BibSonomy publications for /tag/learning

Typologies of Learning Design and the introduction of a "LD-Type 2" case example

yish — 2012-02-15T13:25:29+01:00

E. Dobozy eLearning Papers (December 2011)ISSN: 1887-1542 .

Students' interpretations of learning tasks: Implications for educational design

yish — 2012-02-15T13:20:15+01:00

Peter Goodyear, and Robert Ellis Proceedings of the ASCILITE 2007 conference, Singapore, (2007)

Cognitive load theory, learning difficulty, and instructional design

yish — 2012-02-15T12:17:58+01:00

John Sweller Learning and instruction 4(4):295--312 (1994)

Learning Design vs. Instructional Design

yish — 2012-02-13T17:04:22+01:00

Kathy Siedlaczek, Gráinne Conole, Linda Castañeda, Rebecca Galley, Rosario Passos, Martin Owen, Thomas Ryberg, Alfred Low, LeRoy Hill, and Simon Cross (2009)

Everyone Should Get an A

schmidt2 — 2012-02-09T23:09:32+01:00

David MacKay (2005)

Abstraction ability as an indicator of success for learning computing science?

schmidt2 — 2012-02-09T22:47:33+01:00

Jens Bennedssen, and Michael E. Caspersen Proceedings of the Fourth international Workshop on Computing Education Research, page 15--26. New York, NY, USA, ACM, (2008)

Efficient Principled Learning of Thin Junction Trees.

sidyr — 2012-02-09T06:41:59+01:00

Anton Chechetka, and Carlos Guestrin NIPS, Curran Associates, Inc., (2007)

Probabilistic models of cognition: exploring representations and inductive biases

sidyr — 2012-02-08T12:50:45+01:00

Thomas L. Griffiths, Nick Chater, Charles Kemp, Amy Perfors, and Joshua B. Tenenbaum Trends in Cognitive Sciences 14(8):357-364 (Jun 23, 2010)

Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency.

sidyr — 2012-02-08T09:50:37+01:00

Dan Klein, and Christopher D. Manning ACL, page 478-485. ACL, (2004)

Machine learning theory and practice as a source of insight into universal grammar

sidyr — 2012-02-08T09:22:36+01:00

Shalom Lappin, and Stuart M. Shieber Journal of Linguistics 43(02):393--427 (2007)

Unsupervised learning of natural languages

sidyr — 2012-02-08T06:59:37+01:00

Solan, D Horn, E Ruppin, and S Edelman Proc Natl Acad Sci U S A 102(33):11629-11634 (August 2005)

The invention lab: Using a hybrid of model tracing and constraint-based modeling to offer intelligent support in inquiry environments

yish — 2012-02-05T23:35:21+01:00

I. Roll, V. Aleven, and K. Koedinger Intelligent Tutoring Systems, page 115--124. Springer, (2010)

Kernel methods in machine learning

sidyr — 2012-02-04T10:41:58+01:00

Thomas Hofmann, Bernhard Schölkopf, and Alexander J. Smola Annals of Statistics 36(3):1171--1220 (2008)

Using comics-based representations of teaching, and technology, to bring practice to teacher education courses

yish — 2012-02-01T13:07:34+01:00

Patricio Herbst, Daniel Chazan, Chia-Ling Chen, Vu-Minh Chieu, and Michael Weiss ZDM (2011)10.1007/s11858-010-0290-5 .

Individual differences and left-right asymmetries in auditory space perception --Localization of low frequency sounds in free field

muhe — 2012-01-27T14:10:42+01:00

Sophie Savel Hearing Research (2009)

An Enquiry Into the Method of Paired Comparison- Reliability, Scaling, and Thurstones Law of Comparative Judgment

muhe — 2012-01-27T14:10:42+01:00

Thomas C. Brown, and George L. Peterson United States Department of Agriculture (2009)

Uncovering Social Spammers: Social Honeypots + Machine Learning.

khilgenberg — 2012-01-26T13:12:53+01:00

Kyumin Lee, James Caverlee, and Steve Webb Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, page 435--442. New York, NY, USA, ACM, (2010)

Artificial Intelligence: A Modern Approach

khilgenberg — 2012-01-26T13:12:53+01:00

Stuart Russell, and Peter Norvig Prentice-Hall, (1995)

Detecting Spammers on Twitter.

khilgenberg — 2012-01-26T13:12:53+01:00

Fabricio Benevenuto, Gabriel Magno, Tiago Rodrigues, and Virgilio Almeida Proceedings of the Seventh Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference CEAS, (July 2010)

Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach.

khilgenberg — 2012-01-26T13:12:53+01:00

Alex Wang Data and Applications Security and Privacy XXIV, volume 6166 of Lecture Notes in Computer Science, chapter 25, Springer Berlin / Heidelberg, Berlin, Heidelberg, (2010)