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29,939 Article Results

A needs analysis on challenges in English expository writing among English as a second language learners

10.11591/ijere.v14i1.29906
Noorfatin Zakaria , Nur Ainil Sulaiman
Effective communication in English, particularly in writing, is becoming increasingly important globally. Despite being exposed to all four language skills, English as a second language (ESL) learners regularly perceive writing to be the most difficult element. This stance is held by both the English education system and ESL students in Malaysia, highlighting the importance of writing as an important language skill that is difficult to acquire. With expository writing is seen to be the least researched genre, this research seeks to fill this gap by examining the challenges ESL learners face in writing expository essays to provide potential classroom solution to improve their writing skill in this genre. A questionnaire was administered to 68 Form Four ESL learners as part of this study to gather essential data. The collected data underwent analysis using descriptive statistics with the statistical package for the social sciences (SPSS Ver. 27). The results were then presented in frequencies, percentages and the overall mean score. The findings revealed that respondents are still struggling with content development and organization as well as the writing process. Therefore, adding more interactive and student-centered learning approaches to ESL writing lessons could help students’ writing skills.
Volume: 14
Issue: 1
Page: 720-730
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

Personality types persistency, occupational consistency, and occupational satisfaction of graduates

10.11591/ijere.v14i1.31471
Ann Gathigia Waruita , Ciriaka Muriithi Gitonga , Edwin Benson Atitwa
Personality type affects career path and can determine an individual’s job satisfaction or dissatisfaction after graduation. In Kenya, high graduate unemployment has forced many to seek jobs unrelated to their qualifications or personalities. The purpose of the current study was to examine persistency of Holland’s personality types, mediating effect of consistency of career choices, and the degree of occupational satisfaction, informed by Holland’s theory. Longitudinal cohort research design was adopted, to access participants involved in a study conducted in 2012, from which 76 participants were accessed and provided required data. Data was collected using Holland’s self-directed search 4th edition questionnaire and an interview schedule. Spearman’s rank correlation was used to determine correlation between persistency of personality types and occupational satisfaction. Logistic regression was used to check the mediating effects of consistency on the relationship between personality types and occupational satisfaction. Results of the study indicate that there was a positive significant relationship between persistency of personality types and occupational satisfaction at p<0.05; mediating effect of consistency on the relationship between personality types and occupational satisfaction was statistically significant at (β=0.254, p<0.05). This study highlights the importance of persistency of personality types and consistency of career choices in ensuring occupational satisfaction.
Volume: 14
Issue: 1
Page: 319-331
Publish at: 2025-02-01

Cognitive restructuring as a panacea for maladaptive behaviors among primary school children

10.11591/ijere.v14i1.29393
Nonso Ngozika Bisong , Blessing Agbo Ntamu , Veronica Akwenabuaye Undelikwo
This study investigated the efficacy of cognitive restructuring as a panacea for maladaptive behaviors among primary school children in Calabar Municipal, Cross River State, Nigeria. The study was a quasi-experimental study using a pre-test-post-test experimental design. Data were collected from pupils in primary four. Data was collected over twelve weeks. The mean and standard deviation of the pre-and post-test scores were calculated and analysis of covariance (ANCOVA) was used to determine the differences in the two scores. There were 39 students recruited for the study. The study found that maladaptive behaviors such as aggression and disobedience were pervasive among primary school pupils in Calabar. Notably, the findings indicated that cognitive restructuring had a statistically significant impact on reducing aggressive behavior, though its influence on disobedient behavior was not as pronounced. The paper concluded that cognitive restructuring is an effective intervention strategy for addressing maladaptive behaviors among primary school pupils. The intervention achieved its intended goal of improving children’s behavior and provided a framework for more sustainable behavior management strategies.
Volume: 14
Issue: 1
Page: 398-405
Publish at: 2025-02-01

Exploring teacher perceptions, commitment, and beliefs in STEM education: a systematic literature review analysis

