Alma Piattaforma Adattativa di Furmazione da Mina Maazi

U designu Alma Piattaforma Adattativa di Furmazione da Mina Maazi hè un vincitore altamente stimatu di u prestigiosu premiu 2025 A' Design Award di Bronzu in a Categuria di Cumpetizione Educazione.

BronzuEducazione· 2025

Alma Piattaforma Adattativa di Furmazione

da Mina Maazi

Cliente: Birmingham City University

Vincitore di u premiu A' Design Award di Bronzu in a Categuria Educazione

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Vincitore di Premiu Verificatu

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U Cuncepimentu

À propositu di Alma Piattaforma Adattativa di Furmazione

Alma hè un assistente di gestione di l'apprendimentu propulsatu da l'IA chì migliora a furmazione aziendale è l'adozione digitale. Persunalizza l'apprendimentu identifichendu i stili individuali è ottimizzendu i prugrammi di furmazione. À u cuntrariu di i metudi tradiziunali, Alma integra u mentoratu tra pari, l'analisi guidate da l'IA, è a pianificazione adattativa, assicurendu una sperienza d'integrazione fluida è efficace. Riducendu i costi di furmazione è favurendu l'impegnu, Alma aiuta l'urganizazioni à accelerà u sviluppu di e cumpetenze migliurendu in u listessu tempu a preparazione di a forza di travagliu.

U Ricunnoscimentu

À propositu di u A' Design Award di Bronzu

Alma Piattaforma Adattativa di Furmazione hè un vincitore di u premiu A' Design Award di Bronzu, una ricunniscenza assai prestigiosa attribuita à i disegni eccellenti chì si distinguenu per a creatività, l'ingegnu è l'acutezza. I vincitori di Bronzu sò artefatti largamente abili è sorprendentemente creativi chì autenticanu a vasta sperienza, l'imaginazione è l'ingegnosità di i so disegnatori. Si aspetta chì Alma Piattaforma Adattativa di Furmazione sia un oggettu assai apprezzatu, ammiratu è caru, rimarchevulemente prufessiunale è innuvatore. Stu disegnu vincitore di u premiu A' Design Award di Bronzu incorpora e migliori pratiche di l'arte, di a scienza, di u disegnu è di a tecnulugia è hè eccellente per l'attinzione à i detaglii. Alma Piattaforma Adattativa di Furmazione suddisfa splendidamente i bisogni, tocca i disideri, incanta i sentimenti è chjama a curiusità.

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Pruprietà Uniche: 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.
Dimensioni è Imballaghju: 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.
Etichette: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Tecnulugia di Pruduzzione: 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.
Sfida di Designu: 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.
Ricerca: 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.
Ispirazione: 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.
Durata di u Prugettu: 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.
Flussu Operativu: 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.
Brevetti: Copyrights belong to Mina Maazi, 2025.
Membri di a Squadra: Mina Maazi
Crediti d'Imagine: 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.