bluuebunny/crossref_metadata_2025 huggingface dataset:
State of charge control based improved hybrid energy storage system for DC microgrid
Authors: Gajjar Rital R. , Giri Nimay Chandra , Patel Unnati , Gajjar Rakeshkumar C. , Dave Dhavalkumar , Aly Abouelmaaty M.
Published: September 2024

This paper proposes a non-communication power management plan for a renewable solar-photovoltaic (PV) hybrid direct current (DC) microgrid consisting of batteries and supercapacitors (SCs). An effective control strategy for bidirectional converters has been proposed for power supply and load generation at different operating modes and state of charge (SOC) limits of the hybrid energy storage system (HESS). The battery and SC combination provides power to the load during normal or peak operating hours. The proposed hybrid power management system was tested under uneven load and generation using MATLAB. The proposed control enhanced the operation of microgrids by utilizing HESS with a novel control strategy based on the SOC. Seamless mode switches among different operating modes are also presented in this paper. This approach ensures stable current control, minimizes charging-discharging mode changes, mitigates the risk of overcharging and over-discharging batteries, extends battery service life, and balances the SOC across different energy storage units. Consequently, this strategy enhances the operational stability and economic efficiency of the DC microgrid. The proposed methodology provided better power allocation and improved the life of the battery.
Representative power distribution network: a review of available models
Authors: Masdzarif Nur Diana Izzani , Ibrahim Khairul Anwar , Gan Chin Kim , Au Mau Teng
Published: September 2024

In recent decades, there has been an increasing penetration of new smart grids (SG) and distributed generations (DG) that are connected to the distribution network (DN). Thus, it is critical for utilities to analyze and assess their impact on the power system networks, which often necessitates major decisions about network operation and planning. Consequently, researchers are constantly developing new and improved methods of advanced control and operation to address these challenges. Unfortunately, there are a limited number of realistic DN models that are made publicly available by the utilities for the development, testing, and evaluation of such new methods. This is mainly caused by the utilities' concerns and reluctance to reveal the public's real and “sensitive” network information. Although international standard test systems such as IEEE and CIGRE are publicly available, these test network models are customized based on the US DN and are not representative of the other networks that operate under different network settings. This paper presents a brief literature survey of existing and prominent representative DNs with a special emphasis on identifying the general description, and application, as a comparison for future development of test network in Malaysia.
A novel high-gain DC-DC converter for photovoltaic applications
Authors: Thandavarayan Porselvi , Mouttou Arounassalame
Published: September 2024

This manuscript proposes a novel transformer-less, single-switch direct current (DC)-DC converter for renewable energy systems (RESs). The main aim is to solve the problems of low output voltage generated by photovoltaic (PV) arrays and discontinuous input supply current caused by switching mode power supplies. The new converter is a combination of a single-ended primary inductor, a diode/capacitor circuit, and a conventional quadratic boost converter. The main advantages are the higher rate of voltage conversion (more than 10 times for duty cycle above 50%), the diminished voltage across the active switch with diodes, and diminished gate driver necessity because of the use of a single switch with a continual input current for raising the PV panel life. Furthermore, the new converter produces low switching voltage, which improves system efficiency. The proposed converter operating principle and analysis based on steady-state performance are discussed. The proposed converter’s performance is assessed using simulation in MATLAB/Simulink, and the results were presented. A 100 W prototype model of the designed DC-DC converter is also developed, and finally, the hardware results were compared with the simulated results.
An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME
Authors: Dutta Monoronjon , Mehedi Hasan Khondokar Md. , Akter Alifa , Rahman Md. Hasibur , Assaduzzaman Md.
Published: September 2024

Globally, breast cancer is among the most prevalent and deadly tumors that affect women. Early and accurate identification of breast cancer is essential for effective treatment planning and improving patient outcomes. This research focuses on improving breast cancer classification accuracy through machine learning (ML) methodologies, emphasizing interpretability. The study utilized the chi-square method to enhance model testing performance by pinpointing the most significant features for further analysis. The study also improved data quality by identifying and removing outliers, thus minimizing the influence of data irregularities on the performance of the models. For classification, the study evaluated six different ML algorithms—namely extreme gradient boosting (XGBoost), decision tree (DT), AdaBoost (AB), support vector machine (SVM), gradient boosting (GB), and K-nearest neighbors (KNN)—each applied to distinguish between the two variants of breast cancer. Among these, the XGBoost classifier emerged as the most accurate, achieving an impressive 99.30% accuracy rate. Moreover, the research incorporated shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME) methods to boost the interpretability of the proposed model, offering crucial insights into the model’s decision-making process. Applying these interpretability techniques provided significant insights into the predictive factors influencing healthcare outcomes, ensuring the classification approach’s transparency and reliability.
6G networks: insights and reliability analysis
Authors: Basahel Ahmed Abdullah , Islam Md. Rafiqul , Habaebi Mohamed Hadi
Published: September 2024

