Mina Maazi ᱨᱮᱱᱟᱜ Alma ᱟᱱᱩᱠᱩᱞ ᱥᱮᱪᱮᱫ ᱢᱚᱧᱪ ᱫᱚ ᱥᱤᱠᱷᱱᱟᱹᱛ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2025 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱠᱟᱥᱟᱥᱤᱠᱷᱱᱟᱹᱛ· 2025

Alma ᱟᱱᱩᱠᱩᱞ ᱥᱮᱪᱮᱫ ᱢᱚᱧᱪ

Mina Maazi ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Birmingham City University

ᱥᱤᱠᱷᱱᱟᱹᱛ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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#169409 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

ᱥᱟᱭᱤᱴ ᱧᱮᱞ ᱢᱮ A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Alma ᱟᱱᱩᱠᱩᱞ ᱥᱮᱪᱮᱫ ᱢᱚᱧᱪ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱟᱞᱢᱟ ᱫᱚ ᱢᱤᱫ AI ᱨᱮᱱᱟᱜ ᱥᱮᱪᱮᱫ ᱢᱮᱱᱮᱡᱽᱢᱮᱸᱴ ᱜᱚᱲᱚᱭᱤᱭᱟᱹ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱠᱚᱢᱯᱟᱹᱱᱤ ᱥᱮᱪᱮᱫ ᱟᱨ ᱰᱤᱡᱤᱴᱟᱞ ᱟᱯᱱᱟᱣ ᱵᱟᱲᱦᱟᱣᱟᱭ᱾ ᱱᱚᱶᱟ ᱫᱚ ᱦᱚᱲ ᱠᱚᱣᱟᱜ ᱱᱤᱡᱚᱨ ᱥᱮᱪᱮᱫ ᱦᱚᱨ ᱵᱟᱰᱟᱭ ᱠᱟᱛᱮ ᱟᱨ ᱥᱮᱪᱮᱫ ᱚᱠᱛᱚ ᱥᱚᱲᱚᱢ ᱠᱟᱛᱮ ᱱᱤᱡᱚᱨᱟᱱ ᱥᱮᱪᱮᱫ ᱮᱢᱟᱭ᱾ ᱢᱟᱨᱮ ᱦᱚᱨ ᱠᱷᱚᱱ ᱵᱷᱮᱜᱟᱨ ᱠᱟᱛᱮ, ᱟᱞᱢᱟ ᱫᱚ ᱢᱤᱫ-ᱢᱤᱫ ᱛᱟᱞᱟᱨᱮ ᱢᱮᱱᱴᱚᱨᱤᱝ, AI-ᱥᱟᱢᱟᱝ ᱵᱟᱰᱟᱭ, ᱟᱨ ᱟᱱᱩᱠᱩᱞ ᱥᱮᱰᱭᱩᱞᱤᱝ ᱡᱚᱲᱟᱣ ᱠᱟᱛᱮ ᱢᱤᱫ ᱥᱚᱨᱚᱞ ᱟᱨ ᱫᱟᱲᱮᱭᱟᱱ ᱚᱱᱵᱚᱨᱰᱤᱝ ᱵᱮᱵᱚᱥᱛᱟ ᱮᱢᱟᱭ᱾ ᱥᱮᱪᱮᱫ ᱠᱷᱚᱨᱚᱪ ᱠᱚᱢ ᱠᱟᱛᱮ ᱟᱨ ᱡᱩᱲᱟᱹᱣ ᱵᱟᱲᱦᱟᱣ ᱠᱟᱛᱮ, ᱟᱞᱢᱟ ᱫᱚ ᱜᱟᱶᱛᱟ ᱠᱚ ᱜᱚᱲᱚ ᱥᱮᱪᱮᱫ ᱞᱚᱜᱚᱱ ᱟᱨ ᱠᱟᱹᱢᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱛᱮᱭᱟᱨᱤ ᱥᱩᱫᱷᱨᱟᱹᱣ ᱨᱮ ᱜᱚᱲᱚ ᱮᱢᱟ ᱠᱚᱣᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Alma ᱟᱱᱩᱠᱩᱞ ᱥᱮᱪᱮᱫ ᱢᱚᱧᱪ ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Alma ᱟᱱᱩᱠᱩᱞ ᱥᱮᱪᱮᱫ ᱢᱚᱧᱪ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: 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.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: 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.
ᱴᱮᱜ ᱠᱚ: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: 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.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: 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.
ᱜᱚᱵᱮᱥᱚᱱᱟ: 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.
ᱯᱨᱮᱨᱚᱱᱟ: 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.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: 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.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 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.
ᱯᱮᱴᱮᱱᱴ ᱠᱚ: Copyrights belong to Mina Maazi, 2025.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ: Mina Maazi
ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ: 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.