Alma Adaptīva apmācības platforma — Mina Maazi

Darbs Alma Adaptīva apmācības platforma, kura autors ir Mina Maazi, ir augsti novērtēts un ļoti prestižās 2025 Bronzas balva A' Design Award ieguvējs kategorijā Izglītības, mācību līdzekļu un apmācību satura dizains.

BronzasIzglītība· 2025

Alma Adaptīva apmācības platforma

Autors: Mina Maazi

Klients: Birmingham City University

Bronzas balva A' Design Award ieguvējs kategorijā Izglītība

24,831

Verificēts balvas ieguvējs

Verificēt balvas statusu dizainam #169409

Apmeklēt vietni Skatīt A' Design Award Preses relīze Balvas žetons

Krāsas

Dizains

Par Alma Adaptīva apmācības platforma

Alma ir ar mākslīgo intelektu darbināts mācību vadības asistents, kas uzlabo korporatīvās apmācības un digitālo risinājumu apguvi. Tā personalizē mācīšanos, identificējot individuālos mācīšanās stilus un optimizējot apmācību grafikus. Atšķirībā no tradicionālajām metodēm, Alma integrē savstarpējo mentoringu, ar mākslīgo intelektu nodrošinātus ieskatus un adaptīvu plānošanu, nodrošinot vienmērīgu un efektīvu adaptācijas procesu. Samazinot apmācību izmaksas un veicinot iesaisti, Alma palīdz organizācijām paātrināt prasmju attīstību un uzlabot darbaspēka gatavību.

Atzinība

Par Bronzas balva A' Design Award

Alma Adaptīva apmācības platforma ir Bronzas balvas A' Design Award ieguvējs, ļoti prestiža atzinība, ko piešķir izciliem dizainiem, kas izceļas ar radošumu, atjautību un viedumu. Bronzas ieguvēji ir pietiekami prasmīgi un pārsteidzoši radoši darbi, kas apliecina to dizaineru plašo pieredzi, iztēli un izdarību. Sagaidāms, ka Alma Adaptīva apmācības platforma būs augsti vērtēts, apbrīnots un cienīts priekšmets, ievērojami profesionāls un inovatīvs. Šis ar Bronzas balvu apbalvotais dizains iekļauj labāko praksi mākslā, zinātnē, dizainā un tehnoloģijās un izceļas ar uzmanību detaļām. Alma Adaptīva apmācības platforma lieliski apmierina vajadzības, skar vēlmes, valdzina jūtas un piesaista zinātkāri.

Aiz dizaina

Preses materiāli

Dizainera sniegtie autori, komandas dalībnieki un tehniskie dati.

Unikālās īpašības: 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.
Izmēri un iepakojums: 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.
Birkas: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Ražošanas tehnoloģija: 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.
Dizaina izaicinājums: 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.
Pētījums: 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.
Iedvesma: 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.
Projekta ilgums: 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.
Darbības plūsma: 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.
Patenti: Copyrights belong to Mina Maazi, 2025.
Komandas dalībnieki: Mina Maazi
Attēlu autori: 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.