10.11591/ijere.v14i1.30608
Sariati Talib , Bity Salwana Alias , Mohd Effendi Ewan Mohd Matore
In recent times, science, technology, engineering and mathematics (STEM) education has gained interest in preparing students to face the challenges of the modern world. STEM fields are important for nurturing and shaping a wide range of skills in society. Therefore, to ensure students acquire the necessary skills and knowledge, STEM education has become a priority in education systems around the world, with teachers playing an important role in ensuring the success of STEM education. Therefore, teachers’ perceptions, commitments and beliefs need to be explored to gain understanding, needs and challenges for teachers to implement STEM education. This study analyzed past research findings through the systematic literature review (SLR) method with the findings of 28 articles. The findings of this past study reveal the challenges, and opportunities faced by educators through their perceptions, commitments, and beliefs in STEM education for the actions of policymakers and school leaders.
Volume: 14
Issue: 1
Page: 442-451
Publish at: 2025-02-01

GeneXPress card: development and evaluation of educational card game for DNA transcription subtopics in genetics

10.11591/ijere.v14i1.30741
Nurfarizah Amani Norizan , Adibah Abu Bakar , Syazwan Saidin
Understanding deoxyribonucleic acid (DNA) transcription poses a substantial challenge in studying genetics, often due to lack of understanding and traditional teaching methods that fail to engage students. This study introduces GeneXPress, an innovative card game, aimed at enhancing the learning experience of DNA transcription for higher education biology students. Using the ADDIE model, this preliminary study assessed the usability of the GeneXPress card game through a survey of 169 biology education students at Universiti Pendidikan Sultan Idris, Malaysia. A quantitative approach was employed to analyze the survey data, evaluating the game’s usability using descriptive statistics, including mean scores and standard deviations. The findings reveal high usability and positive views of GeneXPress, covering various aspects such as goals, design, components and organization, playability and usefulness, with average scores of above 3.79. The positive perception of GeneXPress among students highlights its ability to engage and motivate learners, making the study of complex genetic concepts more accessible and enjoyable. In conclusion, it underscores the vital role of innovative teaching aids in enhancing student engagement and understanding, paving the way for future explorations into educational tools that cater to the evolving needs of learners and educators alike.
Volume: 14
Issue: 1
Page: 482-491
Publish at: 2025-02-01

Measuring Vietnamese-speaking English as a foreign language students’ socio-emotional skills

10.11591/ijere.v14i1.30099
Do Minh Hung , Le Thanh Nguyet Anh , Vo Phan Thu Ngan , Pham Van Tac , Bui Thanh Tinh
Socio-emotional skills are crucial in learning processes and academic performances, but research in this field among college students, especially among Vietnamese-speaking students majoring in English as a foreign language (EFL) is still rare. Thus, the study attempts to fill this gap. As the first necessary part of a larger research project, the present study measured the target population’s socio-emotional skills via a 30-item questionnaire scale made up of two core components (the self and the others) embracing five subcomponents (self-awareness, self-regulation, self-utilization, empathy, and social skills). The sample group of 615 EFL majors from a university in Vietnam was surveyed. Statistic survey results show that the group appeared to reach a high level of socio-emotional skills in general. In addition, there was no significant gap between two core components, but five subcomponents stood out in a descending magnitude line of self-awareness>self-utilization, empathy>social skills>self-regulation. These significant findings provide constructive guidance needed for our research team to project instructional action plans in the subsequent phases. It also provokes further research on similar strands within Vietnam and beyond.
Volume: 14
Issue: 1
Page: 739-748
Publish at: 2025-02-01

Factors that contribute to the sustainability of graduate education in Malaysian research-based universities

10.11591/ijere.v14i1.28023
Mohd Fathi Sariman , Zaidatun Tasir , Noor Hazarina Hashim
Today, research is a crucial agenda of universities, and graduate education plays an important role in producing research, publications, and innovation. Thus, the quality of graduate education among Malaysian research universities must be enhanced by exploring the factors that contribute to the sustainability of graduate education. This is done systematically based on relevant literatures and experts’ opinions in graduate education. Therefore, the objective of this study is to identify factors that contribute to the sustainability of graduate education among Malaysian research-based universities (RUs). Findings demonstrate that the factors are governance of graduate education, quality of supervision, quality of programs, quality of students, research facilities, research ecosystem, and financial assistance.
Volume: 14
Issue: 1
Page: 17-27
Publish at: 2025-02-01

Development of a teacher competency model in game-based learning: a need analysis

