Use case type

Personalized learning

Personalized learning groups 9 documented AI deployments in the AI Use Case Hub. Adoption so far spans Education and Consumer & Food, led by Global. Teams most often build it with Microsoft Teams and Azure OpenAI. Browse the company examples below to see how teams put it into production.

Use cases

9

Examples

9

Industries

2

Timeline

6 mo

Data updated 1 day ago

Adoption over time

Documented cases per month

By case publish month · completed months only

7 cases documented across 35 months (Sep 23 – Jul 26), peaking at 2 in October 2023.

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

9 shown from 9 use cases

The Kenya AI Skilling Alliance (KAISA) has been launched as a collaborative ecosystem to boost AI literacy and automation skills among the country’s youth. This initiative, supported by the Office of the President of Kenya and public and private sector partners, is designed to prepare young people for a future driven by artificial intelligence and digital transformation. The project leverages Microsoft’s AI skills initiatives and aims to drive government skilling programs, policy advocacy, ecosystem coordination, and industry collaboration. The launch has garnered strong support from leaders across industry, international organizations, and education in Kenya. The KAISA is expected to have a positive impact by empowering youth with critical technology skills, thus aiding in the growth of Kenya’s AI ecosystem and the expansion of workforce opportunities in a rapidly changing digital landscape.

Kenya AI Skilling AllianceEducation

Unilever partnered with Microsoft to launch an innovative digital education tool for its Lifebuoy brand, targeting children and families across 11 global markets.The project features an 'AI Hippo'—an interactive, AI-powered digital character that offers personalized lessons in handwashing and hygiene for kids.Developed using Microsoft Azure OpenAI and immersive AR technologies by Aircards, this solution introduces localized content (languages, foods, colors) to drive relevance and adoption.The initiative takes advantage of gamified learning, music, and creative storytelling to keep children engaged and motivated.Parents and children can access content such as digital coloring books, personalized songs, and location-specific games.Local language options, spanning English, Hindi, Bahasa Indonesian, Vietnamese, and Amharic, break down barriers to education.MullenLowe, a creative agency, designed engagement strategies rooted in behavioral science and children's affinity for animals.Unilever positions the Lifebuoy brand as an active partner in family health, strengthening bonds and boosting brand equity with targeted, value-driven engagement.

Médica Panamericana, in technical partnership with BinPar, developed PROMIR, a 100% online preparation system for Spain's MIR residency entrance examination.The platform uses generative AI running fully on AWS to create personalized questions, case studies, and learning materials based on each student's performance, learning patterns, strengths, and weaknesses.The solution is designed to improve accessibility by automatically generating alternative text, audio versions, and other accessibility features for learners with disabilities.

Médica PanamericanaEducation

Torrens University, a leading Australian higher education provider, sought to improve the quality, accessibility, and consistency of its online courses to meet students' needs for mobile-friendly, inclusive learning.With more than 1,200 courses and 60,000 pages to analyze and update, manual review would have required over 20,000 hours. To overcome this, the university launched MyLearn—their new standardized LMS platform—leveraging Microsoft Azure OpenAI's generative AI capabilities.Working with Microsoft technical experts, Torrens deployed a generative AI pipeline to analyze, restructure, and enhance course content. The system automated standardization of layouts, improved mobile responsiveness, and ensured accessibility compliance (WCAG 2.0 AA).An academic-led human-in-the-loop review phase safeguarded educational quality, while automated integrations with Microsoft Teams streamlined student communication and collaboration.Results include substantial time and cost savings, consistent user experience, and a future-ready digital curriculum architecture supporting further AI-driven improvements for student and institutional benefit.

Torrens UniversityEducation

Classera, a global leader in education technology, leverages Microsoft Azure AI, Microsoft Teams, and other services to provide personalized and scalable learning experiences. The platform employs AI-powered tools to tailor education based on individual student strengths, shortcomings, and preferences, ensuring adaptive and engaging learning. Gamification coupled with AR/VR enhances classroom interactions, making learning both fun and effective. With more than 12 million users across 40 countries and support from major tech collaborators like Microsoft and Intel, Classera revolutionizes education by ensuring robustness, reliability, and real-time collaboration for educational institutions, corporations, and government agencies.

