Mina Maazi tarafından tasarlanan Alma Adaptif Eğitim Platformu

Mina Maazi tarafından tasarlanan Alma Adaptif Eğitim Platformu, Eğitim, Öğretim Materyali ve Eğitim İçeriği Tasarımı Yarışma Kategorisinde son derece prestijli 2025 A' Design Award Bronz Ödülü ödülünün saygın bir kazananıdır.

BronzEğitim· 2025

Alma Adaptif Eğitim Platformu

tasarımcı: Mina Maazi

Müşteri: Birmingham City University

Eğitim Kategorisinde A' Design Award Bronz Ödülü Kazananı

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Doğrulanmış Ödül Kazananı

#169409 için Ödül Durumunu Doğrula

Siteyi Ziyaret Et A' Design Award'da Görüntüle Basın Bülteni Ödül Rozeti

Renkler

Tasarım

Alma Adaptif Eğitim Platformu Hakkında

Alma, kurumsal eğitim ve dijital adaptasyonu geliştiren yapay zeka destekli bir öğrenme yönetim asistanıdır. Bireysel öğrenme stillerini tanımlayarak ve eğitim programlarını optimize ederek öğrenmeyi kişiselleştirir. Geleneksel yöntemlerin aksine Alma, akran mentorlüğü, yapay zeka destekli içgörüler ve adaptif programlamayı entegre ederek sorunsuz ve verimli bir işe alım deneyimi sağlar. Eğitim maliyetlerini azaltarak ve katılımı teşvik ederek Alma, kuruluşların beceri gelişimini hızlandırmasına ve işgücü hazırlığını iyileştirmesine yardımcı olur.

Tanınırlık

A' Design Award Bronz Ödülü Hakkında

Alma Adaptif Eğitim Platformu, A' Design Award Bronz Ödülü kazananıdır; bu, yaratıcılık, buluş gücü ve kurnazlıkla öne çıkan olağanüstü tasarımlara verilen son derece prestijli bir tanınırlıktır. Bronz kazananlar, tasarımcılarının engin deneyimini, hayal gücünü ve becerikliliğini doğrulayan fazlasıyla yetenekli ve çarpıcı biçimde yaratıcı nesnelerdir. Alma Adaptif Eğitim Platformu, çok itibar gören, hayranlıkla izlenen ve sevilen, dikkat çekici derecede profesyonel ve yenilikçi bir nesne olması beklenir. A' Design Award Bronz Ödülü kazanan bu tasarım, sanat, bilim, tasarım ve teknolojideki en iyi uygulamaları bünyesinde barındırır ve ayrıntıya gösterdiği özenle mükemmeldir. Alma Adaptif Eğitim Platformu ihtiyaçları muhteşem biçimde karşılar, arzulara dokunur, duyguları büyüler ve merakı çeker.

Tasarımın Perde Arkası

Basın Kiti

Tasarımcı tarafından sağlanan jenerik, ekip üyeleri ve teknik detaylar.

Benzersiz Özellikler: 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.
Boyutlar ve Ambalaj: 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.
Etiketler: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Üretim Teknolojisi: 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.
Tasarım Zorluğu: 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.
Araştırma: 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.
İlham: 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.
Proje Süresi: 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.
İşleyiş Akışı: 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.
Patentler: Copyrights belong to Mina Maazi, 2025.
Ekip Üyeleri: Mina Maazi
Görsel Kredileri: 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.