2022
DOI: 10.1155/2022/7104587
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Systematic Mode Construction of Mixed Teaching from the Perspective of Deep Learning

Abstract: Deep learning will be one of the key technologies to promote learning in the next five years. With the rapid advancement of the information era, significant changes in students’ learning and thinking patterns have occurred. How to further encourage the development of students’ professional skills and innovative capacity has become the focus of society under the influence of the notion of deep learning. With the application of information technology in education, blended learning, as the only key trend mentione… Show more

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Cited by 5 publications
(7 citation statements)
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“…. Generation experiments chose using the NetworkX [21][22][23][24][25][26] network package. NetworkX is a network modelling tool developed based on the python platform.…”
Section: Resultsmentioning
confidence: 99%
“…. Generation experiments chose using the NetworkX [21][22][23][24][25][26] network package. NetworkX is a network modelling tool developed based on the python platform.…”
Section: Resultsmentioning
confidence: 99%
“…The literature review includes several studies investigating the application of deep learning in blended teaching methodologies. Zhao (2022) explores the systematic construction of mixed teaching modes from the perspective of deep learning, offering insights into the integration of traditional and online teaching methods.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Blended teaching, characterized by a combination of traditional classroom instruction and online learning components, offers a versatile platform for delivering English language education. Deep learning techniques, inspired by the human brain's neural networks, further enrich this approach by providing innovative tools for language acquisition and comprehension [5]. Through a blend of in-person discussions, language labs, and online resources such as interactive exercises and multimedia content, students are exposed to diverse learning experiences that cater to their individual needs and preferences [6].…”
Section: Introductionmentioning
confidence: 99%
“…The development and collaborative contribution of creativity is in an explorative process in the full swing of artificial intelligence, where creative mathematical problem solving manages to have a great demand for research, as well as creative collaboration is of utmost importance these days [37], machine learning has support from metaheuristics to improve the quality of solving a problem [38], demonstrating that the interaction between teacher-student helps mathematical reasoning and supports student learning through questions and suggestions that leads to reasoning as a central point [39] with which it is possible to build a deep and systematic learning [40] using algebraic language connections to solve concrete problems, where the intervention in the theoretical framework is developed in an environment to achieve problem solving with the indicators (transformation, contingency, foundation and connection) [41].…”
Section: Mathematics In the Real World As Creativity (Social Professi...mentioning
confidence: 99%