Universities are facing a rapidly evolving job market where skills are the new currency. A recent study by identified 11 critical skills for success, including collaboration, critical thinking, and perseverance.
Over the past few years, we have witnessed a revolution in learning methodologies, with online and distance education emerging as formidable alternatives to traditional classroom settings. What was once considered a supplementary or remedial option has now evolved into a fundamental component of lifelong learning and professional development.
Looking ahead, technology, particularly generative AI, will continue to revolutionise learning paradigms, offering personalised and immersive experiences akin to those provided by leading retail brands. This disruption promises to usher in a new era of social, personalised, and informal learning, empowering individuals to navigate the complexities of the modern workplace with confidence and agility.
Language is no longer a hurdle with AI-powered translation tools. AI can bridge communication gaps and foster understanding among students from diverse backgrounds. AI is only as good as the data it's trained on. Organisations will need to ensure a strong enterprise data foundation for AI at scale to return data-driven recommendations that are relevant, authorised, and effective. This includes having the right guardrails in place to protect sensitive data and controlling data exposure to the right group of users. Additionally, every AI-augmented interaction a learner has informs important decisions.