An exploration of the variables relating to middle school students’ grit via a machine learning technique, Group Mnet

2020 ◽  
Vol 31 (1) ◽  
pp. 157-182
Author(s):  
Jin Eun Yoo ◽  
Hyeong Gwan Kim ◽  
Minjeong Rho
Keyword(s):  
Machine Learning ◽  
Middle School ◽  
Middle School Students ◽  
School Students ◽  
Machine Learning Technique ◽  
Learning Technique

LSA in the Classroom

2012 ◽  
pp. 158-168
Author(s):  
Walter Kintsch ◽  
Eileen Kintsch
Keyword(s):  
Machine Learning ◽  
Middle School ◽  
Middle School Students ◽  
Semantic Similarity ◽  
Machine Learning Method ◽  
Learning Method ◽  
School Students ◽  
Educational Application

LSA is a machine learning method that constructs a map of meaning that permits one to calculate the semantic similarity between words and texts. We describe an educational application of LSA that provides immediate, individualized content feedback to middle school students writing summaries.

Traumatic experiences and associated symptomatology in Asian American middle school students.

2017 ◽  
Vol 8 (3) ◽  
pp. 209-223
Author(s):  
Elizabeth Davies-Mercier ◽  
Michelle W. Woodbridge ◽  
W. Carl Sumi ◽  
S. Patrick Thornton ◽  
Katrina D. Roundfield ◽  
...  
Keyword(s):  
Middle School ◽  
Middle School Students ◽  
Asian American ◽  
Traumatic Experiences ◽  
School Students

Longitudinal Effects of School Climate on Middle School Students' Development

2014 ◽  
Author(s):  
Jennifer L. Engelland ◽  
Renee M. Tobin ◽  
Adena B. Meyers ◽  
Brenda J. Huber ◽  
W. Joel Schneider ◽  
...  
Keyword(s):  
Middle School ◽  
School Climate ◽  
Middle School Students ◽  
School Students ◽  
Longitudinal Effects

Perceived Social Support and Middle School Students' School Adjustment

2009 ◽  
Author(s):  
Ji-Geun Kim ◽  
Yejin Lee ◽  
Bo-Ra Song ◽  
Hyunah Lee ◽  
Jung Eun Hwang
Keyword(s):  
Social Support ◽  
Middle School ◽  
Middle School Students ◽  
Perceived Social Support ◽  
School Adjustment ◽  
School Students
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