Curator 90 (talk | contribs) |
(mobo import Concept___Events-migrated) |
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|City=Cambridge | |City=Cambridge | ||
|State=Massachusetts | |State=Massachusetts | ||
| − | |Country= | + | |Country=Country:US |
|Notification=2016/12/14 | |Notification=2016/12/14 | ||
|Submitted papers=105 | |Submitted papers=105 | ||
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|End Date=2017/04/21 | |End Date=2017/04/21 | ||
|Academic Field=Educational Data Mining;Data Mining;Learning Analytics | |Academic Field=Educational Data Mining;Data Mining;Learning Analytics | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
All papers were | All papers were | ||
Revision as of 14:38, 6 September 2022
All papers were reviewed according to stringent criteria. Full Papers were reviewed by at least three program committee members, Work-In-Progress Papers and Demonstration Descriptions by two. Final decisions for acceptance of Full Papers were made by the program committee as a whole, often after extensive discussion of the merits of the paper. Whereas Full Papers present work that is innovative and mature, WiPs and Demos offer a forum for the newest and emerging work at earlier stages, offering pointers to future directions. As may be clear from the following analytics, the conference is highly selective in the work it accepts. Full Papers: submitted 105, accepted 14 Work in Process & Demos: submitted 79 accepted 35 Accepted as Posters 17 Acceptance Rate 13% 44%
