An Integrated Approach to Program Conceptualization, Curriculum Analysis, and Outcome Assessment

2007 ◽  
Vol 13 (1) ◽  
pp. 81-99 ◽  
Author(s):  
John Poulin ◽  
Paula Silver ◽  
Stephen Kauffman
Keyword(s):  
Outcome Assessment ◽  
Outcomes Assessment ◽  
Integrated Approach ◽  
Data Driven ◽  
Curriculum Analysis ◽  
Study Report ◽  
Comprehensive Data ◽  
Self Study ◽  
Integrated Program

This article describes an integrated approach that can be used by BSW programs to conceptualize a program's mission, goals, and objective; conduct course and curriculum analyses; develop an integrated program of outcomes assessment; and prepare a comprehensive data-driven self-study report

scholarly journals Language change and language evolution: Cousins, siblings, twins?

2020 ◽  
Author(s):  
Stefan Hartmann
Keyword(s):  
Adaptive Systems ◽  
Language Change ◽  
Historical Linguistics ◽  
Language Evolution ◽  
Integrated Approach ◽  
Data Driven ◽  
Historical Time ◽  
Research Questions ◽  
The Relationship ◽  
Cross Fertilization

The relationship between “language change” and “language evolution” has recently become subject to some debate regarding the scope of both concepts. It has been claimed that while the latter used to refer to language origins in the first place, both terms can now, to a certain extent, be used synonymously. In this paper, I argue that this can partly be explained by parallel develop-ments both in historical linguistics and in the field of language evolution research that have led to a considerable amount of convergence between both fields. Both have adopted usage-based approaches and data-driven methods, which entails similar research questions and similar perspectives on the phenomena under investigation. This has ramifications for current models and theories of language change (or evolution). Two approaches in particular – the concept of com-plex adaptive systems and construction grammar – have been combined in integrated approaches that seek to explain both language emergence and language change over historical time. I discuss the potential and limitations of this integrated approach, and I argue that there is still some unex-plored potential for cross-fertilization.

Datengetriebene Steigerung der Verfügbarkeit/Data-supported root cause analysis to increase the availability of machine tools. Data-driven availability increase

2020 ◽  
Vol 110 (07-08) ◽  
pp. 532-535
Author(s):  
Eckhart Uhlmann ◽  
Roman Dumitrescu ◽  
Julian Polte ◽  
Maurice Meyer ◽  
Deniz Simsek
Keyword(s):  
Data Analysis ◽  
Machine Tools ◽  
Critical Factor ◽  
Root Cause Analysis ◽  
Data Driven ◽  
Manufacturing Companies ◽  
Cause Analysis ◽  
Root Cause ◽  
Comprehensive Data ◽  
Causes Of Failure

Die Zuverlässigkeit von Werkzeugmaschinen ist ein kritischer Faktor für den Erfolg produzierender Unternehmen. Durch die Analyse von Daten in der Produktplanung können Maschinenhersteller Ausfallursachen eliminieren und Maschinen systematisch verbessern. Jedoch stellt eine umfassende Datenanalyse viele Unternehmen vor große Herausforderungen. Die in diesem Beitrag vorgestellte Methodik adressiert diese Problematik und unterstützt Unternehmen bei der zielgerichteten Datenanalyse.   The reliability of machine tools is a critical factor for the success of manufacturing companies. By analyzing data in product planning, machine manufacturers can eliminate causes of failure and systematically improve machines. However, comprehensive data analysis poses great challenges for many companies. The methodology presented in this paper addresses this problem and supports companies in the goal-driven data analysis.

Automatic extraction, prioritization and analysis of gut microbial metabolites from biomedical literature

2019 ◽  
Author(s):  
Quangqiu Wang ◽  
Rong Xu
Keyword(s):  
Human Genetics ◽  
Microbial Metabolism ◽  
Integrated Approach ◽  
Biomedical Literature ◽  
Human Diseases ◽  
Data Driven ◽  
Microbial Metabolites ◽  
Microbial Metabolite ◽  
Relationship Extraction ◽  
Human Genes

