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The Effect of Gamification Method on vocabulary Achievement of Junior High School Students
Published 2024-12-01Get full text
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The coordination abilities development in female students based on dance exercises
Published 2021-08-01Get full text
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Influence of childhood abuse on the presence of depressive symptom in junior high school students: the effecting path of peer attachment and emotional resilience
Published 2024-12-01“…Peer attachment, emotional resilience and childhood abuse have been found to be associated with depressive symptoms, and it has been hypothesized that peer attachment and emotional resilience may play a chained effecting path in the relationship between childhood abuse and depressive symptoms in junior high school students.ObjectiveTo explore the relationship between childhood abuse and depressive symptom in junior high school students, analyze the effecting path of peer attachment and emotional resilience, thus to provide references for improving the mental health of junior high school students.MethodsFrom May to July 2022, a cluster sampling technique was utilized to recruit 1 781 junior high school students from a junior high school in Anhui province. …”
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Motives and features of cross-platform self-presentation of Russian students
Published 2021-04-01Get full text
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The Learning Styles of Technical Students and Their Role in Learning English as a Foreign Language
Published 2025-06-01Get full text
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Documenting medical students’ use of self-explanations: tool development and initial validity evidence
Published 2025-07-01Get full text
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Exploring Elementary Students’ Power and Solidarity Relations in an EFL Classroom
Published 2012-01-01Get full text
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Psychological aspects of students–armwrestlers’ preparation for competitions
Published 2024-12-01Get full text
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Identifying risk factors for depression and positive/negative mood changes in college students using machine learning
Published 2025-07-01“…The baseline level of depression, father’s emotional expression, and mother’s emotional expression were all important predictors for predicting the negative and positive changes in depression among college students.ConclusionMachine learning models can predict the extent of depression changes in college students. …”
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