scholarly journals Mass Collaboration and Learning: Opportunities, Challenges, and Influential Factors

2019 ◽  
Vol 9 (13) ◽  
pp. 2620 ◽  
Author(s):  
Majid Zamiri ◽  
Luis M. Camarinha-Matos
Keyword(s):  
Collaborative Learning ◽  
Success Factors ◽  
Virtual Communities ◽  
Organizational Structures ◽  
Influential Factors ◽  
Significant Shift ◽  
Mass Collaboration ◽  
Large Numbers ◽  
Learning Techniques

Learning ecosystems can benefit from mass collaboration where large numbers of minds collectively drive intellectual efforts to learn in the form of knowledge building and sharing. Mass collaborative learning represents a significant shift away from traditional teacher-centered approach towards a self-directed model in virtual communities in which contributing members take on creative roles to maximize their learning and that of their peers. In order to design, implement, and exploit such a learning approach, influencing constituents should be identified, and appropriate conditions need to be provided. This study aims to systematically review recent literature with a view to identifying relevant affecting constituents and success factors for mass collaboration and learning—namely, the type of organizational structures, collaborative learning techniques, adopted technologies, and methods for evaluating the quality of both members’ performance, and co-created knowledge. Therefore, 100 related papers are collected, and their findings are critically evaluated. The results of evaluation are then addressed and discussed.

Critical assessment of success factors of mass collaboration: a case of Jordanian retail companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amer Hatamleh ◽  
Anas Ghassan Kanaan
Keyword(s):  
Collaborative Learning ◽  
Success Factors ◽  
Organizational Context ◽  
Statistical Significance ◽  
Critical Assessment ◽  
Retail Sector ◽  
Survey Questionnaire ◽  
Content Type ◽  
Mass Collaboration

Purpose This study aims to carry out the critical assessment of success factors of mass collaboration in the context of retail companies operating in Jordan. Design/methodology/approach This study is quantitative in nature in which data has been gathered from the primary sources of information through a survey questionnaire. The employees and managers from the retail sector of Jordan have been considered. Confirmatory factor analysis has been carried out to determine the reliability and validity of the factors that are included in the research model. Quality of model and predictive prevalence has been tested with the help of determining the R-square of the model. Path assessment has also been done as a part of data analysis to assess the statistical significance of the association between different factors and the success of a mass collaboration. Findings The analysis determined that organizational structure, the mechanism in collaborative learning along with technologies adopted in collaborative learning, evaluation of learner’s performance and quality of knowledge has a significant effect on mass collaboration within the context of the retail sector in Jordan. Research limitations/implications The context of this research is the Jordanian retail sector; hence, it is very concise and cannot be necessarily applied within the context of other industries. This research has adopted a quantitative design where the data was collected with the help of a survey questionnaire based on the close-ended questionnaire. This has limited the answers to the available options given. Originality/value The originality of this study has been ensured by carrying out a primary survey with the employees and managers belonging to the Jordanian retail sector to the promising approach to create agile knowledge and share to enhance the organizational context.

Literature Survey and Scope of the Present Work

2017 ◽  
pp. 9-18
Keyword(s):  
Research Work ◽  
Fault Prediction ◽  
Machine Learning Techniques ◽  
Software Projects ◽  
Software Fault Prediction ◽  
Advantages And Disadvantages ◽  
Large Numbers ◽  
Learning Techniques ◽  
Software Quality Prediction

As I know large numbers of techniques and models have already been worked out in the area of error estimation. Identifying and locating errors in software projects is a complicated job. Particularly, when project sizes grow. This chapter enlists and reviews existing work to predict the quality of the software using various machine learning techniques. In this chapter key finding from prior studies in the field of software fault prediction has been discussed. Various advantages and disadvantages of the methods used for software quality prediction, have been explained in a detail. What are the problems solved are also mentioned in this section. Description of earlier research work and present research work has summarized in one place.

scholarly journals Implementing Collaborative Learning across the Engineering Curriculum

