Alma Adaptiv Utbildningsplattform av Mina Maazi

Designen Alma Adaptiv Utbildningsplattform av Mina Maazi är en högt ansedd vinnare av den mycket prestigefyllda 2025 A' Design Award i Brons i tävlingskategorin Utbildnings-, Läromedels- och Utbildningsinnehållsdesign.

BronsUtbildning· 2025

Alma Adaptiv Utbildningsplattform

av Mina Maazi

Klient: Birmingham City University

Vinnare av A' Design Award i Brons i kategorin Utbildning

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Färger

Designen

Om Alma Adaptiv Utbildningsplattform

Alma är en AI-driven lärhanteringsassistent som förbättrar företagsutbildning och digitalt införande. Den personaliserar lärandet genom att identifiera individuella inlärningsstilar och optimera utbildningsscheman. Till skillnad från traditionella metoder integrerar Alma peer-to-peer-mentorskap, AI-drivna insikter och adaptiv schemaläggning, vilket säkerställer en sömlös och effektiv onboarding-upplevelse. Genom att minska utbildningskostnader och främja engagemang hjälper Alma organisationer att påskynda kompetensutveckling samtidigt som den förbättrar arbetskraftens beredskap.

Erkännandet

Om A' Design Award i Brons

Alma Adaptiv Utbildningsplattform är vinnare av A' Design Award i Brons, ett högst prestigefyllt erkännande som tilldelas enastående designverk som utmärker sig genom kreativitet, uppfinningsrikedom och klokhet. Bronsvinnare är mycket skickliga och slående kreativa föremål som styrker formgivarnas stora erfarenhet, fantasi och påhittighet. Alma Adaptiv Utbildningsplattform förväntas vara ett högt skattat, beundrat och älskat föremål som är anmärkningsvärt professionellt och innovativt. Detta vinnande verk i A' Design Award i Brons införlivar bästa praxis inom konst, vetenskap, design och teknik och är utmärkt genom sin omsorg om detaljer. Alma Adaptiv Utbildningsplattform tillfredsställer fantastiskt behov, rör vid längtan, charmar känslor och väcker nyfikenhet.

Bakom designen

Presskit

Erkännanden, teammedlemmar och tekniska detaljer tillhandahållna av designern.

Unika 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.
Dimensioner & förpackning: 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.
Taggar: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Produktionsteknik: 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.
Designutmaning: 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.
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.
Projektlängd: 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.
Arbetsflöde: 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.
Patent: Copyrights belong to Mina Maazi, 2025.
Teammedlemmar: Mina Maazi
Bildkrediteringar: 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.