The development and evaluation of exercises for group response to word meaning for increasing the speed of word recognition in grade I

Thesis (Ed.M.)--Boston Universit

The role of the classroom teacher in a speech improvement program.

Thesis (Ed.M.)--Boston Universit

Comprehension following silent and oral reading in grades two and three

Thesis (Ed.M.)--Boston Universit

Comprehension following silent and oral reading in grades two and three

Thesis (Ed.M.)--Boston Universit

Housing Market Crash Prediction Using Machine Learning and Historical Data

The 2008 housing crisis was caused by faulty banking policies and the use of credit derivatives of mortgages for investment purposes. In this project, we look into datasets that are the markers to a typical housing crisis. Using those data sets we build three machine learning techniques which are, Linear regression, Hidden Markov Model, and Long Short-Term Memory. After building the model we did a comparative study to show the prediction done by each model. The linear regression model did not predict a housing crisis, instead, it showed that house prices would be rising steadily and the R-squared score of the model is 0.76. The Hidden Markov Model predicted a fall in the house prices and the R-squared score for this model is 0.706. Lastly, the Long Short-Term Memory showed that the house price would fall briefly but would stabilize after that. Also, fall is not as sharp as what was predicted by the HMM model. The R- squared scored for this model is 0.9, which is the highest among all other models. Although the R-squared score doesn’t say how accurate a model it definitely says how closely a model fits the data. From our model R-square score the model that best fits the data was LSTM. As the dataset used in all the models are the same therefore it is safe to say the prediction made by LSTM is better than the other ones

Spartan Daily, January 26, 1950

Volume 38, Issue 67https://scholarworks.sjsu.edu/spartandaily/11333/thumbnail.jp

Integral Management: Knowledge on the MER Model in Postgraduate Master's Study Programs

In the contribution we represent how the knowledge on the MER Model of integral management is built in the master's study programs on the case of the Faculty of Economics and Business at the University of Maribor. The MER Model of integral management has been developing at the research Institute MER Eurocentre in Slovenia and is the result of the cooperation of researchers from different countries. The research work on the development of MER Model started in 1992; the first attempts of building the knowledge on the MER Model dated back to 1994. Based on the acquired experiences of the past decade more systematical incorporation of the MER Model in the new study programs (so called Bologna study programs) was possible after 2004.management, integral management, management models, study programs, MER Model of integral management

Bolivia Or Bust: Cila Memories

The first tentative talks about the possibility of a teaching mission to Bolivia began in June of 1998 at the annual conference of the Association of Christian Librarians. We had a semi-formal meeting to discuss the possibility at the 1999 annual conference-nearly a year before it would actually happen-at a meeting of the Commission for International Library Assistance (CILA), a ministry of the Association. The mission of CILA is to provide support for libraries in developing countries where there is a lack of formal training or financial resources. It does so by serving as an umbrella organization to coordinate requests and match them up with volunteers willing to spend some time abroad