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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 1,058 Documents
 102   103   104   105   106 
Quality Assessment of the Blended Learning in Higher Education Using the Modified HEdPERF Instrument Binh, Dao Thanh; Bich, Ngoc Tran Thi; Lan, Nguyen Hoang; Thuy, Trinh Thu; Barysheva, Galina; Si, Lam Tran
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-04

Abstract

The objective of this study is to introduce the HEdPERF instrument as a means to objectively assess the impact of various factors on the quality of blended learning, particularly focusing on student satisfaction. In the study, both quantitative and qualitative methods were utilized to analyze the results of the survey conducted online with 662 students and face-to-face interviews with 180 students from different faculties at Hanoi University of Science and Technology, covering students from their first to fifth years. The results show that factors including Academic and Non-Academic aspects, IT Facilities and Infrastructure, Access and Learning Organization, as well as the characteristics of the training major of the students and their academic year, impact the quality of blended learning, which requires a need to balance traditional in-person classroom instruction and online learning. The novelty of this study lies in the selection and modification of dimensions and items from Abdullah's HEdPERF instrument to evaluate factors affecting the quality of higher education services. This approach can be applied to assess various learning models or the quality of educational services offered by higher education institutions while considering the characteristics of different academic disciplines and the students' year of study. Doi: 10.28991/ESJ-2025-SIED1-04 Full Text: PDF
Reevaluating the Impact of University Reputation on Job Employment: A Structural Equation Modeling Approach Shannaq, Boumedyen; AlMaqbali, Said; Leow, Meng-Chew; H. Marhoubi, Asmaa; Ong, Lee-Yeng
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-010

Abstract

This paper examines the impact of university reputation on the employment of new graduates in Oman through industry linkages in higher education. Given that employability worldwide is connected to the reputation of universities, this study seeks to determine whether a similar situation exists in Oman. Specific indirect effects using Structural Equation Modelling (SEM) are evaluated based on research into particular factors affecting graduate employment. The survey was structured and yielded responses from graduate students. Of these, 76.6% were employed, while the remaining 23.4% reported being unemployed or unable to find work. Findings reveal that student performance and competency significantly influence internship opportunities, which in turn enhance job employment (SP  IO  JE:  = 0. 067, p = 0. 001; SC  IO  JE:  = 0.1, p <0.001). However, the university's reputation regarding employment through industry partnerships was found to be negative and insignificant (UR  IP  JE:  = 0. 011, p = 0. 072). This implies that while partnering with industries may alleviate unemployment in Oman, as is well known in Western countries, aligning universities with weak reputations for students’ employment chances may not yield satisfactory outcomes in Oman. Consequently, the study advocates for improving the relationship between universities and industries in Oman. Policymakers and academic institutions must focus on skills training, marketable skills, curriculum relevance, and increased internship opportunities for graduates. Furthermore, enhancing structures for organized employer assurances and assemblies to support long-established university graduates could strengthen universities' reputations in Oman. The study emphasizes the importance of improving the relationship between universities and industries in Oman. Therefore, policymakers and academic institutions must concentrate on skills training, marketable skills, curriculum relevance, and expanded internship opportunities for graduates. Additionally, enhancing frameworks for organized employer assurances and assemblies to support long-established university graduates could reinforce the university's reputation in the job market.
Enhancing Teaching and Supervisory Staff’s Creative Problem-Solving Skills Charoentham, Mai; Kantathanawat, Thiyaporn; Pimdee, Paitoon; Apisuksakul, Kwantisara
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-07

