cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
INDONESIA
Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 1,058 Documents
 98   99   100   101   102 
The Phenomena of Learning Loss Experienced by Elementary School Students during the Covid-19 Post Pandemic Kertih, I Wayan; Widiana, I Wayan; Suwela Antara, I Gede Wahyu
Emerging Science Journal Vol. 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-014

Abstract

The COVID-19 pandemic caused most students to experience learning loss after joining online learning for almost 2 years. Learning loss is a student's condition experiencing learning setbacks academically due to the factors of the non-sustainable educational process. The study aimed at analyzing the learning loss phenomenon experienced by elementary school students in the COVID-19 post-pandemic situation. The study used a descriptive qualitative approach. The population of the study was 401,321 distributed students, and the sample was gained through conducting two sampling techniques, such as random cluster sampling and accidental sampling, with a final sample of 1,104 students. The data collection methodologies conducted were interview, observation, and questionnaire. The questionnaire used contained 15 questions that had been validated before. The data analysis of the study was conducted interactively using 3 techniques, such as data reduction, data display, and drawing conclusions. The descriptive analysis was conducted by using the Guttman scale with the percentage statistic technique. The result of the study showed that there were learning loss phenomena in the post-pandemic situation, a condition seen from the researched dimensions in the low and medium categories. Moreover, a high level of learning loss was found in the rural area. This was observed from several things, such as the learning facilities provided, the parent's role, and the learning methodologies conducted. To resolve learning loss, we need to participate all parties in the learning process, which in this context means mending a good relationship with the community and parents to improve the learning quality, which is assisted with innovative learning models. Doi: 10.28991/ESJ-2023-SPER-014 Full Text: PDF
Teachers' Perspectives on ICT Curriculum and Students' Learning Skills Lahiani, Hanene; Aljarrah, Hani Y.; Alqudah, Hatem; Alwaely, Suad A.
Emerging Science Journal Vol. 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SIED2-03

Abstract

Objectives: The role of technology in modern life is expanding rapidly. Educational technology has emerged as a crucial component in raising academic achievement worldwide. Teachers all over the world are now focusing on it. Therefore, this study examined the teachers' perspectives on the ICT curriculum and its effect on students' eLearning skills in the UAE. Methods/Analysis: Researchers used a questionnaire to gather the data to learn more about how technology is being used in UAE Model Schools. There were a total of 150 teachers (60 female and 90 male) from three different Abu Dhabi schools included in the study. In addition, the study used descriptive statistics for the analysis. Findings: The study's findings confirmed that teachers at both institutions use technology in the classroom. Novelty /Improvement:Practical implications for the United Arab Emirates support of technology are explored. Doi: 10.28991/ESJ-2023-SIED2-03 Full Text: PDF
Probabilistic Analysis Depending on the Distance from A COVID-19 Outbreak Areepong, Yupaporn; Sunthornwat, Rapin
Emerging Science Journal Vol. 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-012

Abstract

COVID-19 has been affecting human beings since the end of 2019. Studying the characteristics of a COVID-19 outbreak is significant because it will add to the knowledge that is necessary for protecting the general public and controlling future viral outbreaks. The aims of the present research are to analyze COVID-19 outbreaks in Thailand depending on the distance from the outbreak center by using a differential equation, to construct a probability density function from the solution of the differential equation, and to prove the theorem for the probability density function depending on the distance from the outbreak. The least-squares-error method is adopted to estimate the parameters of the function describing the COVID-19 outbreak. Moreover, a cumulative distribution function, a quantile function, a sojourn function, a hazard function, the median, the expected value, variance, skewness, and kurtosis are derived, and their practicability is shown. Applying the exponentially weighted moving average control chart to monitor a COVID-19 outbreak based on distance is proposed and compared with monitoring the COVID-19 outbreak based on time. The results show that using the former more quickly detected the out-of-control first passage time of the COVID-19 outbreak than the latter. Doi: 10.28991/ESJ-2023-SPER-012 Full Text: PDF
Space Law and Space Mining, Exploring New Horizons Amid COVID-19 Pandemic Drobnik, Marcin Jakub; Bimbilovski, Ivan; Pathak, Shubham
Emerging Science Journal Vol. 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-09