2017 ◽  
Vol 17 (3) ◽  
pp. 89-108 ◽  
Author(s):  
Patricia Stark Ralston ◽  
Thomas R Tretter ◽  
Marie Kendall Brown
Keyword(s):  
Collaborative Learning ◽  
Teaching Methods ◽  
Collaborative Teaching ◽  
Engineering Curriculum ◽  
Teaching Techniques ◽  
Large Numbers ◽  
Learning Techniques ◽  
Multiple Case ◽  
The Impact

Active and collaborative teaching methods increase student learning, and it is broadly accepted that almost any active or collaborative approach will improve learning outcomes as compared to lecture. Yet, large numbers of faculty have not embraced these methods. Thus, the challenge to encourage evidence-based change in teaching is not only how to educate faculty about collaborative learning techniques, but how to support them as they attempt to implement paradigmatic changes in how they deliver their courses. This paper presents a multiple case study detailing the approach one mid-sized Midwestern research university’s school of engineering used to encourage faculty in all departments to embrace the use of collaborative learning techniques, and then analyzes the impact of the approach on faculty participants. Support structures to enable faculty to implement collaborative teaching techniques, as well as the benefits participants experienced from pedagogical shifts, are discussed.

Collaborative Learning in the Speech-Language Pathology and Audiology Classroom

2008 ◽  
Vol 11 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Carolyn S. Potts ◽  
Sarah M. Ginsberg
Keyword(s):  
Collaborative Learning ◽  
Student Retention ◽  
Student Learning ◽  
Student Learning Outcomes ◽  
Retention Rates ◽  
Speech Language Pathology ◽  
Traditional Lecture ◽  
Language Pathology ◽  
Improve Student Learning

Abstract In recent years, colleges and universities across the country have been called upon to increase the quality of education provided and to improve student retention rates. In response to this challenge, many faculty are exploring alternatives to the traditional “lecture-centered” approach of higher education in an attempt to increase student learning and satisfaction. Collaborative learning is one method of teaching, which has been demonstrated to improve student learning outcomes.

Analisis Benchmarking Terhadap Kinerja Perusahaan Kontraktor Di Dinas Pupr Kota Blitar

REVITALISASI ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 56
Author(s):  
Dessy Kusuma Wardani ◽  
Edy Swasono
Keyword(s):  
Consumer Satisfaction ◽  
Success Factors ◽  
Successful Implementation ◽  
Company Performance ◽  
Community Satisfaction ◽  
Construction Work ◽  
Acquisition Rate ◽  
One Year ◽  
Construction Product

This study aims to identify the dominant factors of the successful implementation of benchmarking on the performance of contracting companies and test the significance of the application of benchmarking on the performance of contracting companies. The research sample was saturated samples of 65 qualified contractor companies. The method and type of research used were correlational methods of multiple regression analysis using SPPS. The results of the study concluded that 1.Benchmarking significantly influences the performance of contracting companies in the Blitar City DPUPR; 1. The ranking of success factors for the Blitar City contractor companies in the process of implementing benchmarking (1) planning, (2) data collection, (3) acception and action and (4) analysis; 2.Benchmarking has proven to significantly improve company performance as measured by increasing (1) Corporate Finance (2) Company productivity, (3) DPUPR Consumer Satisfaction, (4) Community Satisfaction, (5) Quality of the company's construction technical personnel, (6) Satisfaction employee work, (7) Project acquisition rate in one year, (8) Effective completion of construction work, (9) Construction product quality.

A Literature Review Study of Software Defect Prediction using Machine Learning Techniques

2018 ◽  
Vol 6 (6) ◽  
pp. 300 ◽  
Author(s):  
Feidu Akmel ◽  
Ermiyas Birihanu ◽  
Bahir Siraj
Keyword(s):  
Machine Learning ◽  
Software Metrics ◽  
Quality Standard ◽  
Machine Learning Techniques ◽  
Software Systems ◽  
Health Care Insurance ◽  
Software Defect ◽  
Learning Techniques ◽  
Software Product

Software systems are any software product or applications that support business domains such as Manufacturing,Aviation, Health care, insurance and so on.Software quality is a means of measuring how software is designed and how well the software conforms to that design. Some of the variables that we are looking for software quality are Correctness, Product quality, Scalability, Completeness and Absence of bugs, However the quality standard that was used from one organization is different from other for this reason it is better to apply the software metrics to measure the quality of software. Attributes that we gathered from source code through software metrics can be an input for software defect predictor. Software defect are an error that are introduced by software developer and stakeholders. Finally, in this study we discovered the application of machine learning on software defect that we gathered from the previous research works.

