Adaptive learning oriented higher educational classroom teaching strategies

This work intends to meet China's need for high-quality talents and optimize the current college classroom teaching modes. It first investigates the current situation of college history classroom teaching from the perspective of positive psychology and adaptive deep learning. Then, the work formulates a new teaching strategy. This teaching strategy is divided into five parts: verbal information, smart skills, cognitive strategies, action skills, and learning attitudes. Then, the proposed new teaching strategy is applied to practice. Sixty students from a university in Anyang are recruited and divided into Class A (experimental class) and Class B (control class). The average score of Class A using the proposed teaching strategy has increased by 18%, from 68 to 86 points. The average score of Class B without using the proposed teaching strategy has decreased by 1%, from 68 to 67 points. This indicates that the college history classroom-oriented teaching strategy based on adaptive deep learning is both scientifically sound and effective.