Alma Madal Tababar oo La-qabsan Kara oo uu sameeyey Mina Maazi

Naqshadda Alma Madal Tababar oo La-qabsan Kara oo uu sameeyey Mina Maazi waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Waxbarashada, Qalabka Macalinka iyo Waxa La Tababbarayo ee 2025 Abaalmarinta Naxaasta ah ee A' Design Award.

NaxaasWaxbarasho· 2025

Alma Madal Tababar oo La-qabsan Kara

Mina Maazi uu sameeyay

Macmiilka: Birmingham City University

Ku Guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award ee Qaybta Waxbarasho

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Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #169409

Booqo Bogga Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan Alma Madal Tababar oo La-qabsan Kara

Alma waa kaaliye maareynta waxbarashada oo AI-ku-shaqeeya kaas oo kor u qaada tababarka shirkadaha iyo qaadashada dijitaalka. Waxay u habeysaa barashada shakhsi ahaaneed iyadoo aqoonsanaysa qaababka shakhsi ahaaneed oo hagaajinaysa jadwalka tababarka. Si ka duwan hababka dhaqameed, Alma waxay isku dhejisaa la-talinta asxaabta-dhexdooda, aragtiyo AI-ku-dhisan, iyo jadwalka la-qabsan kara, taas oo dammaanadda khibrad soo dhaweyn oo fudud oo hufan. Iyadoo hoos u dhigaysa kharashyada tababarka iyo kordhinta ka-qaybgalka, Alma waxay ka caawisaa ururrada inay dedejiyaan horumarinta xirfadaha halka ay wanaajinaayan diyaarnimada shaqaalaha.

Aqoonsiga

Wax ku saabsan Abaalmarinta Naxaasta ah ee A' Design Award

Alma Madal Tababar oo La-qabsan Kara waa guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award, aqoonsi sharaf sare leh oo la siiyo naqshado aan caadi ahayn oo lagu garto hal-abuur, hal-abuur cusub iyo caqli. Guuleystayaasha Naxaasta waa shaqooyin xirfad buuxda leh iyo hal-abuur yaab leh oo xaqiijiya khibrad weyn, male-awaal iyo kartida naqshadeeyayaashooda. Alma Madal Tababar oo La-qabsan Kara waa walax la filayo inay noqoto mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, xirfad cad leh oo hal-abuur cusub leh. Naqshadahan ku guuleystay Abaalmarinta Naxaasta ah ee A' Design Award wuxuu ku darsadaa hab-dhaqanno ugu wanaagsan farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada wuxuuna ku fiican yahay dhawrista tafaasiisha. Alma Madal Tababar oo La-qabsan Kara si fiican ayay u buuxisaa baahiyaha, taabataa rabitaannada, soo jiidataa dareenka kicinayaanna xiisaha aqoonta.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: 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.
Cabbirka & Qaabaynta: 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.
Summado: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Tiknoloojiyada Soo Saarka: 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.
Caqabadda Naqshadda: 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.
Cilmi-baadhis: 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.
Dhiirrigelinta: 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.
Muddada Mashruuca: 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.
Socodka Hawlgalka: 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.
Shatiyada: Copyrights belong to Mina Maazi, 2025.
Xubnaha Kooxda: Mina Maazi
Amaanta Sawirrada: 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.