Construction of comprehensive application platform for intelligent teaching of photoshop course under cloud platform

Qingxiu Liu; Ye Wang

doi:10.1117/12.2691846

23 August 2023 Construction of comprehensive application platform for intelligent teaching of photoshop course under cloud platform

Qingxiu Liu, Ye Wang

Author Affiliations +

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278433 (2023) https://doi.org/10.1117/12.2691846
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

Under the traditional teaching mode, there are some problems in the teaching practice of Photoshop computer-aided design course, such as lack of teaching resources, single teaching method and fixed curriculum, which restrict the effectiveness of teaching. In this regard, this paper puts forward a set of construction scheme of intelligent teaching comprehensive application platform to realize the network, digital and intelligent transformation of Photoshop course teaching mode and improve the training quality of information professionals in the new period. The whole system is B/S architecture, relying on the "cloud-network-end" functional service system, organically combining theoretical knowledge teaching with practical skills training, forming a new form of integrated teaching. Practice has proved that the system has strengthened the application support of multimedia digital teaching resources, and improved the application efficiency of teaching content and training materials by relying on LFM recommendation algorithm model, and realized the teaching evaluation based on standard deviation algorithm, which played a positive role in improving the efficiency and quality of classroom teaching.

Citation Download Citation

Qingxiu Liu and Ye Wang "Construction of comprehensive application platform for intelligent teaching of photoshop course under cloud platform", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278433 (23 August 2023); https://doi.org/10.1117/12.2691846

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