1,714 research outputs found
Author Deborah Heffernan of Bridgton describes how secret plans to have a Queen
No full textAuthor Deborah Heffernan of Bridgton describes how secret plans to have a Queen Anne bonnet-top high boy built for her husband Jack Heffernan turned into a community affair, while yet remaining a secret. The actual design and construction of the high boy fell on Bob Dunning, with the help cabinetmaker Greg Marston. Others involved on the project included Mary and Don Johnson and their sons Tom and Eric. With descriptive details of elements included in the highboy
Mary E. Heffernan Riggs
No full textPhotograph shows Mary Heffernan (Mrs. Hiram) Riggs (1821-1903), resident of Corpus Christi, Texas, and author of the only narrative account of the 1835 Heffernan massacre (Bee County, Texas).Inscription on back of original reads:""To Josie from Grandma.
Pamela Heffernan (Class of 1981)
No full textTrustee and class of 1981. Judge Heffernan was a Utah Second Judicial District judge for Weber County, Utah for the Ogden District Court. She retired in 2010
“Hey Skinny, Your Ribs Are Showing”: The Fitness Industry of Charles Atlas and Masculinity in Early Twentieth-Century United States
No full textAbout the author
Conor Heffernan is a senior of History and Political Science at Trinity College in Dublin, Ireland. Conor has a keen interest in health and fitness and American culture in the 20th century. He hopes to further his studies into the history of physical culture in the future
Archive der Wissenschaften: Die Amerikanistin Miriam M. Heffernan. Eine Personalakte gibt Auskunft
No full textHarders L. Archive der Wissenschaften: Die Amerikanistin Miriam M. Heffernan. Eine Personalakte gibt Auskunft. L’Homme. 2013;24(1):119-123
ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge
No full textRelease of the dataset and code used to analyze the data collected for Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms. This is a project for the ASSISTments X team submitted to the XPRIZE Digital Learning Challenge.
Citation
@misc{Haim_Cheng_Prihar_Heffernan_Heffernan_2022,
title={Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms},
url={osf.io/zcbjx},
DOI={10.17605/OSF.IO/ZCBJX},
publisher={OSF},
author={Haim, Aaron and Cheng, Li and Prihar, Ethan and Heffernan, Neil T, III and Heffernan, Cristina},
year={2022},
month={Aug}
}We would like to thank the NSF (e.g., 2118725, 2118904, 1950683, 1917808, 1931523, 1940236, 1917713, 1903304, 1822830, 1759229, 1724889, 1636782, & 1535428), IES (e.g., R305N210049, R305D210031, R305A170137, R305A170243, R305A180401, & R305A120125), GAANN (e.g., P200A180088 & P200A150306), EIR (U411B190024 & S411B210024), ONR (N00014-18-1-2768), and Schmidt Futures. None of the opinions expressed here are that of the funders. We are funded under an NHI grant (R44GM146483) with Teachly as a SBIR
IMPACTS OF THE FARM FINANCIAL CRISIS: RESULTS OF THE 1989 REGIONAL FARM SURVEY FOR MINNESOTA
No full textAgricultural Finance,
DELIVERING ZERO CARBON HOMES AND SUSTAINABLE COMMUNITIES: THE POTENTIAL OF GROUP SELF-BUILD HOUSING IN ENGLAND By
No full textThis copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without the author's prior consent. i Delivering zero carbon homes and sustainable communities: the potential of group self-build housing in England Emma Elizabeth Heffernan Concerns about anthropogenic climate change, fossil fuel depletion, energy security, and damage to our ecosystems are acting as a catalyst for action in many sectors of industry and society. One key sector which has been identified as crucial for addressing these issues is the building sector. Therefore, in the UK context, with the aim of reducing carbon dioxide emissions, the requirements for new homes in terms of their energy efficiency are becoming ever more stringent, leading to the introduction of the zero carbon homes standard from 2016. Alongside this, broader priorities for sustainable development have been established in th
Using Fine-Grained Skill Models to Fit Student Performance with Bayesian Networks
No full textAbstract. The ASSISTment online tutoring system was used by over 600 students during the school year [2004][2005]. Each student used the system as part of their math classes 1-2 times a month, doing on average over 100+ state-test items, and getting tutored on the ones they got incorrect. The ASSISTment system has 4 different skill models, each at different grain-size involving 1, 5, 39 or 106 skills. Our goal in the paper is to develop a model that will predict whether a student will get correct a given item. We compared the performance of these models on their ability to predict a student state test score, after the state test was "tagged" with skills for the 4 models. The best fitting model was the 39 skill model, suggesting that using finer-grained skills models is useful to a point. This result is pretty much the same as that which was achieved by Feng, Heffernan, Mani, & Heffernan (in press), who were working simultaneously, but using mized-effect models instead of Bayes networks. We discuss reasons why the finest-grained model might not have been able to predict the data the best. Implications for large scale testing are discussed
33 Experiments : Precise unbiased estimation in randomized experiments using auxiliary observational data
No full textThis Data Set includes data from two places. The first 22 experiments from "Selent, D., Patikorn, T., & Heffernan, N. (2016, April). Assistments dataset from multiple randomized controlled experiments. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 181-184). "
The Second data set has not been published before and refer to them as Study 2 in the paper and as "The 11 additional experiments". We also include extensive log data. There two data sets were brought together for a paper: "Gagnon-Bartsch, J. A., A. C. Sales*, J. A., Wu, E., Botelho, A. F., Erickson, J. A., Miratrix, L. W. & Heffernan, N. T. (Accepted 2023) Precise unbiased estimation in randomized experiments using auxiliary observational data. Journal of Casual Inference.
- …
