bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of AutistAR to enhance communication and social skills among children with autism
Authors: Hushairi Natasha Amira , Mohamad Ashari Zakiah , Yeo Kee Jiar , Handayani Lina
Published: July 2024

Individuals diagnosed with autism spectrum disorder (ASD) may have serious fundamental deficits in communication, social, inventiveness, and constructive skills. In the age of technology, children with disabilities frequently employ assistive technologies to aid in their learning and support the rehabilitation process, particularly for autism. Individuals with ASD require technology-based tools such as software or applications that could assist them with communication, language, organizing skills, and information processing. This research developed an augmented reality (AR) application integrating picture exchange communication systems (PECS) to aid children’s communication and social skills. A single-case experimental design (SCED) method was used to analyze the features and effectiveness of AutistAR. The study included a sample of two individuals diagnosed with ASD, characterized by restricted communication and social abilities. The result revealed that there was an improvement in overall communication and social skills in both participants. The ramification of the findings is further explored.
Exploring multisensory programs as early literacy interventions: a scoping review
Authors: Solichah Novia , Fardana Nur Ainy
Published: July 2024

It is essential for children in their early childhood to possess early literacy. Over the past decade, there has been relatively limited exploration of multisensory approaches to enhance literacy skills in early childhood. Consequently, this study aims to conduct a scoping review to identify and synthesize research supporting multisensory programs as an early literacy intervention for children. We conducted searches in seven databases that were published from 2012 to 2022, resulting in the inclusion of sixteen articles meeting the specified criteria. Our findings reveal several forms of multisensory programs that parents can carry out to improve early literacy skills: i) visual (e.g., drawing, interpreting the meaning of the words/sentences they read, playing with alphabet cards, reading words or sentences correctly, and reading labels on food and toy packaging);
ii) auditory (e.g., singing, reading story books, mentioning letter sound symbols, spelling syllables, language activities, speeches, and storytelling); iii) kinesthetic (e.g., dividing words according to syllables in children using media strips, writing, clapping, marching, dancing, and drama); and
iv) tactile (e.g., write the word with the index finger on the flannel/cloth). Most of the included studies employed experimental or quasi-experimental study designs. Thus, future studies are advised to incorporate randomized controlled trials.
Factors affecting learner engagement in HyFlex learning environments
Authors: Yingyi Xu , Razak Rafiza Abdul , Halili Siti Hajar
Published: July 2024

Higher education institutions are increasingly implementing hybrid flexible (HyFlex) learning mode due to its accessibility and flexibility. However, little is known about students’ engagement and potential predictors in this learning approach. This study’s objective was to look into strategies for enhancing learner engagement in HyFlex learning environments. In this study, the relationships between specific predictors (learner control, self-efficacy, and learning motivation), learners’ perceived community of inquiry (CoI) presences, and learner engagement in HyFlex learning environments were investigated using partial least squares structural equation modeling (PLS-SEM). In order to collect data on the study’s variables, an online survey was completed by 367 students who were enrolled in the HyFlex learning environments at a Chinese college. The results indicated a direct and positive relationship between learner engagement and factors such as self-efficacy, learner motivation, and learners’ perceived CoI presences. However, learner control did not have a direct and positive impact on learner engagement. Instead, it indirectly influenced learner engagement by affecting learners’ perceived CoI presences. In addition, the relationships between learner motivation and engagement, as well as self-efficacy and learner engagement, were significantly mediated by the learners’ perceived CoI presences. The findings offer fresh perspectives on the roles of learner control, self-efficacy, learner motivation, and learners’ perceived CoI presences in HyFlex learning, with implications for learning processes and learner engagement.
The acceptance model for camera simulators as a learning media for Indonesian vocational student
Authors: Suwastika Novian Anggis , Masrom Maslin , Qonita Qori , Yasirandi Rahmat , Nuha Hilal Hudan
Published: July 2024

This study investigates the acceptance of camera simulator technology as a learning media by Indonesian vocational high school (VHS) students and examines the relationships among influencing factors. It proposes an acceptance model integrating the technology acceptance model (TAM) 3 and the unified theory of acceptance and use of technology (UTAUT). Ten factors impacting technology acceptance were identified, resulting in the formulation of 15 hypotheses regarding inter-construct relationships. In this empirical study, a quantitative approach was employed, distributing questionnaires to 200 students at Public Vocational High School 10 in Bandung, specializing in broadcasting and filmmaking programs. After analyzing 145 valid responses, the study progressed in two stages: the measurement model and the structural model. The evaluation of the measurement model confirmed the validity of all indicators and constructs, ensuring compliance with the established standards. In the structural model evaluation, one construct (computer anxiety) and four inter-construct relationships were excluded. This research enhances our understanding of factors influencing camera simulator technology acceptance among VHS students in Indonesia, shedding light on the complexities of their decision-making process in adopting this educational tool.
Contemporary education: globalization and transformation process under the influence of artificial intelligence
Authors: Tsekhmister Yaroslav , Konovalova Tetiana , Tsekhmister Bogdan , Pushkarova Tamara , Nahorniak Svitlana
Published: July 2024

