Alma Prilagodljiva platforma za usposabljanje – avtor Mina Maazi

Delo Alma Prilagodljiva platforma za usposabljanje avtorja Mina Maazi je izjemno cenjeni dobitnik prestižne nagrade 2025 Bronasta nagrada A' Design Award v tekmovalni kategoriji Oblikovanje izobraževanja, učnih pripomočkov in vsebin za usposabljanje.

BronastaIzobraževanje· 2025

Alma Prilagodljiva platforma za usposabljanje

avtor/ica: Mina Maazi

Naročnik: Birmingham City University

Dobitnik nagrade Bronasta nagrada A' Design Award v kategoriji Izobraževanje

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Preverite status nagrade za #169409

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Dizajn

O dizajnu Alma Prilagodljiva platforma za usposabljanje

Alma je pomočnik za upravljanje učenja, podprt z umetno inteligenco, ki izboljšuje poslovno usposabljanje in digitalno adopcijo. Učenje personalizira z identificiranjem posameznih učnih stilov in optimizacijo urnikov usposabljanja. Za razliko od tradicionalnih metod Alma integrira mentorstvo med vrstniki, vpoglede, podprte z umetno inteligenco, in prilagodljivo razporejanje, kar zagotavlja nemoteno in učinkovito izkušnjo uvajanja. Z zmanjševanjem stroškov usposabljanja in spodbujanjem vključenosti Alma organizacijam pomaga pospešiti razvoj veščin in izboljšati pripravljenost delovne sile.

Priznanje

O nagradi Bronasta nagrada A' Design Award

Alma Prilagodljiva platforma za usposabljanje je prejemnik Bronaste nagrade A' Design Award, zelo prestižnega priznanja, ki se podeljuje izjemnim oblikovanjem, ki se odlikujejo po ustvarjalnosti, iznajdljivosti in bistrosti. Prejemniki Bronaste nagrade so v celoti spretni in presenetljivo ustvarjalni artefakti, ki potrjujejo bogate izkušnje, domišljijo in zvitost svojih oblikovalcev. Od Alma Prilagodljiva platforma za usposabljanje se pričakuje, da bo visoko cenjen, občudovan in ljubljen predmet, opazno profesionalen in inovativen. To oblikovanje, nagrajeno z Bronasto nagrado A' Design Award, vključuje najboljše prakse v umetnosti, znanosti, oblikovanju in tehnologiji ter je odlično po pozornosti do podrobnosti. Alma Prilagodljiva platforma za usposabljanje sijajno zadovoljuje potrebe, se dotika želja, očara čustva in vzbuja radovednost.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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 in embalaža: 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
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Potek delovanja: 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.
Člani ekipe: Mina Maazi
Zasluge za slike: 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.