Abstract

This research analyzed creative problem-solving (CPS) components and examined the perceptions of Thai educational personnel regarding their CPS abilities. The sample consisted of 534 primary school teachers and educational supervisors during the 2024 academic year, selected through multistage random sampling. Data were collected using a questionnaire assessing CPS skills, which were then analyzed using means (M), standard deviations (SD), and second-order confirmatory factor analysis (CFA). The research revealed that the second-order CFA model for CPS among educational personnel (teachers and supervisors) consists of five key components. Ranked from highest to lowest, these were educators' perceptions of their CPS abilities to solve problems (SOL) (M = 4.23, SD = 0.54), ability to identify problems (IDE) (M = 4.17, SD = 0.57), ability to create knowledge (CRE) (M = 4.17, SD = 0.59), ability to discover concepts (INS) (M = 4.12, SD = 0.58), and ability to discover methods to solve problems (MET) (M = 4.11, SD = 0.58). The model strongly aligned with empirical data, indicating that all three models exhibited positive component weights (β) that were statistically significant at the .01 level. This finding underscores the strength of the CPS framework for educational personnel. These findings provide compelling evidence for the effectiveness of the proposed model in assessing and enhancing CPS skills among educational professionals, contributing valuable insights to both practice and future research in this field. This study fills a gap in the literature by providing empirical evidence on the CPS capabilities of educational personnel.
Enhancing Reading Skills Among the Primary Students for the Mokhlan History Content Boripis, Thussaneeya; Hao, Wang; Pathak, Shubham
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-09

Abstract

Students in Thailand are susceptible to being swayed away from reading. This has been a major challenge for teachers in primary schools, as reading skills are necessary for the development of students. With an innovative approach inclusive of Sustainable Development Goals (SDGs), Creative Base Learning (CBL), and Problem-Based Learning (PBL) along with the theoretical underpinning of Constructivist Theory, this research explores enhancing reading skills among primary school students in Thailand. This research adopts a mixed-method approach with data collection from survey questionnaires, key informant interviews, and focus group discussions. The data analysis involves a t-test and the six hats tool for the qualitative support of the quantitative findings. The findings suggest a lack of interactive creative media tools to inculcate student reading skills. The data depicts a need to repeat the reading test at the primary level and include all the stakeholders, including teachers, students, and parents. The novel contributions of this research include the model emphasizing the role of learning and training among various stakeholders to enhance the reading skills of Mokhlan history. This study paves the way for future research on analyzing the factors responsible for students' lack of 21st-century skills, especially at the primary school level.
Investigating High School Student Misconceptions: A Rasch-Based Three-Level Diagnostic Evaluation of Osmoregulation and Excretion Systems Ridwan; Sura, Sunarto A.; Koerniadi, Diki; Zaradiva, Lia; Soeharto, Soeharto; Najira; Bariroh, Ghurrotul; Muhammad, Fadil
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-05

Abstract

This study aimed to develop and validate a three-tier multiple-choice diagnostic assessment instrument to identify misconceptions related to osmoregulation and the excretion system among Indonesian high school students. A total of 281 students from West Sumatra and Jambi Province participated in the research. Employing a quantitative approach, the psychometric properties of a 20-item test were analyzed using Rasch modeling. The analysis revealed that the instrument had strong item reliability (0.84), though person reliability was relatively low (0.55), indicating variability in students’ response consistency. Despite this, the test demonstrated high internal consistency, as shown by a Cronbach's Alpha of 0.90. The mean student ability level (-2.37) was significantly lower than the item difficulty level (0.00), suggesting widespread conceptual gaps among participants. All items met the model’s expectations, with average Outfit Mean Square (MNSQ) at 1.02 and Z-Standard at 0.1. The findings highlight the diagnostic tool’s effectiveness in detecting prevalent misconceptions in biology education. This study contributes to the field by offering a structured and psychometrically sound instrument, supporting more targeted instructional strategies to enhance conceptual understanding in science education.
A Socio-Legal Analysis of University Students’ Perspectives on Challenges in Online Education and Protocols: Post-Covid Reflections Abbas, Sheer; Yaseen, Muhammad
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-08

