• International Journal of Computer Science & Network Security
• /
• v.21 no.12spc
• /
• pp.597-603
• /
• 2021

The current Sudanese preschool system depends on limited methods of education, children's education needs to be equipped to keep pace with technological development, also, the large gap that exists between the families and the Kindergartens, where many parents have no idea on how their child progresses in the KG context. The aim of this research is to integrate ICT in the preschool education to enhance and improve the preschool education, by building an Integrated Educational Application (Computerized Application for Preschool Education CAPE) which will help to improve the learning outcomes. The researchers used the Experimental Research Methodology, the characteristic of CAPE application is; suitable for children's age, the application style is more attractive to the children and contains a different way to help children get learning. Alawaeel and the Smart Child Kindergartens in Republic of Sudan were selected as a sample of the study, with sample size specifically, 50 children's. Also, the Central Bank of Sudan Kindergarten was selected as one of the institutional Kindergartens for easy communication with parents of children with a sample size 21 children. The study found that; using CAPE application in KG enables children to increase general learning effects and developing child's cognitive skills. Also, the children who were allowed to use CAPE by their parents are performed better in the overall evaluation of KG lessons. Also, using the CAPE in the Pre-School education helps the parents following their children's progress better and more reliable. The researcher recommends that to apply the computerized application and includes the second level. Also, converting the computerized program into an application to be used by children by their self, without the intervention of parents.

• Journal of Convergence for Information Technology
• /
• v.9 no.2
• /
• pp.108-114
• /
• 2019

In this paper, we propose an intelligent vocabulary recommendation agent that automatically provides vocabulary corresponding to game-based learners' needs and requirements in the mobile education augmented reality game environment. The proposed agent reflects the characteristics of mobile technology and augmented reality technology as much as possible. In addition, this agent includes a vocabulary reasoning module, a single game vocabulary recommendation module, a battle game vocabulary recommendation module, a learning vocabulary list Module, and a thesaurus module. As a result, game-based learners' are generally satisfied. The precision of context vocabulary reasoning and thesaurus is 4.01 and 4.11, respectively, which shows that vocabulary related to situation of game-based learner is extracted. However, In the case of satisfaction, battle game vocabulary(3.86) is relatively low compared to single game vocabulary(3.94) because it recommends vocabulary that can be used jointly among recommendation vocabulary of individual learners.

• Journal of Science Education
• /
• v.43 no.1
• /
• pp.79-93
• /
• 2019

There have been great concerns on induction, deduction, abduction, and hypothetical deductive method as scientific method and logic behind the method. However, as seen from the similar logic structure of abduction and hypothetical deductive method logic, distinction of those four terms could be unclear. This study investigates statements of science instruction textbooks concerning those terms to analyze their meaning as scientific method or in the context of inquiry. For this purpose, related statements are extracted from seven textbooks to investigate the definitions and examples of those terms and relation among these terms by focusing on coherence of usage of the terms and the possibility of clear distinction among the terms. We find that those terms do not have coherent meanings in the textbooks and many statements make it hard to distinguish the meanings of the terms. Finally the origin of the confusion and educational implication is discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.10
• /
• pp.3729-3749
• /
• 2021

At present, deep convolution network-based salient object detection (SOD) has achieved impressive performance. However, it is still a challenging problem to make full use of the multi-scale information of the extracted features and which appropriate feature fusion method is adopted to process feature mapping. In this paper, we propose a new adjacency auxiliary network (AANet) based on multi-scale feature fusion for SOD. Firstly, we design the parallel connection feature enhancement module (PFEM) for each layer of feature extraction, which improves the feature density by connecting different dilated convolution branches in parallel, and add channel attention flow to fully extract the context information of features. Then the adjacent layer features with close degree of abstraction but different characteristic properties are fused through the adjacent auxiliary module (AAM) to eliminate the ambiguity and noise of the features. Besides, in order to refine the features effectively to get more accurate object boundaries, we design adjacency decoder (AAM_D) based on adjacency auxiliary module (AAM), which concatenates the features of adjacent layers, extracts their spatial attention, and then combines them with the output of AAM. The outputs of AAM_D features with semantic information and spatial detail obtained from each feature are used as salient prediction maps for multi-level feature joint supervising. Experiment results on six benchmark SOD datasets demonstrate that the proposed method outperforms similar previous methods.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.697-710
• /
• 2021

This paper attempts to study the impact of Financial Literacy on Youth Entrepreneurial Intent in Pakistan. A closed-ended self-administered structured questionnaire covering financial literacy, computer knowledge, financial attitude, and financial knowledge with Entrepreneurial Intent was collected from young entrepreneurs. The research tried to investigate the education level with computer skill to inspect the effect of financial literateness on young generation Entrepreneurial Intent in the context of Pakistan. The research model was tested using PLS-SEM and authenticating a measurement model through the advanced methodology and their association with Entrepreneurial Intent. Results revealed that financial literacy and its two parts (financial attitude and financial knowledge) have a positive impact on Entrepreneurial Intent. The size of the joint impact of financial literacy and its components on Entrepreneurial Intent was assessed to be adequate. Entrepreneurial Intent is essential for creating new firms to maintain economic development. Furthermore, it is determined in this research that if youth has better financial knowledge and financial attitude, the probability of Entrepreneurial Intent increases. This suggests that if the youth in Pakistan desire to attain a higher limit of Entrepreneurial Intent, they must implement financial literacy models for enhancing and promoting their current Entrepreneurial Intent.

