Application of artificial intelligence APP in quality evaluation of primary school science education

Abstract

ABSTRACT Two scientific and systematic evaluation index systems are constructed for primary education APP and Science, Technology, Engineering, and Mathematics (STEM) courses. These systems are revised and confirmed through two rounds of Delphi method. The Delphi method determines an educational application (APP) evaluation index system containing four first-level indicators and thirty-three second-level indicators and a primary school STEM curriculum evaluation index system containing five first-level indicators and nineteen second-level indicators. Finally, analytic hierarchy process is used to determine the weight of all indicators to rank the weights. In the evaluation index system of educational APP, the weight of teaching design is 0. 2900, ranking the first; the weight of interactive experience is 0.1801, ranking the last. In the STEM curriculum evaluation index system, the weight of innovation practice is 0.3472, which is the maximum; the weight of independent management is 0.0879, which is the minimum. It is of great significance to promote the deepening of primary school STEM curriculum learning evaluation, improve the effectiveness of STEM curriculum teaching, and promote the healthy development of primary school education APP.