Navigating AI in the modern classroom
Artificial intelligence is not a new development, but recently, its use in classrooms has exploded–what are the implications and possibilities of AI in colleges and universities?
Beyond compliance: Governing higher education in the age of intelligent systems
As intelligence becomes increasingly abundant and continuously available, institutional governance must evolve accordingly
AI prompt engineering is a critical new skillset
Prompt engineering is not just about using AI--it’s about using it wisely, ethically, and creatively
Why AI-driven education must replace an outdated learning model
AI systems would ensure that students are evaluated based on actual competency rather than their ability to memorize information for a test
As AI reshapes the LMS, responsible implementation is key
As institutions evaluate AI-powered LMS platforms, they should prioritize transparency, security, data control, and continuous quality refinement
5 essential dimensions of AI literacy
The framework focuses on general AI literacy for all, as well as specialized AI literacy that can be adapted to different disciplines and jurisdictions
AI literacy in higher education: Preparing students for human and machine collaboration
AI literacy goes beyond coding or data science--it means understanding how artificial intelligence functions, how it can be guided, and how it should be questioned
Students think universities should do more to prepare them for an AI-driven future
Academic institutions have an important role to play in providing concrete pathways to reinforce optimism and curiosity about AI
Does AI face a double standard in higher ed?
AI’s future in education will be determined not by algorithms alone, but by the trust of the educators who use them
AI is an iceberg: We can’t ignore its unseen potential
Educators should embrace the massive, powerful new presence of AI in learning environments
Using AI in a job search
