Alma Oanpasbere Trainingplatfoarm troch Mina Maazi

Alma Oanpasbere Trainingplatfoarm troch Mina Maazi is in heech wurdearre winner fan de tige prestizjeuze 2025 A' Design Award yn Brûns yn de kompetysje-kategory Ûnderwiis, Learmiddelen en Trainingsynhâld Ûntwerp.

BrûnsÛnderwiis· 2025

Alma Oanpasbere Trainingplatfoarm

troch Mina Maazi

Klant: Birmingham City University

A' Design Award yn Brûns Winner yn de kategory Ûnderwiis

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Ferifiearre Priiswinner

Ferifiearje Prisstatus foar #169409

Besykje Side Besjoch by A' Design Award Parseberjocht Priisbadge

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It Untwerp

Oer Alma Oanpasbere Trainingplatfoarm

Alma is in AI-oandreaune assistint foar learmanagement dy't bedriuwstraining en digitale adopsje ferbetteret. It personalisearret it learen troch yndividuele learstilen te identifisearjen en trainingsroosters te optimalisearjen. Yn tsjinstelling ta tradisjonele metoaden yntegrearret Alma peer-to-peer mentorskip, AI-oandreaune ynsjoggen en oanpasbere planning, wat soarget foar in soepele en effisjinte ynwurkûnderfining. Troch trainingskosten te ferminderjen en belutsenheid te befoarderjen helpt Alma organisaasjes by it fersnellen fan feardichheidsontwikkeling, wylst de paraatheid fan it personiel ferbettere wurdt.

De Erkenning

Oer de A' Design Award yn Brûns

Alma Oanpasbere Trainingplatfoarm is in winner fan de A' Design Award yn Brûns, in heech prestisjeuze erkenning foar treflike ûntwerpen dy't har ûnderskiede troch kreativiteit, fernuft en tûkens. Brûnswinners binne tige feardige en opfallend kreative artefakten dy't de grutte ûnderfining, ferbylding en betochtsumens fan har ûntwerpers befêstigje. Fan Alma Oanpasbere Trainingplatfoarm wurdt ferwachte dat it in tige heech achte, bewûndere en dierber objekt is dat opmerklik profesjoneel en ynnovatyf is. Dit winnende ûntwerp fan de A' Design Award yn Brûns yntegrearret de bêste praktiken yn keunst, wittenskip, ûntwerp en technology en is treflik om syn omtinken foar detail. Alma Oanpasbere Trainingplatfoarm foldocht behoeften prachtich, reitsjet winsken, betsjoeveret gefoelens en sprekt nijsgjirrigens oan.

Efter it Untwerp

Parsepakket

Credits, teamleden en technyske details levere troch de ûntwerper.

Unike Eigenskippen: 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.
Ofmjittingen & Ferpakking: 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.
Labels: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Produksjetechnology: 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.
Untwerpútdaging: 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.
Undersyk: 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.
Ynspiraasje: 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.
Projektdoer: 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.
Operaasjestreamferrin: 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.
Patinten: Copyrights belong to Mina Maazi, 2025.
Teamleden: Mina Maazi
Ofbyldingskrediten: 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.