Alma Sehatra Fanofanana Mampifanaraka nataon'i Mina Maazi

Ny endrika Alma Sehatra Fanofanana Mampifanaraka nataon'i Mina Maazi dia mpandresy sarobidy amin'ny 2025 A' Design Award Varahina amin'ny Sokajin'ny Fifanintsanana Famolavolana Fanabeazana, Fitaovana Fampianarana ary Votoaty Fanofanana.

VarahinaFanabeazana· 2025

Alma Sehatra Fanofanana Mampifanaraka

nataon'i Mina Maazi

Mpanjifa: Birmingham City University

Mpandresy A' Design Award Varahina amin'ny Sokajy Fanabeazana

24,831

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #169409

Tsidiho ny Tranonkala Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Alma Sehatra Fanofanana Mampifanaraka

Alma dia mpanampy fitantanana fianarana ampiasain'ny AI izay manatsara ny fanofanana orinasa sy ny fandraisana teknolojia nomerika. Manao fianarana manokana izy amin'ny alalan'ny famantarana ny fomba fianarana tsirairay avy sy ny fanatsarana ny fandaharan'asan'ny fanofanana. Tsy toy ny fomba nentim-paharazana, Alma dia mampiditra ny fanofanana mpiara-miasa, ny fahalalana avy amin'ny AI, ary ny fandaminana mampifanaraka, miantoka traikefa fidirana tsy misy olana sy mahomby. Amin'ny fampihenana ny vidin'ny fanofanana sy ny fampiroboroboana ny fandraisan-dahatra, Alma dia manampy ny fikambanana hanafainganana ny fampandrosoana fahaiza-manao sady manatsara ny fahavitrihan'ny mpiasa.

Ny Fankasitrahana

Momba ny A' Design Award Varahina

Nandresy ny A' Design Award Varahina ny famolavolana Alma Sehatra Fanofanana Mampifanaraka, fankasitrahana malaza be omena ny famolavolana miavaka izay mampiavaka ny fahaiza-mamorona, ny fahazotoana ary ny fahamaotinan-tsaina. Ny mpandresy Varahina dia zavatra vita tanana mahay dia mahay ary mamorona mivantana izay manamafy ny traikefa be dia be, ny sarintsaina ary ny fahaizan-kafoy an'ny mpamolavola azy. Andrasana ho zavatra ankasitrahana be, ankafizina ary tiana, mahay amin'ny asa sady vaovao ny famolavolana Alma Sehatra Fanofanana Mampifanaraka. Ity famolavolana nandresy ny A' Design Award Varahina ity dia mitahiry ny fomba fanao tsara indrindra amin'ny zavakanto, ny siansa, ny famolavolana ary ny teknolojia, ary tsara indrindra amin'ny fitandremana ny antsipirihany. Ny famolavolana Alma Sehatra Fanofanana Mampifanaraka dia mahafa-po ny filana tsara, mikasika ny faniriana, mahasarika ny fihetseham-po ary misarika ny fahalianana.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: 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.
Marika: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Teknolojia Famokarana: 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.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: 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.
Fizotr'asa: 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.
Patanta: Copyrights belong to Mina Maazi, 2025.
Mpikambana ao amin'ny Ekipa: Mina Maazi
Loharanon-tsary: 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.