The world of work and education is changing at a rapid pace, driven by continued technological disruption and automation. The future is uncertain and difficult to envisage. A futures thinking scenario planning approach is used in exploring and guiding education policy makers on how best to respond to the range of possible futures. The paper aims to discuss this issue.
This study utilizes elements of prior scenario planning methodologies to devise a practical model of preferred and plausible likely scenarios in the context of rapid and continuing technology disruption. Based on the notion of “impact and uncertainty,” two possible future alternatives of work and learning were developed. Incorporating elements of the possibility space scenario framework and a vignette approach of current emergent technologies, this paper assessed the usefulness of the preferred and likely outcomes.
While preferred future scenarios entailing collaborative styles such as human–machine cooperation, smart virtual active learning campuses and living knowledge learning environments may produce more desirable benefits for education stakeholders, the more likely plausible scenario is one based on continued disruptive technologies. Automation, artificial intelligence and the advent of 5G network technologies will drive customization and personalization in higher education delivery and revolutionize the work landscape in the immediate future. Universities will need to embrace and respond to these changes.
The paper gives insights into how universities can prepare their students for future of work and improve their employability. In addition, this author recommends ways in which HEIs can leverage these newer technologies to drive educational services and commercial value.
