Machine Learning in 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.

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.

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.

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.

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.

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.

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.