A social network analysis of student retention using archival data
By J. E. Eckles, Eric G. Stradley. 2012
92 citations recorded by the source corpus.
Subfields: Computer Science Applications, Education
View Paper: https://www.semanticscholar.org/paper/28fe68ac98382bfa4167a176f31d59fe7a8ce117
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Education
- H. Diefes‐Dux
- Krishna P. C. Madhavan
- Farshid Marbouti
- Reynol Junco
- Efrosyni-Alkisti Paraskevopoulou-Kollia
- Ioannis Anagnostopoulos
- Georgios Zachos
- E. Lee
Citations in the corpus
- Models for early prediction of at-risk students in a course using standards-based grading (2016, methodology): “Logistic Regression (Log Reg) is a reliable prediction method commonly used in educational settings (e.g., Braunstein, Lesser, & Pescatrice, 2008; Eckles & Stradley, 2012; Hendel, 2007).”
- Student class standing, Facebook use, and academic performance (2015, background): “…for student success: students who interact a great deal with their peers, who have broad social ties and reciprocated relationships, and who have strong bonds in their social network are more likely to persist to graduation (Eckles & Stradley, 2011; Pascarella & Terenzini, 2005; Thomas, 2000).”