@misc{mckenzie2011scaffolding,
abstract = {English language learners (ELLs) spend a majority of their instructional time in mainstream classrooms with mainstream teachers. Reading is an area with which many ELLs are challenged when placed within mainstream classrooms. Scaffolding has been identified as one of the best teaching practices for helping students read. ELL students in a local elementary school were struggling, and school personnel implemented scaffolding in an effort to address student needs. The purpose of this mixed methods study was to examine how personnel in one diversely populated school employed scaffolding to accommodate ELLs. Vygotsky's social constructivist theory informed the study. Research questions were designed to elicit the teachers' perceptions related to the use of scaffolding for ELLs and to examine the impact scaffolding had on ELLs reading performance. The perceptions of 14 out of 15 participating teachers were investigated via focus group interviews that were transcribed. Observation data were gathered to determine teachers' use of particular strategies. Hatch's method for coding and categorical analysis was used. Emerging themes included "background knowledge," "comprehension" and "evaluation." Participating teachers felt scaffolding strategies were crucial for building a solid foundation for ELL academic success. Pre and posttest scores in reading of 105 ELLs were analyzed using a paired samples t test. There were statistically significant gains in 13 of 15 performance indicators over the 3-month cycle of instruction. Implications for social change include strategies for classroom teachers and their administrators concerning scaffolding reading instruction with ELLs in order to help these students increase their reading performance levels. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]},
author = {McKenzie, Lolita D.},
interhash = {fe7d7642636e567b3cf5849b1f2a7e6a},
intrahash = {978f317bca6298ff7bd03edd736b8981},
journal = {ProQuest LLC},
month = {1},
title = {Scaffolding English Language Learners' Reading Performance},
uniqueid = {ED536391|eric},
year = 2011
}
@book{walker2010public,
address = {Cambridge},
editor = {Walker, Richard M.},
format = {book},
interhash = {b2f910aa6194f231a8a9224be1eb1346},
intrahash = {6cbad324d375158542d2a3263182c622},
isbn = {0521116635},
locations = {102599440},
partauthors = {Walker, Richard M.
Walker, Richard M. ( (Hrsg.))},
publisher = {Cambridge Univ. Press},
shortsubtitle = {: research directions},
shorttitle = {Public management and performance : research directions},
signatures = {25 Wir TT 6013},
subtitle = {research directions / ed. by Richard M. Walker ...},
title = {Public management and performance : research directions},
titlestatement = {ed. by Richard M. Walker ...},
uniqueid = {HEB228385296},
url = {http://scans.hebis.de/HEBCGI/show.pl?22838529_toc.pdf},
year = 2010
}
@book{vandooren2010performance,
address = {London [u.a.]},
author = {Van Dooren, Wouter and Bouckeart, Geert and Halligan, John},
format = {book},
interhash = {a0facf81dfc772301f997f935555520b},
intrahash = {89c2bd9f8c708658e15783e230992f32},
isbn = {0415371058},
locations = {102599459},
primaryauthor = {Van Dooren, Wouter},
publisher = {Routledge},
shorttitle = {Performance management in the public sector},
signatures = {25 pol K 6.4.2 PER},
subtitle = {Wouter van Dooren, Geert Bouckeart, John Halligan},
title = {Performance management in the public sector},
titlestatement = {Wouter van Dooren, Geert Bouckeart, John Halligan},
uniqueid = {HEB250947005},
url = {http://scans.hebis.de/HEBCGI/show.pl?25094700_aub.html},
year = 2010
}
@book{bouckaert2008managing,
address = {London [u.a.]},
author = {Bouckaert, Geert and Halligan, John},
format = {book},
interhash = {7242fce120582841c8f853f9b18e2420},
intrahash = {d9cc6d4f8939168ba902ae024999025d},
isbn = {9780415423953},
locations = {102599440},
primaryauthor = {Bouckaert, Geert},
publisher = {Routledge},
shortsubtitle = {: international comparisons},
shorttitle = {Managing performance : international comparisons},
signatures = {25 Wir TT 0352},
