Parahi Mātauranga · 2025
Alma Papāhau Whakangungu Whakauru
by Mina Maazi
- A' Design Award Parahi 2025 in Mātauranga
- CLIENT: Birmingham City University
- Estimated Number of Design Views: 24,172
- Verification code F1D4926B0C · Verify this award
Colors
About Alma Papāhau Whakangungu Whakauru
Ko Alma he kaitautoko whakahaere ako e whakakahangia ana e te Ariā e whakapai ana i ngā whakangungu umanga me te whakamahi matihiko. Ka whakamāoritia e ia te ako mā te tautuhi i ngā āhuatanga ako takitahi me te whakapainga i ngā hōtaka whakangungu. Kāore i te rite ki ngā tikanga tawhito, ka whakauruuru a Alma i te arataki hoa-ki-hoa, ngā tirohanga ā-Ariā, me te hōtaka whakauru, e whakarite ana i tētahi wheako urunga ngāwari, whai hua hoki. Mā te whakaheke i ngā utu whakangungu me te whakatupu i te whakauru, ka āwhina a Alma i ngā whakahaere kia tere ake te whanaketanga pūkenga me te whakapai ake i te takatū o te mahi.
About the A' Design Award Parahi
Ko Alma Papāhau Whakangungu Whakauru te toa o te A' Design Award Parahi, he whakaaetanga tino whai mana e hoatu ana ki ngā hoahoa kōeke e tohua ana mā te auaha, te mahi mōhio me te whakaaro hōhonu. Ko ngā toa Parahi he mahi pukenga e rite ana, he auaha mīharo, e whakatūturu ana i te wheako nui, te whakaaro me te mōhio-ā-ringa o ā rātou kaihoahoa. E tūmanakohia ana ko Alma Papāhau Whakangungu Whakauru he taonga whakanuia, whakamīharotia, aroha nui, he ngaio, he auaha hoki. Ko tēnei hoahoa i toa i te Parahi e whakauru ana i ngā tikanga pai rawa i te toi, te pūtaiao, te hoahoa me te hangarau, ā, he tino mīharo ki ngā taipitopito. Ka whakatutuki a Alma Papāhau Whakangungu Whakauru i ngā hiahia, ka pā ki ngā hiahia, ka whakaoho i ngā kare-ā-roto, ā, ka kume i te pākiki.
Press Kit
- 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.
- 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.
