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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 803 Documents
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Cognitive Insights from Emotional Intelligence: A Systematic Review of EI Models in Educational Achievement Gkintoni, Evgenia; Dimakos, Ioannis; Nikolaou, Georgios
Emerging Science Journal Vol 8 (2024): 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-2024-SIED1-016

Abstract

Objectives: This study aims to investigate the relationship between Emotional Intelligence (EI) and academic achievement within educational settings. It seeks to determine how different EI models—specifically, Ability EI and Trait EI—impact students' academic performance, behavior, engagement, and motivation. The goal is to provide insights that can guide the integration of EI into educational practices to foster a more supportive and effective learning environment. Methods/Analysis: The study is based on a systematic review of sixty-four (64) peer-reviewed studies published between 2016 and 2023. These studies include randomized controlled trials (RCTs), longitudinal studies, and meta-analyses. The selected studies were analyzed to explore the effects of EI on various academic outcomes, including performance, behavioral engagement, and motivation. Findings: The analysis reveals that both Ability EI and Trait EI are positively associated with academic success. These models of EI appear to contribute significantly to the development of key skills such as emotional control, empathy, and problem-solving, which in turn support effective classroom management and academic achievement. The findings suggest that incorporating EI into educational curricula can lead to improved communication, better problem-solving abilities, and enhanced relationships between students and faculty. These improvements can create a more conducive learning environment and enhance overall academic outcomes. Novelty/Improvement: This study adds to the existing literature by offering a comprehensive review of recent studies that examine the role of EI in academic settings. It highlights the importance of implementing EI-focused interventions and curricula in schools, emphasizing the practical implications for educators and policymakers. Doi: 10.28991/ESJ-2024-SIED1-016 Full Text: PDF
The Nexus of Covid-19 and Behavioral Intentions of University Students Towards Online Education Abbas, Sheer; Yaseen, Muhammad; Ameen, Muhammad; Pervaiz, Bushra; Fatima, Sidra; Hassan, Sadia
Emerging Science Journal Vol 8 (2024): 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-2024-SIED1-02

Abstract

The onset of the COVID-19 pandemic has significantly disrupted the traditional pedagogical educational system worldwide. The story of Pakistan is also not different from that of the rest of the world. Pakistan’s higher education institutes were closed for classes due to the outbreak. Some universities started the virtual education system, and it is critically important to assess the behavioral intentions of university students toward online education during the COVID-19 pandemic in Pakistan. This is the first study investigating students' responses to online education during the COVID-19 pandemic. For this purpose, an online survey was conducted to obtain the students' responses from the higher institutions providing online classes during COVID-19. The results were evaluated using multivariate analysis and descriptive statistics. It was observed that there is a significant difference between male and female students concerning the positive consequences of COVID-19 on students. According to the findings, the students' intentions for online education are more concerned with saving time to complete the degree program. Higher education institutions should also provide online educational opportunities to students besides traditional physical modes. Online educational interventions will be helpful for students during unavoidable circumstances like political instabilities, natural disasters, viral disease outbreaks, etc. to complete degrees and diplomas. Doi: 10.28991/ESJ-2024-SIED1-02 Full Text: PDF
Open Government Data Intention-Adoption Behavioural Model for Public Sector Organisations: A Technological Innovation Perspective Khurshid, Muhammad M.; Rashid, Ammar; Yusof, Shafiz; Ahmad, Raja W.; Shehzad, Hafiz Muhammad Faisal
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-04

Abstract

The objective of this research is to examine an open government data (OGD) intention-adoption behavioural model for the public sector organisations (PSOs), since examining the model is expected to lead to a better understanding of how to realise this technological innovation among PSOs on a large scale to excavate its innovative value. In this respect, we proposed a theoretical model to explore the factors that affect OGD adoption behaviour based on three dimensions of the TOE (technology, organisation, and environment) framework. The model was then analysed after collecting the survey data from 249 PSOs in Pakistan using a purposive sampling technique. The findings unfolded that the factors, except centralisation and civil society participation, framed in technology dimension (data resource, dataset quality, perceived benefits), organisation dimension (data-driven culture, digitisation capacity, need for transparency), and environment dimension (compliance pressure, political leadership commitment) affect the PSOs’ OGD adoption intention. Cumulatively, the intention to adopt OGD was found to have a significant positive impact on OGD adoption behaviour. Based on the TOE framework, the model, with the addition of adoption intention as a significant positive factor in adoption behaviour, bears a crucial theoretical and practical contribution in the context of OGD. Doi: 10.28991/ESJ-2024-08-05-04 Full Text: PDF
Zero-Shot Prompting Strategies for Table Question Answering with a Low-Resource Language Jannuzzi, Marcelo; Perezhohin, Yuriy; Peres, Fernando; Castelli, Mauro; Popovič, Aleš
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-020