This study is aimed to investigate the problem of globalization and transformation processes in contemporary education under the influence of artificial intelligence (AI) on the basis of systemic literature review, to examine AI implications in education and to outline the opportunities for AI research in future. To achieve the objective, we analyzed 159 articles published in Scopus, Web of Science Core Collection, EBSCO, PubMed, Index Copernicus, and Google Scholar databases between 2019 and 2023. The research was conducted in accordance with the PRISMA 2020 statement in four phases: reference search, selection of relevant papers, specific analysis, evaluation of publications’ contributions and preparing the review. The results show that a great number of scientific publications are related to AI research. We found that most of the articles were published in Asia, Europe, and North America in 2022. AI tools are most used while training medical students, information technologies (IT) specialists, engineers, business or management students. The analysis of publications showed that AI is used for data analytics, introduction of personalized learning, providing feedback, online learning, and automated assessment most often. We consider that AI-driven technologies currently play an important role in education and the number of publications testify that its implementations will extend in future. The study has contributions for outlining the role of AI-related tools in educational process.
Development and refinement of the interview protocol: interview questions for international school teacher retention
Authors: Leong Sok Yee , Said Hamdan
Published: July 2024

For novice researchers, creating a list of interview questions as part of the interview procedure to collect data for addressing the research questions is always a challenge. Despite several studies have provided vital suggestions for novice researchers in developing and refining interview questions, few studies offer a clear path for designing and improving interview questions. The suggested guidelines from past research lack empirical evidence, particularly in the field of education. This study aimed to present the process of developing and refining an interview protocol used in an international school teacher retention study. This study suggested and tested five phases in the development and refinement of a qualitative interview protocol: i) establishing preliminary questions based on a literature review; ii) ensuring alignment of interview questions with research questions; iii) constructing an inquiry-based conversation; iv) receiving feedback on interview protocols; and v) piloting the interview protocols. It provides comprehensive and user-friendly guidance for novice researchers in developing qualitative instruments. Using this roadmap can help novice researchers to prepare for the interview process, remain open to new findings and enhance the effectiveness of qualitative interview tools.
Research productivity on science learning: a bibliometric study international from 2013 to 2023
Authors: Widayanti Widayanti , Istiyono Edi , Haryanto Haryanto , Retnawati Heri , Sinensis Arini Rosa , Bujuri Dian Andesta
Published: July 2024

This research focuses on evaluating research productivity in the realm of science learning using various bibliometric indicators. A total of 4,942 scientific publications were taken from the Scopus database from the period 2013–2023, applying related keyword searches. The result is presented in graphical form. Studies also use VOSviewer and Biblioshiny tools through R to evaluate network visualizations and find the most prolific authors, number of publications and citations, country representatives, organizational and university contributions, publishers, and frequently appearing words. The results reveal a growing trend in total publications in the past 10 years of research. Out of a total of 4,942 scientific publications, NA NA is one of the most prolific authors. The USA and China are the most productive countries when it comes to publishing research in the field. The University of California, National Taiwan Normal University, and Purdue University are reported to be the top three productive organizations in the field of science learning. The study also looked at collaboration and cooperation between authors, countries, and organizations in visualization analysis. The results of the word that often appears are reported to be that science, education, learning, and effects have maximum link strength.
Global transformational leadership scale: cross-cultural adaptation of Indonesian sports science student context
Authors: Mahardika I Made Sriundy , Blegur Jusuf , Berliana Berliana , Anaktototy Jacob , Boleng Lukas Maria , Arhesa Sandra
Published: July 2024

Transformational leadership has become an essential aspect of life skills integrated into a learning activity. At the same time, the tools for evaluating transformational leadership in the context of sports students in Indonesia still need to be improved. This study aims to adapt the global transformational leadership scale (GTLS) into the Indonesian version constructed from seven potential behaviors (vision, staff development, supportive, empowerment innovative, lead by example and charismatic). Testing content validity uses nine raters from various disciplines. Construct validity uses 297 students and concurrent validity by correlating GTLS scores with the leadership practices inventory (LPI). The data were analyzed using the Aiken formula, factor analysis, Pearson, and Cronbach's alpha with the help of the SPSS-AMOS. The result was that the seven adapted GTLS items met the Aiken validity parameter=0.74-0.96, construct validity (discriminant index=0.59-0.70; factor loading=0.63-0.77; p-value=0.000; RMR=0.013; GFI=0.961; TLI=0.952, CFI=0.968; RMSEA=0.080), concurrent validity (r=0.467), and reliability parameters=0.87. Thus, the Indonesian version of GTLS is valid and reliable for measuring transformational leadership in sports student culture. However, GTLS only facilitates members’ perceptions of their group leaders, so it is necessary to develop a GTLS scale oriented towards students perceiving their transformational leadership. These two data from different perspectives (peer and self-perception) enlarge the results of lecturers' comprehensive measurement, assessment, evaluation, and improvement of their students’ leadership.
Career-focused teaching and its effects on students’ biology-technical-vocational-fused skills
Authors: R. Honra Joelash , C. Monterola Sheryl Lyn , T. Yangco Rosanelia
Published: July 2024

