Alma Platfòm Fòmasyon Adaptatif pa Mina Maazi

Dizayn Alma Platfòm Fòmasyon Adaptatif pa Mina Maazi se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2025 A' Design Award Bwonz nan Kategori Konpetisyon Edikasyon.

BwonzEdikasyon· 2025

Alma Platfòm Fòmasyon Adaptatif

pa Mina Maazi

Kliyan: Birmingham City University

Gayan A' Design Award Bwonz nan Kategori Edikasyon

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Gayan Pri Verifye

Verifye Estati Pri pou #169409

Vizite Sit la Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Alma Platfòm Fòmasyon Adaptatif

Alma se yon asistan jesyon aprantisaj ki fonksyone ak entèlijans atifisyèl (AI) ki amelyore fòmasyon kòporatif ak adopsyon dijital. Li pèsonalize aprantisaj lè l identifye estil endividyèl yo epi optimize orè fòmasyon an. Kontrèman ak metòd tradisyonèl yo, Alma entegre mantora ant kòlèg, analiz baze sou AI, ak pwogramasyon adaptatif, sa ki asire yon eksperyans entegrasyon san pwoblèm ak efikas. Lè l diminye depans fòmasyon epi ankouraje angajman, Alma ede òganizasyon yo akselere devlopman konpetans pandan l ap amelyore preparasyon men-dèv la.

Rekonesans lan

Konsènan A' Design Award Bwonz

Alma Platfòm Fòmasyon Adaptatif se yon ganyan A' Design Award Bwonz, yon rekonesans ki gen anpil prestij yo bay design ekselan ki make pa kreyativite, enjenyozite ak finès. Ganyan Bwonz yo se objè ki abil anpil e ki kreyatif nan fason ki frape, ki otantifye gwo eksperyans, imajinasyon ak debouyaj designer yo. Yo atann Alma Platfòm Fòmasyon Adaptatif pou se yon objè anpil moun estime, admire e renmen, ki pwofesyonèl e inovatè nan fason remakab. Design sa a ki ganyen A' Design Award Bwonz enkòpore pi bon pratik nan atizay, syans, design ak teknoloji, e li ekselan pou atansyon li bay detay. Alma Platfòm Fòmasyon Adaptatif satisfè bezwen yon fason espledid, li touche dezi, li chame santiman e li atire kiryozite.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: 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.
Dimansyon & Anbalaj: 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.
Etikèt: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Teknoloji Pwodiksyon: 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.
Defi Dizayn: 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.
Rechèch: 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.
Enspirasyon: 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.
Dire Pwojè: 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.
Fliks Operasyon: 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.
Patant: Copyrights belong to Mina Maazi, 2025.
Manm Ekip: Mina Maazi
Kredi Imaj: 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.