Alma Plataforma de Treinamento Adaptativo por Mina Maazi

O design Alma Plataforma de Treinamento Adaptativo por Mina Maazi é um vencedor altamente estimado do prestigioso 2025 A' Design Award de Bronze na Categoria de Competição Design de Educação, Auxiliares de Ensino e Conteúdo de Formação.

BronzeEducação· 2025

Alma Plataforma de Treinamento Adaptativo

por Mina Maazi

Cliente: Birmingham City University

Vencedor do A' Design Award de Bronze na Categoria Educação

24,831

Vencedor de Prémio Verificado

Verificar Estado do Prémio para #169409

Visitar Site Ver no A' Design Award Comunicado de Imprensa Selo do Prémio

Cores

O Design

Sobre Alma Plataforma de Treinamento Adaptativo

Alma é um assistente de gestão de aprendizagem impulsionado por IA que aprimora o treinamento corporativo e a adoção digital. Personaliza a aprendizagem identificando estilos individuais e otimizando cronogramas de treinamento. Diferente dos métodos tradicionais, Alma integra mentoria entre pares, insights impulsionados por IA e agendamento adaptativo, garantindo uma experiência de integração perfeita e eficiente. Ao reduzir custos de treinamento e promover engajamento, Alma ajuda organizações a acelerar o desenvolvimento de habilidades enquanto melhora a prontidão da força de trabalho.

O Reconhecimento

Sobre o A' Design Award de Bronze

Alma Plataforma de Treinamento Adaptativo conquistou o A' Design Award de Bronze, um reconhecimento altamente prestigiado atribuído a designs notáveis que se distinguem pela criatividade, engenho e perspicácia. Os vencedores do Bronze são artefactos amplamente habilidosos e surpreendentemente criativos que comprovam a vasta experiência, imaginação e capacidade de iniciativa dos seus designers. Espera-se que Alma Plataforma de Treinamento Adaptativo seja um objeto muito considerado, admirado e estimado, notavelmente profissional e inovador. Este design vencedor do A' Design Award de Bronze incorpora as melhores práticas em arte, ciência, design e tecnologia e é excelente pela sua atenção ao detalhe. Alma Plataforma de Treinamento Adaptativo satisfaz esplendidamente necessidades, toca desejos, encanta sentimentos e desperta curiosidade.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades 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.
Dimensões e Embalagem: 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
Tecnologia de Produção: 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.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: 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 Operação: 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 da Equipa: Mina Maazi
Créditos de Imagem: 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.