The Factors Affecting University Student Deep Learning (USDL) in the University of Guilan, IRAN (comparative study among Humanities, Agricultural and physical Education Faculties)

Sadeghi, Abbas; Sadeghi, Atefeh

doi:10.1016/j.sbspro.2011.12.146

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Postareff et al explored the factors that lead to the change of deep learning styles in different learning environments through interviews [4] . Sadeghi et al investigated and studied the influencing factors of deep learning and found that the influencing factors of students entering deep learning include characteristics of teachers and students, learning goals, learning strategies, and academic activities [5] . In China, Wang et al explored the influence of behavioral input on the deep learning effect and conducted empirical measurements of the deep learning effect, and the results showed that behavioral input had a significant promoting effect on deep learning [6] .…”

Section: Deep Learning-related Researchmentioning

confidence: 99%

Research on Influencing Factors of Deep Learning Among High School Students in Western China

Xue

2024

erd

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To clarify the influential factors of deep learning among high school students in Western China and promote the high-quality development of basic education in Western China. This study adopts the method of stratified sampling and selects high school students at different altitudes as the research object. The results show that the high school students in the western region are in the middle level of deep learning. There are differences in gender, altitude, and other variables in deep learning of students. A multiple linear regression model was used to analyze the influencing factors of deep learning for high school students in Western China. The model shows that teacher-student interaction and teacher feedback are the main influencing factors of deep learning for high school students in Western China, while parental support and classroom teaching are secondary factors.

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Section: Deep Learning-related Researchmentioning

confidence: 99%

Research on Influencing Factors of Deep Learning Among High School Students in Western China

Xue

2024

erd

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“…On one hand, some scholars have pointed out that deep learning is influenced by the characteristics of academic personnel, characteristics of college students, academic activities, teaching processes, learning processes, and classroom atmosphere (Sadeghi et.al. 2012).…”

Section: B Factors Affecting Deep Learningmentioning

confidence: 99%

A Study on Deep Learning and Its Enlightenment on Chinars Foreign Language Learning

Wang¹

2018

Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)

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In recent years, deep learning has drawn extensive attention from experts both at home and abroad, involving multidisciplinary fields such as learning science, foreign language learning and so on. The study starts from the theoretical framework of deep learning, and then focuses on relevant foreign studies, such as the factors affecting deep learning, application of deep leaning in multidisciplinary fields, such as learning science, and foreign language learning. Based on the above analysis, the study emphasizes on the enlightenment of deep learning on China's foreign language learning and predicts further study directions in the future.

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Research on the Influencing Factors of College Students’ Deep Learning in Blended Learning Environment

Bin

Zhang

Xue

et al. 2021

2021 International Symposium on Educational Technology (ISET)

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The Factors Affecting University Student Deep Learning (USDL) in the University of Guilan, IRAN (comparative study among Humanities, Agricultural and physical Education Faculties)

Cited by 4 publications

References 13 publications

Research on Influencing Factors of Deep Learning Among High School Students in Western China

Research on Influencing Factors of Deep Learning Among High School Students in Western China

A Study on Deep Learning and Its Enlightenment on Chinars Foreign Language Learning

Research on the Influencing Factors of College Students’ Deep Learning in Blended Learning Environment

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