10.11591/ijere.v14i1.31831
Jinchuan Jiang , Azidah Abu Ziden
This paper conducts a need analysis study to identify the requirements for developing a competency model for teachers implementing game-based learning (GBL) in Chinese secondary schools. Additionally, it investigates the practices and challenges of teachers while implementing this pedagogical approach. Through a quantitative survey involving 384 teachers, key findings reveal significant challenges, such as technological issues, limited instructional time, a lack of high-quality games aligned with the curriculum, and inadequate teacher training. The majority of teachers expressed a positive attitude towards game-based learning but reported limited classroom usage due to these obstacles. The results highlight the need for the development of a competency model tailored to game-based learning teachers, emphasizing the importance of structured training opportunities. Such a model would provide essential guidance and support, enabling teachers to enhance their competencies and effectively integrate game-based learning into their teaching practices. Consequently, the next step of this research is to design and develop a comprehensive competency model that encompasses both technological and pedagogical skills, which will aim to enhance teacher preparedness and improve the integration of game-based learning in education, ultimately benefiting student engagement and learning outcomes.
Volume: 14
Issue: 1
Page: 621-628
Publish at: 2025-02-01

Communication competence model: how to train ability to say what you really mean

10.11591/ijere.v14i1.29806
Nataliia Glushanytsia , Tetyana Tarnavska , Nadiia Chernukha , Zoriana Krupnyk , Dmytro Kostenko
Business is becoming increasingly multinational. Non-native language communication is a background activity for many jobs and a challenge for those whose first language is not English. The problem is that a non-native language activity distracts attention, increases the risk of misunderstanding, and reduces the effectiveness of professional communication. The article aims to present a Foreign Language Communicative Competence model that is a way to solve the problem and enables fluent, errorless communication that supports professional activity. The main question of the research is what learning conditions, methods and strategies, approaches, and technologies provide the development of foreign language communication competence. We used questionnaires, interviews, psychological diagnostic techniques, observations, and a pedagogical experiment in the research. The pedagogical experiments occurred at the National Aviation University in the 2021 to 2022 academic year. Two groups of second-year students majoring in “Aviation Maintenance” were involved. The experiment outcomes show the enhanced level of students’ foreign language communication competence, motivation, and engagement in learning. The developed model contributes to the ability to concentrate on the job and make quick decisions under the influence of psychological factors like time pressure, stress, or noise while speaking a foreign language.
Volume: 14
Issue: 1
Page: 708-719
Publish at: 2025-02-01

The effects of design-based art activities on students’ spatial thinking skills

10.11591/ijere.v14i1.30911
Sehran Dilmaç , Oğuz Dilmaç
This study was conducted to determine the effects of design-based learning (DBL) on students’ spatial thinking skills in architectural design education. Spatial thinking skills are of great importance in the architectural design process for architecture students to perceive and comprehend both the surrounding architectural spaces and the architectural product they design from different dimensions and perspectives. In order to gain this skill, DBL approaches based on a cooperative learning approach, which allow students to actively participate in the learning process, were applied. It was tested whether the DBL approach would increase students’ spatial thinking skills and develop skills, such as visual structuring skills, creativity, multidimensional and abstract thinking skills, imagination, problem solving, and multi-function execution. The research model is a pre-test-post-test control group quasi-experimental design. Data were obtained using the spatial thinking skills test. Based on the findings obtained as a result of the research, it was determined that the DBL approach applied in the color and texture course was effective on the spatial thinking skills of 2nd-year architecture students.
Volume: 14
Issue: 1
Page: 260-268
Publish at: 2025-02-01

Automatic diabetes prediction with explainable machine learning techniques

10.11591/ijai.v14.i1.pp408-415
Adiba Haque , Sanjida Islam , Nusrat Rahim Mim , Sabrina Mannan Meem , Ananya Saha , Riasat Khan
Diabetes is a metabolic disorder caused by various genetic, physiological and behavioral factors. It occurs due to an imbalance in the body’s insulin processing, which results in elevated blood sugar levels. Its early diagnosis can alleviate the risk of other deadly diseases. The onset and accurate detection of diabetes can decrease the progression of different complications and dysfunction of tissues. The principal objective of this article is to utilize machine learning approaches to predict the existence of diabetes in female patients at a primary stage. Multiple machine learning, including ensemble classifiers with the Pima Indian dataset and a private dataset obtained from a local Bangladeshi hospital, are used in this work. We employed feature scaling, synthetic oversampling technique (SMOTE), and hyperparameter optimization with GridSearchCV to get the best performance from different machine learning algorithms. The support vector machine (SVM) with the SMOTE framework and default hyperparameters achieved the accuracy and F1 score of 87% and 91%, respectively. The accuracy and F1 score of the SVM model improved to 95% and 91%, respectively, with hyperparameter optimization. Finally, explainable artificial intelligence with the local interpretable model-agnostic explanations (LIME) is employed to illustrate the predictability of the SVM technique.
Volume: 14
Issue: 1
Page: 408-415
Publish at: 2025-02-01

