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31,456 Article Results

Specifics of population psychodiagnostics on the example of Kazakhstan, China, and Japan: a comparative analysis

10.11591/ijere.v14i1.30363
Aigerim Mynbayeva , Mi Zhou , Gulsharat Minazheva , Zharas Seiitnur
This research aimed at analyzing the history of psychological testing in three Asian countries (Kazakhstan, China, and Japan) in a comparative chronological aspect. A modern trend of interest in population psychodiagnostics was examined, considering a sample of university professors from the studied countries. The study had two stages: theoretical (cross-cultural analysis of the chronological development of psychodiagnostics in three countries) and experimental (in-depth interviews with professors). The study population was 72 respondents. As a result, two periods of psychodiagnostics were distinguished in each country: prescientific and scientific. The general factors influencing the historical development of psychological testing were: i) country’s history and influence of wartime; ii) positive and negative influence of ideology (communist and capitalist) on the psychometrics’ development; iii) the history of psychology and testing in particular, its methodology and methods; iv) the emergence of regional trends in the cooperation and countries’ level of publicity. Consequently, based on the interview, the testing of career interests and individual career guidance significantly dominated in China (4.8) while in Japan it was testing of interpersonal relationships (4.9). The present study may be in demand in future research to develop specific questionnaires and methods for studying the population considering national and historical characteristics.
Volume: 14
Issue: 1
Page: 240-249
Publish at: 2025-02-01

Strategies for students’ well-being development: the task-oriented classroom approach

10.11591/ijere.v14i1.30158
Esa Nur Wahyuni , Ali Maksum , Rahmat Aziz , Retno Mangestuti
Promoting students’ well-being is a vital aspect of education. Creating a conducive classroom learning environment is essential, and task orientation plays a significant role. This paper aims to explore three research objectives related to the influence of the learning environment on student well-being by focusing on creating a task-oriented learning environment. The study employs a quantitative approach with a cross-sectional study design. The study analyzed 1,698 students (676 male and 994 female students) from nine cities in East Java, Indonesia. The results of the simultaneous regression analysis showed that R=.578, R2=.334, and p<.10. The learning environment was found to predict student well-being by 33.4% significantly. At the same time, task orientation was identified as the most dominant factor affecting student well-being. The study’s findings suggest that task orientation could be a solution to enhance student well-being in classroom learning practices. This study suggests the need for teacher development to improve teachers’ professional ability to facilitate learning in the classroom. Future research should consider using central variables, including moderating and intervening variables, to explore the relationship between the learning environment and student well-being.
Volume: 14
Issue: 1
Page: 535-543
Publish at: 2025-02-01

Authentic assessment activities for oral Malay language skills in primary schools

10.11591/ijere.v14i1.32079
Norliza Ramlan , Wan Muna Ruzanna Wan Mohammad , Zamri Mahamod
The quality of assessment conducted by teachers plays an important role in ensuring students’ mastery of Malay language skills, particularly oral skills. Assessment through direct activities can highlight students’ true potential and skills. Therefore, this study aims to explore the forms of authentic assessment activities for Malay language oral skills in primary schools in Malaysia. The study design is qualitative, using a case study method involving one case across multiple locations. This study involves five Malay language teachers as study participants from five primary schools located in five different states in Malaysia. The research methods used include interviews, observations, and document analysis. The study findings were analyzed thematically using Nvivo14 software. The results of the study identified seven forms of authentic assessment activities implemented by Malay language teachers: role-playing, storytelling, stimulus materials, questioning, edutainment, presentations, and language games. Interview interpretations are supported by observation and document analysis results, which prove that teachers conduct various forms of authentic assessment activities as the best alternative assessments for evaluating primary school students’ Malay language oral skills. Authentic assessment focuses on engaging and realistic activities to facilitate teachers in directly observing students' language development and skills.
Volume: 14
Issue: 1
Page: 682-694
Publish at: 2025-02-01

Parallel rapidly exploring random tree method for unmanned aerial vehicles autopilot development using graphics processing unit processing

