Alma Dandali na Horarwa mai Daidaitawa daga Mina Maazi

Zane Alma Dandali na Horarwa mai Daidaitawa daga Mina Maazi mai nasara ne mai daraja sosai na 2025 Kyautar A' Design Award ta Tagulla a Rukunin Gasar Ilimi.

TagullaIlimi· 2025

Alma Dandali na Horarwa mai Daidaitawa

daga Mina Maazi

Abokin Ciniki: Birmingham City University

Mai Nasarar Kyautar A' Design Award ta Tagulla a Rukunin Ilimi

24,831

Mai Nasara da Aka Tabbatar

Tabbatar da Matsayin Kyauta na #169409

Ziyarci Shafin Duba a A' Design Award Sanarwar Manema Labarai Alamar Kyauta

Launuka

Ƙirar

Game da Alma Dandali na Horarwa mai Daidaitawa

Alma mataimaki ne na sarrafa koyo wanda ke amfani da Hankali na Zaman Kansa (AI) don haɓaka horarwar kamfanoni da karɓar fasaha ta dijital. Yana keɓanta koyo ta hanyar gano salon koyo na mutum ɗaya da inganta jadawalin horarwa. Ba kamar hanyoyin gargajiya ba, Alma yana haɗa jagoranci tsakanin takwarorin, bayanan da AI ke bayarwa, da tsarin jadawalin mai daidaitawa, yana tabbatar da ingantacciyar ƙwarewar shiga aiki. Ta hanyar rage kuɗin horarwa da haɓaka sa kai, Alma yana taimaka wa ƙungiyoyi su hanzarta haɓaka ƙwarewa yayin inganta shirye-shiryen ma'aikata.

Amincewa

Game da Kyautar A' Design Award ta Tagulla

Zanen Alma Dandali na Horarwa mai Daidaitawa ya lashe Kyautar A' Design Award ta Tagulla, wata karramawa mai tsananin daraja da ake bai wa zane-zane na musamman waɗanda ke da ƙirƙira, basira da hikima. Waɗanda suka lashe kyautar Tagulla kayayyakin fasaha ne masu ƙwarewa da ƙirƙira mai ban mamaki waɗanda ke tabbatar da babban gogewa, tunani da dabarun masu zanensu. Ana sa ran zanen Alma Dandali na Horarwa mai Daidaitawa ya zama abu da ake girmamawa sosai, ake sha'awa da ƙauna, mai ƙwarewa da ƙirƙire-ƙirƙire. Wannan zane da ya lashe Kyautar A' Design Award ta Tagulla yana haɗa mafi kyawun ayyuka a fasaha, kimiyya, zane da fasahar zamani, kuma yana da kyau saboda kulawarsa ga cikakkun bayanai. Zanen Alma Dandali na Horarwa mai Daidaitawa yana biyan buƙatu da kyau, yana taɓa sha'awa, yana jan hankalin zukata kuma yana jawo sha'awar sani.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman: 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.
Girma da Fakitin: 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.
Kalmomin Alama: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Fasahar Samarwa: 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.
Ƙalubalen Zane: 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.
Bincike: 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.
Wahayi: 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.
Tsawon Lokacin Aikin: 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.
Tsarin Aiki: 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.
Haƙƙoƙin Ƙirƙira: Copyrights belong to Mina Maazi, 2025.
Mambobin Ƙungiya: Mina Maazi
Godiyar Hotuna: 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.