scholarly journals Drop Out Students Identification Using Knowledge Base

bit-Tech ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 20-27
Author(s):  
Dara Kusumawati ◽  
Dini Faktasari
Keyword(s):  
Knowledge Base ◽  
System Approach ◽  
System Modeling ◽  
Drop Out ◽  
College Dropout ◽  
The Past ◽  
Knowledge Based ◽  
Initial Identification ◽  
System Output ◽  
Drop Outs

The purpose of this study is modeling for the initial identification of college dropout students. Samples were taken from drop out student data for the past 4 years. Information from this sample will be acquired as a knowledge base in system modeling. The research aims to provide a knowledge-based system approach using Dempster Shafer for the management of student drop outs at universities especially in Yogyakarta. The symptoms of DO students are obtained from knowledge about DO that appears on campus in Yogyakarta. The system output is in the form of 3 groups of classification namely initial potential DO, enough potential and once potential. The results of the study produced a system that could help university managers deal with drop-out problems early.

scholarly journals A survey of abandonment of student nurses at Greys Hospital

Curationis ◽  
1982 ◽  
Vol 5 (1) ◽  
Author(s):  
S.F. Fry ◽  
A. Karani ◽  
G.M. Tuckell
Keyword(s):  
South African ◽  
Tertiary Education ◽  
Student Nurses ◽  
Drop Out ◽  
South African Context ◽  
The Past ◽  
Drop Out Rate ◽  
African Context ◽  
Active Research ◽  
Drop Outs

In all tertiary education, a certain percentage of drop-outs can be expected. In this instance, the authors were interested in the abandonment or withdrawal of students from the Diploma in General Nursing at Greys Hospital, Pietermaritzburg. Over the past few years the drop out rate at Greys Hospital was sufficiently high to cause concern - particularly at a time when there is a widely reported shortage of White nursing personnel. Also, in the South African context, very little active research has been reported in this regard.

scholarly journals Mapping the Landscape and Structure of Research on Education for Sustainable Development: A Bibliometric Review

2020 ◽  
Vol 12 (5) ◽  
pp. 1947 ◽  
Author(s):  
Philip Hallinger ◽  
Vien-Thong Nguyen
Keyword(s):  
Sustainable Development ◽  
Knowledge Base ◽  
English Language ◽  
Current Knowledge ◽  
Empirical Studies ◽  
Education For Sustainable Development ◽  
Intellectual Structure ◽  
Geographic Diversification ◽  
The Past ◽  
K 12

This systematic review of research used science mapping as a means of analyzing the knowledge base on education for sustainable development (ESD) in K-12 schooling. The review documented the size, growth trajectory and geographic distribution of this literature, identified high impact scholars and documents, and visualized the “intellectual structure” of the field. The database examined in this review consisted of 1842 English language, Scopus-indexed documents published between 1990 and 2018. The review found that the knowledge base on ESD has grown dramatically over the past 30 years, with a rapidly accelerating rate of publication in the past decade. Although the field has been dominated by scholarship from Anglo-American_European nations, there is evidence of increasing geographic diversification of the ESD knowledge base over the past 15 years. Citation analyses identified authors who have had a significant influence on the development of this literature. Author co-citation analysis revealed three “schools of thought” that comprise the “intellectual structure” of this knowledge base: Education for Sustainable Development, Developing a Sustainability Mindset, Teaching and Learning for Sustainability. Document content analyses led to the conclusion that the current knowledge base is heavily weighted towards critical, descriptive and prescriptive papers, with an insufficient body of analytical empirical studies. Several recommendations are offered for strengthening this literature.

scholarly journals Teamwork: the art of being a leader and a team player

2013 ◽  
Vol 19 (3) ◽  
pp. 221-228 ◽  
Author(s):  
Josie Jenkinson ◽  
Clare Oakley ◽  
Fiona Mason
Keyword(s):  
Knowledge Base ◽  
Team Effectiveness ◽  
Fundamental Aspect ◽  
Team Dynamics ◽  
Clinical Leadership ◽  
The Past ◽  
Team Player ◽  
Team Setting

SummaryThe development of the concept of clinical leadership over the past 5 years, in conjunction with an ever-increasing emphasis on its importance in the medical world, has led to an explosion of reviews, resources, fellowships and other academic programmes in this area. Arguably, with the focus on clinicians as individual leaders, teamworking is a fundamental aspect of effective clinical leadership that has perhaps received less attention. This article explores aspects of leadership in the team setting and covers theories and concepts relating to team dynamics, team roles and functioning. This is with a view to providing clinicians with a sound knowledge base in this area, increased understanding of issues they may face in their own clinical teams, and ideas and tools to help increase team effectiveness.