As we are living in a fast-moving dynamic world. Emerging technologies such as artificial intelligence (AI), internet of things (IoT), virtual reality (VR), augmented reality (AR), fourth industrial revolution (Industry 4.0), metaverse, and edge computing are expected to play an essential role in our daily life. These technologies require high-speed, sustainable, and reliable communications networks which are expected by sixth generation (6G) wireless communications networks. 6G will be the backbone for these emerging technologies as well as for the technology-driven digital infrastructure. Governments as well as research and development (RD) of the technology companies are gearing up to conduct a regulatory framework to standardize 6G networks; studying and conducting experimental setups to examine and evaluate the deployment of 6G networks; both in which they will have opportunities and challenges. This paper provides insights and guidelines for 6G networks in terms of standards, implementations, applications, and research trends. In addition, it provides reliability analysis for terrestrial 6G networks. A carrier class availability could be achieved over a maximum of 4 km link distance. These insights and availability figures may be used as a useful tool for researchers and industry stakeholders for the deployment and rollout of the next generation 6G wireless communications networks.
Quasi resonant topology based highly efficient solar-powered induction cooker
Authors: Ahmad Shameem , Awalin Lilik Jamilatul , Nahid Hasan Sheikh Md. , Saha Arghya , Ali Mohd Syukri , Syafiq Amirul , Wang Li
Published: September 2024

The energy crisis is a major issue in developing countries, with fossil fuels being the main source of cooking. Induction cookers have received attention due to their safe operation and eco-friendliness, but traditional AC induction cookers are costly and inefficient due to an inverter and rectifier. In this regard, this paper aims to model and develop a solar-powered, low-cost, and highly efficient induction cooker that can be operated directly by solar panels through a battery. By utilizing the solar panels’ maximum output, a maximum power point tracking (MPPT)-based solar power controller has been utilized to charge the battery. A modified coil structure for the cooker is proposed to decrease the coil’s excitation time and increase the resonant frequency. A quasi-resonant converter topology has been used in the proposed induction cooker, as it operates at high frequencies above 20 kHz to avert audible noise and below 100 kHz to minimize losses in switching. The performance of the suggested induction cooktop has been validated by modifying the circuit and the coil of a traditional 220 V, 2 kW induction cooker. Based on the outcomes, it is observed that the efficiency of the proposed induction cooker reached 93%, which is better than that of existing induction cookers.
Machine learning-based detection of fake news in Afan Oromo language
Authors: Salau Ayodeji Olalekan , Arega Kedir Lemma , Tin Ting Tin , Quansah Andrew , Sefa-Boateng Kwame , Chowdhury Ismatul Jannat , Braide Sepiribo Lucky
Published: September 2024

This paper presents a machine learning-based (ML) approach for identifying fake news on web-based social media networks. Data was acquired from Facebook to develop the model which was used to identify Afan Oromo's false news. The system architecture uses algorithms, such as support vector machines (SVM), k-nearest neighbor (KNN), and convolutional neural networks (CNNs) to detect and classify fake news. Existing models have limitations in understanding reported news accuracy compared with verified news. This study successfully resolved the challenges in the detection of social media fake news detection for the Afan Oromo language with the use of ML models and natural language processing (NLP) techniques. The results show that the SVM approach achieved a precision, recall, and F1-score, of 0.92, 0.92, and 0.90.
Exploring bank account information of nominees and scammers in Thailand
Authors: Sirawongphatsara Patsita , Pornpongtechavanich Phisit , Sriamorntrakul Pakkasit , Daengsi Therdpong
Published: September 2024

In today's digital era, people heavily depend on the internet for various tasks, such as online banking and e-commerce. While online transactions offer convenience, they also expose vulnerable individuals to potential exploitation by online scammers. The analysis and inquiry presented herein rely on data sourced from ChaladOhn, a system developed by academics and law enforcement, covering the period from February 2022 to January 2023. The comprehensive investigation reveals that each case resulted in losses under 10 million Thai Baht, accumulating to a staggering 3,100 million in damages. Notably, the fraudulent activities were traced back to the top two banks in the Thai market, referred to as the first and second bank. These banks were found responsible for; i) 28.2% and 16.0% of all scam accounts, ii) 25.6% and 20.5% of all transactions, and iii) 35.7% and 14.9% of all victim losses, respectively. The results of the inquiry must be shared with appropriate organizations and regulators due to the predicted worsening of this situation. This proactive approach aims to facilitate the development, recommendation, and implementation of effective strategies to address the escalating threat of online scams.
Computationally efficient ResNet based Telugu handwritten text detection
Authors: Revathi Buddaraju , Prasad M. V. D. , Gattim Naveen Kishore
Published: September 2024