The K to 12 program in the Philippines, initiated in 2012, brought about challenges like job mismatch among senior high school (SHS) graduates. Addressing this issue requires integrating technical-vocational-livelihood (TVL) skills with core subject skills, particularly in biology. This study explores how the career-focused teaching approach (CFTA) nurtures biology-technical-vocational-fused skills (BTVFS). Using a pretest-posttest quasi-experimental design, two grade 11 classes (35 students each) participated-one exposed to CFTA and the other to conventional teaching. Quantitative data from a researcher-made BTVFS questionnaire were analyzed with an independent samples t-test, revealing significant differences in all BTVFS subcomponents; t(68)=3.670, p<0.036. Qualitative data from reflective journals aligned with BTVFS subskills (metacognition, communication, problem-solving, and collaboration). CFTA proved instrumental in enhancing the BTVFS of students, emphasizing its importance in the curriculum across SHS core subjects to mitigate job mismatch for K to 12 graduates.
A review of engagement strategies for massive open online courses
Authors: Md Nujid Masyitah Binti , Tholibon Duratul Ain
Published: July 2024

The United Nations adopted the sustainable development goal of “quality education” as one of its objectives. In emergency teaching and learning amid the outbreak in 2019, the emphasis has been placed on providing a versatile and easily accessible lifelong learning experience to ensure high-quality education. One type of online e-learning course is the massive open online course (MOOC). It provides a free course that may be taken whenever and anywhere. However, difficulties have come up regarding student performance, course completion, and dropping out as a result of quality assurance of e-learning platforms like MOOC. In order to keep students interested in the course until the end, this study will review and recommend MOOC strategies. The strategies in enhancing for MOOC engagement reveals that they include development, collaboration between educators and students, and evaluation. Self-regulation learning is a crucial motivation in retention from dropping out of the MOOC facilitates participation through the utilization of innovative pedagogies, as well as the interaction between students and educators on both the MOOC platforms and social media platforms according to research. Course information and instructional design are also found to attract learners to complete the course. Giving prizes for completing MOOC assignments and tests is an extra choice in retaining from dropping out the course. The contribution of study is MOOC online learning engagement strategies are introduced. By developing a good course design, collaboration between students and educators and evaluation performance based can enhance students’ engagement to completion of the course.
Applications of machine learning in operational aspects of academia: a review
Authors: Nadeem Muhammad , Farag Wael , Uykan Zekeriya , Helal Magdy
Published: July 2024

Educational institutions, propelled by digital transformation and sophisticated machine learning (ML) algorithms, amass plentiful data, facilitating the execution of complicated decision-making tasks previously inconceivable. ML’s pervasive influence extends beyond pedagogy and research, profoundly altering the fabric of academia and reshaping university functionalities. Its deployment in university administration enhances efficacy, efficiency, and operational streamlining across diverse levels. This article conducts a comprehensive review of extant knowledge pertaining to the diverse applications of ML in non-teaching domains within academic settings, delineating avenues for future research. The recognized findings furnish a robust foundation for the further exploration and refinement of ML applications, particularly within the administrative and operational realms of academia. A consequential outcome of this transformative integration is the mitigation of teachers’ administrative burdens. In practical terms, this liberation affords educators the opportunity to redirect their time and energy towards their primary responsibilities of educating and fostering the intellectual development of their students.
The effect of lesson study approach on developing teachers’ reflective thinking as a self-assessment tool
Authors: Al-Hattami Abdulghani , Bawaneh Ali Khaled
Published: July 2024

