submissions and evaluation procedures.

Eugenio Salas Iturriaga

Demo Showcase Chair

eugenio@alexandriads.com LinkedIn Profile

Arturo Gomez Chavez, PhD

Demo Showcase Chair

arturo.gomez-chavez@explearn.io LinkedIn Profile

CHARAL 2026

¡Gracias a todos por participar en CHARAL 2026!

Elevating Human Cognition

Challenge Timeline

Keynote & Workshops

Keynote: The AI Augmented Learner Challenge

Rapid Prototyping for AI-Augmented Learning with Lovable

Workshop Presentation & Briefing

Tracks of Innovation

AI Systems for Reviewers

AI Systems to Stimulate Cognition

Prototype Evaluation Framework

Target User

Cognitive Focus

Architecture

Governance

Viability

Formal User Interaction Protocol

Submission Requirements

1. Functional Prototype

2. GitHub Codebase

3. Demo & Pitch Deck

4. Governance Document

Peer Review Criteria

Challenge Awards

Publication in Research in Computing Science (RCS)

Track 1 Winner

Track 2 Winner

Ethics Distinction

Impact Distinction

Demo Showcase Chairs

Eugenio Salas Iturriaga

Arturo Gomez Chavez, PhD

Official Sponsors & Partners