Cultivation Method Analysis for Teachers’ Teaching Ability Driven by Artificial Intelligence Technology

Strengthening construction for teaching staff is an eternal theme of development and colleges, it also the focus personnel management in colleges. China swiftly transitioning from industrial age to era intelligence as a result rapid growth information technology artificial intelligence. Colleges universities have reached new stage their evolution, one marked by intelligent use technology, represented fourth generation technology: cloud computing, big data, Higher standards college professors’ abilities been imposed this policy. It therefore beneficial evaluate teachers’ perspective improve overall quality education. First, work researches improves ability training strategies teachers driven different levels. Second, proposes neural network (IPSO-BP) evaluating via technology. Aiming at issues BP network, constructs IPSO improving weight decay strategy learning factor PSO algorithm. Then, uses optimize construct IPSO-BP. Third, results experiments suggest that proposed here both feasible preferable.