Skills in Australia: Towards Workforce Development and Sustainable Skill Ecosystems

2006 ◽  
Vol 48 (5) ◽  
pp. 575-592 ◽  
Author(s):  
Richard Hall ◽  
Russell D. Lansbury
Keyword(s):  
Workforce Development ◽  
Skills Development ◽  
Consensus Model ◽  
Consensus Approach ◽  
Social Consensus ◽  
Unsuccessful Attempt ◽  
Skill Formation ◽  
Consensus Models ◽  
Development Approach ◽  
Development Orientation

This article argues that there is a need to move beyond narrow ways of thinking about training to incorporate broader notions of ‘workforce development’ and ‘skill ecosystems’. A market-based approach to skills development is contrasted with a social consensus model, which takes a more integrated view of how skills are formed and sustained. However, following a review of Australia’s brief and ultimately unsuccessful attempt to develop something akin to a social consensus approach, we argue that there is much to be gained from a workforce development approach and an understanding of skill formation as occurring in the context of skill ecosystems. To be most effective this approach to skill formation requires the facilitation of networks and nurturing of partnerships among the different agents and agencies concerned with skill development. Recent initiatives in Australia that explicitly adopt a skill ecosystem and workforce development orientation demonstrate the potential of these approaches to overcome many of the problems associated with currently dominant market-based approaches and avoid the pitfalls of social consensus models.

scholarly journals Toward automated assessment of health Web page quality using the DISCERN instrument

2016 ◽  
Vol 24 (3) ◽  
pp. 481-487 ◽  
Author(s):  
Ahmed Allam ◽  
Peter J Schulz ◽  
Michael Krauthammer
Keyword(s):  
Medical Information ◽  
Scale Up ◽  
Quality Criteria ◽  
Current View ◽  
Web Pages ◽  
Consensus Model ◽  
Web Page ◽  
Score Distribution ◽  
Training Corpus ◽  
Consensus Models

Background: As the Internet becomes the number one destination for obtaining health-related information, there is an increasing need to identify health Web pages that convey an accurate and current view of medical knowledge. In response, the research community has created multicriteria instruments for reliably assessing online medical information quality. One such instrument is DISCERN, which measures health Web page quality by assessing an array of features. In order to scale up use of the instrument, there is interest in automating the quality evaluation process by building machine learning (ML)-based DISCERN Web page classifiers. Objective: The paper addresses 2 key issues that are essential before constructing automated DISCERN classifiers: (1) generation of a robust DISCERN training corpus useful for training classification algorithms, and (2) assessment of the usefulness of the current DISCERN scoring schema as a metric for evaluating the performance of these algorithms. Methods: Using DISCERN, 272 Web pages discussing treatment options in breast cancer, arthritis, and depression were evaluated and rated by trained coders. First, different consensus models were compared to obtain a robust aggregated rating among the coders, suitable for a DISCERN ML training corpus. Second, a new DISCERN scoring criterion was proposed (features-based score) as an ML performance metric that is more reflective of the score distribution across different DISCERN quality criteria. Results: First, we found that a probabilistic consensus model applied to the DISCERN instrument was robust against noise (random ratings) and superior to other approaches for building a training corpus. Second, we found that the established DISCERN scoring schema (overall score) is ill-suited to measure ML performance for automated classifiers. Conclusion: Use of a probabilistic consensus model is advantageous for building a training corpus for the DISCERN instrument, and use of a features-based score is an appropriate ML metric for automated DISCERN classifiers. Availability: The code for the probabilistic consensus model is available at https://bitbucket.org/A_2/em_dawid/.

Enhancing the 21st Century Learning Experience

2017 ◽  
pp. 160-168 ◽  
Author(s):  
Fay Patel ◽  
Fadhliyansah Saipul ◽  
Regina Chan
Keyword(s):  
Student Learning ◽  
Learning Experience ◽  
Skills Development ◽  
Learning Needs ◽  
Integrated Learning ◽  
Global Learning ◽  
Learning Space ◽  
Learning Skills ◽  
Effective Strategies ◽  
Development Approach

Higher education institutions have made considerable effort to develop generic centrally based and course integrated learning skills intervention programs to enhance student learning. Various student learning skills development interventions have been implemented in the global learning space to respond to the diverse learning needs of undergraduate and postgraduate learners. The existing learning skills development framework was expanded to include the newly introduced Peer Assisted Study Sessions (PASS) to enable learners to learn effectively. The authors present an overview of the PASS program as a student centric learning initiative to enable student driven learning. The chapter highlights the challenges and benefits of promoting PASS as an integrated learning skills development approach. A reflective review of the different perspectives on learning skills development suggests that learners benefit from a number of effective strategies within a peer assisted study session to enable them to take responsibility for their learning.

