Current Search:  Nursing -- Computer-assisted instruction (x)

View All Items

  • CSV Spreadsheet
(1 - 3 of 3)
examination of the Kolb LSI and GEFT and their relationship to academic achievement in Web-based and face-to-face nursing courses
Title
An examination of the Kolb LSI and GEFT and their relationship to academic achievement in Web-based and face-to-face nursing courses.
Creator
Musgrove, Ann Terrill., Florida Atlantic University, Bryan, Valerie
Abstract/Description
Technological advances in computer systems have made the computer a valuable educational tool to both instructors and students. Web-based learning (WBL) is a relatively new instructional delivery mode which is rapidly becoming a staple at all levels of education. Critical shortage areas such as nursing should be able to use properly supported web-based education successfully to help address this shortage. Instructors need to create this support by presenting learning materials in a variety of...
Show moreTechnological advances in computer systems have made the computer a valuable educational tool to both instructors and students. Web-based learning (WBL) is a relatively new instructional delivery mode which is rapidly becoming a staple at all levels of education. Critical shortage areas such as nursing should be able to use properly supported web-based education successfully to help address this shortage. Instructors need to create this support by presenting learning materials in a variety of ways to allow learners choices that can match their Cognitive Styles (CS). This study was designed to determine the relationship between students' CS as measured by the Kolb Learning Style Inventory (LSI) and the Witkin Group Embedded Figures Test (GEFT) and academic achievement in web-based and face-to-face nursing courses. Knowledge about different CS could assist students, administrators, and instructors to determine the best instructional delivery mode. Properly applied knowledge of individual learning styles could lead to greater academic achievement. This study is divided into two parts and took place in the years 2000--2002. In study one, the Kolb LSI was administered to 153 non-randomly selected nursing students in either web-based or face-to-face classes. Academic achievement was measured as a percentage of total points. No significant difference was found when comparing academic achievement and instructional delivery modes. An Analysis of Variance (ANOVA) showed a significant difference between Kolb learning styles (p < .05). Convergers had higher final mean scores in both face-to-face and web-based classes than either Assimilators or Accommodators. In study two, the Group Embedded Figures Test (GEFT) was administered to 108 non-randomly selected nursing students enrolled in either web-based or face-to-face classes. No significant difference was found between GEFT scores and academic achievement or between GEFT scores and instructional delivery mode. The field of CS research would benefit from a continued effort towards examination, organization and consensus of the large numbers of labels and types. Future research should examine other populations. Longitudinal studies should be undertaken to determine the stability of CS. Other education focused CS instruments should be used to examine the relationship to learner achievement.
Show less
Date Issued
2002
PURL
http://purl.flvc.org/fcla/dt/11996
Subject Headings
Cognitive styles, Academic achievement, Nursing--Computer-assisted instruction
Format
Document (PDF)
Automated nursing knowledge classification using indexing
Title
Automated nursing knowledge classification using indexing.
Creator
Chinchanikar, Sucharita Vijay., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Promoting healthcare and wellbeing requires the dedication of a multi-tiered health service delivery system, which is comprised of specialists, medical doctors and nurses. A holistic view to a patient care perspective involves emotional, mental and physical healthcare needs, in which caring is understood as the essence of nursing. Properly and efficiently capturing and managing nursing knowledge is essential to advocating health promotion and illness prevention. This thesis proposes a...
Show morePromoting healthcare and wellbeing requires the dedication of a multi-tiered health service delivery system, which is comprised of specialists, medical doctors and nurses. A holistic view to a patient care perspective involves emotional, mental and physical healthcare needs, in which caring is understood as the essence of nursing. Properly and efficiently capturing and managing nursing knowledge is essential to advocating health promotion and illness prevention. This thesis proposes a document-indexing framework for automating classification of nursing knowledge based on nursing theory and practice model. The documents defining the numerous categories in nursing care model are structured with the help of expert nurse practitioners and professionals. These documents are indexed and used as a benchmark for the process of automatic mapping of each expression in the assessment form of a patient to the corresponding category in the nursing theory model. As an illustration of the proposed methodology, a prototype application is developed using the Latent Semantic Indexing (LSI) technique. The prototype application is tested in a nursing practice environment to validate the accuracy of the proposed algorithm. The simulation results are also compared with an application using Lucene indexing technique that internally uses modified vector space model for indexing. The result comparison showed that the LSI strategy gives 87.5% accurate results compared to the Lucene indexing technique that gives 80% accuracy. Both indexing methods maintain 100% consistency in the results.
Show less
Date Issued
2009
PURL
http://purl.flvc.org/FAU/186677
Subject Headings
Nursing, Computer-assisted instruction, Data transmission systems, Outcome assessment (Medical care), Nursing assessment, Digital techniques
Format
Document (PDF)
web-based automated classification system for nursing language based on nursing theory
Title
A web-based automated classification system for nursing language based on nursing theory.
Creator
Dass, Subhomoy D., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Health care systems consist of various individuals and organizations that aim to meet the health care needs of people and provide a complete and responsive health care solution. One of the important aspects of a health care delivery system is nursing. The use of technology is a vital aspect for delivering an optimum and complete nursing care to individuals; and also for improving the quality and delivery mechanism of nursing care. The model proposed in this thesis for Nursing Knowledge...
Show moreHealth care systems consist of various individuals and organizations that aim to meet the health care needs of people and provide a complete and responsive health care solution. One of the important aspects of a health care delivery system is nursing. The use of technology is a vital aspect for delivering an optimum and complete nursing care to individuals; and also for improving the quality and delivery mechanism of nursing care. The model proposed in this thesis for Nursing Knowledge Management System is a novel knowledge-based decision support system for nurses to capture and manage nursing practice, and further, to monitor nursing care quality, as well as to test aspects of an electronic health record for recording and reporting nursing practice. As a part of a collaborative research of the Christine E. Lynn College of Nursing and the Department of Computer Science, a prototype toolset was developed to capture and manage nursing practice in order to improve the quality of care. This thesis focuses on implementing a web based SOA solution for Automated Classification of Nursing Care Categories, based on the knowledge gained from the prototype for nursing care practice.
Show less
Date Issued
2011
PURL
http://purl.flvc.org/FAU/3332184
Subject Headings
Nursing, Quality control, Outcome asssessment (Medical care), Nursing assessment, Digital techiques, Nursing, Computer-assisted instruction, Nursing informatics
Format
Document (PDF)