Alma Pjattaforma ta' Taħriġ Adattattiva minn Mina Maazi

Id-disinn Alma Pjattaforma ta' Taħriġ Adattattiva minn Mina Maazi huwa rebbieħ stmat ħafna tal-prestiġjuż 2025 Premju A' Design Award tal-Bronż fil-Kategorija tal-Kompetizzjoni ta' Disinn tal-Edukazzjoni, Għodod tat-Tagħlim u Kontenut tat-Taħriġ.

BronżEdukazzjoni· 2025

Alma Pjattaforma ta' Taħriġ Adattattiva

minn Mina Maazi

Klijent: Birmingham City University

Rebbieħ tal-Premju A' Design Award tal-Bronż fil-Kategorija ta' Edukazzjoni

24,831

Rebbieħ ta' Premju Ivverifikat

Ivverifika l-Istatus tal-Premju għal #169409

Żur is-Sit Ara fuq A' Design Award Stqarrija għall-Istampa Badge tal-Premju

Kuluri

Id-Disinn

Dwar Alma Pjattaforma ta' Taħriġ Adattattiva

Alma hija assistent ta' ġestjoni tat-tagħlim imħaddem bl-AI li jtejjeb it-taħriġ korporattiv u l-adozzjoni diġitali. Tippersnalizza t-tagħlim billi tidentifika l-istili individwali u tottimizza l-iskedi tat-taħriġ. B'differenza mill-metodi tradizzjonali, Alma tintegra mentoring bejn sħab, għarfien immexxi mill-AI, u skedulazzjoni adattattiva, li tiżgura esperjenza ta' integrazzjoni bla xkiel u effiċjenti. Billi tnaqqas l-ispejjeż tat-taħriġ u trawwem l-involviment, Alma tgħin lill-organizzazzjonijiet jaċċelleraw l-iżvilupp tal-ħiliet filwaqt li ttejjeb il-lestezza tal-forza tax-xogħol.

Ir-Rikonoxximent

Dwar il-Premju A' Design Award tal-Bronż

Alma Pjattaforma ta' Taħriġ Adattattiva huwa rebbieħ tal-Premju A' Design Award tal-Bronż, rikonoxximent prestiġjuż ħafna mogħti lil disinji eċċellenti ddistingwuti mill-kreattività, l-ingenwità u l-għaqal. Ir-rebbieħa tal-Bronż huma xogħlijiet bi ħila biżżejjed u kreattivi b'mod impressjonanti li jawtentikaw l-esperjenza vasta, l-immaġinazzjoni u l-ħila ta' riżorsi tad-disinjaturi tagħhom. Huwa mistenni li Alma Pjattaforma ta' Taħriġ Adattattiva ikun oġġett imqabbar ħafna, mammirat u maħbub, notevolment professjonali u innovattiv. Dan id-disinn rebbieħ tal-Bronż jinkorporaw l-aħjar prattiki fl-arti, ix-xjenza, id-disinn u t-teknoloġija u huwa eċċellenti fl-attenzjoni għad-dettalji. Alma Pjattaforma ta' Taħriġ Adattattiva jissodisfa l-ħtiġijiet b'mod eċċellenti, imiss ix-xewqat, jinċanta s-sentimenti u jattira l-kurżità.

Wara d-Disinn

Kit għall-Istampa

Krediti, membri tat-tim u dettalji tekniċi pprovduti mid-disinjatur.

Proprjetajiet Uniċi: 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.
Dimensjonijiet u Ippakkjar: 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.
Tikketti: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Teknoloġija tal-Produzzjoni: 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.
Sfida tad-Disinn: 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.
Riċerka: 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.
Ispirazzjoni: 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.
Tul tal-Proġett: 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.
Fluss tal-Operazzjoni: 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.
Privattivi: Copyrights belong to Mina Maazi, 2025.
Membri tat-Tim: Mina Maazi
Krediti tal-Immaġni: 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.