The Gamut of E-Government Research, Design, and Implementation

2015 ◽  
pp. 1-20
Author(s):  
Kelvin Joseph Bwalya ◽  
Stephen M. Mutula
Keyword(s):  
Information Management ◽  
Mobile Devices ◽  
Research Design ◽  
Design Principles ◽  
Research And Practice ◽  
Design And Implementation ◽  
Government Project ◽  
Government Research ◽  
Contemporary Technology ◽  
Key Questions

E-Government research and practice has changed over the years to incorporate recent and contemporary technology developments and unique in evolving contextual environments. Further, the emerging conceptualization of service and applications interactions is slowly defining the gamut of e-Government research and practice. On another front, there has been a dynamic transition of e-Government being implemented on Web3.0 from the original Web2.0 platforms and advanced e-Government applications accessible on mobile devices i.e. ubiquitous or mobile government. Web3.0 presents a semantic platform allowing responsive man-machine interfaces and applications integration facilitating advanced information management possibilities. The chapter explores the contemporary issues in e-Government and articulates the pertinent factors that need to be interrogated for successful and sustainable e-Government development. Key questions of e-Government and the design principles that need to be taken into consideration in any e-Government project are explored.

The Gamut of E-Government Research, Design, and Implementation

2015 ◽  
pp. 49-68
Author(s):  
Kelvin Joseph Bwalya ◽  
Stephen M. Mutula
Keyword(s):  
Information Management ◽  
Mobile Devices ◽  
Research Design ◽  
Design Principles ◽  
Research And Practice ◽  
Design And Implementation ◽  
Government Project ◽  
Government Research ◽  
Contemporary Technology ◽  
Key Questions

E-Government research and practice has changed over the years to incorporate recent and contemporary technology developments and unique in evolving contextual environments. Further, the emerging conceptualization of service and applications interactions is slowly defining the gamut of e-Government research and practice. On another front, there has been a dynamic transition of e-Government being implemented on Web3.0 from the original Web2.0 platforms and advanced e-Government applications accessible on mobile devices i.e. ubiquitous or mobile government. Web3.0 presents a semantic platform allowing responsive man-machine interfaces and applications integration facilitating advanced information management possibilities. The chapter explores the contemporary issues in e-Government and articulates the pertinent factors that need to be interrogated for successful and sustainable e-Government development. Key questions of e-Government and the design principles that need to be taken into consideration in any e-Government project are explored.

XML Retrieval with Results Clustering on Android

2013 ◽  
Vol 756-759 ◽  
pp. 1300-1303
Author(s):  
Peng Fei Liu ◽  
Yan Hua Chen ◽  
Wen Jie Xie ◽  
Qiao Yi Hu
Keyword(s):  
Information Management ◽  
Mobile Devices ◽  
Clustering Algorithm ◽  
Data Sets ◽  
Mobile Platforms ◽  
Xml Retrieval ◽  
Design And Implementation ◽  
Clustering Model ◽  
Computing Platforms ◽  
Retrieval Engine

XML receives widely interests in data exchanging and information management on both traditional desktop computing platforms and rising mobile computing platforms. However, traditional XML retrieval does not work on mobile devices due to the mobile platforms limitations and diversities. Considering that XML retrieval on mobile devices will become increasingly popular, in this article, we have paid attention to the design and implementation of XML retrieval and results clustering model on the android platform, building on jaxen and dom4j, the XML parser and retrieval engine; furthermore, the K-means clustering algorithm. As an example of usage, we have tested the prototype on some data sets to the mobile scenario and illustrated the feasibility of the proposed approach. The model demonstrated in this article is available on the mobile XML Retrieval project website: http://code.google.com/p/mobilexmlretrieval/.