10.11591/ijai.v14.i1.pp712-723
Lesia Mochurad , Monika Davidekova , Stergios-Aristoteles Mitoulis
Autonomous air movement systems hold great potential for transforming various industries, making their development essential. Autopilot design involves advanced technologies like artificial intelligence, machine learning, and big data. This paper focuses on developing a parallel rapidly-exploring random tree (RRT) algorithm using compute unified device architecture (CUDA) technology for efficient processing on graphics processing units (GPUs). The study evaluates the algorithm's performance in automated trajectory planning for unmanned aerial vehicles (UAVs). Numerical experiments show that the parallel algorithm outperforms the sequential central processing unit (CPU)-based version, especially as task complexity and state space dimensions increase. In scenarios with numerous obstacles, the parallel algorithm maintains stable performance, making it well-suited for various applications. Comparisons with CPU-based methods highlight the advantages of GPU use, particularly in terms of speed and efficiency. Additionally, the performance of two GPU models, NVIDIA RTX 2070 and T4 is compared, with the T4 demonstrating superior performance for similar tasks. Future research should explore integrating multiple algorithms for a more comprehensive UAV autopilot system. The proposed approach stands out for its stability and practical applicability in real-world autopilot implementations.
Volume: 14
Issue: 1
Page: 712-723
Publish at: 2025-02-01

A systematic review of the changes, challenges, and implications of China’s teacher education policies (2012 to 2023)

10.11591/ijere.v14i1.29770
Huang Zhi , Latha Ravindran , Mansour Amini
Although China’s teacher education policies have achieved significant progress in improving teacher quality, they have also undergone substantial changes and encountered new challenges. It is necessary to systematically analyze policies from the past decade to achieve a prudent balance between the immediacy and foresight of policymaking. This systematic analysis paper examines China’s teacher education policies from 2012 to 2023, reviewing relevant policy documents from authoritative sources. The study reveals a strategic shift towards fostering comprehensive and innovative teacher talent, promoting professional development, and addressing urbanrural education disparities. Emphasis is placed on strengthening professional ethics and creating a societal atmosphere of respect for teachers. However, challenges arise, including the “de-normalization” of teacher education in higher education institutions, regional disparities in teacher resources, and issues in in-service teacher education. These findings have profound implications for the future of teacher education policies, both within China and globally. They underscore the need for ongoing policy review and adaptation, the importance of balance between research and teaching in teacher education programs, and the need for a more integrated and streamlined approach to in-service teacher education and professional development. The study provides insights for policy development in the field of teacher education.
Volume: 14
Issue: 1
Page: 207-221
Publish at: 2025-02-01

Unraveling social and economic problems: what basics of critical thinking skills are needed?

10.11591/ijere.v14i1.29180
Wiwik Sri Utami , Kusaeri Kusaeri , Ali Ridho , Ahmad Yusuf , Bambang Sigit Widodo , Hendri Prastiyono , Sri Murtini
Equipping knowledge and developing critical thinking skills about social and economic issues to students is important. This study aimed to analyze the ability of prospective students of Islamic State of Madrasah of Insan Cendekia (ISM-IC) to think critically about socioeconomic problems. This research reveals a critical thinking skills gap among prospective students of Madrasah Tsanawiyah/Islamic Junior High School (IJHS) and non-IJHS who participated in the national selection of new students (NSoNS). This study uses a cross-sectional survey approach with standard instruments from the NSoNS ISM-IC. Data was obtained from 1,832 participants in the social sciences group test, consisting of 1,197 people from IJHS and 635 from non-IJHS. Data analysis using R Programming, package ‘ggstatsplot’, and via Microsoft Excel. The result is: i) a gap in social studies scores between IJHS and non-IJHS students of -0.215, with the social studies scores of IJHS students lower than non-IJHS; ii) critical thinking skills are proven to have a very real impact on the occurrence of social studies score gaps, through the inability of students to answer the higher-order thinking skills (HOTs) category questions. This finding indicates the urgency of the education unit to provide nuanced literacy models and learning and HOTs to increase think of critic ability about socioeconomic matter.
Volume: 14
Issue: 1
Page: 566-574
Publish at: 2025-02-01

