Alma Platform Latihan Adaptif oleh Mina Maazi

Reka bentuk Alma Platform Latihan Adaptif oleh Mina Maazi ialah pemenang yang sangat dihormati bagi 2025 A' Design Award Gangsa yang amat berprestij dalam Kategori Pertandingan Reka Bentuk Pendidikan, Alat Bantu Mengajar dan Kandungan Latihan.

GangsaPendidikan· 2025

Alma Platform Latihan Adaptif

oleh Mina Maazi

Klien: Birmingham City University

Pemenang A' Design Award Gangsa dalam Kategori Pendidikan

24,831

Pemenang Anugerah Yang Disahkan

Sahkan Status Anugerah untuk #169409

Lawati Laman Lihat di A' Design Award Siaran Akhbar Lencana Anugerah

Warna

Reka Bentuk

Mengenai Alma Platform Latihan Adaptif

Alma ialah pembantu pengurusan pembelajaran berkuasa AI yang meningkatkan latihan korporat dan adopsi digital. Ia memperibadikan pembelajaran dengan mengenal pasti gaya pembelajaran individu dan mengoptimumkan jadual latihan. Tidak seperti kaedah tradisional, Alma menyepadukan bimbingan rakan sebaya, wawasan terdorong AI, dan penjadualan adaptif, memastikan pengalaman orientasi yang lancar dan cekap. Dengan mengurangkan kos latihan dan memupuk penglibatan, Alma membantu organisasi mempercepatkan pembangunan kemahiran sambil meningkatkan kesediaan tenaga kerja.

Pengiktirafan

Mengenai A' Design Award Gangsa

Alma Platform Latihan Adaptif ialah pemenang A' Design Award Gangsa, pengiktirafan yang amat berprestij yang dianugerahkan kepada reka bentuk cemerlang yang dicirikan oleh kreativiti, kecerdikan dan ketajaman fikiran. Pemenang Gangsa ialah artifak yang amat mahir dan sangat kreatif yang membuktikan pengalaman luas, imaginasi dan akal budi pereka bentuknya. Alma Platform Latihan Adaptif diharapkan menjadi objek yang sangat dihargai, dikagumi dan disayangi, sangat profesional dan inovatif. Reka bentuk pemenang A' Design Award Gangsa ini merangkumi amalan terbaik dalam seni, sains, reka bentuk dan teknologi, dan cemerlang dalam perhatiannya terhadap butiran. Alma Platform Latihan Adaptif memenuhi keperluan dengan indah, menyentuh keinginan, memikat perasaan dan menarik rasa ingin tahu.

Di Sebalik Reka Bentuk

Kit Akhbar

Kredit, ahli pasukan dan butiran teknikal yang disediakan oleh pereka.

Ciri-Ciri 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 & Pembungkusan: 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 Pengeluaran: 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.
Cabaran Reka Bentuk: 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.
Penyelidikan: 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.
Tempoh Projek: 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.
Aliran 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.
Ahli Pasukan: Mina Maazi
Kredit Imej: 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.