scholarly journals Knowledge Transfer Based Local Wisdom by Learning Method Buddy Program In District Bengkayang

2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Priska Vasantan ◽  
Helena Anggraeni Tjon
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
English Language ◽  
Learning Method ◽  
Learning Methods ◽  
Is Research ◽  
Management Knowledge

<span class="ShortAbstract"><em><span>Knowledge transfer is one of knowledge management. Knowledge transfer based on local wisdom is very helpful in learning methods in schools and universities, especially at the outermost district in Indonesia. This study is research in one school that located in Bengkayang which is one of the districts the outermost in Indonesia that the student has behind from academic, computer ability, Indonesian language, English language, etc. Therefore this study aims to show the importance of knowledge transfer based on local wisdom in learning in this school. The aim of this research is to show that knowledge transfer based on local wisdom is very helpful in learning method especially at district Bengkayang, one of the outermost district in Indonesia. </span></em></span>

THE INFLUENCE OF INQUIRY AND DISCOVERY LEARNING METHOD AND CREATIVITY LEVEL IN WRITING SKILLS DESCRIPTION IN NAUTIC TARUNA AND TECHNIQUE IN SURABAYA SHIPPING POLYTECHNIC

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Ni Putu Dian Permata Prasetyaningrum
Keyword(s):  
Quantitative Methods ◽  
Writing Skills ◽  
Discovery Learning ◽  
Learning Method ◽  
Test Results ◽  
Learning Methods ◽  
Is Research ◽  
Investigation Methods ◽  
High Level ◽  
Discovery Method

Surabaya Shipping Polytechnic emphasizes on certain areas of expertise that Taruna must possess. This is the basis after graduating from shipping polytechnics, cadets must have expertise and skills. The purpose of this study was to study the effect of inquiry, discovery learning, and creativity levels on the ability to write descriptive essays on nautical and technical cadets at Surabaya Shipping Polytechnic. This type of research is research. This research uses quantitative methods using experiments. The location used in this research is Surabaya Shipping Polytechnic. The subjects in this study were the cadets of the Nautika A, Nautika B, Teknika A, and Teknika B. classes. Based on the results of the research and discussion, the following conclusions are obtained: There are those that can be solved looking for description essays in the cadets. learning discovery method. The test results show better investigation methods than the discovery of learning, There is a difference in the ability to write a description essay about cadets who have a high level of creativity with cadets who have a low level of creativity, the test results show better who have a high level of creativity, there are related with learning methods and descriptions of the ability to write essay descriptions, the test results show learning methods and creativity descriptions of the ability to write essay descriptions.

Knowledge of Management Tools and Systems in SMEs

2017 ◽  
pp. 180-203
Author(s):  
Adam Pawliczek ◽  
Miroslav Rössler
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Management System ◽  
Knowledge Management System ◽  
Competitive Intelligence ◽  
Management Tools ◽  
Research Results ◽  
Management Knowledge ◽  
Professional Business ◽  
The Competitiveness Of Enterprises

The chapter deals with knowledge management principles and their implication to knowledge in management represented by contemporary sophisticated management tools and systems. The most important management branches and methods, tools and systems, generally considered as very helpful for professional business operating, are presented. Further research results of management tools knowledge in contemporary enterprises are presented impacting the need of education and knowledge transfer in management responsible positions. The need of management knowledge for the competitiveness of enterprises is accented. Business and competitive intelligence as media for competitiveness are introduced. In the last part of the chapter, a model of the knowledge management system applicable in SMEs is suggested. The purpose of the chapter is to make the reader familiar with some of the most important management tools, methods and systems and suggest principles for an easy and effective knowledge management system in the enterprise.

scholarly journals THE IMPACT OF COOPERATIVE LEARNING METHOD ON YEMENI ADULT STUDENTS’ KNOWLEDGE OF GLOBAL ISSUES VOCABULARY

2020 ◽  
Vol 5 (34) ◽  
pp. 102-115
Author(s):  
Lamis Abdulkarim Al-Shuga’a ◽  
Kamariah Yunus ◽  
Mohammed Abdulgalil Abugohar
Keyword(s):  
Cooperative Learning ◽  
Adult Students ◽  
English Language ◽  
Vocabulary Knowledge ◽  
Learning Method ◽  
Learning Methods ◽  
Global Issues ◽  
Positive Effects ◽  
The Impact ◽  
Experimental Group