Factors affecting environmental ethics behavior of undergraduate students

10.11591/ijere.v14i1.28443
Junkaew Likhit , Wongchantra Prayoon , Ongon Suparat , Sookngam Kannika , Uraiwan Praimee
The research aimed to investigate the variables affecting undergraduate students’ environmental ethical conduct as well as the variables influencing the environmental ethical behavior of undergraduate students of various genders and academic years. In the topic of environmental education, year 1-4 pupils made up the research sample. A total of 231 people from Mahasarakham University’s Faculty of Environment and Resource Studies freely provided information. A survey was used as the research method to assess the variables influencing undergraduate students’ ethical conduct in the environment. Frequency, percentage, mean, standard deviation, and one-way ANOVA testing of hypotheses are the statistics used for the study. The factors affecting the undergraduate students’ overall environmental ethical behavior were found to be at the highest level, equal to 4.04. After examining each item, it was found that serving the public and keeping promises was equal to 4.86, followed by upholding universal ideals (¯x=4.22), a factor that involves avoiding punishment. fear of criminal and disciplinary penalty (¯x=4.11), conformity factor (¯x=4.02), reward-seeking factor (¯x=3.97), social responsibility compliance factor (¯x=3.74), and personal qualities (¯x=3.41) were the factors that had the smallest effect on the student’s environmental ethical behavior, in that order. At the 05 levels, several factors influenced learners of different genders’ environmental ethical behavior, and various factors affected the environmental.
Volume: 14
Issue: 1
Page: 557-565
Publish at: 2025-02-01

Perceive social support, academic self-efficacy, and learning engagement among high school students in China

10.11591/ijere.v14i1.31029
Liu Yang , Lim Hooi Lian
The aim of this study was to analyze the mediating role of academic self-efficacy in the relationship between perceive social support and learning engagement among Chinese senior high school students. A quantitative research method was adopted, and 572 Chinese senior high school students from Inner Mongolia Autonomous Region in China completed three self-report questionnaires. Correlation analysis revealed that senior high school students perceive social support, academic self-efficacy, and learning engagement were significantly correlated with each other. In addition, structural equation modeling analysis showed that perceive social support exerted its indirect effect on learning engagement through the mediation of academic self-efficacy. These findings have practical implication for government policymakers, education administrators, teachers, students, and parents, informing evidence-based policies, interventions, and strategies to enhance learning engagement and academic success.
Volume: 14
Issue: 1
Page: 629-635
Publish at: 2025-02-01

Development and validation of Indonesian youth career identity scale: the Rasch analysis

10.11591/ijere.v14i1.29802
Agungbudiprabowo Agungbudiprabowo , Edi Purwanta , Muhammad Nur Wangid
Career identity is one of the most important psychosocial developmental tasks for adolescents. The development of career identity in adolescence will prevent humans from experiencing identity confusion which will have an impact on further developmental tasks. This research answers the need for this measurement tool by developing and validating a career identity measurement tool called the Indonesian youth career identity scale (IYCIS). This instrument consists of 55 items in two aspects: career exploration and commitment. This study uses Rasch analysis to test the validity of the IYCIS construct. The construct validity test involved 200 high school students in Yogyakarta, Indonesia. Data analysis using Winstep software provides information about the quality of respondents and instruments, items that are easy and difficult for respondents to agree on, items that are made to order, and unidimensional. The results of applying the Rasch analysis show that IYCIS is good, precise, and has an item fit with the model. IYCIS is a reliable and valid measurement tool for accurately measuring the level of student career identity. This study discusses the implications and recommendations for further research on the implementation of guidance and counseling that contains career identity as a follow-up to IYCIS performance.
Volume: 14
Issue: 1
Page: 415-422
Publish at: 2025-02-01

