Exploration of experimental teaching mode of software testing course based on OBE concept and deep learning

Abstract Software testing education is closely related to science and technology. The emerging technological innovation and the development of educational theory require curriculum design and implementation methods to keep pace with the times. This study explores the experimental teaching mode of ap...

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Bibliographic Details
Main Authors: Yin Liu, Quanxin Wang
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
Online Access:https://doi.org/10.1007/s44163-025-00403-9
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Summary:Abstract Software testing education is closely related to science and technology. The emerging technological innovation and the development of educational theory require curriculum design and implementation methods to keep pace with the times. This study explores the experimental teaching mode of applying the concept of output-oriented education (OBE) and deep learning technology to the software testing course. Through a detailed literature review, this paper clarifies the challenges faced by the current software testing education and the existing teaching gaps. Then, it puts forward an innovative teaching model design. This study adopts a series of research designs and methods to experiment and verify the effectiveness of teaching mode based on the OBE concept and deep learning in improving the learning effect of software testing courses. Through the rigorous analysis of experimental data, the research results reveal the obvious advantages of this teaching mode in enhancing students' learning motivation, understanding and practical operation ability and suggesting future educational practice and research direction.
ISSN:2731-0809