Alma Adaptief Trainingsplatform door Mina Maazi

Het ontwerp Alma Adaptief Trainingsplatform door Mina Maazi is een hoog aangeschreven winnaar van de zeer prestigieuze 2025 A' Design Award in Brons in de competitiecategorie Onderwijs, Leermiddelen en Trainingsinhoud Ontwerp.

BronsOnderwijs· 2025

Alma Adaptief Trainingsplatform

door Mina Maazi

Opdrachtgever: Birmingham City University

Winnaar van de A' Design Award in Brons in de categorie Onderwijs

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Het Ontwerp

Over Alma Adaptief Trainingsplatform

Alma is een AI-aangedreven leerbeheersassistent die bedrijfstraining en digitale adoptie verbetert. Het personaliseert het leren door individuele leerstijlen te identificeren en trainingsschema's te optimaliseren. In tegenstelling tot traditionele methoden integreert Alma peer-to-peer begeleiding, AI-gedreven inzichten en adaptieve planning, wat zorgt voor een naadloze en efficiënte onboardingervaring. Door trainingskosten te verlagen en betrokkenheid te stimuleren, helpt Alma organisaties vaardigheidsontwikkeling te versnellen en de inzetbaarheid van medewerkers te verbeteren.

De Erkenning

Over de A' Design Award in Brons

Alma Adaptief Trainingsplatform is winnaar van de A' Design Award in Brons, een hoogst prestigieuze erkenning die wordt toegekend aan uitstekende ontwerpen die zich onderscheiden door creativiteit, vindingrijkheid en scherpzinnigheid. Winnaars in Brons zijn ruimschoots vaardige en opvallend creatieve artefacten die de grote ervaring, verbeelding en het vernuft van hun ontwerpers bevestigen. Alma Adaptief Trainingsplatform wordt verwacht een hooggewaardeerd, bewonderd en gekoesterd object te zijn dat opmerkelijk professioneel en innovatief is. Dit ontwerp dat de A' Design Award in Brons heeft gewonnen, verwerkt de beste praktijken in kunst, wetenschap, ontwerp en technologie en is uitstekend door zijn aandacht voor detail. Alma Adaptief Trainingsplatform bevredigt schitterend behoeften, raakt verlangens, charmeert gevoelens en spreekt de nieuwsgierigheid aan.

Achter het Ontwerp

Perskit

Credits, teamleden en technische details verstrekt door de ontwerper.

Unieke Eigenschappen: 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.
Afmetingen & Verpakking: 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.
Tags: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Productietechnologie: 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.
Ontwerpuitdaging: 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.
Onderzoek: 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.
Inspiratie: 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.
Projectduur: 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.
Werkproces: 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.
Patenten: Copyrights belong to Mina Maazi, 2025.
Teamleden: Mina Maazi
Beeldcredits: 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.