Alma Adaptyvi Mokymų Platforma by Mina Maazi

Alma Adaptyvi Mokymų Platforma by Mina Maazi is a highly esteemed winner of the very prestigious 2025 Bronzinis apdovanojimas A' Design Award in Švietimo, mokymo priemonių ir mokomojo turinio dizainas Competition Category.

BronzinisŠvietimas· 2025

Alma Adaptyvi Mokymų Platforma

by Mina Maazi

Client: Birmingham City University

Bronzinis apdovanojimas A' Design Award Winner in Švietimas Category

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Colors

The Design

About Alma Adaptyvi Mokymų Platforma

Alma yra dirbtinio intelekto valdomas mokymosi valdymo asistentas, kuris pagerina įmonių mokymą ir skaitmeninį įsisavinimą. Jis personalizuoja mokymąsi, nustatydamas individualius stilius ir optimizuodamas mokymų tvarkaraščius. Skirtingai nei tradiciniai metodai, Alma integruoja kolegų mentorystę, dirbtinio intelekto įžvalgas ir adaptyvų planavimą, užtikrindamas sklandžią ir efektyvią adaptacijos patirtį. Mažindamas mokymų išlaidas ir skatindamas įsitraukimą, Alma padeda organizacijoms spartinti įgūdžių plėtrą ir gerinti darbuotojų parengtį.

The Recognition

About the Bronzinis apdovanojimas A' Design Award

Alma Adaptyvi Mokymų Platforma laimėjo Bronzinį apdovanojimą A' Design Award, labai prestižinį pripažinimą, skiriamą išskirtiniams dizainams, kuriuos žymi kūrybiškumas, išradingumas ir sumanumas. Bronzos laureatai yra pakankamai įgudę ir stulbinamai kūrybingi dirbiniai, patvirtinantys jų kūrėjų didelę patirtį, vaizduotę ir išteklių gausą. Tikimasi, kad Alma Adaptyvi Mokymų Platforma bus aukštai vertinamas, žavimas ir brangus daiktas, žymiai profesionalus ir novatoriškas. Šis Bronziniu apdovanojimu įvertintas dizainas įtraukia geriausias praktikas mene, moksle, dizaine ir technologijose ir yra puikus dėl dėmesio detalėms. Alma Adaptyvi Mokymų Platforma puikiai tenkina poreikius, paliečia troškimus, žavi jausmus ir traukia smalsumą.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.
Team Members: Mina Maazi
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.