Faktor-Faktor yang Berpengaruh dalam Mendapatkan Pekerjaan bagi Lulusan Statistika IPB dengan Menggunakan Metode CHAID

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Aulia Dwi Oktavia ◽  
Aam Alamudi ◽  
Budi Susetyo
Keyword(s):  
College Graduates ◽  
Influential Factors ◽  
Classification Model ◽  
Statistical Software ◽  
Waiting Period ◽  
Level Of Education ◽  
Economic Problems ◽  
Factors Influencing

Unemployment is one of the economic problems in Indonesia. Judging from the level of education that was completed there were unemployment from the level of college graduates. This encourages the level of competition in getting jobs to be more stringent, so that college graduates (bachelor of Statistics in IPB) must have the preparation of various factors to maintain the quality of their graduates. The quality of college graduates can be seen from the length of time waiting to get a job. This study aims to determine the influential factors in getting a job for graduates of the IPB Statistics degree, so that the CHAID method can be used in this study. The results of CHAID's analysis in this study in the form of tree diagrams using α = 10% explained that the factors influencing the waiting period variables were sex, internship, and the ability to master statistical software, where the accuracy value generated by the classification model was 79.3 %.

Scoundrels or Stars? Theory and Evidence on the Quality of Workers in Online Labor Markets

2016 ◽  
Vol 92 (1) ◽  
pp. 93-114 ◽  
Author(s):  
Anne M. Farrell ◽  
Jonathan H. Grenier ◽  
Justin Leiby
Keyword(s):  
Labor Markets ◽  
Data Availability ◽  
Accounting Research ◽  
Research Participants ◽  
Large Numbers ◽  
Research Designs ◽  
Online Labor Markets ◽  
Online Labor ◽  
Low Pay

ABSTRACT Online labor markets allow rapid recruitment of large numbers of workers for very low pay. Although online workers are often used as research participants, there is little evidence that they are motivated to make costly choices to forgo wealth or leisure that are often central to addressing accounting research questions. Thus, we investigate the validity of using online workers as a proxy for non-experts when accounting research designs use more demanding tasks than these workers typically complete. Three experiments examine the costly choices of online workers relative to student research participants. We find that online workers are at least as willing as students to make costly choices, even at significantly lower wages. We also find that online workers are sensitive to performance-based wages, which are just as effective in inducing high effort as high fixed wages. We discuss implications of our results for conducting accounting research with online workers. Data Availability: Contact the authors.

Bicameralism

2019 ◽  
pp. 60-71
Author(s):  
Cecilia Testa
Keyword(s):  
Organizational Structures ◽  
Costs And Benefits ◽  
Social Cleavages ◽  
Constitutional Choice ◽  
Legislative Power ◽  
Pressure Groups ◽  
Important Purpose ◽  
Two Bodies

In modern democracies, the legislative power is vested in parliaments with diverse organizational structures. Bicameral legislatures, requiring concurrent deliberation by two bodies, are present in about one-third of the world’s countries. Bicameralism typically serves the important purpose of accommodating the representation of heterogeneous interests from distinct social cleavages or geographic entities, but it is also associated with advantages such as greater stability of policies, increased accountability, and better quality of legislation. These benefits, however, only arise under specific circumstances, and the greater procedural complexity brought about by two chambers is not without costs. Disagreement between the two chambers often leads to costly legislative gridlock. Bicameralism can also open the door to pressure groups advancing their requests for favorable legislation when the chambers do not have time to carefully consider its consequences. The constitutional choice of bicameralism and its optimality ultimately rest on the subtle balance between its costs and benefits.

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