The cooperative learning method is one of the most effective student-centered learning methods used in teaching English language classes. It is an updated and effective pedagogic method that should be integrated into classrooms. The previously reviewed studies showed that the use of cooperative learning method may improve students’ knowledge of the language. This paper aims at investigating the impact of cooperative learning methods on Yemeni adult students’ knowledge of global issues vocabulary. The study employed an experimental method research design where the quantitative data collection method was conducted. A pretest and posttest (of the same test) were administered to the 25 respondents in the experimental group and the other 25 respondents in the control group. The Statistical Package for Social Sciences (SPSS) version 25.0 was used to analyse the difference between the two groups’ performance using the t-test. Results showed that the students in the experimental group performed significantly better than the students in the comparison group in the required tasks relating to global issues vocabulary knowledge. Findings also indicated that the cooperative learning method had positive effects on students’ vocabulary knowledge in classrooms. The participants gained confidence and their language skills were improved. Social skills like leadership, decision-making, trust-building, communication, and conflict-management skills were also developed. The study concludes that cooperative learning contributes to cognitive growth, increased autonomy and productivity of adult learners. The cooperative learning method should be integrated into English language classrooms to improve the growth and productive knowledge of students at the tertiary level.

Knowledge of Management Tools and Systems in SMEs

2021 ◽  
pp. 966-989
Author(s):  
Adam Pawliczek ◽  
Miroslav Rössler
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Management System ◽  
Knowledge Management System ◽  
Competitive Intelligence ◽  
Management Tools ◽  
Research Results ◽  
Management Knowledge ◽  
Professional Business ◽  
The Competitiveness Of Enterprises

The chapter deals with knowledge management principles and their implication to knowledge in management represented by contemporary sophisticated management tools and systems. The most important management branches and methods, tools and systems, generally considered as very helpful for professional business operating, are presented. Further research results of management tools knowledge in contemporary enterprises are presented impacting the need of education and knowledge transfer in management responsible positions. The need of management knowledge for the competitiveness of enterprises is accented. Business and competitive intelligence as media for competitiveness are introduced. In the last part of the chapter, a model of the knowledge management system applicable in SMEs is suggested. The purpose of the chapter is to make the reader familiar with some of the most important management tools, methods and systems and suggest principles for an easy and effective knowledge management system in the enterprise.

scholarly journals STUDENTS’ PERCEPTIONS AND ATTITUDES TOWARDS THE LEARNING OF GLOBAL ISSUES VOCABULARY USING COOPERATIVE LEARNING METHODS

2020 ◽  
Vol 5 (36) ◽  
pp. 150-161
Author(s):  
Lamis Abdulkarim Al-Shuga'a ◽  
Kamariah Yunus
Keyword(s):  
Cooperative Learning ◽  
English Language ◽  
Survey Method ◽  
Learning Method ◽  
Learning Methods ◽  
Student Centered ◽  
Student Centered Learning ◽  
Intervention Phase ◽  
Global Issues ◽  
Perceptions And Attitudes

As a matter of fact, the cooperative learning method is considered one of the most effective student-centered learning methods used in teaching English language classes. It is an updated and effective pedagogic method that should be incorporated in classrooms. The previously reviewed studies showed that group work is better than individual work since student-centered learning methods may improve students’ knowledge of the language because of their effective cooperative engagement. This paper aims at investigating students' perceptions and attitudes towards the learning of global issues vocabulary using cooperative learning methods. The study employed a survey method research design where the quantitative data collection method was conducted. 25 participants are subjected to the intervention phase for seven weeks (40 hours) at MALI institute in Taiz, Yemen. Then a well-prepared questionnaire was conducted on the participants within a period of two days, immediately after the intervention phase. The descriptive statistic SPSS (Statistical Package for Social Sciences) version 25.0 was used to analyze data. Percentages were used for the questionnaire. The results from the questionnaire indicated that cooperative learning techniques had positive effects on students’ writing in classrooms. The participants gained confidence and their language skills were improved. Social skills like leadership, decision-making, trust-building, communication, and conflict-management skills were also developed. The study concludes that cooperative learning contributes to cognitive growth, increased autonomy, and productivity. The cooperative learning method should be integrated into English language classrooms to improve the growth and productive knowledge of students.

