Back Propagation Neural Network-based Assessment Methods on IPE in Tertiary Education

Abstract

The application of multimedia in the stage of ideological and political educations IPE) in colleges and universities (IPECU) fully reflects the regularity, times and innovation of tertiary education. Aiming at the problems in the current IPECU, such as information feedback lag, imperfect IPE assessment mechanism and weak risk management and control ability, this article proposes an IPE assessment model based on DL and computer-aided design. The feasibility of the algorithm is verified by simulation experiments, and then the influence of multimedia teaching on IPECU is analyzed. When the quantity of test samples began to increase, the instructional assessment accuracy of different assessment methods showed a downward trend. But compared with the traditional FCA and ID3, the instructional assessment accuracy of proposed method is obviously higher, reaching more than 90%. In the scoring results under the deep integration of multimedia teaching, it can be seen that although the assessment of learners' innovation ability and adaptability did not change obviously in the early stage, the scoring showed an obvious accelerating trend when the cycle was prolonged. Therefore, multimedia instructional methods are of positive significance to the cultivation of university learners' innovative ability and adaptability.