Integrated engineering skills for improving the system competence level

2009 ◽  
Vol 14 (6) ◽  
pp. 325-335 ◽  
Author(s):  
Andreas Riel ◽  
Serge Tichkiewitch ◽  
Richard Messnarz
Keyword(s):  
Competence Level

scholarly journals Nurses Knowledge on Management of Patient Receiving Spinal Anaesthesia in a Government Hospital

2019 ◽  
Vol 2 (2) ◽  
pp. 126-132
Author(s):  
Elisha Rijal ◽  
Suvekshya Silwal ◽  
Sheela Thapa ◽  
Saraswati Basnet ◽  
Subhadra Bhagat
Keyword(s):  
Nursing Care ◽  
Spinal Anaesthesia ◽  
Sampling Method ◽  
Descriptive Study ◽  
Age Group ◽  
Physiological Changes ◽  
Government Hospital ◽  
Cross Sectional ◽  
Competence Level ◽  
Self Administered Questionnaire

Introduction: Spinal Anaesthesia (SA) is a form of regional anaesthesia involving injection of a local anaesthetic into the subarachnoid space. SA is directly related to nervous system, so its mismanagement may cause various complications hence, prevention and management of complication is a vital and complex aspect of critical nursing care. Therefore, the objective of this study was to assess the nurse’s knowledge on the management of patient receiving spinal anaesthesia. Methodology: A cross-sectional descriptive study was conducted among nurses of Koshi Zonal Hospital of Province no. 1, Biratnagar, Nepal from May to June 2017. Non-probability purposive sampling method was used where self-administered questionnaire was administered among 67 working nurses in the hospital. Results: The majority of the respondents (77.6%) belonged to 20-30 years of age group, nearly half (44.8%) of the respondents had completed PCL nursing. Only 67.2% explained the meaning of anaesthesia, and 58.2% had knowledge on physiological changes after SA. Regarding ambulation and cause of backache, 29.9% had knowledge whereas only 20.9% had knowledge about management of post spinal backache. Respondents facing problem to manage the complication after SA was 13.4%. This study also found that the overall knowledge regarding SA was adequate among 80.6% respondents. Conclusion: Nurses as the key personnel in management and prevention of complication, the obtained result was below the desired competence level among working nurses as it is the vital aspect of critical nursing care.

scholarly journals The engineering skills training process modeling using dynamic bayesian nets

2021 ◽  
pp. 87-96
Author(s):  
Andrey Chukhray ◽  
Olena Havrylenko
Keyword(s):  
Bayesian Networks ◽  
Bayesian Network ◽  
Learning Process ◽  
Probabilistic Inference ◽  
Dynamic Bayesian Network ◽  
Computer Training ◽  
Skills Training ◽  
Dynamic Bayesian Networks ◽  
Competence Level ◽  
Intelligent Computer

The subject of research in the article is the process of intelligent computer training in engineering skills. The aim is to model the process of teaching engineering skills in intelligent computer training programs through dynamic Bayesian networks. Objectives: To propose an approach to modeling the process of teaching engineering skills. To assess the student competence level by considering the algorithms development skills in engineering tasks and the algorithms implementation ability. To create a dynamic Bayesian network structure for the learning process. To select values for conditional probability tables. To solve the problems of filtering, forecasting, and retrospective analysis. To simulate the developed dynamic Bayesian network using a special Genie 2.0-environment. The methods used are probability theory and inference methods in Bayesian networks. The following results are obtained: the development of a dynamic Bayesian network for the educational process based on the solution of engineering problems is presented. Mathematical calculations for probabilistic inference problems such as filtering, forecasting, and smoothing are considered. The solution of the filtering problem makes it possible to assess the current level of the student's competence after obtaining the latest probabilities of the development of the algorithm and its numerical calculations of the task. The probability distribution of the learning process model is predicted. The number of additional iterations required to achieve the required competence level was estimated. The retrospective analysis allows getting a smoothed assessment of the competence level, which was obtained after the task's previous instance completion and after the computation of new additional probabilities characterizing the two checkpoints implementation. The solution of the described probabilistic inference problems makes it possible to provide correct information about the learning process for intelligent computer training systems. It helps to get proper feedback and to track the student's competence level. The developed technique of the kernel of probabilistic inference can be used as the decision-making model basis for an automated training process. The scientific novelty lies in the fact that dynamic Bayesian networks are applied to a new class of problems related to the simulation of engineering skills training in the process of performing algorithmic tasks.

scholarly journals Aproximación a la competencia digital docente en la formación profesional

2021 ◽  
Vol 21 (67) ◽  
Author(s):  
Cristóbal Suárez Guerrero ◽  
Alicia Ros Garrido ◽  
Jorge Lizandra
Keyword(s):  
Teaching Practice ◽  
Learning Assessment ◽  
Digital Competence ◽  
Digital Ecosystem ◽  
Competence Level ◽  
Teaching Competence ◽  
Self Learning ◽  
Depth Interviews ◽  
Aprendizaje Colaborativo ◽  
Competencia Digital

