Alma

Adaptive Training Platform for Birmingham City University

Alma is an AI-powered learning management assistant that enhances corporate training and digital adoption. It personalizes learning by identifying individual styles and optimizing training schedules. Unlike traditional methods, Alma integrates peer-to-peer mentoring, AI-driven insights, and adaptive scheduling, ensuring a seamless and efficient onboarding experience. By reducing training costs and fostering engagement, Alma helps organizations accelerate skill development while improving workforce readiness.

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Alma by Mina Maazi

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Adaptive Training Platform by Mina Maazi

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Mina Maazi Alma

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Mina Maazi Adaptive Training Platform

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Birmingham City UniversityBrand Logo

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Unique Properties

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.

Tags

Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform

Production Technology

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.

Design Challenge

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.

Project Duration

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.

Operation Flow

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.

Research

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.

Inspiration

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.

Image Credits

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.

Project Overview

Alma Adaptive Training Platform has been a Bronze winner in the Education, Teaching Aid and Training Content Design award category in the year 2024 organized by the prestigious A' Design Award & Competition. The Bronze A' Design Award is given to outstanding designs that showcase a high degree of creativity and practicality. It recognizes the dedication and skill of designers who produce work that stands out for its thoughtful development and innovative use of materials and technology. These designs are acknowledged for their professional execution and potential to influence industry standards positively. Winning this award highlights the designer's ability to blend form and function effectively, offering solutions that enhance people's lives and wellbeing.

Bronze Recognition

Mina Maazi was recognized with the coveted Bronze A' Design Award in 2025, a testament to excellence of their work Alma Adaptive Training Platform.

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