subtitle = {international comparisons / Geert Bouckaert and John Halligan},
title = {Managing performance : international comparisons},
titlestatement = {Geert Bouckaert and John Halligan},
uniqueid = {HEB199047804},
url = {http://scans.hebis.de/HEBCGI/show.pl?19904780_toc.pdf},
year = 2008
}
@inproceedings{cremonesi2010performance,
abstract = {In many commercial systems, the 'best bet' recommendations are shown, but the predicted rating values are not. This is usually referred to as a top-N recommendation task, where the goal of the recommender system is to find a few specific items which are supposed to be most appealing to the user. Common methodologies based on error metrics (such as RMSE) are not a natural fit for evaluating the top-N recommendation task. Rather, top-N performance can be directly measured by alternative methodologies based on accuracy metrics (such as precision/recall). An extensive evaluation of several state-of-the art recommender algorithms suggests that algorithms optimized for minimizing RMSE do not necessarily perform as expected in terms of top-N recommendation task. Results show that improvements in RMSE often do not translate into accuracy improvements. In particular, a naive non-personalized algorithm can outperform some common recommendation approaches and almost match the accuracy of sophisticated algorithms. Another finding is that the very few top popular items can skew the top-N performance. The analysis points out that when evaluating a recommender algorithm on the top-N recommendation task, the test set should be chosen carefully in order to not bias accuracy metrics towards non-personalized solutions. Finally, we offer practitioners new variants of two collaborative filtering algorithms that, regardless of their RMSE, significantly outperform other recommender algorithms in pursuing the top-N recommendation task, with offering additional practical advantages. This comes at surprise given the simplicity of these two methods.},
acmid = {1864721},
address = {New York, NY, USA},
author = {Cremonesi, Paolo and Koren, Yehuda and Turrin, Roberto},
booktitle = {Proceedings of the Fourth ACM Conference on Recommender Systems},
doi = {10.1145/1864708.1864721},
interhash = {04cb3373b65b03e03225f447250e7873},
intrahash = {aeab7f02942cfeb97ccc7ae0a1d60801},
isbn = {978-1-60558-906-0},
location = {Barcelona, Spain},
numpages = {8},
pages = {39--46},
publisher = {ACM},
series = {RecSys '10},
title = {Performance of Recommender Algorithms on Top-n Recommendation Tasks},
url = {http://doi.acm.org/10.1145/1864708.1864721},
year = 2010
}
@article{kuznetsov2002comparing,
author = {Kuznetsov, Sergei O. and Obiedkov, Sergei A.},
doi = {10.1080/09528130210164170},
eprint = {http://www.tandfonline.com/doi/pdf/10.1080/09528130210164170},
interhash = {8d58be3c9b7cec4767458436c70dc532},
intrahash = {582910e7a14a80469b2cb328fa0d9884},
journal = {Journal of Experimental & Theoretical Artificial Intelligence},
number = {2-3},
pages = {189-216},
title = {Comparing performance of algorithms for generating concept lattices},
url = {http://www.tandfonline.com/doi/abs/10.1080/09528130210164170},
volume = 14,
year = 2002
}
@book{Kleinertz.2001,
address = {Lohmar},
author = {Kleinertz, Jochen},
interhash = {146d67e7e18a015c65bfb54fe269328a},
intrahash = {debc64e399e39c1a2bcaff6a82372a15},
isbn = {3890128270},
price = {DM 89.00, EUR 46.00 (ab 1.1.02)},
publisher = {Eul},
series = {Reihe},
title = {Kennzahlenorientiertes Prozeß- und Kundenmanagement: Dargestellt am Beispiel der Konsumgüterindustrie},
volume = 70,
year = 2001
}
@article{1377474,
abstract = {Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance.},
address = {Tarrytown, NY, USA},
author = {Morrison, P. Jason},
doi = {http://dx.doi.org/10.1016/j.ipm.2007.12.010},
interhash = {41f042c033417e4dbb9e48b76521363f},
intrahash = {7e1dc3f52085093cc33d8fe931253b34},
issn = {0306-4573},
journal = {Inf. Process. Manage.},
number = 4,
pages = {1562--1579},
publisher = {Pergamon Press, Inc.},
title = {Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web},
url = {http://portal.acm.org/citation.cfm?id=1377474},
volume = 44,
year = 2008
}