Optical character recognition (OCR) is a technological process that converts diverse document formats into editable and searchable data. Recognition of Telugu characters through OCR poses a challenge because of compound characters. Identifying handwritten Telugu text proves difficult due to the substantial number of characters, their similarities, and overlapping forms. To handle overlapping characters, we implemented a segmentation algorithm that efficiently separates these characters, consequently enhancing the model’s accuracy. Feature extraction is a crucial phase in recognizing a broader range of characters, especially those that are similar in appearance. So, we have employed a light weighted ResNet 34 model that effectively addresses these challenges and handles deep networks without declining accuracy as the network’s depth increases. We have achieved a word level recognition rate of 81.5%. In addition, the parameters required by the model are less when compared to its counterpart inception V1, making it computationally efficient.
Advanced spatial adaptive channel estimation for efficient mmWave communication
Authors: Vadgave Rajkumar M. , S. Manjula
Published: September 2024

This study explores the intricacies posed by the unique features of 5G/6G wireless sensor networks (WSNs) to guarantee dependable and long-lasting connectivity. The increasing energy consumption in 5G/6G networks due to higher data rates and more complex architectures emphasizes the necessity for energy-efficient techniques. The WSN resources are limited, specially designed resource allocation and management techniques are essential. In this paper, a unique analogue combining design called advanced spatial adaptive channel estimation (ASACE) and an optimization model for channel state information (CSI) estimation that takes use of the low-rank characteristics of channel matrix sparsity are presented. Gradient descent (GD) optimization is incorporated to improve the suggested approach, demonstrating improvements in residual errors and computing complexity. The optimization problem aims to find the gains and orientations of wideband channel paths. Moreover, a comparative analysis is conducted between the suggested model and many cutting-edge methods, emphasizing error minimization. This thorough analysis offers a nuanced viewpoint on the effectiveness and efficiency of the suggested ASACE approach in the context of wideband cross-entropy (CE) and optimization, which makes a significant contribution to the area.
An optimation of advanced encryption standard key expansion using genetic algorithm and least significant bit integration
Authors: Marjuni Aris , Rijati Nova , Susanto Ajib , Sinaga Daurat , Purwanto Purwanto , Hasibuan Zainal Arifin , Yaacob Noorayisahbe Mohd.
Published: September 2024

Ensuring data security in today’s digital landscape is of paramount importance, driving the exploration of advanced techniques for safeguarding confidential information. This study introduces a robust approach that combines advanced encryption standard (AES) encryption with key expansion, genetic algorithms (GA), and least significant bit (LSB) embedding to achieve secure data concealment within digital images. Motivated by the pressing need for enhanced data protection, our work addresses the critical challenge of securing sensitive information from unauthorized access. Specifically, we present a systematic methodology that integrates AES encryption for robust data security, GA for optimization, and LSB embedding for subtle information concealment. Through comprehensive experimentation, involving images such as ‘Lena.jpg,’ ‘Peppers.jpg,’ and ‘Baboon.jpg,’ we demonstrate the efficacy of our approach. The imperceptible modification rates mean squared error (MSE) of 0.199, 0.101, and 0.105, coupled with high peak signal-to-noise ratios (PSNR) of 10.04 dB, 9.95 dB, and 9.79 dB respectively, underscore the fidelity and subtlety of the embedded information. This study contributes to the ongoing discourse on data security by offering a comprehensive and innovative approach that addresses the evolving challenges in safeguarding digital information.
Character learning model based on traditional songs in Indonesia
Authors: Adi Kistoro Hanif Cahyo , Benny Benny , Warnis Warnis , Ulfah Syofia , Zuhrah Fatimah
Published: September 2024

Character education is mandatory material in Indonesia. One of the character learning strategies is to use folk songs. This study describes the strategies used by teachers in implementing character learning and explores information about obstacles and supports in its application. There were 12 study participants consisting of religion teachers from six schools in the Yogyakarta and Sumatra Regions. Selection of participants using purposive sampling. Data collection through in-depth interviews using an interview guide. The analysis technique is carried out through the process of reducing, presenting and interpreting data to draw conclusions. The results of this study are very important for education, where the teacher’s strategy, the use of traditional songs can become a new model of character education. Obstacles faced in the form of diverse student abilities can increase innovation, creativity and teacher competence in designing learning. The results of this study can become a basic reference in a new character education strategy. This research has several limitations both from the location, research subjects and the type of research. Subsequent research with a more complete design will add to the strengthening of the results of this study.
Analysis of academic desertion among ungraduated mathematics students
Authors: Rodríguez Márquez Miguel Armando , Salgado Horta Dagoberto , Pedrosa-Jesús Cristina
Published: September 2024