scholarly journals Integrating Machine/Deep Learning Methods and Filtering Techniques for Reliable Mineral Phase Segmentation of 3D X-ray Computed Tomography Images

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4595
Author(s):  
Parisa Asadi ◽  
Lauren E. Beckingham
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Random Forest ◽  
Ct Images ◽  
Ct Imaging ◽  
Learning Method ◽  
Learning Methods ◽  
X Ray ◽  
Machine Learning Methods ◽  
Filtering Techniques

X-ray CT imaging provides a 3D view of a sample and is a powerful tool for investigating the internal features of porous rock. Reliable phase segmentation in these images is highly necessary but, like any other digital rock imaging technique, is time-consuming, labor-intensive, and subjective. Combining 3D X-ray CT imaging with machine learning methods that can simultaneously consider several extracted features in addition to color attenuation, is a promising and powerful method for reliable phase segmentation. Machine learning-based phase segmentation of X-ray CT images enables faster data collection and interpretation than traditional methods. This study investigates the performance of several filtering techniques with three machine learning methods and a deep learning method to assess the potential for reliable feature extraction and pixel-level phase segmentation of X-ray CT images. Features were first extracted from images using well-known filters and from the second convolutional layer of the pre-trained VGG16 architecture. Then, K-means clustering, Random Forest, and Feed Forward Artificial Neural Network methods, as well as the modified U-Net model, were applied to the extracted input features. The models’ performances were then compared and contrasted to determine the influence of the machine learning method and input features on reliable phase segmentation. The results showed considering more dimensionality has promising results and all classification algorithms result in high accuracy ranging from 0.87 to 0.94. Feature-based Random Forest demonstrated the best performance among the machine learning models, with an accuracy of 0.88 for Mancos and 0.94 for Marcellus. The U-Net model with the linear combination of focal and dice loss also performed well with an accuracy of 0.91 and 0.93 for Mancos and Marcellus, respectively. In general, considering more features provided promising and reliable segmentation results that are valuable for analyzing the composition of dense samples, such as shales, which are significant unconventional reservoirs in oil recovery.

scholarly journals Training Preferences of School Food Service Staff Vary by Role in the School Nutrition Program

2020 ◽  
Vol 18 (1) ◽  
pp. 50
Author(s):  
Leia Flure ◽  
Melissa Pflugh Prescott ◽  
Whitney Ajie ◽  
Trinity Allison ◽  
Jennifer McCaffrey
Keyword(s):  
Professional Development ◽  
The United States ◽  
School Nutrition ◽  
Training Needs ◽  
Learning Method ◽  
Learning Methods ◽  
Chi Square ◽  
Job Experience ◽  
Training Topic ◽  
And Training

Professional development has been identified as a critical component for school nutrition professionals (SNPs) to successfully implement school meal standards in the United States. However, training needs may vary based on different factors. This study examined (1) the topics of highest priority for SNPs; (2) preferred learning methods; (3) where and when trainings should be conducted; and (4) whether responses differ according to important factors including position type, school locale (urban vs. rural), or job experience. Participants completed surveys that included questions on demographics and preferences for learning methods and training topics (n = 492). Descriptive statistics characterized survey responses. Chi square tests assessed differences in learning method and training topic preferences by participant role, locale, and job experience; Cramer’s V assessed the strength of association for each chi square result. Qualitative responses to open-ended questions were analyzed using an inductive thematic analysis method. Nearly all training topic preferences were significantly different (p < 0.001 using Bonferroni method) when stratified by role. Significant differences were also observed for school locale and years of experience, but to a lesser degree. There was less variation in learning method preferences across staff role. Qualitative results (n = 93) identified three key themes related to training needs: role-specific trainings, innovative learning methods, and geographic access. The combination of quantitative and qualitative analysis indicate that professional development for SNPs should mostly be conducted in-person, be easily accessible, and include hands-on activities. Further, training should be tailored by job role and address situational barriers unique to the geographic area.

A model of mobile technologies acceptance for knowledge transfer by employees

2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Conceptual Model ◽  
Mobile Devices ◽  
Mobile Technologies ◽  
Intention To Use ◽  
Content Type ◽  
Model Based ◽  
New Variables ◽  
Practical Implications

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

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