Ellucian Launches AI-Powered Learning Platform 'Journey' for Higher Education

Nov 6, 2025
Ellucian has introduced 'Journey', an AI-driven lifelong learning platform that connects education programs to workforce needs, already adopted by over 100 institutions.

Ellucian has launched 'Journey', an AI-powered lifelong learning platform designed to link higher education programs with workforce requirements, announced in a press release. The company reported that more than 100 institutions have adopted the platform, with 20 currently in active implementation.

Unveiled at Ellucian Live 2025, Journey uses artificial intelligence and large language models to map learners' skills to industry-recognized standards. It provides personalized course and career recommendations, helping students align their education with job opportunities and track skill progression.

Key features include AI-driven recommendations, comprehensive skills mapping, gamified learning, and deep system integration. The George Washington University participated as a development partner, highlighting the tool’s ability to help students visualize how their education connects to specific career paths.

Journey has received recognition across multiple award programs, including being named a finalist for the EdTech Awards' Professional Skills category and the AI Awards' Most Innovative AI Technology category.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI in Education

Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.