Alma Usoro Ọzụzụ Na-emegharị Onwe Ya nke Mina Maazi

Ihe emepụtara bụ Alma Usoro Ọzụzụ Na-emegharị Onwe Ya nke Mina Maazi bụ onye meriri a na-asọpụrụ nke ukwuu nke 2025 Ihe Nrite A' Design Award nke Bronz na Udi Asọmpi Nhazi Mmụta, Ngwá Nkụzi na Ọdịnaya Ọzụzụ.

BronzMmụta· 2025

Alma Usoro Ọzụzụ Na-emegharị Onwe Ya

nke Mina Maazi

Onye Ahịa: Birmingham City University

Onye Meriri Ihe Nrite A' Design Award nke Bronz na Udi Mmụta

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Onye Meriri Onyinye A Kwadoro

Nyochaa Ọnọdụ Onyinye maka #169409

Gaa Saịtị Lee na A' Design Award Akụkọ Mgbasa Ozi Akara Onyinye

Agba

Nhazi a

Maka Alma Usoro Ọzụzụ Na-emegharị Onwe Ya

Alma bụ enyemaka njikwa mmụta nke AI na-akwado nke na-eme ka ọzụzụ ụlọ ọrụ na nnabata dijitalụ dịkwuo mma. Ọ na-eme ka mmụta bụrụ nke onwe site n'ịchọpụta ụdị mmụta nke onye ọ bụla na ịmeziwanye nhazi oge ọzụzụ. N'adịghị ka usoro ọdịnala, Alma na-ejikọta nduzi ndị ọgbọ na ndị ọgbọ, nghọta nke AI na-ebute, na nhazi oge na-emegharị onwe ya, na-ahụ na ahụmịhe nbanye dị mfe ma na-arụ ọrụ nke ọma. Site n'ibelata ọnụ ahịa ọzụzụ na ịkwalite itinye aka, Alma na-enyere òtù aka ime ka mmepe nka dị ọsọ ebe ọ na-eme ka njikere ndị ọrụ dịkwuo mma.

Nkwanye Ugwu

Maka Ihe Nrite A' Design Award nke Bronz

Alma Usoro Ọzụzụ Na-emegharị Onwe Ya meriri A' Design Award nke Bronz, nnabata dị oke ugwu e nyere design ndị pụtara ìhè nke a ma ama maka nzụlite ihe, ọgụgụ isi na nghọta. Ndị meriri na Bronz bụ ihe e mere nke ndị nwere nka nke ukwuu ma dị mma n'imepụta nke na-egosi ahụmahụ buru ibu, echiche na ọgụgụ isi nke ndị designer ha. A na-atụ anya na Alma Usoro Ọzụzụ Na-emegharị Onwe Ya ga-abụ ihe a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya, nke dị oke ọrụ ma dị ọhụrụ. Design a meriri A' Design Award nke Bronz na-agụnye ụzọ kacha mma n'ime nka, sayensị, design na teknụzụ, ma dị mma nke ukwuu maka nlebara anya ya n'obere ihe. Alma Usoro Ọzụzụ Na-emegharị Onwe Ya na-emezu mkpa nke ọma, na-emetụ ọchịchọ aka, na-adọrọ mmetụta obi ma na-adọta ọchịchọ ịmara.

N'azụ Nhazi a

Ngwugwu Mgbasa Ozi

Nkwurịta okwu, ndị otu na nkọwa teknụzụ nke onye nhazi nyere.

Àgwà Pụrụ Iche: 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.
Nha & Mkpuchi: 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.
Mkpado: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Teknụzụ Mmepụta: 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.
Ịma Aka Imepụta: 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.
Nchọpụta: 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.
Mkpali: 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.
Oge Ọrụ: 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.
Usoro Ọrụ: 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.
Patentị: Copyrights belong to Mina Maazi, 2025.
Ndị Otu: Mina Maazi
Asụsụ Foto: 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.