When the University of Texas at Austin closed its Center for Teaching and Learning earlier this year, it joined a very small group (6 percent) of high-research-activity doctoral universities without ...
C olleges and universities should close teaching and learning centers because they threaten good teaching. That’s the ...
What if higher education moved beyond rigid calendars and assembly-line teaching to AI-powered, mastery-based learning where every student truly understands the material before moving forward?
The overall approach to the use of AI in higher ed is perhaps best described in terms of three groups: those who want to ban its use outright (often driven by concerns related to loss of employment, ...
As AI cements its place in education and the workforce, and as AI tools evolve, questions abound around how educators are using AI for teaching and learning, along with how they’re helping prepare ...
Increasing workloads are taking a toll on mental health and morale among teaching and learning professionals in higher education, according to a new Educause survey. Nearly two-thirds of overall ...
Forbes contributors publish independent expert analyses and insights. I share insights from the intersection of education and industry. Co-teaching between industry experts and educators is one of the ...
What should colleges and universities expect from the evolving landscape of artificial intelligence in the coming year? Here's what the experts told us. In an open call last month, we asked higher ...
Universities are providing access to artificial intelligence experts, conference learning opportunities and research ...
True accessibility comes when it is placed at the core of teaching and learning design. Read advice for creating universally accessible learning The right to education is enshrined in the Universal ...
Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should universities ...
Instead of evaluating faculty based on their teaching ability, institutions often rely on scholarly output as a proxy for professional competence. These measures, while important, fail to account for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results