University dropout is a phenomenon that has played an important role in the undergraduate program in mathematics at the University of Tolima (Colombia), because it has been a program that has high dropout rates semester by semester. To generate the results presented here, the population who was considered was students enrolled in the 2012A-2018B academic period. In this time frame, the information on the factors required to characterize student dynamics is consolidated and evaluated using the Kaplan-Meier statistical model, evaluation of associations, correlations and comparisons using non-parametric statistics. The aim is to determine the individual, academic, institutional, social and economic factors that cause students to drop out. As a result of the analysis in context, the factors that influence the problems of the phenomenon of dropout in this cohort were determined and characterized. This methodology presents causal factors for student retention on which actions should be taken to propose strategies associated with obtaining better percentages of retention and graduation within the Bachelor’s Degree program in Mathematics.
Nominal group techniques to assess teachers’ readiness for online teaching at higher education institution
Authors: Mohd Nasir Farah Damia , Nusantara Toto , Ghazali Norliza , Mustakim Siti Salina , Anggraini Ade Eka
Published: September 2024

Education 4.0 marks a new era of learning with virtual online classrooms, requiring teachers to adapt. Despite this shift, standardized tools to evaluate teachers’ online instruction readiness are lacking. This article explores nominal group technique (NGT) in the design and development research (DDR) need analysis stage to identify challenges in online teaching and the need for a new assessment tool in higher education. There were 15 professionals from Malaysia and Indonesia contributed insights to identify key educator challenges. Results show validation of study topics with over 70% agreement, highlighting the urgent need for a reliable tool to assess educators’ online instruction competence in higher education. These findings inform further instrument development.
Empowering teachers: implementing the Tut Wuri Handayani supervision model to enhance teacher competence
Authors: Simanjuntak Rivai M. , Milfayetty Sri , Darwin Darwin
Published: September 2024

An inspiring supervision model based on the Tut Wuri Handayani concept, with a research and development (R&D) approach that refers to the Borg and Gall model, has been successfully developed. Through a comprehensive investigation, this study aims to bolster the competence and effectiveness of teachers. Model feasibility evaluation was carried out by two model design experts, with an average ideal percentage value of 86.2% (outstanding assessment and feasibility categories). Model feasibility evaluation was carried out by two model design experts and two content design experts. The average ideal percentage value given by model design experts was 86.2% (outstanding assessment and feasibility categories), while that given by content design experts was 76.64% (outstanding service and feasibility categories). Based on the test for model users three times, t-test data was obtained for a small group between commitment and competence, fighting power and competence, and religion and competence, showing tcount>ttable, respectively. The t-test results for the medium and large groups also show tcount>ttable. The dataset analysis shows that the inspiring supervision model based on Tut Wuri Handayani is practical and feasible. This research sheds light on the positive impact of implementing the Tut Wuri Handayani supervision model for enhancing teacher competence and, consequently, improving the quality of the learning process.
Ethnoscience-Quizizz test to measure problem-solving skills: a Rasch analysis
Authors: Nisa' Khoirun , Suprapto Nadi , Amiruddin Mohd Zaidi , Sari Eka Putri Dian Nata , Athiah Bilqisth Dwi
Published: September 2024

Problem-solving skills (PSS) are essential for students to face challenges in the 21st century. Based on PISA results, the PSS of Indonesian students are in a low category. Not only that, a few assessments of PSS have been developed. This study aims to analyze the quality of the ethnoscience-Quizizz test (EQT). The research method used is R&D with the ADDIE model. The data analysis technique was based on the Rasch analysis using the Ministep software. The item and person reliability are 0.9 (good) and 0.40. Cronbach’s alpha has a value of 0.53. The MNSQ-ZSTD infit-outfit score is in a suitable category. Each item is relatively accurate and do not have DIF. In addition, the EQT is suitable to measure students’ PSS because it has passed the criteria. The EQT incorporates indicators for problem-solving, making it appropriate for 21st-century learning with an ethnoscience “Kerapan Sapi” problem context. Future studies can use this problem-solving test to determine the profiles of students’ problem-solving abilities using Rasch analysis.
Comprehension of linear systems with two unknowns in secondary education
Authors: Martín Molina Juan Carlos , Maz Machado Alexander , Madrid María José , Rodríguez Baiget María Josefa
Published: September 2024