Lesson study approach is a professional development strategy used by teachers to improve students’ learning through collaboration and continuous improvement of teaching practices. Studies have shown that implementing a lesson study can increase teacher efficacy, improve students’ achievement, and positively impact school culture. The aim of the research is to examine the effect of using lesson study strategy on developing reflective thinking among teachers. The study applied an experimental design on a sample consisting of 96 (55 experimental group, 41 control group) teachers. A validated reflective thinking questionnaire was used to collect data. The results showed that there are statistically significant differences in favor of the group participated in the lesson study, with a high effect size of 0.84. The results also showed that there are no statistically significant differences attributable to teachers’ experience or the educational level. The paper concludes with a set of recommendations, highlighting the significance of endorsing school-based professional development through lesson study. The adoption of this method is considered crucial in promoting reflective thinking among teachers.
Developing teachers’ professional performance based on dual intelligence: a mediation perspective
Authors: Widodo Widodo , Sumadyo Bambang , Suparman Heru , Tjitrosumarto Sumaryati
Published: July 2024

Teacher professional performance is crucial for schools to improve students’ academic performance and success. However, research on this issue still needs to be completed, including the factors influencing it. Therefore, this study focuses on investigating the role of interpersonal communication skills (ICS) in mediating cultural intelligence (CI) and emotional intelligence (EI) affect teachers’ professional performance. The participants are 455 Indonesian teachers selected by accidental sampling from three provinces in Indonesia. Data was collected by distributing Likert scale questionnaires and analyzed using structural equation modeling (SEM) performed by LisRel 8.80. All hypotheses were supported (significant). It means CI, EI, and ICS are related to teachers’ professional performance; CI and EI link to teachers’ ICS; and ICS mediates CI and EI affect teachers’ professional performance. This evidence promotes a new model of CI and EI affecting teachers’ professional performance via ICS. It provides a theoretical contribution, and practical implication requires critical discussion among researchers, scientists, and practitioners.
Post-COVID-19 Malaysian parents’ views on children’s vaccination: subjective norms analysis
Authors: Abd Rahman Noor Amira Syazwani , Ju Soon-Yew , Razali Jamal Rizal , Hamdan Nur Hazirah , Ridzuan Mohd Rozaimy , Kong Lai-Kuan
Published: July 2024

Vaccinating children is a critical life-saving measure that ensures herd immunity and saves numerous lives. However, the rising trend of parental refusal to vaccinate poses a significant threat to disease containment within societies. Amid the widespread COVID-19 pandemic in Malaysia, this study examines how subjective standards impact parents’ vaccination intentions and behaviors. Lockdowns and travel restrictions during the pandemic caused a decline in vaccination rates due to missed appointments for children’s vaccinations. Even post-pandemic, some parents persist in refusing vaccination for their children. Conducting an online survey and employing quantitative, the study collected data from parents with children aged 1 day to 15 years old. Analyzing the data through IBM SPSS and employing SmartPLS 4.0.9.5 software, specifically using partial least squares-structural equation modeling (PLS-SEM), revealed significant insights. The findings indicate that parents’ willingness to vaccinate their children significantly predicts their actual vaccination behavior. Moreover, social norms positively influence parental vaccination intentions. The study highlights the mediating role of vaccination intention between social norms and actual vaccination behavior among parents. Overall, this empirical research strongly supports the theory of planned behavior (TPB) model, emphasizing the importance of targeting social norms to foster vaccination behavior and elevate vaccination rates.
Students’ learning motivation in English for specific purpose in Chinese universities
Authors: Guosheng Xu , Xiaoyu Zhang , Baihui Qian
Published: July 2024

A large number of studies at home and abroad have demonstrated the importance of university students’ English learning motivation, but few studies have focused on a certain field, or students’ major particularly under the context of Chinese private university. This research explores students’ motivation to learn English for specific purposes (ESP), and 123 student participants majoring in mechanical and electronic engineering in Shandong Huayu University of Technology participated in the research. Data are presented qualitatively and quantitatively. Students filled in a quantitative questionnaire about learning motivation, then SPSS27 was used to analyze relevant data. In addition, focus group interview, as a qualitative means, was used in the research, and 12 student participants who were going to attend ESP class showed their opinions in the group interview. The results showed that students’ learning motivation comes more from teachers’ personal charm, harmonious teacher-student relationship and comfortable and warm learning environment, while setting difficult tasks for them is not their main motivation. The research results provide a useful reference for teachers to adopt teaching practices that motivate students to learn in ESP class.
Towards global citizenship–role of cross border higher education across the ASEAN region
Authors: Khalid Bilal , Kurowska-Pysz Joanna
Published: July 2024

