An Explainable Person-Job Fit Model Incorporating Structured Information

Author(s):  
Yunchong Zhang ◽  
Baisong Liu ◽  
Jiangbo Qian ◽  
Jiangcheng Qin ◽  
Xueyuan Zhang ◽  
...  
2019 ◽  
Vol 18 (3) ◽  
pp. 148-156
Author(s):  
Mary Hogue ◽  
Lee Fox-Cardamone ◽  
Deborah Erdos Knapp

Abstract. Applicant job pursuit intentions impact the composition of an organization’s applicant pool, thereby influencing selection outcomes. An example is the self-selection of women and men into gender-congruent jobs. Such self-selection contributes to a lack of gender diversity across a variety of occupations. We use person-job fit and the role congruity perspective of social role theory to explore job pursuit intentions. We present research from two cross-sectional survey studies (520 students, 174 working adults) indicating that at different points in their careers women and men choose to pursue gender-congruent jobs. For students, the choice was mediated by value placed on the job’s associated gender-congruent outcomes, but for working adults it was not. We offer suggestions for practitioners and researchers.


2004 ◽  
Author(s):  
Steven D. Caldwell ◽  
David M. Herold ◽  
Donald B. Fedor
Keyword(s):  

Author(s):  
K. R. Ovchinnikova

The relevance of the issue under consideration in the article is connected with the confusion in scientific publications of the concepts of “electronic educational materials” and “electronic educational resources”. The article discusses the concept of “electronic educational materials” from the perspective of general systems theory. And their system character is proved. This allows them to be represented as a single complex of structured information of a specific subject area and didactic materials. These didactic materials support the learning process at all stages of its didactic cycle in accordance with the chosen learning technology based on the didactic capabilities of information technologies. It is concluded that the system of high school electronic materials allows to expand the boundaries of the design activity of the teacher, provide management of the student’s thinking activity, to implement a competence approach to the learning process at university


2017 ◽  
Vol 11 (2) ◽  
pp. 212-232 ◽  
Author(s):  
Matthias Bauer ◽  
Angelika Zirker

While most literary scholars wish to help readers understand literary texts by providing them with explanatory annotations, we want to go a step further and enable them, on the basis of structured information, to arrive at interpretations of their own. We therefore seek to establish a concept of explanatory annotation that is reader-oriented and combines hermeneutics with the opportunities provided by digital methods. In a first step, we are going to present a few examples of existing annotations that apparently do not take into account readerly needs. To us, they represent seven types of common problems in explanatory annotation. We then introduce a possible model of best practice which is based on categories and structured along the lines of the following questions: What kind(s) of annotations do improve text comprehension? Which contexts must be considered when annotating? Is it possible to develop a concept of the reader on the basis of annotations—and can, in turn, annotations address a particular kind of readership, i.e.: in how far can annotations be(come) individualised?


2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.


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