Designet Alma Adaptiv Opplæringsplattform av Mina Maazi er en høyt verdsatt vinner av den svært prestisjetunge 2025 A' Design Award i Bronse i konkurransekategorien Utdanning, læremidler og opplæringsinnholdsdesign.
BronseUtdanning· 2025
Alma Adaptiv Opplæringsplattform
av Mina Maazi
Klient: Birmingham City University
Vinner av A' Design Award i Bronse i kategorien Utdanning
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Om Alma Adaptiv Opplæringsplattform
Alma er en AI-drevet læringsassistent som forbedrer bedriftsopplæring og digital adopsjon. Den personaliserer læring ved å identifisere individuelle læringsstiler og optimalisere opplæringsplaner. I motsetning til tradisjonelle metoder integrerer Alma peer-to-peer-veiledning, AI-drevne innsikter og adaptiv planlegging, noe som sikrer en sømløs og effektiv onboarding-opplevelse. Ved å redusere opplæringskostnader og fremme engasjement hjelper Alma organisasjoner med å akselerere kompetanseutvikling samtidig som den forbedrer arbeidsstyrkens kompetanse.
Anerkjennelsen
Om A' Design Award i Bronse
Alma Adaptiv Opplæringsplattform er vinner av A' Design Award i Bronse, en høyt prestisjefylt anerkjennelse som tildeles enestående design som utmerker seg ved kreativitet, oppfinnsomhet og skarpsindighet. Bronsevinnere er rikt dyktige og påfallende kreative gjenstander som bekrefter designernes store erfaring, fantasi og ressurssterkhet. Alma Adaptiv Opplæringsplattform forventes å være en høyt ansett, beundret og verdsatt gjenstand som er bemerkelsesverdig profesjonell og nyskapende. Dette designet, som har vunnet A' Design Award i Bronse, rommer beste praksis innen kunst, vitenskap, design og teknologi og utmerker seg ved sin omtanke for detaljer. Alma Adaptiv Opplæringsplattform tilfredsstiller behov på en strålende måte, berører ønsker, sjarmerer følelser og vekker nysgjerrighet.
Bak designet
Pressepakke
Krediteringer, teammedlemmer og tekniske detaljer levert av designeren.
- Unike egenskaper
- 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.
- Dimensjoner og emballasje
- 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.
- Stikkord
- Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
- Produksjonsteknologi
- 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.
- Designutfordring
- 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.
- Forskning
- 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.
- Inspirasjon
- 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.
- Prosjektvarighet
- 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.
- Driftsflyt
- 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.
- Patenter
- Copyrights belong to Mina Maazi, 2025.
- Teammedlemmer
- Mina Maazi
- Bildekreditering
- 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.
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