Alma Plataforma de Formación Adaptativa de Mina Maazi

O deseño Alma Plataforma de Formación Adaptativa de Mina Maazi é un estimado gañador do moi prestixioso 2025 A' Design Award de Bronce na Categoría de Competición Deseño de Educación, Material Didáctico e Contido Formativo.

BronceEducación· 2025

Alma Plataforma de Formación Adaptativa

de Mina Maazi

Cliente: Birmingham City University

Gañador do A' Design Award de Bronce na Categoría Educación

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Cores

O Deseño

Sobre Alma Plataforma de Formación Adaptativa

Alma é un asistente de xestión da aprendizaxe impulsado por IA que mellora a formación corporativa e a adopción dixital. Personaliza a aprendizaxe identificando estilos individuais e optimizando os horarios de formación. A diferenza dos métodos tradicionais, Alma integra a mentoría entre pares, perspectivas baseadas en IA e programación adaptativa, garantindo unha experiencia de incorporación fluída e eficiente. Ao reducir os custos de formación e fomentar o compromiso, Alma axuda ás organizacións a acelerar o desenvolvemento de habilidades mentres mellora a preparación da forza laboral.

O Recoñecemento

Sobre o A' Design Award de Bronce

Alma Plataforma de Formación Adaptativa gañou o A' Design Award de Bronce, un recoñecemento altamente prestixioso outorgado a deseños sobresaíntes que se distinguen pola creatividade, o enxeño e a sagacidade. Os gañadores Bronce son artefactos amplamente hábiles e sorprendentemente creativos que autentican a vasta experiencia, imaxinación e enxeño dos seus deseñadores. Espérase que Alma Plataforma de Formación Adaptativa sexa un obxecto moi apreciado, admirado e querido, notablemente profesional e innovador. Este deseño gañador do A' Design Award de Bronce incorpora as mellores prácticas da arte, a ciencia, o deseño e a tecnoloxía, e é excelente pola súa atención ao detalle. Alma Plataforma de Formación Adaptativa satisfai espléndidamente as necesidades, toca os desexos, encanta os sentimentos e atrae a curiosidade.

Detrás do deseño

Kit de prensa

Créditos, membros do equipo e detalles técnicos proporcionados polo deseñador.

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.
Dimensións e Embalaxe: 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
Tecnoloxía de Produción: 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.
Reto de Deseño: 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 do Proxecto: 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.
Fluxo de Operacións: 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.
Membros do Equipo: Mina Maazi
Créditos das Imaxes: 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.