The Association of Southeast Asian Nations (ASEAN) region has been experiencing a vibrant economy with heavy investment in higher education as an economic development driver. Being home to over 630 million people and more than 7,000 higher education institutions (HEIs) and over 12 million students, it was critical to evaluate the role of cross-border higher education in the region. This study aimed to investigate the factors and motivations contributing to the success and efficacy of cross-border higher education in the ASEAN region. Additionally, it sought to examine the impact of cross-border education on the development of global citizenship. A quantitative study was conducted using secondary data from the repositories of the World Bank and UNESCO Institute for Statistics (UIS). Data was analyzed using descriptive visualizations and regression analysis. Results indicated variations in HEIs investments, with Brunei having the least. Many students moved from the ASEAN region to seek higher education in other regions, with Vietnam having the highest number of 137,022 students. The majority of these ASEAN countries have more than 10,000 higher education students' abroad. The United States, Australia, and Japan were the significant destinies of students from the ASEAN region. Government expenditure on tertiary education, gross domestic product (GDP), tertiary school enrolment, and GDP growth rate were found to have a significant influence on cross-border higher education mobility. Policy recommendations were the development of international collaborations, cross-border partnerships, and cross-national harmonization to enhance the partnership and mobility of higher education students in the ASEAN region.
Validity of instrument to measure mathematics teachers’ perceptions towards 4C skills in problem solving
Authors: Zakaria Mohamad Ikram , Noor Nasran Nik Abdul Hadi , Abdullah Abdul Halim , Alhassora Najua Syuhada Ahmad , Hanid Mohd Fadzil Abdul
Published: July 2024

In the contemporary education 4.0 landscape, teachers are urged to prioritize the communication, collaboration, critical thinking, and creativity (4C) skills during teaching and learning, recognized as crucial skills for the 4.0 industrial revolution (I.R 4.0). This research aimed to develop and validate an instrument assessing mathematics teachers' perceptions of the 4C skills through problem-solving teaching method. Employing a quantitative research design, the study utilized a questionnaire for data collection, involving four experts and 120 participants. Descriptive analysis using Cronbach's alpha and exploratory factor analysis (EFA) revealed a high reliability (Cronbach's alpha=0.934) and factor eigenvalue exceeding 1. The KMO values (Kaiser–Meyer–Olkin) for each construct were 0.50, and Bartlett's Test was significant (<0.5). Additionally, each item demonstrated a factor loading value above 0.50 and a variance percentage of ≥60%. The instrument comprised 4 sub-constructs and 16 fitting items. In summary, the study affirms the utility of this instrument in investigating mathematics teachers' perceptions of 4C skills through problem-solving teaching methods.
Effectiveness of digital learning on students’ higher order thinking skills
Authors: Mat Hamidah , Mustakim Siti Salina , Razali Fazilah , Ghazali Norliza , Minghat Asnul Dahar
Published: July 2024

In the realm of education, learning and instructional activities play a crucial role in cultivating lasting and meaningful comprehension among science students. This research aims to evaluate the effectiveness of the i-Genius module in enhancing students’ performance in science. The i-Genius module’s development adhered to the ADDIE model, and two specific research questions were formulated: i) is there a statistically significant difference in mean scores between the experimental and control groups? and ii) to what extent can i-Genius contribute to students’ conceptual evolution compared to traditional methods? To address these questions, a sequential mixed-method approach involving interviews, pre-tests, and post-tests was implemented in two distinct schools in the Seremban District. The experimental group comprised 35 participants, and the control group also included 35 students with similar characteristics. Student performance, assessed through pre-test and post-test mean scores, revealed that students exposed to i-Genius achieved significantly higher scores than those exposed to traditional methods in the post-test (t(68)=8.37, p<0.05). This study’s implications lie in its practical application within the school context, offering an alternative instructional tool for teaching science and presenting an instructional model to guide teachers in formulating strategies that encourage problem-posing within the science curriculum.
Early childhood social-emotional development: an impact on a developing country
Authors: Rafiyya Aishath , Kraiwanit Tanpat , Limna Pongsakorn , Sonsuphap Rattaphong , Kasrisom Arnon , Snongtaweeporn Teeradej
Published: July 2024

Early childhood social-emotional development profoundly shapes a child's well-being and future success. This study explains how legislative and regulatory strategies and policies regarding early childhood social-emotional development impact a developing country, specifically focusing on Thailand. Using a qualitative approach, in-depth interviews with 12 key informants in Thailand were conducted via purposive sampling. Data analysis involved documentary and content analyses. The study unveiled critical policies and strategies to support early childhood social-emotional development. These encompass early childhood education and care programs, enhanced professional development and support for educators, increased family engagement, accessible mental health support, and robust assessment and monitoring systems. Social-emotional development carries substantial economic implications, affecting education, workforce productivity, healthcare, crime rates, and overall societal well-being. Effective early childhood social-emotional development policies and strategies can boost children's well-being and future success. Therefore, investing in early childhood education and care programs, improving professional development for educators, fostering family involvement, offering mental health support, and implementing vigilant assessment and monitoring systems can empower young children to thrive in the short and long term.
Effect of missing values on the matching item in the graded model
Authors: Darweesh Haitham Fuad Jamil , Zureigat Haitham Mohammad Ali
Published: July 2024