Abstract

This study analyses the current scenario with COVID-19 affecting the international and Thai space law, and its impacts and corresponding repercussions upon the Thai economy, ASEAN region and then at international level. The methodology adopted for this study is a mixed method with qualitative research tools collected from key informant interviews and focus group discussions. The data analysis involves the Strength, Weakness, Opportunity, and Threat (SWOT) analysis, which has been integrated with Hierarchical Thematic areas to provide the supporting model for wholesome recommendations through analyzing the findings from the research. The key respondents involved several government officials associated with Thai space agencies and departments, along with judges, lawyers, researchers, academicians, non-government organizations (NGO) officials, and law students. The findings provided the need for adoption of Treaty leading to the creation of a space organization which would be accountable towards setting up a legal framework for commencement of space mining operations. The international space tribunal is to be created under this international space organization to resolve any disputes arising out of space mining. The overall implications of this research would lead to the sharing of the benefits of space mining with both developed and developing countries to enhance sustainable development for all mankind. Doi: 10.28991/ESJ-2023-SPER-09 Full Text: PDF
Increasing the Effectiveness of Pedagogical Technologies in Education: Psychological Experience of Technological Change Management Kosov, Mikhail E.; Malashenko, Gevorg T.; Frumina, Svetlana V.; Grishina, Olga A.; Polyakova, Olga A.; Alandarov, Roman A.; Ponkratov, Vadim V.; Shmigol, Nataliya S.; Dzusova, Svetlana S.; Abbood, Abbas Abd Ali
Emerging Science Journal Vol. 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SIED2-05

Abstract

This paper investigates the psychology of change management involving a technological change in the educational organization and the administrative and teaching staff. In particular, the paper delineates the staff's psychological experience regarding the incorporation of pedagogical and educational technologies. In this regard, this article provides theoretical support based on the stimulus-organism-response theory, technological self-efficacy, and technological acceptance model and develops a theoretical model. A quantitative approach was applied to test the model, and research assumptions were drawn from the aforementioned theories. Particularly, disruptive statistics and correlation analysis were employed to test the assumption empirically by collecting data from 500 staff members. The research results highlight that a psychological response serves as the antecedent of the effectiveness of pedagogical and educational technologies, whereby the positive psychological responses (happiness, inspiration, or drive) would increase the effectiveness, while the negative psychological responses (anxiety, stress, and discomfort) would decrease it. This psychological response depends on the perceived self-efficacy and perceived ease of use of the staff, whose lower levels of the two raise the negative psychological response. Generally, to increase the effectiveness of pedagogical and educational technologies, it is essential to effectively manage the psychological well-being of the staff by reducing their negative psychological responses and developing their technological competence (self-efficacy and ability to use with ease). Doi: 10.28991/ESJ-2023-SIED2-05 Full Text: PDF
A Digital Model of Full-Cycle Training Based on the Zettelkasten and Interval Repetition System Malashenko, Gevorg T.; Kosov, Mikhail E.; Frumina, Svetlana V.; Grishina, Olga A.; Alandarov, Roman A.; Ponkratov, Vadim V.; Bloshenko, Tatyana A.; Sanginova, Lola D.; Dzusova, Svetlana S.; Hasan, Munther F.
Emerging Science Journal Vol. 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SIED2-01

Abstract

The study aims to propose and validate a new digital model based on the Zettelkasten and interval repetition system for comprehensive and full-cycle training of the students. The core idea is to enhance the learning experience and effectiveness of the given training course by enhancing the student's attention during the learning and long-term information retention. In pursuit of the aforementioned research aim, the study incorporates a quantitative research methodology by combining experiments and a survey. In particular, the effectiveness of the proposed model was assessed via an achievement assessment involving two groups of students and assessing their scores on the same test. This was followed by a metacognitive awareness survey of the two groups to investigate their perceived understanding and performance (with and without the use of a model). The proposed model was found to be effective in enhancing the learning experience and effectiveness of the students on the training course. The Zettelkasten facilitates the management of the student's attention, while the interval repetition system contributes to increased retention. The students that used this model in their learning and preparation scored better than their peers. Also, they reported a significantly higher understanding and awareness of their learning than their peers. The model can be incorporated into the learning process or the provision of training courses to the students. This study is the first to suggest the integration of Zettelkasten and the interval repetition system into one learning model for the students. The article proposes a practical model that can be incorporated by teachers to improve the learning effectiveness of their students. This article has some limitations as well that must be acknowledged. Doi: 10.28991/ESJ-2023-SIED2-01 Full Text: PDF
Behavior of Russian Premium Fashion Consumers and Designers after the COVID-19 Pandemic and International Sanctions Skorobogatykh, Irina I.; Shirochenskaya, Irina P.; Timokhina, Galina S.; Murtuzalieva, Taira V.; Mkhitaryan, Sergey V.
Emerging Science Journal Vol. 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-010

