Alma Àrd-ùrlar Trèanaidh Atharrachail le Mina Maazi

Tha Alma Àrd-ùrlar Trèanaidh Atharrachail le Mina Maazi na bhuannaiche air leth urramach anns an fharpais chliùitich 2025 Duais Umha A' Design Award ann an Roinn Farpais Dealbhadh Foghlaim, Ghoireasan Teagaisg agus Susbaint Trèanaidh.

UmhaFoghlam· 2025

Alma Àrd-ùrlar Trèanaidh Atharrachail

le Mina Maazi

Neach-ceannach: Birmingham City University

Buannaiche Duais Umha A' Design Award ann an Roinn Foghlam

24,172

Buannaiche Duais Dearbhaichte

Dearbhaich Inbhe na Duaise airson #169409

Tadhail air an Làrach Seall aig A' Design Award Brath Naidheachd Suaicheantas Duaise

Dathan

An Dealbhadh

Mu dheidhinn Alma Àrd-ùrlar Trèanaidh Atharrachail

'S e taic rianachd ionnsachaidh le cumhachd AI a th' ann an Alma a nì leasachadh air trèanadh corporra agus gabhail ri dìgiteach. Bidh e a' pearsanachadh ionnsachadh le bhith a' comharrachadh stoidhlean ionnsachaidh fa leth agus a' dèanamh nas fheàrr air clàran-ama trèanaidh. Eu-coltach ri dòighean traidiseanta, tha Alma a' toirt a-steach mentaireachd co-aoisean, lèirsinnean air an stiùireadh le AI, agus clàrachadh atharrachail, a' dèanamh cinnteach gun tèid eòlas tòiseachaidh rèidh is èifeachdach a thoirt seachad. Le bhith a' lùghdachadh chosgaisean trèanaidh agus a' brosnachadh com-pàirteachais, tha Alma a' cuideachadh bhuidhnean gus leasachadh sgilean a luathachadh fhad 's a tha e a' leasachadh deisealas na sgioba-obrach.

An Aithneachadh

Mu dheidhinn Duais Umha A' Design Award

Tha Alma Àrd-ùrlar Trèanaidh Atharrachail air Duais Umha A' Design Award a bhuannachadh, aithneachadh gu math urramach a bheirear do dhealbhaidhean sònraichte a tha air an comharrachadh le cruthachalachd, innleachd agus geurchuis. Tha buannaichean Umha nan obraichean gu math sgileil agus gu sònraichte cruthachail a dhearbhas eòlas farsaing, mac-meanmna agus tapachd an luchd-dealbhaidh. Thathar an dùil gum bi Alma Àrd-ùrlar Trèanaidh Atharrachail na nì air a bheil mòran meas, ion-mholta agus gràdhach, a tha gu sònraichte proifeiseanta agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Umha A' Design Award a' cur nan cleachdaidhean as fheàrr ann an ealain, saidheans, dealbhadh agus teicneolas an gnìomh, agus tha e sàr-mhath airson an aire do mhion-fhiosrachadh. Bidh Alma Àrd-ùrlar Trèanaidh Atharrachail a' sàsachadh fheumalachdan gu h-iongantach, a' suathadh ri miannan, a' tàladh faireachdainnean agus a' togail fiosrachd.

Air Cùl an Dealbhaidh

Pasgan Naidheachd

Creideasan, buill sgioba agus fiosrachadh teicnigeach a chuir an dealbhaiche ri chèile.

Feartan Sònraichte: 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.
Tomhasan & Pacadh: 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.
Tagaichean: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Teicneòlas Cinneasachaidh: 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.
Dùbhlan Dealbhaidh: 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.
Rannsachadh: 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.
Brosnachadh: 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.
Faid a' Phròiseict: 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.
Sruth Obrachaidh: 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.
Peutantan: Copyrights belong to Mina Maazi, 2025.
Buill na Sgioba: Mina Maazi
Creideasan Dhealbhan: 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.