Teaching Engagement Scale Alignment Towards Purpose-Driven Delivery

2021 ◽  
pp. 267-284
Author(s):  
Chockalingam Aravind Vaithilingam ◽  
Reynato A. Gamboa ◽  
Kumaraguruparan Gurusamy
Keyword(s):  
Data Analytics ◽  
Action Plan ◽  
Training Needs ◽  
Class Analysis ◽  
Educational Framework ◽  
Educational Sustainability ◽  
Engagement Scale ◽  
The Way

This work proposes a way in which the engagement scale is embedded into the existing educational framework and help to identify training needs that makes the teacher to play a greater role graduate capability achievements. The framework, the key components, and the tracking of the performance to align the set outcomes are presented. A seven dimensional teaching engagement scale (TES) assessment at the end of the semester often is the closest tool to evaluate the partnership. The extraction of the data, analytics of the data, the imperatives, and the solutions with reflections are presented in this work. The analysis showed a wider gap with the way the learner required wanted to learn is and the way the teacher facilitate the class. Analysis of the dimensions is presented with implications sounding out to the point teach less through conventional modes of learning and to make learning to happen through engaging tools towards educational sustainability. The outcomes of the action plan strategy over a semester is presented with reflections and effectiveness.

From source-oriented databases to event-history data files: a twelve-step action plan for the analysis of individual and household life histories

1998 ◽  
Vol 10 (1-3) ◽  
pp. 1-9
Author(s):  
Onno Boonstra ◽  
Maarten Panhuysen
Keyword(s):  
Life Histories ◽  
Event History Analysis ◽  
Action Plan ◽  
Event History ◽  
Flat File ◽  
Event History Data ◽  
History Analysis ◽  
Good Technique ◽  
Data Files ◽  
The Way

Population registers are recognised to be a very important source for demographic research, because it enables us to study the lifecourse of individuals as well as households. A very good technique for lifecourse analysis is event history analysis. Unfortunately, there are marked differences in the way the data are available in population registers and the way event history analysis expects them to be. The source-oriented approach of computing historical data calls for a ‘five-file structure’, whereas event history analysis only can handle fiat files. In this article, we suggest a series of twelve steps with which population register data can be transposed from a five-file structured database into a ‘flat file’ event history analysis dataset.

Organizing and Managing Data Analytics Teams for Procurement

2020 ◽  
Author(s):  
Benjamin Shao ◽  
Robert D. St. Louis
Keyword(s):  
Best Practices ◽  
Business Strategy ◽  
Data Analytics ◽  
Team Members ◽  
Procurement Process ◽  
Using Data ◽  
And Training ◽  
Different Levels ◽  
The Way

Many companies are forming data analytics teams to put data to work. To enhance procurement practices, chief procurement officers (CPOs) must work effectively with data analytics teams, from hiring and training to managing and utilizing team members. This chapter presents the findings of a study on how CPOs use data analytics teams to support the procurement process. Surveys and interviews indicate companies are exhibiting different levels of maturity in using data analytics, but both the goal of CPOs (i.e., improving performance to support the business strategy) and the way to interact with data analytics teams for achieving that goal are common across companies. However, as data become more reliably available and technologies become more intelligently embedded, the best practices of organizing and managing data analytics teams for procurement will need to be constantly updated.

What has digital technology done for us and how can we evolve as a sector to make best use of what it has to offer?

2021 ◽  
Vol 46 (1) ◽  
pp. 25-31
Author(s):  
Nicki Moore
Keyword(s):  
Career Development ◽  
Digital Technology ◽  
Career Guidance ◽  
Training Needs ◽  
Barriers And Enablers ◽  
Use Of Technology ◽  
Digital Skills ◽  
The Uk ◽  
The Way

The need for career development practitioners to develop digital skills is a subject which has been revisited many times. This article draws on research undertaken in the UK in 2019 to establish the barriers and enablers in the use of technology to delivery career guidance and the training needs of the career development workforce to make the most of what digital technology has to offer. The research found that career development practitioners were using digital technology and applications both in their practice with clients and in the way they manage their business. This has prepared them to respond to the challenges in delivering career development services that the COVID-19 pandemic presented.

Resisting Neoliberalism in Colombia: The Role of Human Rights

2017 ◽  
Vol 44 (5) ◽  
pp. 127-144
Author(s):  
Paul A. Chambers
Keyword(s):  
Human Rights ◽  
Free Trade ◽  
Action Plan ◽  
Trade Agreement ◽  
Social Rights ◽  
Political Rights ◽  
Derechos Humanos ◽  
International Image ◽  
The Way

The Colombian government’s noncompliance with the U.S.-Colombia Free Trade Agreement’s Labor Action Plan calls into question not only the government’s intentions but also the efficacy of human rights activism and discourse for social resistance to neoliberalism. Colombia has managed to adjust the narrative on human rights and improve its international image, paving the way for U.S. ratification of the free-trade agreement despite the fact that the human rights situation continues to be very serious. Its success in this is due to the way in which the debate on the agreement and human rights was framed—with a very narrow focus on trade unionists’ rights and a discourse that did not link civil and political rights to economic and social rights—and to the ideological affinity between neoliberalism and the dominant liberal discourse on human rights. El incumplimiento del Plan de Acción Laboral por parte del gobierno colombiano, en el marco del TLC con Estados Unidos, pone en tela de juicio no solo las intenciones del gobierno, sino la utilidad y eficacia del activismo y discurso de los derechos humanos para la resistencia social al neoliberalismo. El Estado colombiano ha logrado ajustar la narrativa sobre los derechos humanos y mejorar su imagen internacional, lo que le permitió ser “premiado” con la ratificación del TLC a pesar de que la situación de derechos humanos siguiera siendo grave. Esto se debe a la forma en que se enmarcó el debate sobre el TLC y los derechos humanos—con un enfoque demasiado restringido y un discurso que no integró los derechos civiles y políticos con los derechos económicos y sociales—y a la afinidad ideológica entre el neoliberalismo y el discurso dominante de los derechos humanos.

