Online and offline teaching connection system of college ideological and political education based on deep learning
| العنوان: | Online and offline teaching connection system of college ideological and political education based on deep learning |
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| المؤلفون: | Yongqing Chang, Fenghua Qi, P. Hemalatha, K. Ramesh |
| المصدر: | Progress in Artificial Intelligence. |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Online and offline, Higher education, business.industry, Computer science, media_common.quotation_subject, Deep learning, Teaching method, Teacher education, Ideal (ethics), Politics, Artificial Intelligence, ComputingMilieux_COMPUTERSANDEDUCATION, Mathematics education, Ideology, Artificial intelligence, business, media_common |
| الوصف: | The teaching methods demonstrate that a classical ideological and political teaching (IPT) approach pays attention to students' critical role in learning. The public teaching course is a simple mandatory course in regular schools for non-pedagogical students. It constitutes a significant course for the development of the teacher values and educational ideal of teachers. Developing an ideological and political teaching platform for teacher education in alignment with the new pedagogy and the comprehensive requirements of current ideological and political education, public education at faculty and universities focused on video-on-demand technology. This paper proposes the deep learning-based integrated educational framework (DLIEF) for online and offline teaching models for ideological and political education. The deep neural network will ultimately serve teachers' public education courses at typical universities and boost classroom teaching qualities through data compression, network technologies and database technologies. A conceptual study of the benefits and drawbacks of online and offline instruction is a sensible suggestion, and enhancement of the students' particular situation is essential to achieve more substantial ideological and cultural results in higher education colleges based on deep learning. |
| تدمد: | 2192-6360 2192-6352 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::2a7607f11e0f3136fd77ec018f26d4c2 https://doi.org/10.1007/s13748-021-00268-w |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........2a7607f11e0f3136fd77ec018f26d4c2 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 21926360 21926352 |
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