Abstract

The COVID-19 pandemic had a profound impact on nearly all sectors, including global education systems, necessitating a rapid shift from traditional classroom teaching to online learning, despite many institutions lacking the necessary infrastructure for such a transition. The integration of interactive multimedia and flexible scheduling in e-learning has enhanced student engagement and accessibility significantly compared to traditional education methods. It is crucial to assess the post-COVID impacts on students’ learning and performance following the abrupt shift from in-person to online education. The online questionnaire used here, created using Google Forms, targeted students across Pakistan, covering their opinions, challenges, and recommendations on traditional and online learning, particularly their post-COVID perspectives. Surveys were distributed to various universities, including institutions in Punjab, Sindh, Islamabad, Khyber Pakhtunkhwa, and Balochistan. A snowball sampling method was employed to gather responses, leveraging participants’ networks to expand the sample size, and the collected data were analyzed using the Statistical Package for the Social Sciences for descriptive statistics. The demographic attributes of the involved 150 respondents showed that 59.3% had a rural background, 80% were aged 18–23, and 75% were male, with 51% living within 1–25 km from their universities. Results revealed that students showed a slight preference for online education, with a higher level of comfort expressed in using digital tools and better access to resources, though factors of engagement and peer interaction still need improvement. Universities ought to address matters involving data privacy, academic integrity, accessibility, intellectual property, and contractual duties to ensure legal obedience and equity in online education. Faculty, students, and governing bodies should work jointly to design efficient legal strategies.
Prevalence of Attention Deficit Hyperactivity Disorder Among Students with Learning Disabilities Al-Shekaili, Huda; AlMalki, Fatema; Shebani, Zubaida; Al-Bahrani, Muna; Al-Zoubi, Suhail
Emerging Science Journal Vol. 9 (2025): Special Issue "Emerging Trends, Challenges, and Innovative Practices in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-SIED1-013

Abstract

Attention deficit hyperactivity disorder (ADHD) is a common developmental disorder worldwide, occurring among children and adolescents across cultures and societies. ADHD manifests itself in difficulties with concentration, distraction, hyperactivity, and impulsive behavior. ADHD poses a challenge in school settings, affecting students' ability to follow lessons, adhere to instructions, and complete academic tasks. Omani schools are witnessing cases of ADHD, which calls for educational and health attention to develop effective strategies to reduce the prevalence of ADHD among school students. Therefore, this study aimed to identify the prevalence of Attention Deficit Hyperactivity Disorder (ADHD) among Omani students with learning disabilities (LDs). A descriptive survey design was employed, with a sample of 861 students with LDs from different governorates in Oman. To assess ADHD symptoms, a standardized scale was developed based on the criteria outlined in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The final version of the scale comprised 25 items distributed across two core domains: Inattention and Hyperactivity/Impulsivity. Findings revealed that 28% of students with LDs met the criteria for ADHD, with Inattention being the predominant subtype (58%). ADHD was more prevalent among male students (73%) and was most commonly observed in students in grades 1-4 (75%). Additionally, 63% of ADHD cases were identified in students with Arabic language difficulties, particularly in reading and writing. The study highlights the need for systematic ADHD screening among students with LDs and recommends the adoption of the developed scale for early identification and intervention.
Time Redistribution Based on Temporal Risk Matrices for Operational Optimization in Public Security Institutions Pacheco, Luis Palacios; La Fuente, Henry Tapia; Gordón, Antonio Castillo; Quijada Acuña, Eduardo; Villegas-Ch, William
Emerging Science Journal Vol. 10 No. 2 (2026): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2026-010-02-030

Abstract

The current “9-3” operational scheduling model used by the Ecuadorian National Police imposes rigid 8-hour rotational shifts over nine consecutive days, followed by three days off, without accounting for the spatiotemporal distribution of criminal activity. This leads to structural inefficiencies, including officer overload exceeding public-sector standards by 57%, unbalanced shift coverage, and an increase in fatigue-related incidents. This study aims to optimize staff allocation by proposing a data-driven redistribution model based on a normalized hour-day matrix. The method integrates multi-source institutional data, including ECU-911 dispatch logs, crime reports, and homicide records, and applies weighted normalization to construct proportional risk matrices per time slot. These matrices guide the redistribution of personnel while adhering to institutional criteria, including target monthly workload, equitable shift rotation, and guaranteed minimum coverage. The model was implemented in four pilot sectors characterized by varying urban, residential, and peripheral conditions. Results demonstrated improved adequacy in night-shift coverage of up to 30%, a 41% reduction in temporal imbalance, and decreased workload variability, with coefficients of variation below 6%. The proposed approach offers a replicable, low-cost planning solution that combines empirical risk modeling, operational transparency, and institutional scalability, representing a significant methodological improvement over the traditional static scheduling model.

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