Over the past few years, teachers and researchers in mathematics education have emphasized the importance of students acquiring a comprehensive understanding of mathematics. However, during the process of learning mathematics in secondary education, some students encounter difficulties with various algebraic concepts. This article presents the key aspects of a descriptive and exploratory study conducted with two groups of Spanish students in the 4th year of secondary education, using a local model to interpret and evaluate their comprehension of linear systems of two equations with two unknowns. This research offers insights into the phenomenological, epistemological, and cognitive aspects exhibited by the students. In particular, the analysis focuses on the conceptual content of the students’ productions. Consistent with similar studies, the results indicate that the students’ comprehension of this algebraic knowledge is mainly technical, rote-based and non-meaningful, although some differences exist between the two groups under consideration. Furthermore, the article discusses how these findings may impact the design and implementation of educational proposals focused on improving students’ comprehension of this knowledge.
Readiness of higher education leaders to implement micro-credentials in Malaysia
Authors: Md Rami Ahmad Aizuddin , Ismail Ismi Arif , Sarman Mohd Amin
Published: September 2024

In Malaysia, higher education institutions (HEIs) have made significant efforts to integrate micro-credentials into their educational systems. However, the status of micro-credentials among these institutions remains ambiguous. Furthermore, there is a few research on university leaders in Malaysia. As a result, a study was conducted to investigate the preparedness of university leaders in implementing micro-credentials within HEIs. This research aimed to unveil the interconnected relationship among key stakeholders and emphasize the necessity for university leaders to reevaluate their roles and perspectives within their respective institutions. The current study used a qualitative approach via a case study method involving five informants from university leaders in public HEIs in Peninsular Malaysia. For data collection and analysis, this study used focus group discussion and thematic analysis respectively. The data analysis led to the development of the major themes that emerged from findings: i) the conceptualization of micro-credentials; ii) human capitals; iii) infrastructures; iv) accreditation; and v) accountability, all of which are referred to as challenges faced by university leaders. The current study hopes that the top university leaders are able to demonstrate clear vision and unwavering commitment that can contribute to the successful integration of micro-credentials within the HEI landscape.
Impact of students’ feedback on their engagement towards online classes during COVID-19 pandemic
Authors: Rudnák Ildikó , Hamza Khadija Aya , Alshaabani Ayman , Garamvölgyi Judit
Published: September 2024

With the emerge of COVID-19 pandemic in Hungary, Hungarian universities have decided to opt for online teaching methods even for foreign language courses. This sudden change has required a better understanding of students’ behaviors in classes also to view the importance of their feedback to enhance teaching quality and teachers’ effectiveness. The purpose of our study was to focus on students’ feedback and its impact on their engagement in the context of online classes, by considering the mediating role of teaching effectiveness in that relationship. Structural equation modelling was used to examine our primary data, which has been collected from a distributed online questionnaire dedicated to 222 students enrolled in Hungarian language courses at MATE University. The findings reveal that students’ feedback has a direct, significant, and positive effect on students’ engagement in online classes and teaching effectiveness, which itself plays a mediating role in that relationship.
Modelling computational thinking with game-based learning among primary school students’
Authors: Mohamed Zulkifley , Ubaidullah Nor Hasbiah , Junus Noor Wahida Md , Angamuthu Kasthuri Devi , Ahmad Ahmad
Published: September 2024

The computational thinking (CT) skills of students will be revised, increasing their future viewpoint in the sphere of scientific activities, notably in education interest. Game-based learning (GBL) appears to have the potential to improve students’ motivation to learn. Students’ GBL is associated with higher mathematics performance, and GBL’s strong relationship with CT may have an even larger effect. The entirety of this CT education research is focused on undergraduate classrooms; little is revealed about how GBL support CT in K-12, particularly in primary schools. This study utilized a Structural Equation Model (SEM) in modelling the relationship between CT and GBL among primary school students. A sample of 90 primary school students from Malaysia was chosen. In this study, the Partial Least Squares-Structural Equation Model (PLS-SEM) was employed to develop the model. The results demonstrate that empirical evidence, coupled with prior observations verified the model developed. The developed model successfully confirmed all the indicator variables stated in the constructs as all of the associations within the model were significant. In conclusion, the lower order components (LOC) along with the hierarchical component model (HCM) in PLS-SEM depicted the relationship between CT and GBL, substantiated empirically.
Information overload, anxiety, stress, and depression of online distance learners
Authors: Masrek Mohamad Noorman , Baharuddin Mohammad Fazli , Jalil Abdurrahman , Aman Fadhilah
Published: September 2024

In the ever-expanding landscape of online education, the mental well-being of online distant learners has emerged as a critical concern. This study delves into the complex interplay between information overload, stress, anxiety, and depression among online distant learners in Malaysian universities. Using a survey research method and utilizing perceptual measures, we explored the psychological states of online distant learners in Malaysia. Based on the analysis of 384 responses, the results showed that online distant learners did not report experiencing information overload, stress, anxiety, or depression. Despite this absence, the study identified significant positive associations between information overload and stress, information overload and anxiety, as well as between stress and anxiety, and anxiety and depression. The implications of this study resonate profoundly in the realm of online education policy-making and implementation.
Teaching profession is stressful: lesson learned from Heilongjiang Province
Authors: Hongyi Xia , Abdul Aziz Nor Azni
Published: September 2024

