Why higher education needs trust, critical thinking, and authentic assessment, not surveillance alone.

Deciding whether students should use AI requires balancing safety with the developmental need to learn about managing risk.

A new report from the Center for Digital Thriving at Harvard University found AI suspicion is fueling a lack of trust between teachers and educators. A report author shares three strategies for overcoming that.

Understand the importance of completion rates and how they connect learning data to people and performance effectively.

AI tutors won’t teach students to think until the conversation itself becomes the assessment.

A majority of employers remain confident in higher ed, with just less than half saying college degrees will become more important as AI advances.

"Practitioners know what good output looks like and should own the final call, with operations handling the plumbing."

Universities are embedding technical competencies and ethics into learning outcomes, faculty development and degree requirements.

As generative AI has become embedded in the tools students use to search, write, create, translate, organize, and receive feedback, the boundary between "using AI" and "not using AI" has become increasingly difficult to define. More importantly, treating AI use as a binary choice does little to help students understand the different roles AI can appropriately play in learning.

"Critical thinking becomes easier to teach when students have something specific to examine. Instead of asking them simply to “think critically,” we can ask them to identify a purpose, question an assumption, evaluate information, or explain how they reached a conclusion."

Small AI helps young people build the skills and confidence to move from the classroom into meaningful jobs. The World Bank Group is working with countries to pilot small AI tools that support teachers, personalize learning, and support students.

"Generative AI has made eLearning faster and cheaper to produce, but it can also make it easier to optimize for completion rates while neglecting capability. Organizations should judge AI-assisted training by what employees can actually do afterwards."

"Exposure to artificial intelligence runs through the tasks you do each week, not the role on your badge. Here’s how to measure yours and lower the risk."

Aka, how to innovate the learning experience & improve outcomes with game design

Discover how ChatGPT-powered job interview practice helps students build language skills, strengthen professional communication, and gain confidence through scaffolded learning.

As institutions work to set technology priorities and budgets for the year ahead, now is the time to determine what to add, what to consolidate, and where to get more from existing investments.

Artificial intelligence is rapidly changing career paths so it's up to us to prepare students with skills that empower them across all fields and jobs

Explore why relevance is the key to meaningful training engagement and how learning leaders can move beyond completion to build capability.

And most employers prefer to hire workers with a college degree, even if the job doesn’t require one. Despite fears that AI will replace many entry-level white collar jobs, new data shows that many employers still want workers with a college degree.

VR, AR and AI can expand training opportunities, but physical practice remains essential when workers must handle equipment, coordinate with teams and perform correctly in high-risk situations.

Ban or no ban, students are going to use AI. Let’s make sure they have the skills to navigate it, says Common Sense Media’s chief program officer.

"We see AI interfaces every day, and many of them already follow the basic best practices of designing for AI. But what happens when the task is more complex: when generating an answer takes minutes rather than seconds, and the subject of research has many sides to it?"

Clearly, many aspects of everyday living have begun to change in the emerging, evolving age of AI. Higher education must acknowledge and adapt to those changes and anticipate the ones yet to come. Some faculty members fail to recognize that the world has changed and we must respond to those changes in how and what we do to prepare learners for their careers and personal aspirations. It is frustrating for many to be required to redesign their teaching content and methods in response to the larger worldwide technological changes. Yet, here we are—the world in fact has changed.

A meta-analysis of gamified learning finds real but small effects, and shows which design choices make the difference. What that means for points, badges and leaderboards in your course.