Alma Platafòrma Adaptativa de Formacion per Mina Maazi

Lo dissènh Alma Platafòrma Adaptativa de Formacion per Mina Maazi es un laureat autfo estimfo del prestigfo 2025 A' Design Award de Bronze dins la Categoria de Competfo Educacion.

BronzeEducacion· 2025

Alma Platafòrma Adaptativa de Formacion

per Mina Maazi

Client : Birmingham City University

Laureat del A' Design Award de Bronze dins la Categoria Educacion

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Lo Concèpte

A prepaus de Alma Platafòrma Adaptativa de Formacion

Alma es un assistent de gestion de l'aprendissatge propulsat per IA que melhora la formacion corporativa e l'adopcion numerica. Personaliza l'aprendissatge en identificant los estils individuals e en optimizant los oraris de formacion. A diferéncia dels metòdes tradicionals, Alma intègra lo mentorat entre pars, d'analisis pilotadas per IA e una planificacion adaptativa, assegurant una experiéncia d'integracion sens fisura e eficaça. En reduissent los còsts de formacion e en favorisant l'implicacion, Alma ajuda las organizacions a accelerar lo desvolopament de competéncias en melhorant la preparacion de la fòrça de trabalh.

La Reconoissença

A prepaus del A' Design Award de Bronze

Alma Platafòrma Adaptativa de Formacion a ganhat la distincion A' Design Award de Bronze, una reconeissença plan prestigiosa acordada a de designs excellents que se destrian per la creativitat, l'engenh e la finessa. Los ganhaires del Bronze son d'artefactes largament abils e sorprenentament creatius que provan la vasta experiéncia, l'imaginacion e l'engenhositat de lors designers. S'espèra que Alma Platafòrma Adaptativa de Formacion siá un objècte fòrça considerat, admirat e estimat, notablament professional e innovant. Aqueste design ganhaire de la distincion A' Design Award de Bronze integra las melhoras practicas de l'art, de la sciéncia, del design e de la tecnologia e es excellent per son atencion al detalh. Alma Platafòrma Adaptativa de Formacion satisfa esplendidament los besonhs, toca los desirs, encanta los sentiments e interèssa la curiositat.

Darrièr lo concèpte

Kit de premsa

Crèdits, membres de l'equipa e detalhs tecnics fornits pel designer.

Proprietats Unicas: 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.
Dimensions e Embalatge: 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 Produccion: 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.
Desaffo de Dissènh: 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.
Recèrca: 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.
Inspiracion: 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.
Durada del Projècte: 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.
Flux Operacional: 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.
Brevets: Copyrights belong to Mina Maazi, 2025.
Membres de l'Equipa: Mina Maazi
Crèdits d'Imatges: 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.