Numerous studies have documented elevated levels of job-related stress among teachers worldwide. Prolonged exposure to high levels of stress among teachers ultimately results in career burnout, directly contributing to a decrease in teacher recruitment rates as well as the depletion of valuable teaching resources. This study’s objective is to examine the causes of work stress among primary school teachers in Heilongjiang Province, China, and to explore the strategies adopted by headmasters to reduce teachers’ work stress. This study adopts a qualitative research design. Semi-structured interviews were carried out with six respondents from two primary schools in Heilongjiang, China. The finding indicates that primary school teachers have great work pressure, mainly from the factors of workload, interpersonal relationships, salary, and personal development. Some feasible countermeasures were put forward to relieve the pressure which include the management should establish good interpersonal relationships and appropriate evaluation and incentive mechanisms. Teachers’ workload should be reduced, and unnecessary meetings and inspections should be reduced. Teachers should be guided to adjust their mentality and make reasonable career plans. This study concludes methods to alleviate work stress among teachers can be implemented through various means by school management.
Neuroeducation and impact on higher education: a systematic review
Authors: Huangal-Scheineder Sebastián , Cieza-Sánchez Jaime , Diaz-Paredes Manuel , Arriaga-Delgado Miguel , Marchena-Tafur Aurora
Published: September 2024

The educational system is always seeking to optimize the teaching-learning process through new methodologies. In this sense, there is an effort to improve the student’s academic performance through the acquisition of the desired knowledge that will also last in time. Given this reality, neuroeducation is born as a contribution to the development of the educational system within a scientific basis that understands the way people learn. In this context, the objectives were to determine the impact of neuroeducation in higher education and to describe the current state of strategies based on neuroeducation in the higher educational context. Therefore, a systematic review of the literature was carried out applying the PRISMA method, establishing a periodic range of 5 years (2018-2023). The articles selected in this review were 47 documents. The results showed that this discipline has many benefits for students to learn properly, although teachers have little knowledge about it. Finally, it is concluded that neuroeducation brings with it strategies to improve teaching based on stimuli and motivation, thus achieving a good academic performance by the student.
Integrative approach for reading comprehension espousing information communication technology literacy
Authors: Asdar Asdar , Hamsiah Andi , Sujarwo Sujarwo , Lutfin Nursamsilis , Sukmawati Sukmawati
Published: September 2024

This study aimed to investigate the effects of an integrative approach on students’ reading comprehension, using information and communication technology (ICT) and reading comprehension, the students’ digital literacy and reading comprehension. The quantitative method used an analytical study with cross-sectional research. The data was collected through a questionnaire. There were 473 primary schools with a total of 16,286 children (8,476 male students and 7,810 female students) selected at random as a sample of 400 learners in elementary schools. The findings showed that the integrative approach has a beneficial effect of using ICT and students’ reading comprehension and reading literacy. The use of an integrative approach for reading comprehension and using ICT can promote students’ digital literacy. The student’s reading comprehension and the integrative approach technique were favorable, as seen by the students’ excitement and seriousness. The utilization of this integrative approach can enhance the student’s ability to comprehend reading comprehension and get effectiveness and efficiency of the Indonesian language. This study provides integrated reading-literacy technology (IRLT) that significantly impacts reading comprehension through the use of ICT and an integrative approach in the reading instruction.
Course experience as the predictor of career personal efficacy
Authors: Cerveza Ryan L. , Laguardia Jan Kenneth R. , Lapinid Minie Rose C.
Published: September 2024

Despite the proliferation of the culture of accreditation in the country, accreditation evaluations fail to capture authentic student course experience. This study aimed to assess the students’ course experience as to how it can contribute to increasing their career personal efficacy when employed in the work field. The 70 respondents were the education graduates of the college of education of a certain university in the past 6 years. The hierarchical multiple regression (HMR) was used to determine which of these domains can explain a statistically significant amount of variance to the career personal efficacy of the respondents. Correlation analysis r and the analysis of variance (ANOVA) were also employed to determine the relationships of the domains of course experience to career personal efficacy. Results revealed a high correlation between the six domains of course experience and career personal efficacy with good teaching, and clear goals and standards as the best factors among the domains of course experience which can predict career personal efficacy. It is recommended that administrators and policymakers should look into these two domains of the course experience to plan for the development goals of colleges and universities.
Lifelong learning practices of primary school teachers: a systematic literature review
Authors: Mohd Ros Faizah , Zulkifli Hafizhah , Hamzah Mohd Isa
Published: September 2024