The Role of Data Analytics and Machine Learning in Resurrecting Inductive-Based Accounting Research

2021 ◽  
Vol 9 (2) ◽  
pp. 1-19
Author(s):  
Lawrence A. Gordon
Keyword(s):  
Machine Learning ◽  
Empirical Evidence ◽  
Data Analytics ◽  
Accounting Research ◽  
Recent Developments ◽  
Important Trend ◽  
The Impact ◽  
The Way

The objective of this paper is to assess the impact of data analytics (DA) and machine learning (ML) on accounting research.[1] As discussed in the paper, the inherent inductive nature of DA and ML is creating an important trend in the way accounting research is being conducted. That trend is the increasing utilization of inductive-based research among accounting researchers. Indeed, as a result of the recent developments with DA and ML, a rebalancing is taking place between inductive-based and deductive-based research in accounting.[2] In essence, we are witnessing the resurrection of inductive-based accounting research. A brief review of some empirical evidence to support the above argument is also provided in the paper.   

Blockchain and the future of business data analytics

2020 ◽  
Author(s):  
Stanton Heister ◽  
Matthew Kaufmann ◽  
Kristi Yuthas
Keyword(s):  
Data Analytics ◽  
New Approaches ◽  
Distributed Ledger ◽  
The Future ◽  
Business Data ◽  
Pencil And Paper ◽  
The Way

Blockchain and distributed ledger technologies are changing the way financial and business records are created and stored. New approaches to collaboration within and across industries enabled by this technology will increasingly result in new opportunities for data analytics. This pencil-and-paper activity can help students unfamiliar with blockchain-related technologies understand these systems and the inter-organizational databases that result from their use.

Big Data Predictive and Prescriptive Analytics

2014 ◽  
pp. 370-391 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
Data Analytics ◽  
Action Plan ◽  
Big Data Analytics ◽  
Clear Understanding ◽  
Future Planning ◽  
Prescriptive Analytics ◽  
Hybrid Data ◽  
Recent Trends

The Analytics tools are capable of suggesting the most favourable future planning by analyzing “Why” and “How” blended with What, Who, Where, and When. Descriptive, Predictive, and Prescriptive analytics are the analytics currently in use. Clear understanding of these three analytics will enable an organization to chalk out the most suitable action plan taking various probable outcomes into account. Currently, corporate are flooded with structured, semi-structured, unstructured, and hybrid data. Hence, the existing Business Intelligence (BI) practices are not sufficient to harness potentials of this sea of data. This change in requirements has made the cloud-based “Analytics as a Service (AaaS)” the ultimate choice. In this chapter, the recent trends in Predictive, Prescriptive, Big Data analytics, and some AaaS solutions are discussed.

Big Data Analytics in the Healthcare Industry

2020 ◽  
pp. 160-178
Author(s):  
Arulkumar Varatharajan ◽  
Selvan C. ◽  
Vimalkumar Varatharajan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Human Services ◽  
Big Data Analytics ◽  
Healthcare Industry ◽  
Multimodal Data ◽  
Design Structure ◽  
Costs Of Treatment ◽  
The Way

Big Data has changed the way we manage, analyze and impact the data information in any industry. A champion among the most promising zones where it will, in general, be associated with takeoff progress is therapeutic medicinal administrations. Administration examinations can diminish costs of treatment, foresee flare-ups of pestilences, keep up a key separation from preventable diseases and improve individual fulfillment overall. The chapter depicts the beginning field of a huge information investigation in human services, talks about the advantages, diagrams a design structure and approach, portrays models revealed in the writing, quickly examines the difficulties, and offers ends. A continuous examination which targets the utilization of tremendous volumes of remedial data information while combining multimodal data information from various sources is discussed. Potential locales of research inside this field which can give noteworthy impact on medicinal administrations movement are in like manner dissected.

Big Data Predictive and Prescriptive Analytics

Big Data ◽  
2016 ◽  
pp. 30-55 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
Data Analytics ◽  
Action Plan ◽  
Big Data Analytics ◽  
Clear Understanding ◽  
Future Planning ◽  
Prescriptive Analytics ◽  
Hybrid Data ◽  
Recent Trends

The Analytics tools are capable of suggesting the most favourable future planning by analyzing “Why” and “How” blended with What, Who, Where, and When. Descriptive, Predictive, and Prescriptive analytics are the analytics currently in use. Clear understanding of these three analytics will enable an organization to chalk out the most suitable action plan taking various probable outcomes into account. Currently, corporate are flooded with structured, semi-structured, unstructured, and hybrid data. Hence, the existing Business Intelligence (BI) practices are not sufficient to harness potentials of this sea of data. This change in requirements has made the cloud-based “Analytics as a Service (AaaS)” the ultimate choice. In this chapter, the recent trends in Predictive, Prescriptive, Big Data analytics, and some AaaS solutions are discussed.

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