Developing proficient aesthetic practitioners using a workforce development approach

2015 ◽  
Vol 4 (8) ◽  
pp. 400-403
Author(s):  
Anne Mcnall ◽  
Emma Senior ◽  
Linda Mather
Keyword(s):  
Workforce Development ◽  
Development Approach

scholarly journals Priority Setting and Social Consensus Model in Health Care

2009 ◽  
Vol 16 (1) ◽  
pp. 1-40
Author(s):  
이용갑 ◽  
문성웅 ◽  
서남규
Keyword(s):  
Health Care ◽  
Priority Setting ◽  
Consensus Model ◽  
Social Consensus

Systematic group leader training: A skills development approach

1983 ◽  
Vol 8 (4) ◽  
pp. 226-232 ◽  
Author(s):  
Riley Harvill ◽  
Robert L. Masson ◽  
Edward Jacobs
Keyword(s):  
Group Leader ◽  
Skills Development ◽  
Leader Training ◽  
Development Approach ◽  
Systematic Group

scholarly journals THE SZNAJD CONSENSUS MODEL WITH CONTINUOUS OPINIONS

2005 ◽  
Vol 16 (01) ◽  
pp. 17-24 ◽  
Author(s):  
SANTO FORTUNATO
Keyword(s):  
Real Number ◽  
Simple Extension ◽  
Consensus Model ◽  
Confidence Bound ◽  
Two Agents ◽  
Bounded Confidence ◽  
Consensus Models ◽  
The Mean ◽  
Continuous Opinions

In the consensus model of Sznajd, opinions are integers and a randomly chosen pair of neighboring agents with the same opinion forces all their neighbors to share that opinion. We propose a simple extension of the model to continuous opinions, based on the criterion of bounded confidence which is at the basis of other popular consensus models. Here, the opinion s is a real number between 0 and 1, and a parameter ∊ is introduced such that two agents are compatible if their opinions differ from each other by less than ∊. If two neighboring agents are compatible, they take the mean sm of their opinions and try to impose this value to their neighbors. We find that if all neighbors take the average opinion sm, the system reaches complete consensus for any value of the confidence bound ∊. We propose as well a weaker prescription for the dynamics and discuss the corresponding results.

Improving Pediatrician’s Behavioral Health Competencies Through the Project ECHO Teleconsultation Model

2020 ◽  
Vol 59 (12) ◽  
pp. 1049-1057
Author(s):  
Cody A. Hostutler ◽  
Jahnavi Valleru ◽  
Heather M. Maciejewski ◽  
Amy Hess ◽  
Sean P. Gleeson ◽  
...  
Keyword(s):  
Primary Care ◽  
Behavioral Health ◽  
Workforce Development ◽  
Primary Care Providers ◽  
Healthcare Outcomes ◽  
Care Providers ◽  
Community Healthcare ◽  
Project Echo ◽  
Underserved Patients ◽  
Development Approach

Project ECHO (Extension for Community Healthcare Outcomes) is a teleconsultation model for enhancing the treatment of underserved patients in primary care. Previous behavioral health (BH) adaptations of Project ECHO have primarily focused on adults or specific diagnoses and have relied on self-reported outcomes. The purpose of this pilot was to adapt Project ECHO to support pediatric primary care providers in addressing common BH needs and to conduct an initial evaluation of its effectiveness. Overall, participants reported high levels of satisfaction and a statistically significant improvement in their overall knowledge and skills ( P = 0.001). Participation was also associated with a reduction in the use of psychotropic polypharmacy. This pilot adds to a growing body of literature suggesting that Project ECHO is a promising workforce development approach to build competencies for the management of BH issues in primary care.

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