Alma Plateforme de Formation Adaptative par Mina Maazi

Le design Alma Plateforme de Formation Adaptative par Mina Maazi est un lauréat très estimé du prestigieux 2025 A' Design Award de Bronze dans la catégorie Éducation.

BronzeÉducation· 2025

Alma Plateforme de Formation Adaptative

par Mina Maazi

Client : Birmingham City University

Lauréat du A' Design Award de Bronze dans la catégorie Éducation

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Couleurs

Le Design

À propos de Alma Plateforme de Formation Adaptative

Alma est un assistant de gestion de l'apprentissage alimenté par l'IA qui optimise la formation en entreprise et l'adoption numérique. Il personnalise l'apprentissage en identifiant les styles individuels et en optimisant les calendriers de formation. Contrairement aux méthodes traditionnelles, Alma intègre le mentorat entre pairs, des analyses pilotées par l'IA et une planification adaptative, garantissant une expérience d'intégration fluide et efficace. En réduisant les coûts de formation et en favorisant l'engagement, Alma aide les organisations à accélérer le développement des compétences tout en améliorant la préparation de la main-d'œuvre.

La Reconnaissance

À propos du A' Design Award de Bronze

Alma Plateforme de Formation Adaptative est lauréat de l'A' Design Award de Bronze, une reconnaissance hautement prestigieuse décernée à des designs remarquables qui se distinguent par leur créativité, leur ingéniosité et leur sagacité. Les lauréats Bronze sont des artefacts amplement habiles et d'une créativité frappante, qui authentifient la vaste expérience, l'imagination et l'ingéniosité de leurs concepteurs. Alma Plateforme de Formation Adaptative est censé être un objet très estimé, admiré et chéri, remarquablement professionnel et innovant. Ce design lauréat de l'A' Design Award de Bronze intègre les meilleures pratiques de l'art, de la science, du design et de la technologie, et est excellent par son souci du détail. Alma Plateforme de Formation Adaptative satisfait admirablement les besoins, touche les désirs, charme les sentiments et attire la curiosité.

Les coulisses du design

Dossier de presse

Crédits, membres de l'équipe et détails techniques fournis par le designer.

Propriétés Uniques: 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 & Emballage: 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.
Mots-Clés: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Technologie de Production: 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.
Défi de Conception: 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.
Recherche: 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.
Inspiration: 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.
Durée du Projet: 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 Opérationnel: 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'Équipe: Mina Maazi
Crédits Images: 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.