scholarly journals Automatic Detection of Significant Variation from Designed Intent Utilizing Survey Data. CIAMS: Construction Information and Management System

2000 ◽  
Author(s):  
DeWitt T. Latimer ◽  
Ogbemi Hammond ◽  
Richard Hallon ◽  
Christian T Stidsen ◽  
Sze-Lok Lam
Keyword(s):  
Survey Data ◽  
Management System ◽  
Significant Variation ◽  
Automatic Detection

Preparing Faculty for a Learning Management System Transition

2010 ◽  
pp. 105-119 ◽  
Author(s):  
Danilo M. Baylen ◽  
Mary Hancock ◽  
Carol M. Mullen ◽  
Mary Angela Coleman
Keyword(s):  
Survey Data ◽  
Management System ◽  
Learning Management System ◽  
Faculty Members ◽  
System Transition ◽  
Need For Support ◽  
Learning Management ◽  
Prior Experiences ◽  
The Impact ◽  
New System

This chapter focuses on the impact of a change in the use of a learning management system (LMS) at one university. Survey data captured faculty members’ viewpoints on the transition from one LMS to another, specifically, their dispositions toward technology and change, preparation and prior experiences, need for support, and access to available resources. The inquiry focuses on potential activities and infrastructures that can be established to support the faculty, as LMS users, when a new system is introduced. Also, it explores the types of knowledge, skills, and dispositions that faculty may have or need to effectively and efficiently use the new system to support their work. Finally, strategies are recommended to enhance faculty members’ dispositions, preparation, support and access to resources.

scholarly journals Examining the use of a Personalized Learning Management System (PLMS) to Increase Student Engaagement in High School Physics

2018 ◽  
Author(s):  
Meera Singh
Keyword(s):  
Student Engagement ◽  
Learning Styles ◽  
Survey Data ◽  
Learning Style ◽  
Management System ◽  
Learning Management System ◽  
Project Based Learning ◽  
Digital Learning ◽  
Learning Management ◽  
K 12

Motivated by the drive to impact the quality and diversity of students applying to engineering schools, this study evaluates a component of a Personalized Digital Learning Management System (PLMS) that has been designed to increase student engagement in K-12 Physics. In particular, a non-traditional project based learning module, with roots in game-based learning, has been developed and executed in grade 8 science classrooms. Pre and post survey data that includes attitudinal markers, learning style profiles, gender, and assessments of knowledge gained, are analyzed and presented. Results suggest that students who are more interested in science, physics and engineering tend to have learning styles that require programming that is more active and less sequential than traditionally delivered. This is particularly the case for female students. The non-traditional game based project acted to provide these types of learning opportunities and post survey data showed a very high level of student engagement. Results obtained will be used to further refine the PLMS.

scholarly journals The Dark Energy Survey data management system

2008 ◽  
Author(s):  
Joseph J. Mohr ◽  
Darren Adams ◽  
Wayne Barkhouse ◽  
Cristina Beldica ◽  
Emmanuel Bertin ◽  
...  
Keyword(s):  
Dark Energy ◽  
Data Management ◽  
Survey Data ◽  
Management System ◽  
Data Management System ◽  
Dark Energy Survey ◽  
Energy Survey

scholarly journals Automatic Detection of Expanding HiShells in the Canadian Galactic Plane Survey Data

2007 ◽  
Vol 661 (1) ◽  
pp. 285-303 ◽  
Author(s):  
Anik Daigle ◽  
Gilles Joncas ◽  
Marc Parizeau
Keyword(s):  
Survey Data ◽  
Galactic Plane ◽  
Automatic Detection

scholarly journals Household expenditure patterns in Kuwait

2020 ◽  
Vol 2 (2) ◽  
pp. 1-18
Author(s):  
Mohammad Alalo ◽  
Abdullah Aljabber ◽  
Adel Naseeb
Keyword(s):  
Survey Data ◽  
Significant Variation ◽  
Estimation Method ◽  
Household Expenditure ◽  
Expenditure Patterns ◽  
The Past ◽  
Expenditure Survey ◽  
Household Expenditure Survey ◽  
Prominent Component ◽  
Two Step Estimation

Household expenditure is the second prominent component of GDP for Kuwait, consisting of 43% GDP, and it has been moderately growing for the past decade. It is essential to understand the nature of household expenditure, a fundamental macroeconomic driver with immense significance for policymaking. This paper utilises the latest Kuwait Household Expenditure Survey data to study household expenditure patterns in Kuwait. It examines and compares the variation of household expenditure patterns for nationals (Kuwaitis) and expatriate households over nine different major commodity groups. The paper investigates the patterns of household expenditure and the response of their characteristics on the level of expenditure by employing Heckman two-step estimation method. The results suggest that different factors affect the probability of consuming a commodity and the level of expenditure between the two household groups. Kuwaiti’s expenditure is more responsive to food, housing, communication and recreation commodities and less responsive to clothing, health, transportation and restaurants than expatriates. In general, there is a significant variation of expenditure patterns across all commodities between the two household groups.

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