Artificial intelligence readiness and innovative work behavior among university engineering teachers: parallel indirect effects of creative self-efficacy and technology integration self-efficacy study by Li, Yi, Jiang and Man:

Drawing on Social Cognitive Theory and Conservation of Resources Theory, this cross-sectional study surveyed 786 university engineering teachers in Chongqing, China. We examined the association between AI readiness and innovative work behavior and tested parallel indirect effects through creative self-efficacy and technology integration self-efficacy.

AI readiness was positively associated with innovative work behavior. The indirect paths through creative self-efficacy and technology integration self-efficacy were both significant. AI readiness remained significantly associated with innovative work behavior after both mediators were included, indicating partial mediation.

[…] Universities can support quality education by linking AI training to course design, laboratory teaching, project development, and research tasks, while using guided practice and feedback to build teachers’ confidence.

[…] AI readiness was positively associated with innovative work behavior among university engineering teachers in Chongqing. The indirect paths through creative self-efficacy and technology integration self-efficacy were both significant. AI readiness remained significantly associated with innovative work behavior after both mediators were included, indicating partial mediation.

[…] AI readiness includes knowledge of AI principles, applications, trends, and ethical requirements (Wang X. et al., 2023). This knowledge may help engineering teachers judge where AI is useful, how it should be applied, and what risks require attention.

If you are not utilizing AI in your work as a coach you are do a disservice to the players in your team.

There are so many creative ways to use things like 3D graphics, small video games, TikTok style reels to show your team created only with a few simple prompts.