Alma Iqonga Loqeqesho Oluziguqulayo ngu-Mina Maazi

Uyilo olubizwa ngokuba yi-Alma Iqonga Loqeqesho Oluziguqulayo olwenziwe ngu-Mina Maazi ngumwini obekekileyo webhaso elinobukhazikhazi le-2025 Ibhaso Lebhronzi le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lweMfundo, iziXhobo zokuFundisa kunye nokuQulatheyo kokuQeqesha.

IbhronziImfundo· 2025

Alma Iqonga Loqeqesho Oluziguqulayo

ngu Mina Maazi

Umxhasi: Birmingham City University

Umwini we-Ibhaso Lebhronzi le-A' Design Award Kudidi Lwe-Imfundo

24,172

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#169409

Tyelela iSayithi Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Alma Iqonga Loqeqesho Oluziguqulayo

U-Alma ngumncedisi wolawulo lokufunda oquhutywa yi-AI owandisa uqeqesho lwenkampani nokwamkelwa kwedijithali. Wenza ukuba ukufunda kube komntu ngamnye ngokuchonga izimbo zomntu ngamnye kunye nokuphucula izicwangciso zoqeqesho. Ngokungafaniyo neendlela zemveli, u-Alma udibanisa ukuqeqeshwa koontanga-nontanga, ukuqonda okuqhutywa yi-AI, kunye nokucwangciswa okunokuguquguquka, ukuqinisekisa amava okungena kwindawo asemgangathweni aze asebenze kakuhle. Ngokunciphisa iindleko zoqeqesho kunye nokukhuthaza ukuzibandakanya, u-Alma unceda imibutho ekhawuleziseni uphuhliso lwezakhono ngelixa iphucula ukulungela kwabasebenzi.

Ukuqatshelwa

Malunga ne-Ibhaso Lebhronzi le-A' Design Award

Alma Iqonga Loqeqesho Oluziguqulayo ngumphumeleli weIbhaso Lebhronzi le-A' Design Award, ukuqatshelwa okuhlonitshwayo kakhulu okunikwa imiyilo ephawulekayo eyahlukaniswa kukuyila, ubukrelekrele nobukrelekrele. Abaphumeleleyo beBhronzi ziimveliso ezinobuchule obukhulu nezidala ngokumangalisayo ezingqina amava aphangaleleyo, ukucinga nokwazi ukuzenzela kwabayili bazo. Alma Iqonga Loqeqesho Oluziguqulayo iyathenjwa ukuba ibe yimpahla exatyiswa kakhulu, edunyiswayo nethandwayo enobungcali obuphawulekayo nezinto ezintsha. Lo myilo uphumeleleyo weIbhaso Lebhronzi le-A' Design Award ubandakanya iindlela ezilungileyo kakhulu kubugcisa, inzululwazi, uyilo kunye nobuchwephesha kwaye ugqwesile ngenxa yokunikela ingqalelo kwiinkcukacha. Alma Iqonga Loqeqesho Oluziguqulayo iyanelisa iimfuno ngokumangalisayo, ichukumisa iinqwenelo, ikhwebela iimvakalelo kwaye itsala umdla.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: 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.
Iithegi: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Ubuchwepheshe Bokuvelisa: 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.
Umngeni Woyilo: 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.
Uphando: 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.
Inkuthazo: 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.
Ubude Beprojekthi: 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.
Ukuhamba Komsebenzi: 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.
Iipathenti: Copyrights belong to Mina Maazi, 2025.
Amalungu Eqela: Mina Maazi
Amagunya Emifanekiso: 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.