Deep learning, liberal education, and institutional practice: Emerging findings, provocative lessons
dc.contributor.author | Kuh, G. D. | |
dc.contributor.author | Nelson Laird, T. F. | |
dc.contributor.author | Kinzie, J. | |
dc.contributor.author | Tagg, J. | |
dc.date.accessioned | 2019-09-09T17:38:22Z | |
dc.date.available | 2019-09-09T17:38:22Z | |
dc.date.issued | 2006-01 | |
dc.identifier.uri | https://hdl.handle.net/2022/23714 | |
dc.language.iso | en | en |
dc.publisher | Association of American Colleges & Universities Annual Meeting | en |
dc.rights | This work is under a CC-BY license. You are free to copy and redistribute the material in any format, as well as remix, transform, and build upon the material as long as you give appropriate credit to the original creator, provide a link to the license, and indicate any changes made. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.title | Deep learning, liberal education, and institutional practice: Emerging findings, provocative lessons | en |
dc.type | Presentation | en |
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