Alma Pẹpẹ Ìkọ́ni Àtúnṣe by Mina Maazi is a highly esteemed winner of the very prestigious 2025 Àmì-ẹ̀yẹ Idẹ A' Design Award in Àpẹẹrẹ Ẹ̀kọ́, Ohun-èlò Ìkọ́ni àti Àkóónú Ìdánilẹ́kọ̀ọ́ Competition Category.

IdẹẸ̀kọ́· 2025

Alma Pẹpẹ Ìkọ́ni Àtúnṣe

by Mina Maazi

Client: Birmingham City University

Àmì-ẹ̀yẹ Idẹ A' Design Award Winner in Ẹ̀kọ́ Category

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The Design

About Alma Pẹpẹ Ìkọ́ni Àtúnṣe

Alma jẹ́ olùrànlọ́wọ́ ìṣàkóso ìkẹ́kọ̀ọ́ tí ó ní agbára ọgbọ́n-ẹ̀rọ ayárabíara (AI) tó ń mú ìkọ́ni ilé-iṣẹ́ àti ìgbàyégbé ẹ̀rọ oni-nọ́mbà dára sí i. Ó ń ṣe ìkẹ́kọ̀ọ́ lára ẹni kọ̀ọ̀kan nípa ìdámọ̀ àwọn ọ̀nà ìkẹ́kọ̀ọ́ tirẹ̀ wọn àti mímú àkókò ìkọ́ni péye. Yàtọ̀ sí àwọn ọ̀nà àtẹ̀yìnwá, Alma ń da ìtọ́ni ẹlẹgbẹ́-sí-ẹlẹgbẹ́, àwọn òye tó wá látinú ọgbọ́n-ẹ̀rọ, àti títò àkókò àtúnṣe pọ̀, tó ń mú kí ìrírí ìwọlé jẹ́ aláìléèdí àti tó péye. Nípa dídín owó ìkọ́ni kù àti dídá ìkópa dúró, Alma ń ran àwọn àjọ lọ́wọ́ láti mú ìdàgbàsókè ọgbọ́n yára látàrí tó sì ń mú ìmúrasílẹ̀ agbára-iṣẹ́ dára sí i.

The Recognition

About the Àmì-ẹ̀yẹ Idẹ A' Design Award

Alma Pẹpẹ Ìkọ́ni Àtúnṣe jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Alma Pẹpẹ Ìkọ́ni Àtúnṣe yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Alma Pẹpẹ Ìkọ́ni Àtúnṣe ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.
Dimensions & Packaging: 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.
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.
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.
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.
Patents: Copyrights belong to Mina Maazi, 2025.
Team Members: Mina Maazi
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.