Microarray gene expression classification: dwarf mongoose optimization with deep learning

10.11591/ijai.v14.i1.pp213-221
Shyamala Gowri Balaraman , Anu H. Nair , Sanal Kumar
The deoxyribonucleic acid (DNA) microarray model holds significant promise for revealing expression data from thousands of genes. It serves as a valuable tool for investigating gene expressions in diverse biological research fields. This study explores advancements in gene selection for cancer detection through artificial intelligence, with a focus on the challenge of extracting pertinent information from vast databases. The application of deep learning architecture in detecting chronic diseases and aiding medical decision-making has proven effective across various domains. Therefore, this study designs an enhanced microarray gene expression classification by utilizing a dwarf mongoose optimization with deep learning (MGEXC-DMODL) approach. The MGEXC-DMODL approach intends to classify the microarray gene expression (MGE). For this, the MGEXC-DMODL technique initially applies the wiener filtering (WF) technique to eradicate the noise. In addition, the MGEXC-DMODL technique employs a deep residual shrinkage network (DRSN) to learn feature vectors. Meanwhile, the convolutional autoencoder (CAE) model was executed for identifying and classifying the MGE data. Furthermore, the dwarf mongoose optimization (DMO)-based hyperparameter tuning is performed to enhance the detection outcomes of the CAE model. The investigational evaluation of the MGEXC-DMODL model is validated using a benchmark database. The comprehensive comparison outcome highlighted the betterment of the MGEXC-DMODL model over recent approaches. 
Volume: 14
Issue: 1
Page: 213-221
Publish at: 2025-02-01

The mediating effect of study habits between parental involvement and algebraic problem-solving achievement

10.11591/ijere.v14i1.29941
Imdad Ali , Samiran Das
Algebra is the major branch of mathematics that deals with numbers, and symbols are mostly used in problem-solving. Students often struggle to learn mathematics due to the difficulties of solving algebraic problems at the secondary level. Several factors affect student problem-solving achievement (PSA). The present study aims to examine the mediating effect of study habits (SH) in the relationship between parental involvement (PI) and algebraic PSA. For this purpose, a study habits scale and a parental involvement scale are used, and a problem-solving test is done for algebraic problem-solving. In this correlational study, Baron and Kenny’s series of regression models is used to test the mediating effect of SH. The findings revealed that that PI, SH and algebraic PSA are positively correlated. Also, it is confirmed that SH mediates the relationship between PI and algebraic PSA because there is no longer any significant effect of PI on PSA after SH is included in the model. It is recommended that students’ problem-solving skills be developed through their better study habits. Increasing parental support may promote students better SH, which in turn better achievement in problem-solving. Parents and teachers should monitor and encourage students’ study habits for better performance in problem-solving and mathematics as a whole.
Volume: 14
Issue: 1
Page: 583-588
Publish at: 2025-02-01

Intellectual mapping of the sign language role in deaf education: forecasting future reforms

10.11591/ijere.v14i1.28265
Rona Almos , Alies Poetri Lintangsari , Herry Nur Hidayat
Over the five decades, debatable approaches on deaf education are tangled in the issues of oralism and manualism. The later has valued sign language as the significant factor in the effort of providing quality deaf education. This research aims at mapping the intellectual reports on sign language position in deaf education from 1972 until 2023 including 1,000 documents from Web of Science database. This research use VOS Viewer by implementing co-citation analysis, bibliographic coupling and co-occurrence analysis to see the development of the research, the network and the emerging topical focus. The results suggest that sign language plays the pivotal role in deaf education that predict the future reforms of education for the deaf in form of bilingual education and technology integration. Other significances related to the top discussed themes, the leading authors, the influential publishers are also discussed to seek the interweaving connection among the subemergent research foci.
Volume: 14
Issue: 1
Page: 146-156
Publish at: 2025-02-01

Performance analysis of a neuromodel for breast histopathology decision support system

