Alma Platform Pelatihan Adaptif oleh Mina Maazi

Karya Alma Platform Pelatihan Adaptif oleh Mina Maazi adalah pemenang yang sangat dihormati dari 2025 A' Design Award Perunggu yang sangat bergengsi dalam Kategori Kompetisi Desain Pendidikan, Alat Bantu Mengajar dan Konten Pelatihan.

PerungguPendidikan· 2025

Alma Platform Pelatihan Adaptif

oleh Mina Maazi

Klien: Birmingham City University

Pemenang A' Design Award Perunggu dalam Kategori Pendidikan

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Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan untuk #169409

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

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Tentang Alma Platform Pelatihan Adaptif

Alma adalah asisten manajemen pembelajaran bertenaga AI yang meningkatkan pelatihan korporat dan adopsi digital. Platform ini mempersonalisasi pembelajaran dengan mengidentifikasi gaya belajar individual dan mengoptimalkan jadwal pelatihan. Berbeda dengan metode tradisional, Alma mengintegrasikan mentoring peer-to-peer, wawasan berbasis AI, dan penjadwalan adaptif, memastikan pengalaman onboarding yang mulus dan efisien. Dengan mengurangi biaya pelatihan dan mendorong keterlibatan, Alma membantu organisasi mempercepat pengembangan keterampilan sekaligus meningkatkan kesiapan tenaga kerja.

Pengakuan

Tentang A' Design Award Perunggu

Alma Platform Pelatihan Adaptif adalah pemenang A' Design Award Perunggu, pengakuan yang sangat bergengsi yang diberikan kepada desain luar biasa yang dicirikan oleh kreativitas, kecerdikan, dan ketajaman. Pemenang Perunggu adalah artefak yang sangat terampil dan sangat kreatif yang membuktikan pengalaman luas, imajinasi, dan kelihaian para desainernya. Alma Platform Pelatihan Adaptif diharapkan menjadi objek yang sangat dihargai, dikagumi, dan dicintai, sangat profesional dan inovatif. Desain pemenang A' Design Award Perunggu ini menyertakan praktik terbaik dalam seni, sains, desain, dan teknologi, dan sangat baik dalam perhatiannya pada detail. Alma Platform Pelatihan Adaptif memuaskan kebutuhan dengan indah, menyentuh keinginan, memikat perasaan, dan menarik rasa ingin tahu.

Di Balik Desain

Kit Pers

Kredit, anggota tim, dan detail teknis yang disediakan oleh desainer.

Keunikan: 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.
Riset: 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.
Alur 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.