The study aimed to examine the effect of the percentage of missing values on the matching of the items of the graded model. To achieve this, the experimental approach was followed in conducting the study, as hypothetical data were used to simulate the experimental conditions represented by the percentage of missing values. It has three levels (5%, 10%, and 20%). Moreover, the compensation method is represented by simple regression. The study found that there were no statistically significant differences in the percentage of items matching the graded model according to the missing percentages (5% and 10%). Moreover, there were statistically significant differences in the percentage of items matching the graded model according to the missing percentages (20%). Therefore, we must use the different nonparametric item response theory (IRT) models because of the good information, it provides to researchers about the test and its items without missing items suitable for this purpose and prejudice—the cumulative response of the subjects.
Impact of professional development activities on teachers’ formative assessment practices
Authors: Lam Le , Lien Vu Phuong , Hung Le Thai , Vy Nguyen Thi Phuong
Published: July 2024

This study aims to explore the impact of professional development (PD) activities on the practice of formative assessment, mediated by outcome expectancy and self-efficacy. The study used a survey method to unveil compelling insights among 5,546 primary teachers within the context of Vietnam. The findings from partial least squares structural equation modeling (PLS-SEM) demonstrated a significant impact of PD on teachers’ outcome expectancy regarding formative assessment and their self-efficacy in practicing it. The study emphasizes that PD significantly enhances the effectiveness of practice when interconnected with outcome expectancy and self-efficacy. When teachers anticipate positive outcomes and possess strong self-belief, PD notably improves their classroom formative assessment practices. These findings underscore the importance of tailoring PD initiatives to bolster teachers’ outcome expectancy and self-efficacy. By emphasizing these aspects, PD can significantly elevate its positive influence on classroom practices, especially in formative assessment. This study provides crucial insights for educational policymakers and institutions aiming to maximize the impact of PD programs for primary educators in Vietnam.
Unleashing analytical mastery: elevating HOTS with hybrid project-based learning in academic writing courses
Authors: Rochmahwati Pryla , Yuliasri Issy , Sukarno Sukarno , Pratama Hendi
Published: July 2024

This groundbreaking study addresses a significant research gap in modern pedagogy by examining the revolutionary effects of hybrid project-based learning (HPBL) on high-order thinking skills (HOTS) in English as a foreign language (EFL) writing instruction. By employing a quasi-experimental design and incorporating the participation of 85 students as a population, this study addresses two crucial inquiries: i) the degree to which HPBL impacts the overall writing abilities of EFL students enrolled in an academic writing course and ii) how HPBL enhances the analytical capabilities of the students. The argumentative writing test was employed as a research instrument. The research demonstrates a significant writing and analytical mastery enhancement through rigorous paired sample testing and validation. This research not only makes substantial contributions to the ongoing scholarly discourse but also underscores the critical significance of further exploring the dynamic attributes of HPBL, thus further establishing its position as an indispensable element of modern language instructions.
Teaching perspective during COVID-19: coping and stress
Authors: Cossio Ale de Preciado Ana Maria , Brito Garcías José Gregorio
Published: July 2024

This study aimed to analyze the indicators related to coping and stress or burnout perceived by teachers who worked virtually during the COVID-19 pandemic; it presented a descriptive quantitative approach. The data collection technique used was a survey and a self-administered questionnaire as the instrument used, structured in five dimensions: stressful situations during virtual work, perceived feelings, teacher coping, perception of optimism, and lifestyle assumed due to the pandemic. The sample selected for the study was composed of 97 teachers who experienced virtual teaching in various regions of Peru. The study concluded that teachers experienced stressful situations, made strong sacrifices, faced and sought alternatives, and were assertive and calm. They have had both positive and negative feelings about remote education. This survey showed optimistic changes, making teachers strive to adopt a new lifestyle dedicated to training independently and improving technological skills, among other aspects
STEM-based digital disaster learning model for disaster adaptation ability of elementary school students
Authors: Arwin Arwin , Kenedi Ary Kiswanto , Anita Yesi , Hamimah Hamimah , Handrianto Ciptro , Zainil Melva
Published: July 2024

Efforts are required to enhance community resilience to disasters, especially among elementary school students who are highly vulnerable to losses caused by natural disasters. In previous research, a science, technology, engineering, and mathematics (STEM) based digital disaster learning model was developed for elementary school students, so further research is needed to determine its effect on the adaptability of elementary school students. This study aimed to assess the impact of the STEM-based digital disaster learning model on the disaster adaptation abilities of elementary school students. This research is a quasi-experimental. The data collection instrument is the disaster adaptation ability essay test questions. The data analysis process uses the help of the SPSS 26 application. The findings found an average difference in students' disaster adaptation abilities between STEM-based digital learning models and conventional learning models. This finding was also reinforced by the post-test average scores of students who studied using STEM-based digital disaster learning models, which were higher than those with conventional learning models. So overall, the STEM-based digital disaster learning model increases elementary school students' disaster adaptation abilities. The implications of this research can be used as a reference in developing elementary school students' disaster adaptation abilities.
Chinese business English undergraduates’ speaking proficiency: a developed-module effect
Authors: Hu Ke , AlSaqqaf Asmaa
Published: July 2024