10.11591/ijai.v14.i1.pp102-108
Adedayo Olukayode Ojo , Adetoro Mayowa Sola , Florence Omolara Ojo , Moses Onibonoje Oluwafemi
Breast cancer detection and diagnosis are crucial in reducing mortality rates among women globally. This research article explores an artificial intelligence technique for early breast cancer detection, aiding doctors in making informed decisions for improved patient management. The study employs histopathological analysis of breast tissue microscopically to detect abnormalities, with the aim of categorizing normal tissue, benign lesions, in situ carcinoma, and invasive carcinoma. The proposed technique utilizes an artificial neural network trained using the resilient backpropagation algorithm (RP_ANN). The study further compares the observed performance with those of three other algorithms, including gradient descent algorithm (GDA_ANN), Levenberg-Marquardt algorithm (LM_ANN), and layer sensitivity-based (LSB_ANN) algorithm based on various evaluation metrics. RP_ANN and LSB_ANN demonstrated superior performance, with high validation and training variance accounted for (VAF) and low root mean squared error (RMSE). The results underscore the potential of deep learning-based algorithms for improving breast cancer detection, promising better patient outcomes and enhanced diagnostic accuracy.
Volume: 14
Issue: 1
Page: 102-108
Publish at: 2025-02-01

Modeling blockchain technology in assessment management: the initial readiness investigation

10.11591/ijere.v14i1.28416
Joharri Shuhaimi , Hapini Awang , Abdulrazak F. Shahatha Al-Mashhadani , Mohd Fairuz Jafar , Nur Suhaili Mansor
The implementation of the school-based assessment (SBA) came with a system as part of the effort to reduce the workload of teachers in managing the SBA. However, a traditional system is costly and heavily centralized, frequently leading to impediments, delays, irregularities and may even create opportunities for dishonest activities. To enhance the existing traditional system, integrating emerging blockchain technology (BC) is proposed. Given the challenges, complaints, and rejection faced by traditional assessment management systems, this paper presents a conceptual framework based on the technology acceptance model (TAM) and diffusion of innovation (DOI) to examine pre-university teachers’ perception of implementation and readiness to adopt BC-based project paper management (BPPM) which is subsequently verified through a qualitative study. This study employs a process that consists of three main steps: a thorough review of existing literature, thematic analysis, and the process of gathering and determining readiness factors. Teachers’ perspectives were successfully gathered from 59 pre-university teachers by posting semi-structured questions in a Telegram group of Malaysian pre-university teachers. The study found that most pre-university teachers support the BPPM implementation with the condition that the system can address two primary concerns: server scalability and confidentiality issues. The effectiveness of BPPM implementation depends on its capacity to meet user needs and expectations while delivering clear benefits, along with superiority compared with existing systems.
Volume: 14
Issue: 1
Page: 389-397
Publish at: 2025-02-01

Kazakhstan’s universities: global challenges and local duties improving education quality

10.11591/ijere.v14i1.31852
Saniya Nurgaliyeva , Saule Zeinolla , Assel Aben , Saule Iskendirova , Gulnara Ismukhanova
Over the years of independence, Kazakhstan has developed a higher education (HE) system that incorporates both national characteristics and international standards. However, the system still struggles to meet new challenges, and its scale, while comparable to global standards, does not yet reflect the growing requirements for quality education essential for ensuring competitiveness. The study aims to evaluate the extent of variability in Kazakhstan’s policies as they navigate between global challenges and local objectives in the pursuit of higher education quality. A quantitative method was utilized to collect and analyze the study data to identify relationships, test hypotheses, and draw generalizations. The study sample consists of a total of 1,200 educators from various universities. The study findings revealed that Kazakhstan is rapidly advancing to the third stage of HE internationalization, striking a balance between importing and aspiring to export HE. This study is important as it provides valuable insights into how Kazakhstan’s modern universities can effectively manage the intersection of global challenges and regional obligations to enhance the quality of HE.
Volume: 14
Issue: 1
Page: 768-776
Publish at: 2025-02-01
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