Abstract

This work explores the application of zero-shot prompting strategies for table question answering (TQA) in Portuguese, focusing specifically on the Text2SQL task. This task involves translating questions posed in natural language into Structured Query Language (SQL) queries, which can be executed against a database to answer the original question. Given the popularity of relational databases across various domains, advancements in this field can substantially impact the accessibility and democratization of data as simpler and more intuitive interfaces for database interaction are developed. Despite this significant potential, progress in developing Portuguese TQA solutions remains limited. The proposed approach leverages Large Language Models (LLMs)—specifically the GPT-3.5 and GPT-4 models—through zero-shot prompting. The primary objectives are to assess the effectiveness of such LLMs in this task and to identify the most suitable prompt styles. These are evaluated using a Portuguese translation of the popular Spider Text2SQL benchmark. Results reveal that the proposed approach can generate adequate SQL queries to answer Portuguese language questions about various databases, mainly when using GPT-4. The findings suggest that including schema information and database content in the prompts is critical for satisfactory outcomes. Doi: 10.28991/ESJ-2024-08-05-020 Full Text: PDF
Transformational Leadership and Project Success: The Role of Leader-Member Exchange and Professional Commitment Thuy, Doan Thi Thanh
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-022

Abstract

The purpose of this study is to explore the effects of transformational leadership (TL) on project success (PS), focusing on the indirect impacts of leader-member exchange (LMX) and the moderating influence of professional commitment (PC). This study aims to address the inconsistent findings in existing literature regarding the transformational leadership-project success relationship and to uncover the mechanisms that affect project outcomes. The unit of analysis is finished projects. The 509 project managers on projects completed within the past five years responded to the poll to collect data. The data were then assessed using Smart-PLS software. The results confirmed the study’s hypotheses, demonstrating that LMX mediates the relationship between transformational leadership and project success. Additionally, professional commitment was found to moderate both the relationship between transformational leadership and LMX and the connection between LMX and project success. Furthermore, transformational leadership was shown to have a direct positive effect on project success. These findings contribute to the theoretical foundations of leadership and project management by emphasizing the critical role of relationship quality within teams, with LMX serving as an intervention mechanism and professional commitment acting as a moderating role influencing project success. The insights from this study offer practical value for developing project management strategies tailored to specific organizational contexts, enhancing efficiency in project-based organizations. Future research should consider longitudinal studies to explore how the relationships between these antecedents and project outcomes evolve over time. Doi: 10.28991/ESJ-2024-08-06-022 Full Text: PDF
Mediating Role of Aesthetic Experience between Environmentally Aesthetic and Sustainable Development in Primary School Education System Li, Yang; Mustapha, Azwady; Ayob, Salwa
Emerging Science Journal Vol 8 (2024): 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-2024-SIED1-013

Abstract

Researchers in Guangxi Province, China, are doing research on primary school teachers to investigate the relationship between environmental aesthetics, aesthetic experiences, and sustainable development. To conducting an analysis of the data collected from 435 elementary school teachers who participated in a structured survey, Structural Equation Modeling (SEM) with SMART PLS software was utilized. According to the conclusions of the study, there is a large and beneficial association between environmental aesthetics, aesthetic experiences, and sustainable development. Based on the findings, it is possible that enhancing environmental aesthetics could result in an increase in the number of aesthetic experiences, which could be beneficial to educational sustainable development. The research is restricted to a narrow geographic area and relies on self-reported data, both of which may restrict its capacity to be generalized. The research demonstrates that environmental aesthetics influence the educational experiences of primary teachers, notwithstanding the constraints that have been mentioned. The knowledge of this fact may have an impact on educational practices and policies pertaining to sustainability. Doi: 10.28991/ESJ-2024-SIED1-013 Full Text: PDF
Demystifying Knowledge Work Practices and Performance in the Public Sector Pachayappan, Neetha Kumari; Aravindan, Kalisri Logeswaran; Alias, Mazni; Ramayah, T.; Annamalah, Sanmugam; Choong, Yap Voon
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-015

