Alma Adaptivna platforma za obuku od Mina Maazi

Dizajn Alma Adaptivna platforma za obuku od dizajnera Mina Maazi je visoko cijenjeni dobitnik prestižne nagrade 2025 Brončana nagrada A' Design Award u kategoriji Dizajn Obrazovanja, Nastavnih Pomagala i Sadržaja za Obuku.

BronzaObrazovanje· 2025

Alma Adaptivna platforma za obuku

autor Mina Maazi

Klijent: Birmingham City University

Dobitnik nagrade Brončana nagrada A' Design Award u kategoriji Obrazovanje

24,172

Verificirani dobitnik nagrade

Verificirajte status nagrade za #169409

Posjetite stranicu Pogledajte na A' Design Award Saopštenje za medije Značka nagrade

Boje

Dizajn

O dizajnu Alma Adaptivna platforma za obuku

Alma je asistent za upravljanje učenjem zasnovan na umjetnoj inteligenciji koji unapređuje korporativnu obuku i digitalnu adopciju. Personalizuje učenje prepoznavanjem individualnih stilova učenja i optimizacijom rasporeda obuke. Za razliku od tradicionalnih metoda, Alma integriše mentorstvo među kolegama, uvide zasnovane na AI i prilagodljivo raspoređivanje, osiguravajući besprijekorno i efikasno iskustvo uvođenja. Smanjenjem troškova obuke i podsticanjem angažmana, Alma pomaže organizacijama da ubrzaju razvoj vještina i poboljšaju spremnost radne snage.

Priznanje

O nagradi Brončana nagrada A' Design Award

Alma Adaptivna platforma za obuku je pobjednik Brončane nagrade A' Design Award, visoko prestižnog priznanja koje se dodjeljuje izvanrednim dizajnima što se odlikuju kreativnošću, domišljatošću i oštroumnošću. Brončani pobjednici izdašno su vješti i upečatljivo kreativni artefakti koji potvrđuju golemo iskustvo, maštu i snalažljivost svojih dizajnera. Očekuje se da Alma Adaptivna platforma za obuku bude visoko cijenjen, voljen i njegovan predmet koji je izuzetno profesionalan i inovativan. Ovaj dizajn koji je osvojio Brončanu nagradu A' Design Award uključuje najbolje prakse u umjetnosti, nauci, dizajnu i tehnologiji i izvrstan je zbog pažnje posvećene detaljima. Alma Adaptivna platforma za obuku sjajno zadovoljava potrebe, dotiče želje, očarava osjećaje i privlači znatiželju.

Iza dizajna

Press komplet

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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.
Dimenzije i pakovanje: 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.
Oznake: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Tehnologija proizvodnje: 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.
Dizajnerski izazov: 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.
Istraživanje: 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.
Inspiracija: 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.
Trajanje projekta: 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.
Tok rada: 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.
Članovi tima: Mina Maazi
Autorstvo slika: 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.