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Alma Адаптыўная навучальная платформа by Mina Maazi
Alma Адаптыўная навучальная платформа by Mina Maazi
Alma Адаптыўная навучальная платформа by Mina Maazi
Alma Адаптыўная навучальная платформа by Mina Maazi
Alma Адаптыўная навучальная платформа by Mina Maazi

Бронза Адукацыя · 2025

Alma Адаптыўная навучальная платформа

by Mina Maazi

  • Бронзавая прэмія A' Design Award 2025 in Адукацыя
  • CLIENT: Birmingham City University
  • Estimated Number of Design Views: 24,172
  • Verification code F1D4926B0C · Verify this award
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About Alma Адаптыўная навучальная платформа

Alma - гэта асістэнт кіравання навучаннем на аснове штучнага інтэлекту, які ўдасканальвае карпаратыўнае навучанне і лічбавую адаптацыю. Ён персаналізуе навучанне шляхам вызначэння індывідуальных стыляў і аптымізацыі графікаў навучання. У адрозненне ад традыцыйных метадаў, Alma інтэгруе ўзаемнае настаўніцтва, аналітыку на аснове ШІ і адаптыўнае планаванне, забяспечваючы бесперашкодны і эфектыўны працэс адаптацыі. Зніжаючы выдаткі на навучанне і стымулюючы ўзаемадзеянне, Alma дапамагае арганізацыям паскорыць развіццё навыкаў пры адначасовым павышэнні гатоўнасці работнікаў.

About the Бронзавая прэмія A' Design Award

Alma Адаптыўная навучальная платформа — пераможца Бронзавай прэміі A' Design Award, высокапрэстыжнага прызнання, якое прысуджаецца выдатным дызайнам, што вылучаюцца творчасцю, вынаходлівасцю і праніклівасцю. Бронзавыя пераможцы — гэта ўмелыя і ўражліва творчыя артэфакты, якія пацвярджаюць вялікі вопыт, уяўленне і знаходлівасць сваіх дызайнераў. Чакаецца, што Alma Адаптыўная навучальная платформа — гэта высока цэнены, захапляльны і любімы прадмет, надзвычай прафесійны і інавацыйны. Гэты дызайн, што атрымаў Бронзавую прэмію A' Design Award, уключае лепшыя практыкі ў мастацтве, навуцы, дызайне і тэхналогіях і выдатны ўвагай да дэталей. Alma Адаптыўная навучальная платформа цудоўна задавальняе патрэбы, кранае жаданні, зачароўвае пачуцці і ўзбуджае цікаўнасць.

Press Kit

Unique Properties
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.
Dimensions & Packaging
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.
Tags
Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Production Technology
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.
Design Challenge
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.
Research
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.
Project Duration
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.
Operation Flow
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.
Patents
Copyrights belong to Mina Maazi, 2025.
Image Credits
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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