Abstract Background: Many diseases are driven by gene-environment interactions. One important environmental factor is the metabolic output of human gut microbiota. A comprehensive catalog of human metabolites originated in microbes is critical for data-driven approaches to understand how microbial metabolism contributes to human health and diseases. Here we present a novel integrated approach to automatically extract and analyze microbial metabolites from 28 million published biomedical records. Results: First, we classified 28,851,232 MEDLINE records into microbial metabolism-related or not. Second, candidate microbial metabolites were extracted from the classified texts. Third, we developed signal prioritization algorithms to further differentiate microbial metabolites from metabolites originated from other resources. Finally, we systematically analyzed the interactions between extracted microbial metabolites and human genes. A total of 11,846 metabolites were extracted from 28 million MEDLINE articles. The combined text classification and signal prioritization significantly enriched true positives among top: manual curation of top 100 metabolites showed a true precision of 0.55, representing a significant 38.3-fold enrichment as compared to the precision of 0.014 for baseline extraction. More importantly, 29% extracted microbial metabolites have not been captured by existing databases. Our data-driven analysis of the interactions between the extracted microbial metabolite and human genetics provides mechanistic insights into how microbiota may contribute to human diseases. Conclusions: This study represents the first effort towards building a comprehensive knowledge base of microbial metabolites, which can set the foundation for future tasks of microbial metabolite relationship extraction from literature and facilitate data-driven studies of how microbial metabolism contributes to human diseases.

Writing the Self-Study Report

2007 ◽  
pp. 121-127
Author(s):  
Jeffrey W. Alstete
Keyword(s):  
The Self ◽  
Study Report ◽  
Self Study

scholarly journals Design- and Craft thinking analysed as Embodied Cognition

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Camilla Groth
Keyword(s):  
Embodied Cognition ◽  
Case Studies ◽  
Design Thinking ◽  
The Body ◽  
Sense Making ◽  
Tactile Sense ◽  
Intellectual Activity ◽  
Study Report ◽  
Self Study ◽  
Design Students

Through the concept of design thinking the act of designing is presented as an intellectual activity, and the act of planning the design is elevated over the making process. However, the importance of materiality and the embodied sense-making that occurs in this context should not be forgotten. In this study, embodied cognition in design and craft practices was investigated through three case studies. The study takes on an enhanced tactile perspective as a methodological platform; thus, the cases involve 1) deafblind makers in ceramics, 2) a practice-led self-study report on tactile experiences while working with clay and 3) a study on design students’ use of their tactile sense during material exploration. The results show that the act of thinking design involves the body as a knowledge provider.

Approaches to data-driven exploration in Queensland

2019 ◽  
Vol 59 (2) ◽  
pp. 896
Author(s):  
Tony Knight
Keyword(s):  
Value Added ◽  
Integrated Approach ◽  
Data Driven ◽  
Data Repositories ◽  
Petroleum Resource ◽  
Research Sector ◽  
Resource Endowment ◽  
Supply Industry ◽  
Government Data

Queensland has a very significant petroleum resource endowment within 27 hydrocarbon basins spread across the state. Three of those basins already host Australia’s largest onshore gas supply industry, leaving significant opportunity to develop additional gas resources. To optimise the development of new resources, the Geological Survey of Queensland (GSQ) is implementing an integrated approach to exploration and appraisal called ‘data driven exploration’. Working in collaboration with industry, the research sector and relevant government agencies, GSQ is promoting data-driven exploration in four ways: by (1) optimising the type and quality of geoscience data collected and reported by industry; (2) improving data curation practices in government data repositories; (3) creating value-added opportunities for the use of geoscience data; and (4) improving industry capability and capacity through skills enhancement, collaborative mechanisms, and access to an expert capability network. The overarching objective of ‘data-driven exploration’ is to enable industry exploration and appraisal success by making best use of geoscience data coupled with supporting mechanisms to improve competency and capability to derive, interpret and employ geoscience information. The expression of success will vary depending on individual circumstances, but is intended to encompass a range of outcomes including improvements in the rate, cost and efficiency of discovery and appraisal.

Circulating biosignatures of late-life depression (LLD): Towards a comprehensive, data-driven approach to understanding LLD pathophysiology

2016 ◽  
Vol 82 ◽  
pp. 1-7 ◽  
Author(s):  
Breno Satler Diniz ◽  
Chien-Wei Lin ◽  
Etienne Sibille ◽  
George Tseng ◽  
Francis Lotrich ◽  
...  
Keyword(s):  
Late Life ◽  
Data Driven ◽  
Late Life Depression ◽  
Comprehensive Data ◽  
Data Driven Approach

scholarly journals Pre-conference Workshop: Writing the TAPAC Self-Study Report

2020 ◽  
Author(s):  
Andrew Reilly ◽  
Carol Warfield ◽  
Cynthia L Istook ◽  
Elizabeth Bye ◽  
Kathleen Rees ◽  
...  
Keyword(s):  
Study Report ◽  
Self Study
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