Computational approaches to the history and structure of education research
Abstract/Contents
- Abstract
- The goal of this project is to examine the development and current state of U.S. education research through the lens of computational social science. The dissertation comprises three studies which use distinct data—dissertations, library logs, patents—and methods—topic models, navigational networks, semantic networks—to approach the history and structure of education research
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Munoz-Najar Galvez, Sebastian |
|---|---|
| Degree supervisor | McFarland, Daniel |
| Degree supervisor | Willinsky, John, 1950- |
| Thesis advisor | McFarland, Daniel |
| Thesis advisor | Willinsky, John, 1950- |
| Thesis advisor | Goldberg, Amir |
| Degree committee member | Goldberg, Amir |
| Associated with | Stanford University, Graduate School of Education. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Sebastian Munoz-Najar Galvez |
|---|---|
| Note | Submitted to the Graduate School of Education |
| Thesis | Thesis Ph.D. Stanford University 2020 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Sebastian Munoz-Najar Galvez
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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