Alma Platfform Hyfforddi Addasol gan Mina Maazi

Mae Alma Platfform Hyfforddi Addasol gan Mina Maazi yn enillydd uchel ei barch o'r 2025 Gwobr Efydd A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Addysg.

EfyddAddysg· 2025

Alma Platfform Hyfforddi Addasol

gan Mina Maazi

Cleient: Birmingham City University

Enillydd Gwobr Efydd A' Design Award yn y Categori Addysg

24,831

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #169409

Ymweld â'r Wefan Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Alma Platfform Hyfforddi Addasol

Mae Alma yn gynorthwyydd rheoli dysgu wedi'i bweru gan DD sy'n gwella hyfforddiant corfforaethol a mabwysiadu digidol. Mae'n personoli dysgu trwy nodi arddulliau unigol ac optimeiddio amserlenni hyfforddi. Yn wahanol i ddulliau traddodiadol, mae Alma yn integreiddio mentora cymheiriaid, mewnwelediadau a ysgogir gan DD, ac amserlennu addasol, gan sicrhau profiad ymuno dilyfn ac effeithlon. Trwy leihau costau hyfforddi a meithrin ymgysylltiad, mae Alma yn helpu sefydliadau i gyflymu datblygu sgiliau wrth wella parodrwydd y gweithlu.

Y Gydnabyddiaeth

Am y Gwobr Efydd A' Design Award

Mae Alma Platfform Hyfforddi Addasol yn enillydd Gwobr Efydd A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau rhagorol sydd yn nodedig am greadigrwydd, dyfeisgarwch a chraffter. Mae enillwyr Efydd yn arteffactau medrus iawn a thrawiadol o greadigol sydd yn dilysu profiad helaeth, dychymyg a dyfeisgarwch eu dylunwyr. Disgwylir i Alma Platfform Hyfforddi Addasol fod yn wrthrych uchel ei fri, a edmygir ac a anwylir, sydd yn nodedig o broffesiynol ac arloesol. Mae'r dyluniad buddugol hwn o Wobr Efydd A' Design Award yn ymgorffori arferion gorau mewn celf, gwyddoniaeth, dylunio a thechnoleg, ac yn rhagorol am ei sylw i fanylion. Mae Alma Platfform Hyfforddi Addasol yn bodloni anghenion yn odidog, yn cyffwrdd â dyheadau, yn swyno teimladau ac yn apelio at chwilfrydedd.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: 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.
Llif Gweithrediad: 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.
Patentau: Copyrights belong to Mina Maazi, 2025.
Aelodau'r Tîm: Mina Maazi
Cydnabyddiaeth Delweddau: 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.