Alma Urubuga rw'Amahugurwa Ruhindagurika by Mina Maazi

Buronze Uburezi · 2025

Alma Urubuga rw'Amahugurwa Ruhindagurika

by Mina Maazi

Igihembo cya A' Design Award cya Buronze 2025 in Uburezi
CLIENT: Birmingham City University
Estimated Number of Design Views: 24,172
Verification code F1D4926B0C · Verify this award

Visit Site View at A' Design Award Press Release

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About Alma Urubuga rw'Amahugurwa Ruhindagurika

Alma ni umufasha mu micungire y'amahugurwa ukoresheje ubuhanga bwa AI ugamije kunoza amahugurwa mu bigo no kwakira ikoranabuhanga. Itunganya uburyo bwo kwiga ku bantu ku giti cyabo ikareba uburyo umuntu yiga no gutunganya gahunda y'amahugurwa neza. Bitandukanye n'uburyo busanzwe, Alma ihuza ubwiyigishirizane hagati y'abakozi, ubushakashatsi bwa AI, n'gutunganya gahunda ihindagurika, bigatuma inzira yo kwinjiza abakozi nshya iba yoroshye kandi ikora neza. Mu kugabanya ibiciro by'amahugurwa no gutera inkunga abakozi, Alma ifasha amashyirahamwe kwihutisha iterambere ry'ubuhanga mu gihe igororotsa gutegura ingufu z'akazi.

About the Igihembo cya A' Design Award cya Buronze

Alma Urubuga rw'Amahugurwa Ruhindagurika ni uwegukanye Igihembo cya A' Design Award cya Buronze, ishimwe ry'agaciro gakomeye ritangwa ku bishushanyo by'indashyikirwa birangwa no guhanga, ubwenge n'ubushishozi. Abegukanye Buronze ni ibihangano bifite ubuhanga bwinshi kandi bihanga cyane, bishimangira uburambe, ubwenge n'ubushobozi bw'ababihanze. Alma Urubuga rw'Amahugurwa Ruhindagurika biteganyijwe ko izaba ikintu cyubahwa, gishimwa kandi gikundwa, gifite ubunyamwuga n'udushya. Iki gishushanyo cyegukanye Buronze gikoresha uburyo bwiza mu buhanzi, ubumenyi, ubushushanyo n'ikoranabuhanga kandi kirarenze mu gutaha ku tuntu duto. Alma Urubuga rw'Amahugurwa Ruhindagurika ishimisha ibyo dukeneye, ikora ku byifuzo byacu, itwara amarangamutima yacu kandi ikurura amatsiko yacu.

Press Kit

Unique Properties: 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.
Dimensions & Packaging: 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.
Tags: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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.
Operation Flow: 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.
Patents: Copyrights belong to Mina Maazi, 2025.
Image Credits: 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.