An analysis of research issues and exploration of future research directions for online classes in primary English education based on text mining

2021 ◽  
Vol 27 (2) ◽  
pp. 95-119
Author(s):  
Kyuhee Jo
Keyword(s):  
Text Mining ◽  
English Education ◽  
Future Research ◽  
Online Classes ◽  
Research Directions ◽  
Research Issues ◽  
Future Research Directions

Augmented Reality Research for Architecture and Design

2012 ◽  
pp. 225-237 ◽  
Author(s):  
Mi Jeong Kim ◽  
Xiangyu Wang ◽  
Xingquan Zhu ◽  
Shih-Chung Kang
Keyword(s):  
Augmented Reality ◽  
Emerging Technology ◽  
Future Research ◽  
Research Directions ◽  
Research Issues ◽  
The Past ◽  
Growing Body ◽  
Future Research Directions ◽  
Architecture And Design

A growing body of research has shown that Augmented Reality (AR) has the potential to contribute to interaction and visualization for architecture and design. While this emerging technology has only been developed for the past decade, numerous journals and conferences in architecture and design have published articles related to AR. This chapter reviews 44 articles on AR especially related to the architecture and design area that were published from 2005 to 2011. Further, this chapter discusses the representative AR research works in terms of four aspects: AR concept, AR implementation, AR evaluation, and AR industry adoption. The chapter draws conclusions about major findings, research issues, and future research directions through the review results. This chapter will be a basis for future research of AR in architecture and design areas.

Unit of Analysis in Digitally-Enabled Electronic Procurement Research

2020 ◽  
pp. 83-103
Author(s):  
Md Mahbubur Rahim ◽  
Maryam Jabberzadeh ◽  
Nergiz Ilhan
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Critical Issue ◽  
Future Research ◽  
Research Directions ◽  
Research Issues ◽  
Unit Of Analysis ◽  
Electronic Procurement ◽  
Future Research Directions ◽  
Methodological Concern

E-procurement systems that have been in place for over a decade have begun incorporating digital tools like big data, cloud computing, internet of things, and data mining. Hence, there exists a rich literature on earlier e-procurement systems and advanced digitally-enabled e-procurement systems. Existing literature on these systems addresses many research issues (e.g., adoption) associated with e-procurement. However, one critical issue that has so far received no rigorous attention is about “unit of analysis,” a methodological concern of importance, for e-procurement research context. Hence, the aim of this chapter is twofold: 1) to discuss how the notion of “unit of analysis” has been conceptualised in the e-procurement literature and 2) to discuss how its use has been justified by e-procurement scholars to address the research issues under investigation. Finally, the chapter provides several interesting findings and outlines future research directions.

scholarly journals Data Placement in Era of Cloud Computing: a Survey, Taxonomy and Open Research Issues

2019 ◽  
Vol 20 (2) ◽  
pp. 377-398 ◽  
Author(s):  
Avinash Kaur ◽  
Pooja Gupta ◽  
Manpreet Singh ◽  
Anand Nayyar
Keyword(s):  
Cloud Computing ◽  
Workflow Management ◽  
Data Placement ◽  
Future Research ◽  
Research Directions ◽  
Research Issues ◽  
Cloud Computing Environment ◽  
Factors Affecting ◽  
Complete Survey ◽  
Future Research Directions

In cloud computing, data placement is a critical operation performed as part of workflow management and aims to find the best physical machine to place the data. It has direct impact on performance, cost and execution time of workflows. Number of data placement algorithms is designed in cloud computing environment that aimed to improve various factors affecting the workflows and their execution including the movement of data among data centers. This paper provides a complete survey and analyses of existing data placement schemes proposed in literature for cloud computing. Further, it classifies data placement schemes based on their assess capabilities and objectives. Further objectives and properties of data placement schemes are compared. Finally future research directions are provided with concluding remarks.

Integrating the Split/Analyze/Meta-Analyze (SAM) Approach and a Multilevel Framework to Advance Big Data Research in Psychology

2018 ◽  
Vol 226 (4) ◽  
pp. 274-283 ◽  
Author(s):  
Yucheng Eason Zhang ◽  
Siqi Liu ◽  
Shan Xu ◽  
Miles M. Yang ◽  
Jian Zhang
Keyword(s):  
Big Data ◽  
Computer Science ◽  
Analytical Techniques ◽  
Future Research ◽  
Firm Level ◽  
Research Directions ◽  
Research Issues ◽  
Country Level ◽  
Multilevel Research ◽  
Future Research Directions

Abstract. Though big data research has undergone dramatic developments in recent decades, it has mainly been applied in disciplines such as computer science and business. Psychology research that applies big data to examine research issues in psychology is largely lacking. One of the major challenges regarding the use of big data in psychology is that many researchers in the field may not have sufficient knowledge of big data analytical techniques that are rooted in computer science. This paper integrates the split/analyze/meta-analyze (SAM) approach and a multilevel framework to illustrate how to use the SAM approach to address multilevel research questions with big data. Specifically, we first introduce the SAM approach and then illustrate how to implement this to integrate two big datasets at the firm level and country level. Finally, we discuss theoretical and practical implications, proposing future research directions for psychology scholars.

A Survey of Software Architecture Approaches

2009 ◽  
pp. 256-288
Author(s):  
Kendra M.L. Cooper ◽  
Lirong Dai ◽  
Renee Steiner ◽  
Rym Zalila Mili
Keyword(s):  
Software Architecture ◽  
Future Research ◽  
Research Directions ◽  
Research Issues ◽  
Object Oriented Design ◽  
Structured Design ◽  
Decomposition Strategies ◽  
History Of ◽  
Future Research Directions ◽  
Description Languages

This chapter presents a survey of software architecture approaches. It is intended for a broad audience of students, practitioners, and researchers, in particular those who may be new to the area of software architecture. The chapter begins with a brief history of software architecture as a discipline. This is followed by a survey of established and emerging software architecture approaches. In the section on established approaches software architecture concepts are presented, which include software architecture views, decomposition strategies, description languages, and patterns; overviews of two established approaches (structured design and object-oriented design) are provided. In the section on emerging approaches, agent-, aspect-, and component-oriented approaches are included. For each of these approaches an overview, survey of the literature in the area, and a discussion are presented. The discussion includes current research issues in the community. The conclusions provide a summary of the chapter; future research directions follow.

Legacy to SOA Evolution

2012 ◽  
pp. 40-70 ◽  
Author(s):  
Ravi Khadka ◽  
Amir Saeidi ◽  
Andrei Idu ◽  
Jurriaan Hage ◽  
Slinger Jansen
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Evaluation Framework ◽  
Future Research ◽  
Comprehensive Overview ◽  
Research Directions ◽  
Research Issues ◽  
Methods And Techniques ◽  
Future Research Directions ◽  
Large Research

In the last decade, there have been significant developments in legacy to SOA evolution, and that has resulted in a large research body of which there exists no comprehensive overview. This chapter provides a historic overview, focusing on the methods and techniques used in legacy to SOA evolution. The authors conducted a systematic literature review to collect legacy to SOA evolution approaches reported from 2000 to August 2011. To this end, 121 primary studies were found and evaluated using an evaluation framework, which was developed from three evolution and modernization methods widely used in the software re-engineering domain. The evaluation constitutes the inventory of current research approaches and methods and techniques used in legacy to SOA evolution. The result of the SLR also identifies current research issues in legacy to SOA evolution and provides future research directions to address those research issues.

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