Integrating ethnoscience in inquiry-creative learning: a new breakthrough in enhancing critical thinking

10.11591/ijere.v14i1.29259
Ahmad Harjono , Ni Nyoman Sri Putu Verawati , Wahyudi Wahyudi , Syifa'ul Gummah , Saiful Prayogi
Incorporating knowledge of culture and local wisdom values (ethnosciences) into scientific investigation is a new breakthrough in the current study. The integration of ethnosciences and scientific investigation is a valuable pathway that serves not only as a tool for acquiring new knowledge but also for developing critical thinking (CT) skills essential in solving real-world problems. This research aims to enhance CT skills among prospective science teachers (PSTs) through a teaching program that integrates ethnosciences with inquiry-creative learning. This particular investigation employs a mixed method approach, combining both quantitative and qualitative methods. The quantitative study utilized a randomized pretest-posttest control group design, with traditional expository teaching employed as the comparison group. Qualitative methods were specifically used in this study through semi-structured interviews with lecturer, particularly regarding the PSTs’ engagement in the implementation of learning program. CT skill tests and interview forms were used as data collection instruments. The study findings reveal that integrating ethnosciences with inquiry-creative learning has a significant effect on the development of CT skills compared to traditional instruction. The findings highlight the effectiveness of this approach in improving CT skills among PSTs and contribute to future research in the field of science education.
Volume: 14
Issue: 1
Page: 636-647
Publish at: 2025-02-01

Evaluation of ChatGPT research in STEAM education

10.11591/ijere.v14i1.30423
Binar Kurnia Prahani , Khoirun Nisa’ , Suliyanah Suliyanah , Utama Alan Deta
Research focus of reviews trends and research on implementing ChatGPT in science, technology, engineering, arts, and math (STEAM) learning. It emphasizes the importance of deep learning and 21st-century skills in education, highlighting the limitations of ChatGPT in accuracy and credibility. The authors analyzed 204 STEAM education documents, revealing that 65% focused on technology education and less than 3% on art and mathematics education. The articles written in technology scope are the most widely circulated. The most productive region is the United States, which has three productive authors. The most productive authors are Ray (India) and Wang (Macao), who have the highest h-index. The United States and United Kingdom are the most productive affiliations. Many types of research on ChatGPT in STEAM education include a survey with several participants of different education levels. Social science is the most popular subject area. The Journal Nature is the primary source for this research. Several research highlighted artificial intelligence, ChatGPT, and human keywords. This study highlights the potential of ChatGPT in STEAM, suggesting further research on student behavior, learning designs, and credibility concerns. It suggests collaboration with Google Scholar or Web of Science data for in-depth analysis.
Volume: 14
Issue: 1
Page: 598-611
Publish at: 2025-02-01

Students’ metacognitive activities in contextual mathematical problem solving

10.11591/ijere.v14i1.28342
Yustinus Wangguway , Toto Nusantara , Sudirman Sudirman , Susiswo Susiswo
Metacognition is essential in supporting students’ academic success, problem-solving abilities, and overall achievement. Therefore, this study aimed to provide a detailed description of metacognitive activities of students when engaging in contextual mathematical problem-solving. The participants comprised 11th-grade students from SMA Negeri 3 Jayapura, Papua Province, Indonesia. Descriptive and qualitative methods were adopted, and the data were collected using various test instruments and interview guidelines. Subsequently, the data were analyzed through the phases of reduction, presentation, as well as conclusions, and triangulation methods were used to ensure robustness and reliability. The results showed that metacognitive awareness occurred when students considered previous knowledge and experiences in solving contextual mathematical problem. Metacognitive evaluation activities occurred when relevant methods and steps were assessed, while metacognitive regulation manifested when contemplating the actions required to solve problem. This showed that students used various metacognitive activities, namely awareness, evaluation, and regulation, to address contextual mathematical problem.
Volume: 14
Issue: 1
Page: 229-239
Publish at: 2025-02-01
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