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Williams College

EducationWilliamstown, Massachusetts, United States
About: Williams College is a education organization based out in Williamstown, Massachusetts, United States. It is known for research contribution in the topics: Population & Politics. The organization has 2257 authors who have published 5015 publications receiving 213160 citations. The organization is also known as: Williams.


Papers
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Journal ArticleDOI
Nate Kornell1
TL;DR: These findings may give comfort to educators who worry that asking a question or giving a test, on which students inevitably make mistakes, impairs learning if feedback is not immediate, and suggest that there is a consensus in the literature thus far: Questions with rich semantic content enhance subsequent learning even when feedback is delayed, but less meaningful questions without an intrinsic answer enhance learning only when Feedback is immediate.
Abstract: Attempting to retrieve information from memory enhances subsequent learning even if the retrieval attempt is unsuccessful. Recent evidence suggests that this benefit materializes only if subsequent study occurs immediately after the retrieval attempt. Previous studies have prompted retrieval using a cue (e.g., whale-???) that has no intrinsic answer. Experiment 1 replicated prior word pair studies, but in Experiment 2, when participants learned meaningful trivia questions, testing enhanced learning even when subsequent study was delayed. Even in Experiment 3, when subsequent study was delayed by up to 24 hr, tests enhanced learning on a final test another 24 hr later. These findings may give comfort to educators who worry that asking a question or giving a test, on which students inevitably make mistakes, impairs learning if feedback is not immediate. They also suggest that there is a consensus in the literature thus far: Questions with rich semantic content enhance subsequent learning even when feedback is delayed, but less meaningful questions without an intrinsic answer enhance learning only when feedback is immediate. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

67 citations

Journal ArticleDOI
TL;DR: In this article, the authors place forestry in the larger context of rural development and therefore in the current debates on poverty and inequality, and propose four principle interlinked changes are needed: 1) Improve the recognition of the fundamental role of natural resources in economic growth of poor countries and poor populations and in the development of democracies and good governance; 2) Better distribute resource rights, both property and procedural, giving the poor greater security, access and control; 3) Develop and implement frameworks, regulations and enforcement to assure that natural resource markets work for the poor; 4) Redefine
Abstract: This paper places forestry in the larger context of rural development and therefore in the current debates on poverty and inequality. While Africa has high levels of natural and human capital it is the poorest and most unequal region in the world. In order for natural assets to contribute to environmental, economic and empowerment outcomes four principle interlinked changes are needed: 1) Improve the recognition of the fundamental role of natural resources in economic growth of poor countries and poor populations and in the development of democracies and good governance; 2) Better distribute resource rights, both property and procedural, giving the poor greater security, access and control; 3) Develop and implement frameworks, regulations and enforcement to assure that natural resource markets work for the poor; 4) Redefine the role of science and technology, and associated planning and institutions.

67 citations

Proceedings ArticleDOI
14 Nov 2011
TL;DR: It is claimed that only a few "intelligent" design changes are needed to support evolvability, and these follow directly from the well-known engineering principles of indirection, modularity, and extensibility.
Abstract: What does it take for an Internet architecture to be evolvable? Despite our ongoing frustration with today's rigid IP-based architecture and the research community's extensive research on clean-slate designs, it remains unclear how to best design for architectural evolvability. We argue here that evolvability is far from mysterious. In fact, we claim that only a few "intelligent" design changes are needed to support evolvability. While these changes are definitely nonincremental (i.e., cannot be deployed in an incremental fashion starting with today's architecture), they follow directly from the well-known engineering principles of indirection, modularity, and extensibility.

67 citations

Journal ArticleDOI
01 Feb 2010-Geology
TL;DR: In this paper, a spatial correlation between lavaka abundance and the frequency of seismic events was found, indicating that most lavakas occur in or near areas where recorded earthquakes (magnitude 0.5-5.6) are most frequent.
Abstract: Erosion via lavaka formation is widespread in Madagascar, but controls on why and where lavakas occur are not understood. Geographic information system analysis reveals a spatial correlation between lavaka abundance and the frequency of seismic events: most lavakas occur in or near areas where recorded earthquakes (magnitude 0.5–5.6) are most frequent. This correlation explains the unevenness of lavaka distribution in the Malagasy highlands, and highlights the importance of natural factors in lavaka formation. Seismic activity appears to precondition the landscape to lavaka formation, although the mechanism by which this happens is not yet known. Recognizing the connection, however, allows us to pinpoint areas prone to future lavaka development in zones of active deforestation. Areas with the greatest frequency of seismic events are most at risk for high-density lavaka development.

67 citations


Authors

Showing all 2291 results

NameH-indexPapersCitations
Alfred Kröner10137431665
Gabriel B. Brammer9133430335
William M. Tierney8442324235
Larry L. Jacoby7716625631
David P. DiVincenzo7128240038
James T. Carlton7019721690
Robert K. Merton6719074002
Allen Taylor6322216589
John A. Smolin6315024657
Qing Wang6254817215
Neal I. Lindeman6221731462
Michael I. Norton6027317597
Charles H. Bennett6011767435
Brian D. Fields5725063673
Hans C. Oettgen5712410056
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
202271
2021209
2020237
2019216
2018190