The Relationship between Item Context Characteristics and Student Performance: The Case of the 2006 and 2009 PISA Science Items

2015 ◽  
Vol 117 (1) ◽  
pp. 1-36
Author(s):  
Maria Araceli Ruiz-Primo ◽  
Min Li
Keyword(s):  
Empirical Evidence ◽  
Student Performance ◽  
Research Design ◽  
Exploratory Study ◽  
Test Design ◽  
Test Items ◽  
Pisa 2006 ◽  
The Relationship ◽  
Context Characteristics ◽  
Key Questions

Background A long-standing premise in test design is that contextualizing test items makes them concrete, less demanding, and more conducive to determining whether students can apply or transfer their knowledge. Purpose We assert that despite decades of study and experience, much remains to be learned about how to construct effective and fair test items with contexts. Too little is known about how item contexts can be appropriately constructed and used, and even less about the relationship between context characteristics and student performance. The exploratory study presented in this paper seeks to contribute to knowledge about test design and construction by focusing on this gap. Research Design We address two key questions: (a) What are the characteristics of contexts used in the PISA science items? and (b) What are the relationships between different context characteristics and student performance? We propose a profiling approach to capture information about six context dimensions: type of context, context role, complexity, resources, level of abstraction, and connectivity. To test the approach empirically we sampled a total of 52 science items from PISA 2006 and 2009. We describe the context characteristics of the items at two levels (named layers): general (testlet context) and specific (item context). Conclusion We provide empirical evidence about the relationships of these characteristics with student performance as measured by the international percentage of correct responses. We found that the dimension of context resources (e.g., pictures, drawings, photographs) for general contexts and level of abstractness for specific contexts are associated with student performance.

scholarly journals Educational Research and Practice

2021 ◽  
Author(s):  
Abiodun Christian Ibiloye
Keyword(s):  
Secondary Schools ◽  
Educational Research ◽  
Design Principles ◽  
Learning Resources ◽  
Learning Situation ◽  
Original Design ◽  
Research And Practice ◽  
Classroom Space ◽  
Lesson Delivery ◽  
Column Design

Teachers must innovatively bring the best out of learning situation, classroom space and available learning resources. However, very few and mostly not serious researches have been published on effects of seat arrangements on cognition, lesson delivery and classroom control. This article was aimed at highlighting the principles and clarify the context in which school proprietors and teachers (of both elementary and secondary schools) can choose or make innovations on three popular student seating arrangements: the traditional long rows,(with its variants, stadium, theatre , or angled row seats), the U-shape or horseshoe design and the paired module (two or three person per desk) row by column design. These are discussed: based on their original design principles, literature on their usage, the researcher’s students-centered experiments on their limitations. The arrangement of pair desk modules was shown to be the best in all situation, easy to readjust into pod-community like design and into u-shape when appropriate, given its flexibility, advantage in time before lesson, and with the optimum results.

scholarly journals Design and Implementation of a Student Archive Retrieval Method Based on Image Processing

2020 ◽  
Vol 34 (4) ◽  
pp. 487-494
Author(s):  
Lei An ◽  
Aihua Li
Keyword(s):  
Image Processing ◽  
Information Management ◽  
Image Feature ◽  
Similarity Measurement ◽  
Function Learning ◽  
Retrieval Method ◽  
Design And Implementation ◽  
Network Modules ◽  
Novel Method ◽  
Effectiveness And Efficiency

Compared with traditional manual archive organization and review, the student archive management system can manage massive student archives in a refined, regular, and scientific manner. The effectiveness and efficiency of the retrieval method directly bears on the utilization effect of student archives. Based on image processing, this paper puts forward a novel method for student archive retrieval, which greatly improves the classification, recognition, and information management of images in student archives during the retrieval. Firstly, a framework of student archive retrieval was introduced based on image processing. Next, a deep convolutional neural network (DCNN) was constructed for hash learning, and the functions of the three network modules were detailed, including image feature extraction, hash function learning, and similarity measurement. Finally, several indices were selected to evaluate the retrieval effect of student archives. The proposed method was proved effective and feasible through contrastive experiments. The research results provide a theoretical reference for the application of our method in other fields of image retrieval.

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