Abstract

The performance of the public sector, especially its officers, is vital to a nation’s growth in light of the challenges clouding public service. Despite numerous efforts and initiatives, the level of efficiency of Malaysian public sector officers remains feeble, and public dissatisfaction has led to criticism of the administration. Therefore, addressing issues surrounding the performance of public sector officers is imperative to improve public perception. Guided by Drucker’s knowledge work productivity theory, this research aims to discover the relationship between knowledge work practices toward affective commitment (AC) and knowledge worker performance (KWP). This research adopted a cross-sectional design involving a survey of 395 administrative and diplomatic officers who were recruited via stratified random sampling. A variance-based structural equation modeling using Smart PLS 4.0 was conducted to analyze the data. Results show that job crafting (JC) and continuous learning (CL) improve KWP, job-related innovation (JRI) does not impact KWP, and AC exerts a mediating impact on the relationship between knowledge work practices and KWP. This study provides impetus to knowledge productivity and human behavior by integrating JC into Drucker’s theory. Doi: 10.28991/ESJ-2024-08-05-015 Full Text: PDF
Financial Development Strategies of Countries: Identifying Priority Financial Instruments Gospodarchuk, Galina; Zeleneva, Elena
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-06

Abstract

The effectiveness of financial development strategies for countries depends on the methodology used for their formation and implementation. However, a review of the literature reveals that the methodology for implementing these strategies is not fully developed. Therefore, this study aimed to create a methodology for implementing financial development strategies by identifying priority financial instruments. The study utilized rule-based judgment, iterative methods, and the "GAP" method. As a result, the "5S+" concept was developed—an expanded version of the "5S" concept. The novelty of the "5S+" concept lies in its inclusion of financial instruments, as well as the rules and methods for determining priority financial instruments. This is the first time such a modification of the "5S" concept is proposed. The "5S+" concept was tested using data from the UK for 2007-2022. The test results allowed us to determine the UK's strategic financial development goals for 2023-2025 and identify priority financial instruments necessary to achieve these goals across the board. The expanded "5S" concept is highly representative, objective, and broadly applicable. It enhances the existing methodology for strategic financial development management and introduces new opportunities for improving the quality of strategic policy documents. Doi: 10.28991/ESJ-2024-08-06-06 Full Text: PDF
Cost-Effective Manufacturing of Microfluidics Through the Utilization of Direct Ink Writing Prajitna, Stefanus H.; Harito, Christian; Yuliarto, Brian
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-01

Abstract

Microfluidics is essential for precise manipulation of fluids in small channels. However, conventional manufacturing processes for microfluidic devices are expensive, time-consuming, and require specialized equipment in a clean room. While recent studies have improved the cost-effectiveness of this device, there is still a need for further advancement in cost efficiency. Therefore, this study aimed to develop a custom-built direct-ink writing (DIW) printer for manufacturing microfluidic devices that is more affordable. Custom-built DIW directly printed microfluidic channels onto microscope slide glass using RTV (Room Temperature Vulcanizing) silicone sealant. To finish the microfluidics manufacturing, the printed channel will be assembled by placing the same glass on top of the printed layer. This method eliminated the need for polydimethylsiloxane (PDMS) molds and casting processes that were still found in recent studies. This innovative $250 (USD) custom-built DIW method takes 15 seconds to print microfluidics channels and showed a significant cost reduction, with each microfluidics device costing only $0.071 (USD) compared to $0.90 (USD) in previous studies. This study makes microfluidics more affordable and accessible for biomedical use. Doi: 10.28991/ESJ-2025-09-01-01 Full Text: PDF
Stochastic Diffusive Modeling of CO₂ Emissions with Population and Energy Dynamics Arif, Muhammad Shoaib; Abodayeh, Kamaleldin; Al-Khawar, Hisham M.; Nawaz, Yasir
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-012

Abstract

Climate change, primarily driven by CO2 emissions from energy and non-energy sectors, necessitates effective mitigation strategies. This study develops a stochastic diffusive model to capture the complex dynamics of CO2 concentration, human population growth, and energy production. The objectives are to enhance the predictive accuracy of existing models by incorporating diffusion effects and stochastic variability, offering insights for sustainable environmental policies. A novel numerical scheme, an extension of the Euler-Maruyama algorithm, is proposed to solve stochastic time-dependent partial differential equations governing the model. The scheme's consistency and stability are rigorously analyzed in the mean square sense. Findings reveal that increasing emission rate coefficients in energy and non-energy sectors exacerbates CO2 levels, emphasizing the need for stringent controls. The proposed scheme demonstrates superior accuracy to the non-standard finite difference method, establishing its efficacy in modeling complex environmental processes. This research contributes a robust computational tool to improve existing predictive models, aiding decision-making for long-term ecological sustainability. By addressing uncertainties in the environmental process, the work advances the understanding of interactions between population growth, energy production, and CO2 emissions, offering a significant improvement over the traditional modeling approach. The novelty lies in integrating stochastic dynamics with diffusion to better inform CO2reduction strategies. Doi: 10.28991/ESJ-2025-09-01-012 Full Text: PDF

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