Alma Platform Latihan Adaptif dek Mina Maazi

Alma Platform Latihan Adaptif dek Mina Maazi adolah pamenang nan sangaik tahormat dari A' Design Award Gangsa 2025 nan sangaik prestigius dalam Kategori Kompetisi Pendidikan.

GangsaPendidikan· 2025

Alma Platform Latihan Adaptif

dek Mina Maazi

Klien: Birmingham City University

Pamenang A' Design Award Gangsa dalam Kategori Pendidikan

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Pamenang Pangharogaan Taverifikasi

Verifikasi Status Pangharogaan untuak #169409

Kunjungi Situs Caliak di A' Design Award Siaran Pers Lencana Penghargaan

Warno

Desain

Tantang Alma Platform Latihan Adaptif

Alma alah sabuah asisten manajemen pembelajaran nan babantuakan AI untuk maningkekkan pelatihan korporat dan adopsi digital. Sistem ko mampersonalisasi pembelajaran jo mamatuih gaya balaja individu dan mangoptimalkan jadwal pelatihan. Baliak jo metode tradisional, Alma manggabuangan bimbingan antara sabaya, wawasan babasih AI, dan penjadwalan adaptif, manjamin pangalaman onboarding nan mulus dan efisien. Jo mangurangi biaya pelatihan dan mamupuak partisipasi, Alma mambantu organisasi mampacepek pangambangan keterampilan sambia maningkekkan kesiapan tenaga kerja.

Pangakuan

Tantang A' Design Award Gangsa

Alma Platform Latihan Adaptif adolah pamenang A' Design Award Gangsa, sabuah pangakuan nan sangaik bapresti nan dibarikan ka rancangan nan cemerlang nan dicirikan dek kreativitas, kacerdikan jo kabijaksanaan. Pamenang Gangsa adolah karya nan cukuik mahir jo kreatif sacaro mangesankan nan mamastikan pangalaman nan luas, imajinasi jo kacerdikan parancangnyo. Alma Platform Latihan Adaptif dipaokan manjadi bando nan sangaik dihormati, dikagumi jo disayangi, nan profesional jo inovatif sacaro nampak. Rancangan nan manang Gangsa iko mamuek praktik tabaik dalam seni, ilimu, rancangan jo teknologi jo cemerlang dalam parhatian ka rincian. Alma Platform Latihan Adaptif mamanuhi kaparluan jo elok, manyantuah karinduan, mamikaik parasaan jo manarik raso ingin tahu.

Di Baliak Desain

Kit Pers

Kredit, anggota tim jo rincian teknis nan disadioan dek perancang.

Sifat Unik: 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.
Dimensi & Kemasan: 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.
Tag: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Teknologi Produksi: 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.
Tantangan Desain: 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.
Penelitian: 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.
Inspirasi: 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.
Durasi Proyek: 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.
Alua Operasi: 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.
Paten: Copyrights belong to Mina Maazi, 2025.
Anggota Tim: Mina Maazi
Kredit Gambar: 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.