The practice of lifelong learning among teachers involves continuous efforts to enhance their knowledge, skills, and competencies through various activities. Previous studies have explored different practices such as reading, collaboration, participation in courses, culturalizing learning, conducting research, and digital learning. However, there is a lack of systematic reviews of these practices. This an article aims to fill this gap by conducting a systematic review of lifelong learning practices among primary school teachers for 5 years since 2019 until 2023. The study integrates various research designs and follows the ROSES publication standard. Articles were selected from databases including Scopus, Web of Science (WoS), and ERIC. Thematic analysis revealed four key concepts: self-learning, continuous training, knowledge integration, and digital networks. Future research can focus on examining the resilience of teachers from diverse backgrounds in adapting to changes in the education system. This study serves as a valuable reference for teachers to assess their own lifelong learning practices and facilitate transformative growth towards becoming knowledgeable educators
The impact of social studies teachers’ use of e-learning techniques to develop student’s perceived self-efficacy
Authors: Al-Hawamdeh Basma Mohammad , Abu Alkishek Israa Omar , Zureigat Haitham Mohammad Ali
Published: September 2024

Private universities in Jordan have witnessed a major shift in teaching methods and strategies, as e-learning techniques have become an integral part of the educational policies followed. Therefore, the study aimed to identify the effect of social studies teachers’ use of e-learning techniques in developing the perceived self-competencies of university students, depending on gender and field of specialization. To achieve this, the descriptive analytical method was used in conducting the study. The perceived self-efficacy test was applied to a sample of 292 university students who were randomly selected. The study found that e-learning techniques contributed to raising the level of perceived self-efficacy among males more than among females. It did not have a significant impact on its interaction with the student’s field of specialization. The results also indicate the importance of the role played by social studies teachers with technological educational techniques in improving the level of students’ self-efficacy. Moreover, social relations are among the most important factors contributing to building a conscious generation that preserves human dignity. Therefore, we must research the negatives of e learning to find out the reason behind the lack of improvement in the level of perceived self-efficacy among females.
Listen-search-read-discuss: an innovative lesson design to improve students’ scientific literacy in higher education
Authors: Junanto Tulus , Budiyono Budiyono , Akhyar Muhammad , Suryani Nunuk
Published: September 2024

Scientific literacy enables prospective teachers to use science processes and products, allowing them to engage in scientific discussions about social issues. The listen-search-read-discuss (LISERED) learning model was developed by researchers to enhance scientific literacy. This study aimed to assess the implementation of the LISERED model in improving students’ scientific literacy skills. The research followed a quasi-experimental design with pretest and post-test control groups. The study collected data on scientific literacy in chemistry education programs, involving 62 students as samples. The efficacy test utilized a written multiple-choice test, specifically the test of scientific literacy skills (TOSLS). The results indicated a high effect size (ES) for the LISERED model in enhancing scientific literacy mastery (ES Cohen=2.859; ES Hedges=2.824; and ES Glass=3.285). This model facilitates a more interactive and engaging learning environment, enabling students to develop a deeper understanding of science. Implementing the LISERED model empowers teachers to significantly enhance students’ scientific literacy comprehension.
The impact of technology, learning style, instructional approach, and attitude on learning outcomes
Authors: Hala Majlinda , Xhomara Nazmi
Published: September 2024

The study aims to investigate the relationship between the learners’ technology experiences, cooperative learning style, student-centered instructional approach, and positive student attitude toward learning outcomes. Quantitative correlation model, a semi-structured instrument, and a cluster random sample of subjects (N=319) were decided to be employed in the research-study. The study reported a relatively low positive relation between learners’ technology experiences and learning outcomes variables (r=.328), an intermediate positive connection between cooperative learning style and learning outcomes constructs (r=.485), a relatively low positive association in the middle of student-centered instructional approach and learning outcomes (r=.394), as well as between positive student attitude and learning outcomes (r=.329). The whole variance of learning outcome levels described by cooperative learning style is 34.7%, by student-centered instructional approach is 23.9%, by positive student attitude is 10.8%, and by learners’ technology experiences is 5.6%. The results of the study are important for departments as well as for lecturers and students.
Action competence for sustainability instrument base on spirituality for prospective science teacher
Authors: Husamah Husamah , Suwono Hadi , Nur Hadi , Sabilah Fardini
Published: September 2024

