期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2022
卷号：17
期号：1
DOI：10.3991/ijet.v17i01.28717
语种：English
出版社：Kassel University Press
摘要：Enhancing teachers' visual digital media design ability is conductive to improving the effectiveness of classroom teaching of art design major. Thoroughly exploring, discussing, and studying the correlation between teachers' visual digital media design ability and effective teaching is a requirement for the professional development of art design teachers, and it is a very meaningful job for cultivating high-quality art design professionals. To this end, this paper aims to study the correlation between teachers’ visual digital media design ability and effective teaching. At first, this paper constructed an Evaluation Index System (EIS) for evaluating teachers’ visual digital media design ability, and gave the calculation methods and steps of the evaluation model based on the entropy weight TOPSIS method; then, the paper employed a Bayesian Convolutional Neural Network (BCNN) and made predictions on the multi-dimensional contribution of teachers' visual digital media design ability to effective teaching through the fusion of evaluation elements. At last, the effectiveness of the constructed EISs and models was verified by experimental results.
