Zobrazeno 1 - 10
of 21
pro vyhledávání: '"David Karger"'
Publikováno v:
Physical Review Physics Education Research, Vol 12, Iss 2, p 020143 (2016)
We discuss student participation in an online social annotation forum over two semesters of a flipped, introductory physics course at Harvard University. We find that students who engage in high-level discussion online, especially by providing answer
Externí odkaz:
https://doaj.org/article/9a68df32a96b4fdbafa227fd20c0f1ac
Autor:
Jumana Almahmoud, Farnaz Jahanbakhsh, Marc Facciotti, Michele Igo, Kamali Sripathi, Kobi Gal, David Karger
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-36
A new approach to online discussion, which situates student discussions in the margins of the course content, can enhance student engagement with course materials. However, in high-enrollment classes, the large number of comments can overwhelm and in
Autor:
Hyunsoo G. Kim, Shay A. Geller, David Karger, Avi Segal, Nicholas Hoernle, Michele M. Igo, Kobi Gal, Kamali Sripathi, Marc T. Facciotti
Publikováno v:
IEEE Transactions on Learning Technologies, vol 14, iss 5
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision t
Publikováno v:
Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology.
Publikováno v:
MIT web domain
Communication platforms have struggled to provide effective tools for people facing harassment online. We conducted interviews with 18 recipients of online harassment to understand their strategies for coping, finding that they often resorted to aski
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::187f9396414df5fc2a3841a154a95015
https://hdl.handle.net/1721.1/123790
https://hdl.handle.net/1721.1/123790
Publikováno v:
Journal of College Science Teaching.
Publikováno v:
MIT web domain
Scopus-Elsevier
Scopus-Elsevier
Crowdsourcing systems, in which tasks are electronically distributed to numerous “information piece-workers”, have emerged as an effective paradigm for humanpowered solving of large scale problems in domains such as image classification, data ent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::574cf215192687d4f553c431d5186d97
https://orcid.org/0000-0002-0024-5847
https://orcid.org/0000-0002-0024-5847
Autor:
Eytan Adar, Moin Ahmad, James Allen, Paul André, Chieko Asakawa, John Barton, Michael Bernstein, Jeffrey P. Bigham, Nate Blaylock, Jim Blythe, Michael Bolin, Yevgen Borodin, Joel Brandt, Lydia B. Chilton, Victoria H. Chou, Elizabeth F. Churchill, Michael F. Cohen, Kevin Collins, Allen Cypher, William de Beaumont, Mira Dontcheva, Steven M. Drucker, Clemons Drews, Rob Ennals, James A. Fogarty, Björn Hartmann, Alexander Faaborg, George Ferguson, Jun Fujima, Lucien Galescu, Melinda Gervasio, Philip J. Guo, Eben Haber, Will Haines, Kasper Hornbæk, Zhigang Hua, M. Cameron Jones, Hyuckchul Jung, Eser Kandogan, David Karger, Shinya Kawanaka, Masatomo Kobayashi, Scott R. Klemmer, Tessa Lau, Kristina Lerman, Gilly Leshed, Joel Lewenstein, Henry Lieberman, James Lin, Greg Little, Aran Lunzer, Tara Matthews, Robert C. Miller, Brennan Moore, Les Nelson, Jeffrey Nichols, Mary Beth Rosson, David Salesin, Daisuke Sato, Christopher Scaffidi, m.c. schraefel, Mary Shaw, Aaron Spaulding, Mary Swift, Hironobu Takagi, Yuzura Tanaka, Max Van Kleek, Matthew Webber, Daniel S. Weld, Eric Wilcox, Leslie Wu, Chen-Hsiang Yu, Nan Zang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df732e806baed49b0a5c08d93e13927b
https://doi.org/10.1016/b978-0-12-381541-5.00030-4
https://doi.org/10.1016/b978-0-12-381541-5.00030-4
Publikováno v:
Chapman & Hall/CRC Applied Algorithms and Data Structures series ISBN: 9781584888208
Chapman & Hall/CRC Applied Algorithms and Data Structures series ISBN: 9780849326493
Chapman & Hall/CRC Applied Algorithms and Data Structures series ISBN: 9780849326493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa1c7f14d6bb9cd4fef4425abbc26082
https://doi.org/10.1201/9781584888215-c20
https://doi.org/10.1201/9781584888215-c20
Publikováno v:
Scopus-Elsevier
We suggest that by taking the Semantic Web local and personal, and deploying it as a shared "data sea" for all applications to trawl, new types of interaction are possible (even necessitated) with this heterogeneous source integration. We present a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0e0460327d9af98795a3b2482c6d03f5
https://eprints.soton.ac.uk/264973/
https://eprints.soton.ac.uk/264973/