Alma Adaptivna platforma za obuku — аутор Mina Maazi

Дизајн Alma Adaptivna platforma za obuku аутора Mina Maazi је високо цењени добитник веома престижне награде 2025 Бронзана награда A' Design Award у категорији такмичења Дизајн образовања, наставних средстава и садржаја за обуку.

БронзанаОбразовање· 2025

Alma Adaptivna platforma za obuku

аутор: Mina Maazi

Клијент: Birmingham City University

Добитник награде Бронзана награда A' Design Award у категорији Образовање

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Боје

Дизајн

О дизајну Alma Adaptivna platforma za obuku

Alma je asistent za upravljanje učenjem zasnovan na veštačkoj inteligenciji koji unapređuje korporativnu obuku i digitalnu adaptaciju. Personalizuje učenje prepoznavanjem individualnih stilova učenja i optimizacijom rasporeda obuke. Za razliku od tradicionalnih metoda, Alma integriše mentorstvo među kolegama, uvide zasnovane na veštačkoj inteligenciji i adaptivno raspoređivanje, obezbeđujući besprekorno i efikasno iskustvo uvođenja u posao. Smanjenjem troškova obuke i podsticanjem angažovanja, Alma pomaže organizacijama da ubrzaju razvoj veština i poboljšaju spremnost radne snage.

Признање

О награди Бронзана награда A' Design Award

Alma Adaptivna platforma za obuku је добитник Бронзане награде A' Design Award, високо престижног признања које се додељује изванредним дизајнима који се одликују креативношћу, домишљатошћу и оштроумношћу. Добитници Бронзане награде у потпуности су вешти и упечатљиво креативни артефакти који потврђују велико искуство, машту и снаљажљивост својих дизајнера. Очекује се да Alma Adaptivna platforma za obuku буде високо цењен, дивљен и вољен предмет, запажено професионалан и иновативан. Овај дизајн награђен Бронзаном наградом A' Design Award уграђује најбоље праксе у уметности, науци, дизајну и технологији и одличан је по пажњи према детаљима. Alma Adaptivna platforma za obuku сјајно задовољава потребе, дотиче жеље, очарава осећања и привлачи радозналост.

Иза дизајна

Комплет за медије

Заслуге, чланови тима и технички детаљи које је обезбедио дизајнер.

Јединствене карактеристике: 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.
Димензије и паковање: 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.
Ознаке: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Технологија производње: 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.
Дизајнерски изазов: 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.
Истраживање: 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.
Инспирација: 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.
Трајање пројекта: 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.
Ток рада: 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.
Патенти: Copyrights belong to Mina Maazi, 2025.
Чланови тима: Mina Maazi
Заслуге за фотографије: 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.