A Deep Learning-oriented Practical Training Course for Computer Application Skills

Authors

  • Jiang Guiwen Guangxi Technological College of Machinery and Electricity

DOI:

https://doi.org/10.3991/ijet.v18i06.38011

Keywords:

Deep learning, computer, application skill, practical training course

Abstract


With the rapid development of computer technology and constant advance of teaching information reform in the field of higher education, how to cultivate qualified computer talents in teaching seems particularly important. However, the current computer teaching is still based on theoretical teaching, the application form of teaching methods is unitary, and the teaching effect is not ideal. In this study, on the basis of Moodle platform, a teaching mode of deep learning was constructed using the guiding concept of multiple intelligences theory. This model was mainly performed in three stages through three links, which corresponded to three levels of deep learning. In this study, 100 students majoring in computer science were taken as research objects for teaching practice, and students’ learning ability was measured and assessed through numerous methods, such as questionnaire survey, classroom observation, work assessment, and interview. The validity of this model was verified through an analysis and summary of experimental data. Results suggest that deep learning mode can effectively develop students’ computer ability and improve their learning initiative and innovation. This study verifies that online teaching mode based on deep learning is effective and is of certain significance and implication for the development of the course of computer technology.

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Published

2023-03-21

How to Cite

Guiwen, J. (2023). A Deep Learning-oriented Practical Training Course for Computer Application Skills. International Journal of Emerging Technologies in Learning (iJET), 18(06), pp. 28–41. https://doi.org/10.3991/ijet.v18i06.38011

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Section

Papers