• Journal of the Korean Chemical Society
• /
• v.65 no.1
• /
• pp.37-47
• /
• 2021

In this study, the model cognition level of high school science-gifted students about the two types of acid-base models taught in secondary schools was analyzed. In order to find out the model cognition level of students, 12 items were developed based on the acid-base reaction and the dissociation reaction of acids and bases. The subjects of the study were 95 students of two science-gifted schools. As a result of the questionnaire analysis, model cognition levels were analyzed 6 levels in the context of consistency, inconsistency, and unexplainable scope of the two models. In the acid-base reaction item, the largest percentage of students cognized only understanding of the two models. In the acid-base dissociation reaction item, they understood the two models and perceived the 'Known Ignorance' that cognizes the limitations of one model. However, there was only one student who perceived the limitations of both models and all of the 'Unknown Ignorance' that the model could not explain. Through this, we argued that there is a need for educational efforts to raise the model cognition level of science-gifted students.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.83-91
• /
• 2021

Health is an outset of psychological, social, financial, and physical state. Several macroeconomic factors are entangled with health and mortality. Infant mortality and life expectancy are two keyguard on demographic research context on last few decades. On the other hand, foreign inflows play an unprecedent role for raising economic circulation and providing more opportunities to build a better society. The study aims to investigate the relationship between foreign direct investment (FDI), economic growth, and Bangladesh's health. This study employs time-series data from 1980 to 2018. Results show, with Auto-regressive Distribute Lag (ARDL) model, that there is significant cointegration among variables. Foreign investment and economic output relate significantly and positively to health. On the contrary, education is quasi-linked with a different sign-on different model. For model validation, pitfalls of time-series multicollinearity, heteroscedasiticy, and autocorrelation are not present. Also, CUSUM and CUSUMSQ tests are validating the model as stable and fit for future prediction. Medical assessment and education need more attention from the government as well as the private sector. FDI can play a catalyst role for improving the health sector, raising opportunity in educating and creating a better lifestyle. In order to optimize foreign investment, the government should implement necessary reforms and policies.

• Journal of Korean society of Dental Hygiene
• /
• v.20 no.6
• /
• pp.865-874
• /
• 2020

Objectives: This study aimed to analyze the current status and educational contents of the geriatric-related curriculum in dental hygiene departments at colleges across the country. Methods: To analyze the current status of geriatric curriculum, it was investigated by searching the websites of colleges across the country where dental hygiene (curriculum) department was available. Furthermore, a literature review of domestic and foreign textbooks related to geriatric dental hygiene was conducted to analyze the contents of geriatric dental hygiene curriculum. Results: Among colleges that offer dental hygiene (curriculum) department, 8 four-year and 12 three-year colleges (24.4%) offered geriatric dental hygiene courses. A comparison of the contents of the textbooks titled "Geriatric dental hygiene" published by Goonja, Daehan Narae, and Komoonsa showed that basic contents such as the characteristics, health problems, and oral health problems of elderly -people were described in the same context. However, there was a difference in the volume and importance of the concerned contents also. Conclusions: Universities and related organizations which offer dental hygiene curriculum should continue to conduct studies for the development of geriatric hygiene curricula. Moreover, heightened efforts are needed to ensure that geriatric dental hygiene education is more systematically offered.

• International Journal of Computer Science & Network Security
• /
• v.21 no.4
• /
• pp.103-114
• /
• 2021

A conceptual model can be used to manage complexity in both the design and implementation phases of the system development life cycle. Such a model requires a firm grasp of the abstract principles on which a system is based, as well as an understanding of the high-level nature of the representation of entities and processes. In this context, models can have distinct architectural characteristics. This paper discusses model multiplicity (e.g., unified modeling language [UML]), model singularity (e.g., object-process methodology [OPM], thinging machine [TM]), and a heterogeneous model that involves multiplicity and singularity. The basic idea of model multiplicity is that it is not possible to present all views in a single representation, so a number of models are used, with each model representing a different view. The model singularity approach uses only a single unified model that assimilates its subsystems into one system. This paper is concerned with current approaches, especially in software engineering texts, where multimodal UML is introduced as the general-purpose modeling language (i.e., UML is modeling). In such a situation, we suggest raising the issue of multiplicity versus singularity in modeling. This would foster a basic appreciation of the UML advantages and difficulties that may be faced during modeling, especially in the educational setting. Furthermore, we advocate the claim that a multiplicity of views does not necessitate a multiplicity of models. The model singularity approach can represent multiple views (static, behavior) without resorting to a collection of multiple models with various notations. We present an example of such a model where the static representation is developed first. Then, the dynamic view and behavioral representations are built by incorporating a decomposition strategy interleaved with the notion of time.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.275-288
• /
• 2021

This study was attemted to grasp the factors affecting the clinical decision-making ability of nurse. Data were collected from 156 nurse working in hospital in G-do. Analysis was done using t-test, ANOVA, Pearson correlation coefficient, and Multiple regression with IBM SPSS WIN/25.0. The most influential factor on the subjects' clinical decision-making ability was nursing Research 'very interest', critical thinking tendency, 'master/doctor', clinical experience 'more than 20 years and 1 month', moral behavior, nursing research 'important', 'single', clinical work experience '5 years, 1 month-10 years', department work experience '3 years 1 month-5 years'. The explanatory power was 51.4%. It was significant in that it was confirmed that interest and importance, moral behavior, academic background, and career are variables that influence clinical decision-making ability. The results of this study can be utilized as basic data for the development of intervention plans and programs that can increase clinical decision-making ability in the context of an ethical dilemma. In addition, developing and verifying educational programs that can increase clinical decision-making abilities in ethical dilemmas is needed.