The rapid growth of English in the world has resulted in its vital role in diverse domains. However, the outcomes of learners' speaking skills remain controversial. The objective of the study was to investigate the effect of the developed teaching speaking module on the speaking proficiency of 96 Chinese English as a foreign language (EFL) business English undergraduates at the target applied university in China. This module integrates content-based instruction (CBI) and a three-stage skill development approach, namely awareness-raising, appropriation, and autonomy (3As approach). A quantitative study with a pretest and posttest quasi-experiment design was carried out at an applied university within an interventional period of 10 weeks, employing pretests and posttests as data collection tools. The quantitative data were analyzed using the SPSS 29 version suggesting that this teaching-speaking module yields significantly improved speaking proficiency among Chinese EFL undergraduates in business English than the traditional classroom has done. These findings shed a favorable light on the development of curriculum and instruction for teaching English for specific purposes (ESP) and the education of English majors in China.
Academic researchers, come on! Integrate social media in pedagogy
Authors: Sharma Vipin Kumar , Begum Suraj
Published: July 2024

Teaching and learning have changed tremendously from traditional teaching to teaching integrating social media (SM) because of immense educational technological advancements and pedagogical innovation. Teachers, thus far, use conventional teaching as a seasoning tool and meet adaptability issues to the new learning environment. In this paper, we define SM, its related aspects, the vitality of social media networks (SMN), and how SM facilitates teaching and learning in tertiary education. It also contends with the benefits of their integration into pedagogy by teachers and students and answers a few fundamental questions on integrating SMN in teaching and learning. Accordingly, a few challenges do appear at different stages that scare us to reflect on SM as a distractor to pedagogy. To integrate and identify challenges in learning and teaching, we claim that a curriculum should be designed incorporating SMN as catalysts and managed as a learning community. The resources needed to operate SMN are also illustrated for both stakeholders to utilize and work together to collaborate for the learner-centered approach to teaching where learners use SMN to share, discuss course materials, post their assignments, get feedback, and interact beyond time, place, and location without any restrictions.
Online problem-based learning and 3D digital books to improve pre-service teachers’ scientific literacy
Authors: Sunarti Titin , Suprapto Nadi , Prahani Binar Kurnia , Satriawan Muhammad , Rizki Iqbal Ainur
Published: July 2024

Scientific literacy skill is needed by pre-service physics teachers (PSPTs) since it involves mastering thinking and using scientific thinking in recognizing and addressing social issues. However, low scientific literacy for PSPTs is a problem that needs to be solved, resulting in effectively teaching science to their students. Therefore, to increase the scientific literacy of PSPTs, this study aims to develop an online problem-based learning assisted with digital books with 3D animation (OPBLA3DB). This study employs a quasi-experimental design for educational research with subject 72 PSPTs in one university in Indonesia. The data were collected using written tests, questionnaires, observation sheets, and validity sheets. The findings of this study demonstrate how highly valid and reliable the research tools developed are. The implementation results also show how practical learning is. This teaching model can improve PSPTs’ scientific literacy effectively, along with obtaining positive responses from them. This study implies that the OPBLA3DB model can be widely applied to enhance scientific literacy.
Educational management in improving the quality of teachers in senior high schools
Authors: Dacholfany Muhammad Ihsan , Suseno Nyoto , Syofyan Harlinda , Fadli Muhammad Rijal
Published: July 2024

Teachers play a crucial role in improving the quality of education, an essential aspect of national education development, which applies universally in various cultures and countries. As national education standards and needs increase, educational development becomes a necessity. This study seeks to investigate the enhancement of teacher quality dimensions to elevate national education standards, employing a case study approach with mixed methods. The sampling involved random selection from five senior high schools in Lampung, comprising 190 students and 10 teachers. Data collection was carried out through questionnaires, interviews, and document analysis. The analysis of questionnaire data utilized structural equation modeling (SEM) through Lisrel 8.50 assistance. The qualitative phase encompassed data reduction, presentation, conclusion drawing, and verification. Results indicate that the model fits well with a Satorra-Bentler scaled Chi-square value of 189.190, a p-value coefficient of 0.070 (>0.05), root mean square error of approximation (RMSEA) of 0.030 (<0.080), and comparative fit index (CFI)≥0.90, suggesting its acceptability. The assessment of teachers’ professional management in enhancing education quality focuses on preparation, implementation, and evaluation, offering significant potential for improving senior high school teachers’ quality.
Synchronous and asynchronous online learning in university English language classrooms: findings from Indonesia
Authors: Rido Akhyar , Kuswoyo Heri , Mandasari Berlinda , Prakoso Bagus Hary , Purba Mariati , Siswanto Heni Waluyo
Published: July 2024