ClasseraEducation

The Ministry of Education in Saudi Arabia collaborated with Microsoft to ensure uninterrupted education during the COVID-19 pandemic for over 6 million students. By leveraging Microsoft's Azure Cloud Platform, the MoE replaced its outdated infrastructure with scalable, secure, and accessible cloud-based solutions. The implementation of Madrasati LMS supported multiple stakeholders, including students from K-12 schools, parents, and educators. Microsoft further provided robust security measures, scalable resources, and remote learning tools such as Teams and Office 365. The entire system went live within weeks, ensuring uninterrupted access to quality education in challenging circumstances.

Ministry of EducationEducation

Educational institutions leverage a broad suite of Microsoft AI-powered tools to enhance both student and staff experiences. Personalization of learning content is achieved through Azure OpenAI Service, with solutions such as automated literacy passage generation, math quizzes, and comprehension questions.Teachers use Microsoft 365 Copilot to automate tasks like lesson planning, grading, and communication, freeing significant time for student engagement.Education Insights and Power BI enable advanced analytics of student performance and well-being, supporting data-driven decisions at every educational level.Microsoft Teams and Power Automate streamline communication and automate recurring announcements, empowering more inclusive and accessible learning environments. Features like Immersive Reader and live translation/captioning advance accessibility and support a diverse student population.Results include measurable time savings (e.g., 50–80% reductions in planning and grading), improved engagement, and productivity benefits for both teachers and students. Insights show operational efficiency and positive educational outcomes.Case reference to Forsyth County Schools' performance improvement with Power BI underscores the real-world impact of these technologies in practice.

Forsyth County SchoolsGlobalEducation

Minecraft Education, powered by Microsoft 365 and enhanced with AI tools, is utilized in over 40,000 school systems across 140 countries for immersive, curriculum-aligned lessons.Educators create and deliver hundreds of lessons, group projects, and STEM challenges within Minecraft’s engaging world, improving student engagement, attendance, and agency.Students build digital skills, learn to code, and develop critical thinking and collaboration by participating in creative build challenges and virtual environments designed to foster AI literacy and digital citizenship.New AI-powered features (such as Lesson Crafter in private preview) allow teachers to further personalize content and adapt learning materials to individual student needs.Minecraft Education supports teaching across a wide range of subjects, including math, sciences, biology, chemistry, and physics through hands-on exploration.The platform’s worldwide reach and proven impact make it a central technology for motivating diverse learners and bridging gaps in digital skills.

Minecraft EducationGlobalEducation

PCOU Willibrord Foundation, overseeing 41 schools in Utrecht, Netherlands, transitioned from a decentralized IT model to a centralized, cloud-based approach. Pre-pandemic, each school operated its own student information system (SIS), leading to inefficiencies and manual work when managing class data.With the onset of COVID-19, the Foundation rapidly deployed Microsoft 365 and Microsoft Teams across 34 schools to facilitate remote and hybrid learning models. Implementation was supported by Microsoft partner SPEYK, which helped integrate disparate SIS data via Microsoft School Data Sync.This automation enabled the Foundation to create over 8,000 digital class groups serving 9,369 students and 678 teachers. Processes previously handled manually at the end of each school year, such as class creation and teacher-student assignment, were automated.The system ensured learning continuity even if teachers were unavailable, as replacements could be managed centrally and students continued lessons seamlessly.Efficiency gains, reduced manual labor, and sustained education through crises were achieved. The Foundation now plans to leverage predictive analytics and AI chatbots to further assist educators.Centralization also allowed IT staff to respond quickly to sector changes and support ongoing innovation, which facilitated rapid scalability and flexibility for future educational needs.

PCOU Willibrord FoundationEducation

Common questions

Personalized learning at a glance

How many personalized learning use cases are documented?
The AI Use Case Hub documents 9 real personalized learning deployments across 2 industries, with 9 detailed company examples you can browse.
Which industries adopt personalized learning the most?
Personalized learning is most common in Education (89%) and Consumer & Food (11%).
Which countries lead in personalized learning?
Global leads documented personalized learning deployments, followed by United States and Saudi Arabia.
What technologies are used for personalized learning?
Teams most often build personalized learning with Microsoft Teams, Azure OpenAI and AI.
What AI capabilities power personalized learning?
Across the documented deployments, the most common capability patterns are Vision (11%), Fine-tuning (11%) and Agent (11%).
What results do companies report from personalized learning?
Across the 9 deployments reporting outcomes, companies most often cite new product / capability (78%), customer experience & trust (78%) and scale & capacity (44%).