Filtered by tag: automation × Clear
No More 'Grunt Work'?
Matched: generative AI
Staff at higher education institutions are increasingly using generative AI to handle routine tasks like drafting emails, summarizing documents, and writing reports. While many employees welcome the time savings, others are resistant, preferring traditional workflows. Some worry about accuracy, job security, or simply feel the old methods worked fine. Institutions are navigating how to encourage adoption without alienating skeptical staff.
Can AI make unis more human?
Matched: Agentic, Artificial Intelligence
Agentic AI could make universities more human by handling routine administrative tasks, freeing staff and students for meaningful interactions. Forrester research found 86% of education leaders prioritise student experience, yet only 21% believe their systems support AI capabilities, with 58% citing fragmented systems as a burden. Purpose-built AI tools can simplify enrolment, timetables and finance queries, but require accurate information, clear human handoffs, privacy safeguards, and outcome-focused measurement.
The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself
Matched: AI
The real danger of AI in higher education isn't cheating but the erosion of learning itself. Universities are adopting AI across teaching, research, and administration. While some uses raise familiar concerns about bias and privacy, broader adoption risks hollowing out the ecosystem of mentorship and practice that builds expertise. When AI handles drafting, feedback, and research tasks, students and early-career scholars lose the productive struggle that develops genuine competence and judgment.
Kids need soft skills in the age of AI, but what does this mean for schools?
Matched: AI, Artificial Intelligence
As generative AI threatens white-collar jobs, schools are rethinking what skills students need. Unlike prior automation, AI can simulate coding, writing, and data analysis, making soft skills like emotional awareness, problem-solving, and interpersonal ability increasingly valuable. Teachers can build these through reflective exercises and real-world problem-solving. Experts also warn against letting AI shortcut learning, since effort is essential to building skills.