Mina Maazi nisqap Alma Allichakuq Yachachiy Plataforma diseñon

Mina Maazi nisqap Alma Allichakuq Yachachiy Plataforma diseñonqa Yachachiy Kamay Atipanakuy T'aqapi 2025 A' Design Award Burunsi Premiu nisqap ancha chaniyuq atipaqninmi.

BurunsiYachachiy· 2025

Alma Allichakuq Yachachiy Plataforma

Mina Maazi rurasqa

Mañakuq: Birmingham City University

Yachachiy T'aqapi A' Design Award Burunsi Premiu Atipaq

24,172

Taripasqa Premio Atipaq

#169409 nisqapaq Premio Kayninta Taripay

Sitio Web Qhaway A' Design Award ukhupi Qhaway Prensa Willakuy Premio Unanchay

Llinphikuna

Diseñomanta

Alma Allichakuq Yachachiy Plataforma nisqamanta

Alma huk AI nisqawan yachay kamachinapaq yanapaqmi, empresakunapi yachachiy chaymanta digital chaskiyta allinchan. Sapakamaq yachayta ruwan sapa runapaq yachay rikchaykunata riqsirispa chaymanta yachachiy pachakunata allinchaspa. Ñawpaq ruwaykunamanta hukniray, Alma masintin masinman yachachikuy, AI nisqawan musyaykuna, chaymanta allichakuq pacha churaykunata huñun, mana sasachakuywan allin qallariy experienciata quspa. Yachachiy qullqita pisiyachispa chaymanta tantanakuyta kallpachaspa, Alma organizacionkunata yanapan yachaykunata utqaylla wiñachiyta llank'aq runakunap wakichikusqankuta allinchaspa.

Riqsichiy

A' Design Award Burunsi Premiu nisqamanta

Alma Allichakuq Yachachiy Plataforma A' Design Award Burunsi Premiu mishak kan, jatun yupaychay, kayta mana shuk shina, mushuk yuyaypi, yuyaypi shinallatak chaskik kaypi riksishka diseñukunaman kun. Burunsi mishak kashkakunaka ruray ushayta charik shinallatak mancharina mushuk rurashkakunami, paykunata rurakkunapak achka yachayta, yuyayta shinallatak ruray ushayta rikuchinku. Alma Allichakuq Yachachiy Plataforma sinchi yupaychashka, kuyashka shinallatak riksishka shuk ruray kanata munanku, ruray yuyaywan shinallatak mushuk yuyaywan. Kay Burunsi Premiu japishka diseñuka arti, siensia, diseñu shinallatak tekinolojíapi ashtawan alli ruraykunata tantachin shinallatak ima ukumanta rikuypi sumak kan. Alma Allichakuq Yachachiy Plataforma mañaykunata alli paktachin, munaykunata llankan, shunkuta kuyachin shinallatak yachayta munayta kallarichin.

Diseño Qhipanpi

Prensa Kit

Diseñadorpa quska créditos, llamk'aq runakunapas técnico willaykuna.

Sapaq Kayninkunamanta: 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.
Tupukuna & P'istuy: 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.
Etiquetakuna: Adaptive Learning, AI Assistant, Digital Literacy, Peer-to-Peer Learning, Mentorship Platform, E-Learning, Smart Scheduling, User-Centered Design, Personalized Education, Cloud-Based Platform
Ruway Tecnología: 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.
Diseño Sasachakuy: 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.
T'aqwiy: 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.
Kallpachay: 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.
Llamk'ay Pacha: 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.
Purichiy Puriy: 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.
Patentekuna: Copyrights belong to Mina Maazi, 2025.
Huñu Runakuna: Mina Maazi
Siq'i Hayñikuna: 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.