Science teachers are the main actors in developing students’ action competence for sustainability (ACS) in the future. Considering that the majority of teachers and prospective science teachers have a spiritual foundation, the spiritual aspect should be an integral part of the ACS. Therefore, an instrument is needed that can measure the level of ACS that includes aspects of spirituality in it. This study was designed to develop and validate an instrument for prospective science teacher in in the form of action competence for sustainability instrument base on spirituality (ACSIS). The instrument was developed based on previous research findings and focus group discussions involving eleven experts. The factors and internal consistency were examined by involving 634 prospective science teachers in Indonesia. Validity and reliability were tested using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). This study’s results showed 21 questionnaire items (four dimensions) with acceptable internal validity and consistency. The ACSIS is recommended to measure the level of ACS for prospective science teachers, specifically in Indonesia, and countries that have the same characteristics of educational problems and potential.
Demographic factors affecting technological pedagogical content knowledge in Generation-Z preservice biology teachers
Authors: Sudrajat Ahmad Kamal , Ibrohim Ibrohim , Susilo Herawati
Published: September 2024

Generation-Z dominating preservice biology teachers in this era. Teachers’ TPACK is influenced by factors such as demography. Technological, pedagogical and content knowledge (TPACK) is a framework used in teacher competence in Indonesia. This research will contribute to the training process of Generation-Z preservice biology teachers who have special characteristics. This study aims to determine the effect of demographic factors on the TPACK of Generation-Z preservice biology teachers. A total of 652 Generation Z preservice biology teachers from biggest ten Indonesian educational universities participated in this survey. The research results show that only gender has a relationship with TPACK in every aspect. Motivation to become a teacher influences TPACK, except for the technological knowledge (TK) aspect. In contrast, other aspects do not influence TPACK. Gender and motivation to become a teacher are factors that need attention in the training process for prospective biology teachers. Universities and the government can use these results to formulate suitable training programs for preservice biology teachers in Indonesia.
The impact of continuous professional development on teaching quality: a systematic review
Authors: Ambon Josephine , Alias Bity Salwana , Komariah Aan , Mansor Azlin Norhaini
Published: September 2024

This article explores the impact of continuous professional development (CPD) on teaching quality. The article provides a comprehensive overview of CPD, focusing on pedagogical skills, classroom problem-solving abilities, and the mediating role of leadership within educational institutions. This study used PRISMA approach by analyzing 2,432 English-language publications from 2023 to 2024 taken from the Scopus, Web of Sciences (WoS), and ERIC databases. The data were collected, reviewed, and underwent a peer-review process before a systematic literature review. This article synthesizes findings from final articles (n=24) into five main themes: student perceptions and teaching quality, professional development (PD) and teacher learning, role of leadership in teacher development, assessment and evaluation in teaching, and collaboration and community in teaching. The review reveals that CPD significantly enhances teaching quality by improving pedagogical skills and problem-solving capabilities in the classroom. Furthermore, leadership within educational institutions plays a crucial role in facilitating the positive effects of CPD on teaching quality. By fostering an environment that supports PD, collaborative learning, and reflective practice, educational leaders can amplify the benefits of CPD. This study contributes to the understanding of how CPD and effective leadership together can elevate teaching standards and outcomes, offering valuable insights for policymakers, educators, and academic leaders aiming to enhance educational quality through PD.
A systematic review of impostor syndrome in higher education
Authors: Yang Xiaohan , Yeo Kee Jiar , Lee Shih-Hui , Handayani Lina
Published: September 2024

Impostor syndrome is a psychological phenomenon characterized by persistent feelings of inadequacy and self-doubt despite evidence of competence and success. This systematic review aims to explore the prevalence, impact, and factors associated with impostor syndrome among individuals in higher education settings based on recent 6 years’ publication in journals (from 2019 to 2024). A comprehensive search of electronic databases was conducted, yielding a total of 37 relevant studies that met the inclusion criteria. The findings suggest that impostor syndrome is a prevalent issue among students and faculty academic staff in higher education, with varying degrees of severity. The syndrome can negatively impact academic performance, career development, and overall well-being. Several factors contribute to the development of impostor syndrome, including gender, minority status, high achievement orientation, and perfectionism. However, further research is needed to better understand the underlying mechanisms and effective strategies for addressing impostor syndrome in higher education.
Legal Systems and Loss & Damage at the Ocean-Climate Nexus: a Tribute to Meinhard Doelle
Authors: Seck Sara L
Published: September 2024

In 2021, the Research Handbook on Climate Change Law and Loss & Damage was published. Co-edited by myself and my late colleague Meinhard Doelle, the Handbook seeks to clarify the need for legal systems, both within and beyond the climate regime, to evolve so as to fairly and equitably address climate loss and damage claims. The Handbook considers the challenges of legal remedy for climate loss & damage from the perspectives of public international law and domestic, transnational, and private international law. While loss & damage at the ocean-climate nexus is implicit in many chapters, this contribution will reflect explicitly on how the lessons from the Handbook could apply at the ocean-climate nexus, with reference to the London Convention and Stockholm Declaration at fifty, developments at COP 28, and the Advisory Opinion on Climate Change before the International Tribunal for the Law of the Sea.