• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.181-187
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• 2021

The purpose of this study is to examine empirically the short- and long-run determinants of entrepreneurial activity in a sample of 15 the Middle East and North African economies between 2006 and 2018. More specifically, four groups of determinants are considered in the analysis, namely economic, demographic, business environment, and institutional. Given the autoregressive feature of the entrepreneurial activity process, a dynamic panel data model is estimated using the system GMM estimator. Findings reveal that unemployment, trade openness, population density, and economic freedom are the main drivers of new business creation in the short-run, while the cost and number of procedures to start a new business negatively affect entrepreneurship. In the long-run, the same findings hold true. Moreover, education and political stability and the absence of violence/terrorism positively affect entrepreneurial activity. Policy recommendations are accordingly designed.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.304-310
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• 2022

This research examines the views of teachers and parents of special schools in Saudi Arabia, exploring the schools' strengths and disadvantages, as well as their impact on teachers, parents, and students with disabilities. The respondents' key views of the schools are identified, including the areas of consensus and conflict, and recommendations are made for the future, based on the findings. This research concerns a specific special education school in Saudi Arabia, and focuses on the understanding of special education in the country. The approach to the study is targeted and qualitative, with the six participants, three teachers and three parents, intentionally selected. The data collection is conducted via semi-structured interviews that explore the participants' views of special education in Saudi Arabia. A number of issues emerge from the results, and one raised by all three teachers is the need to improve school facilities. Although all three parents report that their children clearly benefited from attending a special school, two felt that the offering was insufficient, in terms of the teaching methods, and of supporting cognitive skills.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.229-236
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• 2022

This study investigates the impact of flipped classroom strategy in developing students' achievement and acquisition of life skills. The study employed a quasi-experimental design where students were divided into two groups: an experimental (N=22) and a control (N=22). The randomly selected and assigned sample consisted of sixth-year elementary school students studying English as a basic course. The findings revealed statistically significant differences between the two group's means in both achievement and life skills tests in favor of the experimental group. Students of the experimental group who studied using the flipped classroom strategy outperformed the control group who studied in the standard way in achieving the English language and in the life situations test, where the effect size of the use of the strategy was large in both dependent variables. The study is concluded with some recommendations to facilitate the use of flipped classroom strategy for EFL teachers. This can be achieved by training teachers on using the strategy and providing technological resources at schools to implement the strategy efficiently.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.89-94
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• 2022

The Saudi Vision 2030 defined the directions of the national economy and market towards diversifying sources of income, and developing energy to become less dependent on oil. The study sought through a theoretical review to identify the reality of the energy sector and the areas of investment available in the field of renewable energy. Findings showed that investment in the renewable energy sector is a promising source according to solar, wind, hydrogen, geothermal energy and burning waste than landfill to extract biogas for less emission. The renewable energy sector faces challenges related to technology, production cost, price, quantity of production and consumption, and markets. The study revealed some recommendations providing and suggested electronic marketing system to provide investors and consumers with energy available from renewable sources.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.15-20
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• 2022

The study investigated the effects of differences in some electronic course designs on university students' Computational Thinking Skills (CTS). Towards this end, the researcher adopted the experimental research design of a quasi-experimental of two experimental groups. The first group was taught an e-course designed in a sequential pattern, and the other group's course was designed according to the holistic model. A CTSs test was prepared to collect the relevant data, and the data were analyzed statistically using these tests- Pearson correlation Mann Whitney and Alpha Cronbach. Results revealed statistically-significant differences at the level α=0.05 between the mean scores of the first and second experimental groups in favor of the latter in the CTS test. The findings gave ground to put forward some salient recommendations, including the need to expand computational thinking in universities' educational process. It also recommends urging faculty members to enhance e-courses in the educational process and provide technical support to students and faculty members.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.1-12
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• 2022

The current progression in the Internet of Things (IoT) and Machine Learning (ML) based technologies converted the traditional healthcare system into a smart healthcare system. The incorporation of IoT and ML has changed the way of treating patients and offers lots of opportunities in the healthcare domain. In this view, this research article presents a new IoT and ML-based disease diagnosis model for the diagnosis of different diseases. In the proposed model, vital signs are collected via IoT-based smart medical devices, and the analysis is done by using different data mining techniques for detecting the possibility of risk in people's health status. Recommendations are made based on the results generated by different data mining techniques, for high-risk patients, an emergency alert will be generated to healthcare service providers and family members. Implementation of this model is done on Anaconda Jupyter notebook by using different Python libraries in it. The result states that among all data mining techniques, SVM achieved the highest accuracy of 0.897 on the same dataset for classification of Parkinson's disease.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.117-122
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• 2021

The article considers the position of scientists on the concept of "pedagogical technology", identifies the signs of pedagogical technology and existing classifications, considers non-traditional (innovative) learning technologies, as well as their practical forms of application in the educational process, summarizes the results, makes recommendations for the practical application of the studied material. The article considered the basic concepts of pedagogical technology, as well as some types of non-traditional (innovative) teaching technologies. Also, examples of the use of some elements of innovative technologies in practical educational activities are given. The choice of specific non-traditional pedagogical technologies is determined by the target orientation, content specificity, individualization of training, technical equipment of the educational institution, etc.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.250-254
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• 2022

This study touched on the limitations of educational technologies in gifted students' schools depending on the learners' viewpoints. The descriptive approach was used, and the tool was represented in a questionnaire distributed to a sample of 196 gifted secondary school students in Jeddah. Results showed moderate obstacles to educational technologies in gifted students' schools. The general mean of the responses of the study sample was 2.76. based on the findings, the author suggested some recommendations to reduce the difficulties that gifted students face in using educational technologies, as well as provide gifted students with electronic applications in order to their development, and especially the development of school buildings for gifted students with modern devices to help them facilitate the use of technology.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.255-265
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• 2022

Educational programs for students with intellectual disabilities have undergone drastic changes in pursuit of the general curriculum. Accordingly, teachers in various fields, including mathematics, strive to find effective methods that enhance learning. The objective of this systematic review is to examine the field of teaching mathematics to students with intellectual disabilities to investigate relevant effective teaching strategies and required teaching skills. To achieve this goal, studies published during the period 2018-2021 were reviewed. Findings indicate the inclusion of nine studies that met the inclusion criteria out of 55 studies. The included studies found that the system of least prompts (SLP) in conjunction with feedback and error correction, and schema-based instruction are generally the most effective strategies in teaching mathematical skills to students with intellectual disabilities. Addition is the most targeted skill, followed by subtraction and algebra problem solving. The least targeted skills are multiplication, recognition of geometric shapes, calculating price after discount, rapid recognition of numbers, and rapid problem solving. The paper provides recommendations and suggests venues of future research.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.67-74
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• 2022

This study is a theoretical account of HRs requirements in educational institutions in light of the growing influence of digital technology on human rights. It intends to reveal prominent human and civilizational values encapsulated in modern human rights regulations. It dwells on educational and societal requirements for educational inclusion in the school and university curricula in light of changes that have taken place in HRs in the digital age. Relying on the descriptive documentary research design, the study concluded that HRs are inherently moral duties and fixed values. They include the importance of tolerance, freedom, peace, justice, science, work, and equality. Because education is arguably based on human and civilized values, educational foundations require intake of awareness, systematic integration and responsibility from all academic and community institutions, including family and media institutions. The article closes on a note of how technology has impacted human rights in the digital age. It provides implications and recommendations to pedagogies accordingly.