English has a significant role in the education and economic sectors. However, learning English has been challenging for students, especially when the implementation of online learning has significantly increased. This research aimed to reveal the reality of English online learning in an Indonesian university, focusing on synchronous and asynchronous technological applications used and challenges faced by students. By employing a qualitative approach, data were collected by observing five English language skills subjects as well as interviewing thirteen volunteered students. The findings revealed that Zoom and Google Meet were used in synchronous online English language classrooms mainly for lectures, discussions, and presentations. Meanwhile, Spada, the university YouTube channel, and the university online portal were used asynchronously for assignments, projects, information updates, peer corrections, forums, and learning materials. Some challenges in synchronous online learning included unstable internet connection, expensive internet data, incompatible gadgets, and low self-confidence. Meanwhile, in asynchronous online learning, some challenges included difficulties in comprehending learning materials, overloaded assignments, and lack of personal time commitment. This research suggested teachers and relevant stakeholders incorporate balanced synchronous and asynchronous online learning in their English language classrooms, improve infrastructure and technology for online learning, and prepare students for the challenges of tomorrow.
The cognitive outcome in athletics among physical education teachers
Authors: Ismaiel Ismaiel Ghasab , Oudat Mo'een Ahmad , Thiyabat Mohammad Khalaf , Alsdokhi Khaled Abdullah
Published: July 2024

The study aimed to identify the cognitive outcome in athletics for physical education teachers. The descriptive survey method was used and a cognitive test was applied as a measurement tool for data collection, which included 45 items for the fields of study: running, jumping, and throwing, and the study sample consisted of 198 teachers from Irbid First Directorate of Education in the first academic semester 2022/2023. The results showed that the level of the cognitive outcome in athletics for physical education teachers was "average" and that there were no statistically significant differences (α≤0.05) due to the effect of gender in all fields and all total scores, and the results of the study showed that there are significant differences Statistics in favor of more than 10 years experience.
Building detection based on searching of the optimal kernel shapes pruning method on Res2-Unet
Authors: Arul Reji Arulappan Amala , Muruganantham Sathiyamoorthy
Published: July 2024

In recent years, advances in remote sensing technology have made it feasible to use satellite data for large-scale building detection. Moreover, the building detection from multispectral satellite photography data is necessary; however, it is difficult to recovery the accurate building footprint from the high-resolution pictures. Because the deep learning networks contains high computational cost and over-parameterized. Therefore, network pruning has been used to reduce the storage and computations of convolutional neural network (CNN) models. In this article, we proposed the pruning technique to prune the CNN network from Res2-Unet model for accurately detecting the buildings. Initially, the CNN network is pruned by utilizing the searching of the optimal kernel shapes technique. It is employed to carry out stripe-wise pruning and automatically find the ideal kernel shapes. Then the data quantification is applied to enhance the proposed model and also reduce the complexity. Finally, the enhanced Res2-Unet model is used for the building detection. Moreover, WHU East Asia Satellite and the Massachusetts building dataset are the two available datasets used to access the suggested framework. Compare to the existing models, the proposed model gives better performance.
Autism detection based on autism spectrum quotient using weighted average ensemble method
Authors: Lawysen Lawysen , Anggara Nelsen , Girsang Abba Suganda
Published: July 2024

Autism spectrum disorder (ASD) is a condition that occurs in an individual, wherein it is accompanied by various symptoms such as difficulties in socializing with others. Early detection of ASD patients can assist in preventing various symptoms caused by ASD. The focus of this research is to automate the diagnosis of ASD in an individual based on the results of the autism spectrum quotient (AQ) using weighted average ensemble method. Initially, preprocessing is carried out on the dataset to ensure optimal performance of the resulting model. In the preprocessing step, the filling of missing values and feature selection occurs, where the feature selection method being utilized is p-value. The model in this research uses the weighted average ensemble method, which is the model that combines three machine learning classification algorithms. Eight classification algorithms are tested to identify the three algorithms with the best performance, namely gaussian Naïve Bayes (NB), logistic regression (LR), and random forest (RF). Following the testing, the model constructed using the weighted average ensemble method exhibits the highest performance compared to the model built using a single classification algorithm. The performance matrix used to measure the model’s performance is area under the curve (AUC)/receiver operating characteristic (ROC), with the developed model achieving an AUC/ROC value of 0.912.