We asked higher education technology leaders for their predictions on how the tech landscape will change for colleges and universities in the coming year. Here's what they told us.
We asked education-serving industry leaders to weigh in on how developments in AI and ed tech will impact colleges and universities in the coming year. Here's what they told us.
In an open call last month, we asked education and industry leaders for their predictions on the cybersecurity landscape for schools, districts, colleges, and universities in 2026. Here's what they told us.
Institutions that want to maximize their research investments need a strategic management approach that balances preservation, accessibility, and security and satisfies stakeholders' needs at the same time.
Ryan Lufkin, the vice president of global strategy for Instructure, examines how the focus on AI in education will move from experimentation to accountability.
The digital learning landscape is entering a new phase defined by rapid advances in artificial intelligence, rising expectations for the student experience, and increasing pressure to demonstrate quality and accountability in online education.
Ed tech maturity models can help institutions map progress and make smarter tech decisions.
A Jan. 30 event offered by the High Tech Law Institute at Santa Clara University convenes legal experts on intellectual property and IP law to consider the past 50 years and the future of IP in light of emerging technologies.
While most higher education leaders focus on AI's operational benefits — and rightfully so — the deeper transformation lies in how artificial intelligence is fundamentally reshaping what it means to learn, teach, and lead in the 21st century.
An ethics across the curriculum program at Santa Clara University's School of Engineering supports ethical reflection in engineering design and encourages each student to consider what it means to them to be an engineer.