Abstract

The purpose of this paper was to investigate the emerging changes in Russian premium fashion brand consumers' behavior on the eve of the COVID-19 pandemic and international economic sanctions, the impact on foreign fashion brands' decisions to leave the market, and the willingness of some Russian fashion designers to scale their businesses and occupy vacated market niches. This problem had arisen for the first time; the situation is unexpected and unique. Therefore, the researchers combined multiple methods of data collection: (1) Observation; (2) Netnography to identify emerging changes in Russian consumers' behavior, which increases the objectivity of the data obtained since personal contact was excluded; and (3) Expert in-depth interviews to assess the situation by Russian fashion designers. QDA and qualitative content analysis were used. Fashion designers in Russia percept the situation as an opportunity for business development, similar to the situation that occurred in Iran, but entrepreneurs understand the market risks and expect more serious measures of state support for business. The results may inform state policymakers and stakeholders about the stated changes in consumer behavior and the capabilities of Russian entrepreneurs to scale the business, which will help identify possible growth vectors for domestic fashion designers in the premium sector. Doi: 10.28991/ESJ-2023-SPER-010 Full Text: PDF
Impact of COVID-19 on Oil and Gas Sector in Nigeria: A Condition for Diversification of Economic Resources Amuda, Yusuff Jelili
Emerging Science Journal Vol. 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-019

Abstract

A plethora number of literature advocates for economic diversification in Nigeria in order to address its socio-economic challenges. The advent of the COVID-19 pandemic has exemplified this viewpoint even further, as it has had a severe impact on many parts of the Nigerian economy while the federal government scrambles for revenue to fulfill national expenses. However, observation reveals that little attention is paid to the influence of COVID-19 on the oil and gas sector, despite the necessity to diversify economic resources for human capital development. The purpose of this research is to investigate the influence of COVID-19 on the Nigerian oil and gas sector. Problems are recognized and solutions are proposed through the textual analysis of literature. According to the research, COVID-19 has a negative influence on the oil and gas business in Nigeria due to Nigeria's overreliance on oil resources as a key source of national revenue, among other issues. As a result, the study emphasized the need for and importance of diversifying the nation's economic resources by focusing more attention on sectors such as SMEs that are aided with protection and promotion, as well as the agricultural sector, which incorporates technology and scientific input as a driving force for improvement. If adopted, diversification will address numerous difficulties such as poverty, which affects the majority of inhabitants, unemployment, mounting foreign debt, and the massive importation of products and services into the country due to a lack of economic diversification. According to the report, the Nigerian government should invest extensively in small and medium-sized firms (SMEs) and agricultural investment in order to overcome the economic challenges caused by COVID-19's detrimental influence on the economy. Doi: 10.28991/ESJ-2023-SPER-019 Full Text: PDF
Educational Data Mining to Predict Bachelors Students' Success Jacob, David; Henriques, Roberto
Emerging Science Journal Vol. 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SIED2-013

Abstract

Predicting academic success is essential in higher education because it is perceived as a critical driver for scientific and technological advancement and countries' economic and social development. This paper aims to retrieve the most relevant attributes for academic success by applying educational data mining (EDM) techniques to a Portuguese business school bachelor's historical data. We propose two predictive models to classify each student regarding academic success at enrolment and the end of the first academic year. We implemented a SEMMA methodology and tried several machine learning algorithms, including decision trees, KNN, neural networks, and SVM. The best classifier for academic success at the entry-level reached is a random forest with an accuracy of 69%. At the end of the first academic year, an MLP artificial neural network's best performance was achieved with an accuracy of 85%. The main findings show that at enrolment or the end of the first year, the grades and, thus, the student's previous education and engagement with the school environment are decisive in achieving academic success. Doi: 10.28991/ESJ-2023-SIED2-013 Full Text: PDF
Effects of the Development of Central Bank Digital Currencies on Financial Markets amid the Pandemic Kosov, Mikhail; Borisova, Lyudmila; Popkov, Sergey; Kiseleva, Tatyana; Ponkratov, Vadim; Volkova, Maria; Vatutina, Larisa; Kuznetsov, Nikolay; Dzusova, Svetlana; Mazzorana, Florie
Emerging Science Journal Vol. 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-013

