Alma Plataforma de Formación Adaptativa de Mina Maazi

El diseño Alma Plataforma de Formación Adaptativa de Mina Maazi es un ganador altamente estimado del prestigioso 2025 A' Design Award de Bronce en la categoría de competición Diseño Educativo.

BronceEducación· 2025

Alma Plataforma de Formación Adaptativa

de Mina Maazi

Cliente: Birmingham City University

Ganador del A' Design Award de Bronce en la Categoría Educación

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Colores

El Diseño

Acerca de Alma Plataforma de Formación Adaptativa

Alma es un asistente de gestión del aprendizaje impulsado por IA que potencia la capacitación corporativa y la adopción digital. Personaliza el aprendizaje identificando estilos de aprendizaje individuales y optimizando los cronogramas de capacitación. A diferencia de los métodos tradicionales, Alma integra mentoría entre pares, análisis basados en IA y programación adaptativa, garantizando una experiencia de incorporación fluida y eficiente. Al reducir los costos de capacitación y fomentar la participación, Alma ayuda a las organizaciones a acelerar el desarrollo de habilidades mientras mejora la preparación de la fuerza laboral.

El Reconocimiento

Acerca del A' Design Award de Bronce

Alma Plataforma de Formación Adaptativa ha ganado el A' Design Award de Bronce, un reconocimiento sumamente prestigioso concedido a diseños sobresalientes que se distinguen por su creatividad, ingenio y astucia. Los ganadores de Bronce son artefactos ampliamente hábiles y sorprendentemente creativos que acreditan la vasta experiencia, imaginación e ingeniosidad de sus diseñadores. Se espera que Alma Plataforma de Formación Adaptativa sea un objeto muy apreciado, admirado y querido, notablemente profesional e innovador. Este diseño ganador del A' Design Award de Bronce incorpora las mejores prácticas del arte, la ciencia, el diseño y la tecnología, y es excelente por su atención al detalle. Alma Plataforma de Formación Adaptativa satisface espléndidamente las necesidades, toca los deseos, encanta los sentimientos y atrae la curiosidad.

Detrás del Diseño

Kit de Prensa

Créditos, miembros del equipo y detalles técnicos proporcionados por el diseñador.

Propiedades Únicas: Alma is an AI-powered learning assistant that personalizes corporate training by identifying learning styles and optimizing scheduling. Unlike traditional platforms, it integrates peer-to-peer learning, mentorship, and smart scheduling to reduce onboarding costs. AI-driven insights help users access relevant content, connect with peers, and enhance digital adoption while ensuring a seamless, human-centered learning experience.
Dimensiones y Embalaje: Alma is a cloud-based AI-driven learning platform designed for adaptive training. It integrates with Google Calendar and Outlook APIs for smart scheduling. The platform was prototyped in Figma and refined through iterative user testing. It supports responsive design, ensuring accessibility across desktop and mobile devices. End-to-end encryption safeguards user data, while scalable architecture allows seamless company-wide deployment.
Etiquetas: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Tecnología de Producción: Alma was developed using AI-driven learning models and machine learning algorithms to personalize training experiences. It integrates with digital calendars for adaptive scheduling and suggests peer interactions based on shared learning topics. The Design Thinking and User-Centered Design methodologies guided the UX process. Figma was used for prototyping, while continuous user testing and feedback loops refined the system for optimal usability.
Desafío de Diseño: The biggest challenge was integrating AI-driven adaptive learning while maintaining a human-centered approach. Developing accurate learning style detection algorithms required extensive research. We conducted both qualitative and quantitative research, including user interviews, surveys, and usability testing, to ensure an effective and engaging user experience. Additionally, overcoming resistance to digital adoption was critical. Inspired by Google and Amazon, we leveraged Peer-to-Peer Learning and Adaptive Scheduling to create a validated, user-centric platform that fosters digital readiness.
Investigación: This research employed User-Centered Design and Design Thinking methodologies to enhance digital literacy and onboarding. Surveys and user interviews were conducted with employees struggling with traditional training. Insights from Google and Amazon case studies highlighted Peer-to-Peer Learning and Adaptive Scheduling as key solutions. Findings shaped Alma, making onboarding more efficient, cost-effective, and engaging in corporate environments.
Inspiración: Alma was inspired by the need to improve digital adoption and corporate learning. Research showed that traditional training lacks engagement and human interaction, slowing digital readiness. By integrating peer-to-peer learning, mentorship, and adaptive AI-driven scheduling, Alma creates a seamless and practical learning experience, making onboarding more effective and reducing resistance to change.
Duración del Proyecto: The project began in October 2023 in Birmingham, UK, as part of the MA Design Management program at Birmingham City University. It was completed in November 2023 and received the Best Idea Award at the People-Led Digitalisation event, organized in collaboration with the University of Bath. The project was developed through extensive research and user-centered design methodologies to enhance corporate learning experiences.
Flujo de Operación: Alma streamlines learning by analyzing individual learning styles and suggesting tailored courses, mentors, and training paths. It seamlessly syncs with calendars, offering AI-powered scheduling for optimal learning sessions. Users can book mentors, track progress, and receive automated reminders. Alma fosters peer-to-peer learning, recommending colleagues with similar interests, ensuring an engaging, efficient, and interactive learning experience.
Patentes: Copyrights belong to Mina Maazi, 2025.
Miembros del Equipo: Mina Maazi
Créditos de Imagen: Image #1: Designer Mina Maazi, ALMA UI Design, 2024.
Image #2: Designer Mina Maazi, Learning Style Detection Flow, 2024.
Image #3: Designer Mina Maazi, Adaptive Scheduling Interaction, 2024.
Video Credits: Designer Mina Maazi, ALMA User Flow Prototype, 2024.
Image #4: Illustrator John Doe, Icons from Freepik, 2024.