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The Underpinning Science of Sustainable Industry Improvement and Innovation

Timms, Janice; Clark, Richard A. - In: AFBM Journal 05 (2008) 1/2

In this paper the science underpinning the Beef Profit Partnerships project methodology is explained. The science is organised around headings associated with the six key elements of the project system model which was outlined in Paper 1 and is described in more detail in Paper 4. The headings...

Persistent link: https://www.econbiz.de/10011142743

The Psychological and Structural Determinants of Technology Integration in Organizations: An Empirical Study

Almeida, Filipe; Sobral, Filipe - In: Management Research: Journal of the Iberoamerican … 7 (2009) 1, pp. 61-74

The integration of information and communication technologies in a business context is currently an unquestionable strategic demand; however, companies do not always reveal identical information technology (IT) adoption levels. This paper addresses the manager’s attitude toward technology and...

Persistent link: https://www.econbiz.de/10014950068

Digital Toolkits for Teachers

Hofer, Mark; Swan, Kathy - In: Social Studies Research and Practice 5 (2010) 1, pp. 176-183

Challenging students to create digital documentary films in history courses engages students in both mastery of content knowledge and higher order thinking experiences. Teachers considering this type of work must contend with the focus on standards-based testing, a wide breadth of content to be...

Persistent link: https://www.econbiz.de/10015027441

Supersizing Social Studies Through the Use of Web 2.0 Technologies

Holcomb, Lori; Beal, Candy; Lee, John K. - In: Social Studies Research and Practice 6 (2011) 3, pp. 120-129

This article seeks to demonstrate how social studies has come to be an all-inclusive subject: it has become supersized. When supported by Web 2.0 technology, social studies enables students to address multifaceted problems that require the deep understanding necessary to arrive at both wise and...

Persistent link: https://www.econbiz.de/10015027745

Needing TPACK without Knowing It: Integrating Educational Technology in Social Studies

Byker, Erik Jon - In: Social Studies Research and Practice 9 (2014) 3, pp. 106-117

Preparing future elementary teachers to connect social studies content and skills with technology necessitates the integration of technology into teacher preparation methods courses. Such integration hinges on the identification of pre-service teachers’ level of Technological, Pedagogical, and...

Persistent link: https://www.econbiz.de/10015027780

Paradigm flip? Investigating technology-integrated history pedagogies

DeSantis, Josh; Boyd, Ryan; Marks, Kyle; Putsch, Jake; … - In: Social Studies Research and Practice 12 (2017) 3, pp. 258-279

Purpose Successful technology integration into the teaching of social studies is imperative in the twenty-first century classroom. This study sought to answer the following questions: do synchronous and asynchronous technology integration increase a student’s understanding of social studies...

Persistent link: https://www.econbiz.de/10015027871

Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops

Corrales, David Camilo; Casas, Apolinar Figueroa; … - In: International Journal of Agricultural and Environmental … 7 (2016) 3, pp. 41-59

improve the outcomes, making use of techniques that combine classifiers named ensemble methods. Therefore they proposed two … Support Vector Regression. Their ensemble approach outperformed the classical approaches as simple classifiers and ensemble …

Persistent link: https://www.econbiz.de/10012042756

A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification

Alshdaifat, Esra'a; Coenen, Frans; Dures, Keith - In: International Journal of Data Warehousing and Mining (IJDWM) 13 (2017) 3, pp. 73-90

In this paper, a hierarchical ensemble classification approach that utilizes a Directed Acyclic Graph (DAG) structure …

Persistent link: https://www.econbiz.de/10012044232

Genetic Diagnosis of Cancer by Evolutionary Fuzzy-Rough based Neural-Network Ensemble

Dash, Sujata; Patra, Bichitrananda - In: International Journal of Knowledge Discovery in … 6 (2016) 1, pp. 1-16

-rough feature selection model with an adaptive neural net ensemble. Fuzzy-rough method deals with uncertainty and impreciseness of … of the hybrid-FRGSNN model is evaluated by the proposed neural net ensemble learning algorithm. Again to prove the … learning capability of ensemble algorithm, performance of the component classifiers pairing with FR, GSNN and FRGSNN are …

Persistent link: https://www.econbiz.de/10012046193

Observations, dynamics and predictability of the mesoscale convective vortex event of 10-13 June 2003

Zhang, Fuqing (contributor) - 2003

performance in its simulation of this MCV event. Finally, an ensemble of 20 forecasts using mesoscale model MM5 with horizontal … examination of the ensemble spread as well as the correlations between different forecast variables among ensemble members. It is … shown that after MCV development, the ensemble mean performs poorly while individual ensemble members with good forecasts of …

Persistent link: https://www.econbiz.de/10009464932