El mundo requiere personas con conocimientos, habilidades y actitudes que permitan un desarrollo completo de la ciudadanía en un ecosistema digital. Una respuesta educativa a esta exigencia social es la competencia digital. Así, esta finalidad exige niveles óptimos de desarrollo de la Competencia Digital Docente (CDD), en especial en el sector de la Formación Profesional (FP). Con la idea de atender este contexto educativo, en este trabajo se propone un marco de comprensión que integra de forma unitaria la visión sobre la pedagogía, los recursos y la evaluación para entender, evaluar y proponer mejoras en la competencia digital del profesorado de FP. Empleando un enfoque cualitativo, se realizaron once entrevistas en profundidad sobre la CDD del profesorado de FP de la provincia de Valencia (España). Estos datos fueron analizados desde la caracterización de 4 escenarios educativos con tecnología (aprendizaje individual, la enseñanza con TIC, aprendizaje colaborativo y autoaprendizaje del alumnado). La principal conclusión detectada es que los docentes entrevistados tienen conocimientos de algunos recursos y aplicaciones tecnológicas, actitud y capacidad para incorporarlos a su práctica docente. En cambio, no integran la tecnología en la evaluación de los aprendizajes al mismo nivel competencial que en las otras dimensiones. World requires people with knowledge, skills and attitudes that allow a full development of citizenship in a digital ecosystem. An educational response to this social demand is digital competence. Thus, this purpose requires optimal levels of Digital Teaching Competence (DTC), especially in the Vocational Education Training (VET) sector. With the aim of ​​attending to this educational context, this work proposes a understanding framework that integrates the vision of pedagogy, resources and evaluation to understand, evaluate and propose improvements in the digital competence of VET teachers. Using a qualitative approach, eleven in-depth interviews were conducted on the DTC of VET teachers in the province of Valencia (Spain). These data were analysed from the categorization of 4 educational scenarios with technology (individual learning, teaching with ICT, collaborative learning and student self-learning). The main conclusion detected is that interviewed teachers have knowledge of some technological resources and applications, attitude and ability to incorporate them into their teaching practice. However, they do not integrate technology in the learning assessment at the same competence level as in the other dimensions.

scholarly journals РІВНІ ІНШОМОВНОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ ФАХІВЦІВ СОЦІАЛЬНОЇ СФЕРИ

2019 ◽  
pp. 16-20
Author(s):  
Павелків К. М.
Keyword(s):  
Experimental Data ◽  
Foreign Language ◽  
Experimental Research ◽  
Point Of View ◽  
Language Training ◽  
Self Assessment ◽  
Language Competence ◽  
Social Sphere ◽  
Competence Level ◽  
The University

The article presents the results of experimental research of foreign language competence level of future social sphere specialist. The experimental data are compared with the results of students’ under study self-assessment of their foreign language competence level. The article shows the results of the influence of methodological system of foreign language training of future social sphere specialist on the increase of the level of foreign language competence among participants of experimental groups. Creative, medium, satisfactory and unsatisfactory levels of foreign language competence of future social sphere specialist are characterized from the point of view students’ reflexion. The research approves the effectiveness of pedagogical influences introduced at the forming stage of the experiment through approbation of the author’s methodical system of foreign language training in the university.

Competence development in palliative care in Norway: A description and evaluation of a postgraduate education program in palliative care in Drammen, Norway

2004 ◽  
Vol 2 (2) ◽  
pp. 157-162 ◽  
Author(s):  
BJØRG TH. LANDMARK ◽  
ASTRID K. WAHL ◽  
ANN BØHLER
Keyword(s):  
Palliative Care ◽  
Clinical Practice ◽  
Education Program ◽  
Palliative Treatment ◽  
Positive Impact ◽  
Postgraduate Education ◽  
Perceived Competence ◽  
Competence Development ◽  
Competence Level ◽  
University College

Objective:The aim of the present study was to evaluate competence development in palliative treatment, nursing and care in students (n= 25) undergoing a two-year postgraduate education program in palliation at a university college in Norway.Methods:A questionnaire was handed out on five occasions during the education period.Results:Results showed that the students rated their competence level as between some competence and good competence before entering the course. However, the competence level rose throughout the course period, and at the end of their education most of the students perceived themselves at a very good or extremely good competence level.Significance of results:Statistically significant differences in all questions measuring competence in palliation were found on all occasions. Further studies are needed to confirm the effect of education on students' perceived competence development and whether it has a positive impact on clinical practice.

The Study of Teacher Competence of Management Teachers in National Capital Region of India

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Kanupriya M. Bakhru ◽  
Dr. Seema Sanghi ◽  
Dr. Y. Medury
Keyword(s):  
Research Study ◽  
Rating Scale ◽  
Simple Random Sampling ◽  
Teacher Competence ◽  
National Capital Region ◽  
Teacher Gender ◽  
Capital Region ◽  
Competence Level ◽  
National Capital ◽  
The Relationship

The research study aimed to determine the teacher competence level and investigate the relationship between teacher gender, age, qualification, experience, position level, publication, Institute type and teacher competence of management teachers at management institutes in the National Capital Region (NCR) of India. The method of survey research was through questionnaire. The unit of analysis was management teachers, 320 were selected by simple random sampling methods from NCR region of India. The instrument used for collecting data was 5–item rating scale questionnaire pertaining to teacher competencies. The Cronbach’s Alpha coefficient for the reliability was 0.85. The statistical devices used in analyzing data were descriptive statistics; percentage, arithmetic mean, standard deviation to determine the teacher competence level and employed the "t" test, Anova and Correlations coefficient to investigate the relationship between teacher gender, age, qualification, experience, position level, publication, Institute type and teacher competence.

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