Gender, Tastes for Tech and for the Tech Work Environment? Large-Scale Field Experimental Evidence from an Internet of Things Platform

2019 ◽  
Author(s):  
Kevin Boudreau ◽  
Nilam Kaushik
Keyword(s):  
Internet Of Things ◽  
Experimental Evidence ◽  
Work Environment ◽  
Large Scale ◽  
Scale Field ◽  
Large Scale Field

scholarly journals The Role of Mindset in Education : A Large-Scale Field Experiment in Disadvantaged Schools

2021 ◽  
Author(s):  
Elise Huillery ◽  
Adrien Bouguen ◽  
Axelle Charpentier ◽  
Yann Algan ◽  
Coralie Chevallier
Keyword(s):  
Field Experiment ◽  
Experimental Evidence ◽  
Large Scale ◽  
Cost Effective ◽  
Growth Mindset ◽  
Disadvantaged Schools ◽  
Scale Field ◽  
Large Scale Field ◽  
The Impact

This article provides experimental evidence of the impact of a four-year inter-vention aimed at developing students’ growth mindset and internal locus ofcontrol in disadvantaged middle schools. We find a 0.07 standard deviationincrease in GPA, associated with a change in students’ mindset, improved be-havior as reported by teachers and school registers, and higher educational andprofessional aspirations. International empirical benchmarks reveal that theintervention is at least ten times more cost-effective than the typical educa-tional intervention. However, while reducing between-school inequality whentargeted to disadvantaged schools, the program benefits less to more fragilestudents, therefore increasing within-school inequality.

Biodata response elaboration: A large-scale field experiment

2010 ◽  
Author(s):  
Julia Levashina ◽  
Frederick P. Morgeson ◽  
Michael A. Campion
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Scale Field ◽  
Large Scale Field

Hybrid Combination of GIS,GPS,WSN and GPRS Technology in Modern Digital Agriculture Application

2010 ◽  
Vol 108-111 ◽  
pp. 1158-1163 ◽  
Author(s):  
Peng Cheng Nie ◽  
Di Wu ◽  
Weiong Zhang ◽  
Yan Yang ◽  
Yong He
Keyword(s):  
Large Scale ◽  
Field Application ◽  
Wireless Sensor ◽  
Information Collection ◽  
Scale Field ◽  
Large Scale Field ◽  
Field Information ◽  
Intelligent Management ◽  
Digital Agriculture ◽  
And Control

In order to improve the information management of the modern digital agriculture, combined several modern digital agriculture technologies, namely wireless sensor network (WSN), global positioning system (GPS), geographic information system (GIS) and general packet radio service (GPRS), and applied them to the information collection and intelligent control process of the modern digital agriculture. Combining the advantage of the local multi-channel information collection and the low-power wireless transmission of WSN, the stable and low cost long-distance communication and data transmission ability of GPRS, the high-precision positioning technology of the DGPS positioning and the large-scale field information layer-management technology of GIS, such a hybrid technology combination is applied to the large-scale field information and intelligent management. In this study, wireless sensor network routing nodes are disposed in the sub-area of field. These nodes have GPS receiver modules and the electric control mechanism, and are relative positioned by GPS. They can real-time monitor the field information and control the equipment for the field application. When the GPS position information and other collected field information are measured, the information can be remotely transmitted to PC by GPRS. Then PC can upload the information to the GIS management software. All the field information can be classified into different layers in GIS and shown on the GIS map based on their GPS position. Moreover, we have developed remote control software based on GIS. It can send the control commands through GPRS to the nodes which have control modules; and then we can real-time manage and control the field application. In conclusion, the unattended automatic wireless intelligent technology for the field information collection and control can effectively utilize hardware resources, improve the field information intelligent management and reduce the information and intelligent cost.

Large scale field tests on geogrid-reinforced granular fill underlain by clay soil

2013 ◽  
Vol 38 ◽  
pp. 1-15 ◽  
Author(s):  
Ahmet Demir ◽  
Mustafa Laman ◽  
Abdulazim Yildiz ◽  
Murat Ornek
Keyword(s):  
Large Scale ◽  
Clay Soil ◽  
Field Tests ◽  
Scale Field ◽  
Granular Fill ◽  
Large Scale Field

The Importance of Similarity: How Gender Congruence Matters for the Impact of Leadership Training

2021 ◽  
pp. 009539972110642
Author(s):  
Trine H. Fjendbo ◽  
Christian B. Jacobsen ◽  
Seung-Ho An
Keyword(s):  
Leadership Training ◽  
Large Scale ◽  
Leadership Behaviors ◽  
Leadership Behavior ◽  
Female Gender ◽  
Perceived Leadership ◽  
Scale Field ◽  
Before And After ◽  
Large Scale Field ◽  
The Impact

Leadership training is key to promoting more active leadership, but the effects of leadership training can depend on the gender context. Gender congruence between manager and employee can affect how the manager employs leadership behaviors adapted from training and how employees perceive leadership behavior. Quantitative data on 474 managers’ 4,833 employees before and after a large-scale field experiment with leadership training enable us to examine changes in employee-perceived leadership following training. The results show that gender congruence between manager and employee is associated with stronger leadership training effects on employee-perceived leadership behaviors. Female gender congruence shows the most pronounced effects.

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