Abstract

The study determined the influence of the Central Bank Digital Currency (CBDC) on the financial markets during the COVID-19 pandemic. It investigated if the CBDC had the potential to improve the efficiency and lending power of the financial system. The research relied on secondary data from a range of financial markets, such as the FTSE, MSCI, Gold Index, S&P 500, and Dow Jones, collected during the COVID-19 period. The quantitative approach was employed using the statistical software SPSS to perform descriptive statistics and regression analysis. The results revealed that the financial markets were negatively impacted by COVID-19, but the CBDC saw a higher level of development during the same period. The statistical analysis showed a positive and significant relationship between the CBDC Attention Index, the Uncertainty Index, and various financial market indices, with regression analysis indicating a significant impact of the CBDC Attention Index on all financial market indices except the Gold Index. However, this study has some limitations, including its limited scope of financial markets. Despite this, these results have important implications for academics and policymakers. It is recommended to increase the use of CBDC through well-crafted policies and legislation to fully realize its potential impact on the financial system. Doi: 10.28991/ESJ-2023-SPER-013 Full Text: PDF

Page 100 of 106 | Total Record : 1058

 98   99   100   101   102 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 10 No. 2 (2026): April Vol. 10 No. 1 (2026): February Vol. 9 No. 6 (2025): December Vol. 9 No. 5 (2025): October Vol. 9 No. 4 (2025): August Vol. 9 No. 3 (2025): June Vol 9, No 1 (2025): February Vol. 9 No. 1 (2025): February Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education" Vol 8, No 6 (2024): December Vol. 8 No. 5 (2024): October Vol 8, No 5 (2024): October Vol 8, No 4 (2024): August Vol 8, No 3 (2024): June Vol 8, No 2 (2024): April Vol 8, No 1 (2024): February Vol. 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol. 7 (2023): Special Issue "COVID-19: Emerging Research" Vol 7 (2023): Special Issue "COVID-19: Emerging Research" Vol 7, No 6 (2023): December Vol 7, No 5 (2023): October Vol 7, No 4 (2023): August Vol 7, No 3 (2023): June Vol 7, No 2 (2023): April Vol 7, No 1 (2023): February Vol. 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 7 (2023): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 6 (2022): Special Issue "COVID-19: Emerging Research" Vol. 6 (2022): Special Issue "COVID-19: Emerging Research" Vol 6, No 6 (2022): December Vol 6, No 5 (2022): October Vol 6, No 4 (2022): August Vol 6, No 3 (2022): June Vol 6, No 2 (2022): April Vol 6, No 1 (2022): February Vol 6 (2022): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol. 6 (2022): Special Issue "Current Issues, Trends, and New Ideas in Education" Vol 5 (2021): Special Issue "COVID-19: Emerging Research" Vol. 5 (2021): Special Issue "COVID-19: Emerging Research" Vol 5, No 6 (2021): December Vol 5, No 5 (2021): October Vol 5, No 4 (2021): August Vol 5, No 3 (2021): June Vol 5, No 2 (2021): April Vol 5, No 1 (2021): February Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021) Vol. 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021) Vol 4, No 6 (2020): December Vol 4, No 5 (2020): October Vol 4, No 4 (2020): August Vol 4, No 3 (2020): June Vol 4, No 2 (2020): April Vol 4, No 1 (2020): February Vol 3, No 6 (2019): December Vol 3, No 5 (2019): October Vol 3, No 4 (2019): August Vol 3, No 3 (2019): June Vol 3, No 2 (2019): April Vol 3, No 1 (2019): February Vol 2, No 6 (2018): December Vol 2, No 5 (2018): October Vol 2, No 4 (2018): August Vol 2, No 3 (2018): June Vol 2, No 2 (2018): April Vol 2, No 1 (2018): February Vol 1, No 4 (2017): December Vol 1, No 3 (2017): October Vol 1, No 2 (2017): August Vol 1, No 1 (2017): June More Issue