Knowledge-Based System supported by Chatbot to assist the Risk Classification Process of Patients in Hospital Emergency care (Preprint)

2021 ◽  
Author(s):  
Marciane Mueller ◽  
Rejane Frozza ◽  
Liane Mählmann Kipper ◽  
Ana Carolina Kessler
Keyword(s):  
Medical Care ◽  
Knowledge Base ◽  
Language Processing ◽  
Emergency Care ◽  
Risk Classification ◽  
Conversational Agent ◽  
Conversational Agents ◽  
Hospital Emergency ◽  
Knowledge Based System ◽  
Knowledge Based

BACKGROUND This article presents the modeling and development of a Knowledge Based System, supported by the use of a virtual conversational agent called Dóris. Using natural language processing resources, Dóris collects the clinical data of patients in care in the context of urgency and hospital emergency. OBJECTIVE The main objective is to validate the use of virtual conversational agents to properly and accurately collect the data necessary to perform the evaluation flowcharts used to classify the degree of urgency of patients and determine the priority for medical care. METHODS The agent's knowledge base was modeled using the rules provided for in the evaluation flowcharts comprised by the Manchester Triage System. It also allows the establishment of a simple, objective and complete communication, through dialogues to assess signs and symptoms that obey the criteria established by a standardized, validated and internationally recognized system. RESULTS Thus, in addition to verifying the applicability of Artificial Intelligence techniques in a complex domain of health care, a tool is presented that helps not only in the perspective of improving organizational processes, but also in improving human relationships, bringing professionals and patients closer. The system's knowledge base was modeled on the IBM Watson platform. CONCLUSIONS The results obtained from simulations carried out by the human specialist allowed us to verify that a knowledge-based system supported by a virtual conversational agent is feasible for the domain of risk classification and priority determination of medical care for patients in the context of emergency care and hospital emergency.

The Emerging Paradigm for Technology Learning in the Knowledge Society

1998 ◽  
Vol 12 (4) ◽  
pp. 222-226
Author(s):  
Adelaide Maria Coelho Baěta
Keyword(s):  
Technology Development ◽  
Knowledge Society ◽  
Learning Needs ◽  
Technology Learning ◽  
The Past ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Technology Incubator ◽  
Flow Of Information ◽  
Enterprise Creation

This paper examines the significance of the technology incubator in Brazil's transition from an industrial to a knowledge-based economy. The author examines how incubators can contribute to technology development and enterprise creation, stressing their ability to provide a two-way flow of information between higher education institutions and the private sector, breaking down the mutual distrust that has often hindered the successful exploitation of R&D in the past. The author discusses both the learning needs of companies and the ways in which universities need to change to adapt to the demands of the new knowledge society, placing this analysis in the context of how incubators can be organized to function efficiently. In illustration, she provides the working example of the Biominas Incubator in the state of Minas Gerais.

Knowledge-Based Recommendation Systems

2014 ◽  
Vol 10 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Sarah Bouraga ◽  
Ivan Jureta ◽  
Stéphane Faulkner ◽  
Caroline Herssens
Keyword(s):  
Knowledge Base ◽  
Recommender Systems ◽  
Input Data ◽  
Recommendation Systems ◽  
Knowledge Based ◽  
Classification Framework ◽  
Knowledge Content ◽  
Main Ideas

Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS. Using a classification framework, the survey overviews KBRS components, user problems for which recommendations are given, knowledge content of the system, and the degree of automation in producing recommendations.

scholarly journals Government and Corporate Initiatives for Indian Women in IT

2011 ◽  
pp. 739-744
Author(s):  
Monica Adya
Keyword(s):  
Information Society ◽  
Rapid Development ◽  
Drop Out ◽  
New Delhi ◽  
Information And Communications Technologies ◽  
Government Organizations ◽  
Knowledge Based ◽  
Women In It ◽  
Education Of Women ◽  
Corporate Social

Education of women severely lags behind that of men in many developing nations. Fewer girls go to school, tend to drop out earlier than boys, do not receive the same level of education as their male counterparts, and often choose careers that are female predominant (Kelly, 1987). Without exception, India is quite representative of these gender-biased phenomena in education. However, the recent explosion of offshore outsourcing market in India has created a new recognition regarding the role of women in technological careers. The Indian IT sector has seen a trend contrary to what most western nations are experiencing—predominance of women in IT, particularly in IT-enabled services (ITES). India has acknowledged that extensive and intensive use of information and communications technologies (ICT) alone can help the nation develop its neglected human resources, emerge as a knowledge-based society, and participate competitively in the global trade and services. Consequently, the development of ICT has become a national issue with strong impetus from the union government in New Delhi (Choudhary, 1999). Explicit in this initiative is the recognition that to progress as an information society, women must be empowered as key players the IT sector. In parallel, two other trends have focused attention on women in the information society—a nationwide movement for women’s rights spearheaded by many non-government organizations (NGOs) and an increased awareness of corporate social responsibility. Consequently, over the last decade, there has been an increased emphasis on education and reskilling India’s female workforce. While many government efforts are targeted toward the overall upliftment of women, many grassroots level initiatives led by NGO’s and corporations emphasize technological training. This article highlights how the intertwining of grassroots and policy level efforts can increase the pace at which a nation’s female workforce can be reskilled and prepared for a technological world. The article also addresses concerns about such rapid development and potentially challenging outcomes while making recommendations for improvement.

scholarly journals K-12 Students’ Academic Status: A Data Warehouse Architecture Framework

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2749-2752
Keyword(s):  
Data Warehouse ◽  
Basic Education ◽  
Drop Out ◽  
Academic Status ◽  
Migration Patterns ◽  
Architecture Framework ◽  
And Migration ◽  
K 12 ◽  
Full Swing ◽  
Drop Outs

The K-12 Basic Education Program in the Philippine is now on its full swing status. However, as it moves to the peak of its full implementation, the number of drop-outs, retention, and migration students is increasing. With this in mind, the researcher came across with designing data warehouse and data mining architecture in the analysis of drop-out, retention, and migration patterns of students. Academic performance is the main factor in the students’ drop-out, retention, and migration. The proposed architecture would be sufficient for the analysis of the K-12 students’ academic status. It served as a foundation in the conduct of a thorough study on students’ drop-out, retention, and migration patterns.

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