Machine Learning in Education

Improving student outcomes and accelerating research

Machine learning (ML) is transforming education and fundamentally changing teaching, learning, and research. Educators are using ML to spot struggling students earlier and take action to improve success and retention. Researchers are accelerating research with ML to unlock new discoveries and insights. ML is expanding the reach and impact of online learning content through localization, transcription, text-to-speech, and personalization. Lastly, AWS is working with leaders in the public sector to adapt to the new world of ML and better equip students with the skills and expertise they need to succeed.

Higher Education

Identify and attract the right students, forecast enrollment, predict outcomes, and ensure student success. Accelerate research by making ML simpler and less costly to use across research activities and disciplines. Modernize the campus experience and make them smarter, safer, and more efficient.

Create Curriculum

K12 & Primary Schools

Identify at-risk students and target interventions. Enhance campus security with ML-powered threat detection and response. Improve teacher efficiency and impact with personalized content and AI-enabled teaching assistants and tutors. Improve efficiency of assessments and grading. Provide online self-service tools for parents and students.

K12 and Primary Schools

EdTechs and Learning Companies

Reach a global audience and serve users of all abilities via transcription, translation, text-to-speech, and content classification. Develop personalized learning experiences, self-service capabilities, and chatbots. Target marketing and advertising and track and predict student outcomes.

EdTechs and Learning Companies


Improve Student Outcomes

Machine learning is transforming how education institutions are tracking student performance and spotting issues. ML-powered personalized learning approaches are enabling educators to tailor learning pathways to individual students. Institutions are using ML to enhance the campus experience and enable self-service capabilities.


Increase Online Learning Reach

Traditionally, video lectures, discussion groups, and other high-velocity online learning content has been cost-prohibitive for transcription and translation at scale. Deep learning powered translation, transcription, and text-to-speech services provide accurate and low-cost options to make content accessible to students around the globe.


Accelerate Research and Discovery

Machine learning is moving out of the computer science department across all research disciplines. Research teams without deep data science and ML expertise can leverage ML to accelerate research and drive discovery. ML is improving content search and discovery for scientific and research document repositories.


Improve Operations

Attract the right students for admissions and accurately forecast enrollment to optimize capacity. Prevent fraud and protect student and staff safety both online and offline. Manage facilities and equipment more effectively through ML-powered predictive maintenance.

Machine Learning for Education


Decoding generative AI

Generative artificial intelligence (AI) is changing how organizations work—from operations to service delivery and everything in between. By the year 2030, the generative AI market is expected to reach $15.7 trillion in value, resulting in a 26% increase in global GDP.1. Register to learn how generative AI is reshaping the way organizations are reaching their audiences.


6 Steps to improve the student experience through machine learning

Follow the proven path to ML success. The 6 steps to improve the student experience through machine learning eBook will guide you on your ML journey and help you achieve measurable results at every stage along the way.


Enrich the student experience with personalization

Personalizing the student experience is key to staying ahead of the evolving higher education market. Yet many institutions face challenges that prevent them from providing personalized learning plans that capture the student’s interest. The result is low student satisfaction and limited visibility of the student’s needs. Learn how machine learning can help education institutions support student success.


AI-powered contact centers improve the student and faculty experience

Learn how you can leverage AWS AI services to empower students and faculty with self-service technologies, increase agent productivity by providing AI assistance during live calls, identify opportunities for continued improvement by deriving actionable insights from conversation data, and lower costs while increasing student and faculty satisfaction.

Blog Post: Helping students learn with Course Hero, powered by Amazon SageMaker

Course Hero is an online learning platform that provides students access to over 25 million course-specific study materials, including study guides, class notes, and practice problems for numerous subjects. The platform, which runs on AWS, is designed to enable every student to take on their courses feeling confident and prepared. Amazon SageMaker checks and validates the documents for fraud, honor code violations, copyright infringements, and spam – while saving its human employees for higher-order work.

Case Study: Echo360

Echo360 is a global leader in active and distance learning solutions. With Amazon Transcribe’s Automatic Speech Recognition, Echo360 is improving the learning experience for all students by developing capabilities for smarter search, deeper ways to engage with content, and a pathway for colleges and universities to offer effective and affordable closed captioning for all academic video.

Customer Stories

Higher education and K12 institutions, EdTechs, and learning companies are already using ML to improve student outcomes, accelerate research, and improve operations.