Alma Chikuva Chekudzidzisa Chinochinjika naMina Maazi

Dhizaini Alma Chikuva Chekudzidzisa Chinochinjika naMina Maazi ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2025 Mubairo weBronzi we A' Design Award muChikwata cheKukwikwidza cheDzidzo, Zvishandiso zveKudzidzisa neZvemukati zveKurovedzera.

BronziDzidzo· 2025

Alma Chikuva Chekudzidzisa Chinochinjika

na Mina Maazi

Mutengi: Birmingham City University

Mukundi weMubairo weBronzi we A' Design Award muChikwata cheDzidzo

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Nezvekwa Alma Chikuva Chekudzidzisa Chinochinjika

Alma imubatsiri wekutarisira kudzidza unoshandisa AI kuvandudza kudzidziswa mumakambani nekugamuchira tekinoroji yedhijitari. Inogadzirira kudzidza nekuziva nzira dzekudzidza dzemunhu mumwe nemumwe uye nekuvandudza kuronga kwekudzidzisa. Kusiyana nenzira dzechinyakare, Alma inosanganisa kuperekedza pakati pevamwe nevamwe, ruzivo runobva mu-AI, nekuronga kunochinjika, ichivimbisa kupinza vanhu vatsva kunobudirira uye kunoshanda zvakanaka. Nekuderedza mari yekudzidzisa nekusimudzira kufarira, Alma inobatsira masangano nekukurumidza kukura kweunyanzvi achibatsira pakugadzirira kwevashandi.

Kuzivikanwa

Nezve Mubairo weBronzi we A' Design Award

Mubairo weBronzi we A' Design Award wakahwinwa ne Alma Chikuva Chekudzidzisa Chinochinjika, rukudzo rwakakwirira kwazvo runopiwa kumadhizaini akasiyana anozivikanwa nekugadzira, njere nekungwara. Vakunda veBronzi mabasa ane unyanzvi hwakakwana uye kugadzira kunoshamisa kunosimbisa ruzivo rukuru, pfungwa nehunyanzvi hwevagadziri vawo. Alma Chikuva Chekudzidzisa Chinochinjika inotarisirwa kuva chinhu chinokudzwa kwazvo, chinoremekedzwa uye chinodiwa, chine hunyanzvi hunoonekwa uye zvitsva. Dhizaini iyi yakahwina Mubairo weBronzi we A' Design Award inosanganisa maitiro akanakisa muhunyanzvi, sayenzi, dhizaini netekinoroji uye yakasiyana nekutarisisa zvidiki. Alma Chikuva Chekudzidzisa Chinochinjika inogutsa zvinodiwa zvakanaka, inobata zvishuvo, inokwezva manzwiro uye inomutsa kuda kuziva.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Kukura & Kupakiwa: 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.
Matagi: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Tekinoroji Yekugadzira: 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.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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.
Chikurudziro: 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.
Nguva yePurojekiti: 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.
Mafambiro eBasa: 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.
Mapetenzi: Copyrights belong to Mina Maazi, 2025.
Nhengo dzeTimu: Mina Maazi
Zvikwereti zveMifananidzo: 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.