Alma Aðlögunarhæfur þjálfunarvettvangur by Mina Maazi is a highly esteemed winner of the very prestigious 2025 A' Design Award í bronsi in Hönnun fræðslu, kennsluefnis og þjálfunarinnihalds Competition Category.
BronsMenntun· 2025
Alma Aðlögunarhæfur þjálfunarvettvangur
by Mina Maazi
Client: Birmingham City University
A' Design Award í bronsi Winner in Menntun Category
Verified Award Winner
Verify Award Status for #169409The Design
About Alma Aðlögunarhæfur þjálfunarvettvangur
Alma er gervigreindardrifinn aðstoðarmaður við námsstjórnun sem eflir fyrirtækjaþjálfun og stafræna innleiðing. Hún sérsníður nám með því að greina einstaklingsbundna námsstíla og fínstilla þjálfunaráætlanir. Ólíkt hefðbundnum aðferðum samþættir Alma jafningjaleiðsögn, gervigreindardrifna innsýn og aðlögunarhæfa áætlanagerð sem tryggir hnökralaust og skilvirkt innleiðingarferli. Með því að draga úr þjálfunarkostnaði og efla þátttöku hjálpar Alma stofnunum að flýta fyrir færniþróun um leið og hæfni vinnuaflsins eykst.
The Recognition
About the A' Design Award í bronsi
Alma Aðlögunarhæfur þjálfunarvettvangur vann A' Design Award í bronsi, mjög virta viðurkenningu sem veitt er framúrskarandi hönnunarverkum sem einkennast af sköpunargáfu, hugvitssemi og skarpskyggni. Sigurvegarar í bronsi eru ríkulega leiknir og áberandi skapandi gripir sem staðfesta víðtæka reynslu, ímyndunarafl og útsjónarsemi hönnuða sinna. Þess er vænst að Alma Aðlögunarhæfur þjálfunarvettvangur sé mjög metinn, dáður og elskaður hlutur sem er einstaklega fagmannlegur og nýstárlegur. Þetta hönnunarverk sem vann A' Design Award í bronsi felur í sér bestu starfsvenjur í list, vísindum, hönnun og tækni og er framúrskarandi fyrir athygli sína á smáatriðum. Alma Aðlögunarhæfur þjálfunarvettvangur fullnægir þörfum á dásamlegan hátt, snertir langanir, heillar tilfinningar og vekur forvitni.
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.
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