Alma Adaptive Trainingsplattform von Mina Maazi

Das Design Alma Adaptive Trainingsplattform von Mina Maazi ist ein hoch angesehener Gewinner des sehr prestigeträchtigen 2025 A' Design Award in Bronze in der Wettbewerbskategorie Bildungsdesign.

BronzeBildung· 2025

Alma Adaptive Trainingsplattform

von Mina Maazi

Auftraggeber: Birmingham City University

Gewinner des A' Design Award in Bronze in der Kategorie Bildung

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Das Design

Über Alma Adaptive Trainingsplattform

Alma ist ein KI-gestützter Lernmanagement-Assistent, der Unternehmensschulungen und digitale Adoption verbessert. Er personalisiert das Lernen durch die Identifizierung individueller Lernstile und die Optimierung von Schulungsplänen. Im Gegensatz zu traditionellen Methoden integriert Alma Peer-to-Peer-Mentoring, KI-gestützte Erkenntnisse und adaptive Terminplanung und gewährleistet so eine nahtlose und effiziente Onboarding-Erfahrung. Durch die Reduzierung von Schulungskosten und die Förderung des Engagements hilft Alma Unternehmen, die Kompetenzentwicklung zu beschleunigen und gleichzeitig die Einsatzbereitschaft der Belegschaft zu verbessern.

Die Auszeichnung

Über den A' Design Award in Bronze

Alma Adaptive Trainingsplattform ist Gewinner des A' Design Award in Bronze, einer hochprestigeträchtigen Anerkennung für herausragende Designs, die sich durch Kreativität, Einfallsreichtum und Scharfsinn auszeichnen. Bronze-Gewinner sind reichlich geschickte und auffallend kreative Artefakte, die die große Erfahrung, Fantasie und Findigkeit ihrer Designer belegen. Von Alma Adaptive Trainingsplattform wird erwartet, dass es ein hochgeschätztes, bewundertes und geliebtes Objekt ist, das bemerkenswert professionell und innovativ ist. Dieses mit dem A' Design Award in Bronze prämierte Design verkörpert bewährte Verfahren in Kunst, Wissenschaft, Design und Technologie und ist hervorragend in seiner Liebe zum Detail. Alma Adaptive Trainingsplattform befriedigt Bedürfnisse auf großartige Weise, berührt Wünsche, bezaubert Gefühle und spricht die Neugier an.

Hinter dem Design

Pressemappe

Danksagungen, Teammitglieder und technische Details, bereitgestellt vom Designer.

Einzigartige Eigenschaften: 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.
Abmessungen & Verpackung: 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.
Schlagwörter: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Produktionstechnologie: 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.
Designherausforderung: 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.
Forschung: 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.
Projektdauer: 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.
Betriebsablauf: 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.
Patente: Copyrights belong to Mina Maazi, 2025.
Teammitglieder: Mina Maazi
Bildnachweise: 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.