Effective Learning Method Research Articles

HAMKA'S AND ZA'ABA'S EDUCATIONAL INSIGHTS: A COMPARATIVE STUDY

This research paper examines the educational thoughts of two prominent Malay-Muslim scholars, Za'ba (Zainal Abidin Ahmad) (d. 1973) and Hamka (Haji Abdul Malik Karim Amrullah) (d. 1981), in the context of their contributions to education and society. Despite sharing a common era, Za'ba and Hamka had distinct views on education, influenced by their beliefs in the synthesis of modern knowledge and Islamic values. Therefore, this paper seeks to explore the similarities and differences in their concept of education. The authors implemented library research with content analysis and comparative studies based on the works of the aforementioned scholars. Hamka’s concept of education is based on his selected works namely Falsafah Hidup, Lembaga Budi and Lembaga Hidup. While for Za’ba, his thoughts are studied based on his work Jalan Keselamatan bagi Orang-Orang Melayu, Kemiskinan Melayu and other related writings of the discourse on Za’ba’s thought. The concept of education according to Hamka and Za’ba puts a strong emphasis on the significance of comprehensive knowledge that combines the perfection of intellectual, physical, and spiritual aspects of a man. Hamka’s emphasis of education is on shaping characters to produce a man who is capable of contributing to society. While Za’ba emphasis on education for the Malays. This paper delves into their perspectives, emphasizing their stances on the integration of Western education and Islamic teachings, their views on effective teaching and learning methods, important elements in education, and their approaches to curriculum development.

문제중심학습 기반 임상실무중심의 간호시뮬레이션 교육이 간호대학생의 비판적 사고, 문제해결과정, 간호지식, 간호업무수행 자신감에 미치는 효과

Objectives This study was conducted to verify the differences in critical thinking, problem-solving process, knowledge, and confidence in nursing performance of nursing students before and after the education program by applying problem-based learning based on clinical practice-based nursing simulation education, and to identify the relationship. Methods The participants were 73 nursing students at D University in S City. Problem-based learning based on clinical practice-based nursing simulation education was conducted for a total of 8 hours for 4 weeks, and data collection was from March 2 to April 22, 2022. It was a single-group before/after design experimental study, and data analysis was performed using SPSS 26.0 program using descriptive statistics, Kolmogorov-Smirnov, paired t-test, and Pearson's Correlation Coefficients. Results There were statistically significant difference in problem-solving process (t=-5.15, p〈.001), knowledge ((t=-4.94, p〈.001), and confidence in nursing performance (t=-12.39, p〈.001) before and after problem-Based Learning based on clinical practice-based nursing simulation education. On the other hand, critical thinking scores improved, but there was no significant difference (t=-.72, p=.472). In addition, critical thinking and problem-solving processes (r=.66, p=<.001) and confidence in nursing performance were significantly positive correlated with critical thinking (r=.33, p=.004) and problem-solving processes (r=.32, p=.005). Conclusions Problem-based learning based on clinical practice-based nursing simulation education has been confirmed to be an effective teaching and learning method that helps nursing students' problem-solving process, knowledge, and confidence in nursing performance. Through the results of this study, it can be used as evidence for systematic lesson design in problem-based learning based on clinical practice-based nursing simulation education.

Qualitative and Quantitative Analysis of Volatile Molecular Biomarkers in Breath Using THz-IR Spectroscopy and Machine Learning

Exhaled air contains volatile molecular compounds of endogenous origin, being products of current metabolic pathways. It can be used for medical express diagnostics through control of these compounds in the patient’s breath using molecular absorption spectroscopy. The fundamental problem in this field is that the composition of exhaled air or other gas mixtures of natural origin is unknown, and content analysis of such spectra by conventional iterative methods is unpredictable. Machine learning methods enable the establishment of latent dependencies in spectral data and the conducting of their qualitative and quantitative analysis. This review is devoted to the most effective machine learning methods of exhaled air sample absorption spectra qualitative and content analysis. The focus is on interpretable machine learning methods, which are important for reliable medical diagnosis. Also, the steps additional to the standard machine learning pipeline and important for medical decision support are discussed.

An Efficient Deep Learning Technique for Brain Abnormality Detection Using MRI

This research proposes an effective and reliable deep learning method for detecting brain abnormalities via magnetic resonance imaging (MRI). The technique consists of two primary stages: first, a binary classifier that divides pictures into "Brain" and "Non-Brain" categories; second, multi-class classifiers that explicitly recognise categories such pituitary adenomas, gliomas, and meningiomas. The labelled and preprocessed data were taken from a collection of 7,753 pictures provided by Qhills Technologies Pvt. Ltd. Additional data from the Brain Tumour MRI collection was also incorporated to improve the model's generalisation skills. VGG-16 outperforms the other machine learning models, with an accuracy rate of 96.4%, when compared to ANN, CNN, VGG-16, and AlexNet. A thorough model evaluation and hyperparameter tweaking process was conducted using the accuracy, precision, recall F1-score. The findings of this study point to the potential of deep learning techniques in identifying brain disorders fast and precisely, opening the door to more precise diagnosis in clinical settings.

STUDENTS' ATTITUDES TOWARDS THE USE OF ICT IN ENGLISH CLASS AT TERTIARY LEVEL

The use of ICT tools is frequently regarded as a beneficial and effective method for foreign language learning. In addition to providing tools which can help students improve their language skills, ICT can be used to motivate them and foster their interest and positive attitudes towards language learning. On the other hand, overwhelmed by a number of learning tools and apps available, as well as the multitasking required for such a learning experience, some students may find them distracting, which leads to a lower quality in the work produced. Despite the abundance of existing studies on the topic, very few have addressed the use of ICT at the tertiary level, and almost none have aimed at including students from two different countries in the Balkan region. Hence, the present study aims to explore the attitudes of university students at two tertiary institutions in Slovenia and Croatia towards the use of ICT in their language learning classrooms. The results were obtained using an online questionnaire and were further quantitatively analysed using descriptive statistics and a t-test for unpaired samples. According to the results, the vast majority of the students acknowledge the importance of ICT tools and highlight their usefulness in relation to learning English. However, a difference between the groups is observed in the frequency of usage and types of online tools used in their language learning process. Finally, the results of this study show that the integration of ICT in learning should be carefully and thoughtfully planned in advance. Although prevalent in language settings, ICT should not be seen as a sole replacement for face-to-face learning sessions, but as a necessary complement to English classes. Teachers should first consider the diverse comfort levels and technological proficiencies of students to ensure that ICT enhances, rather than hinders, the learning process. Keywords: language learning, English, ICT, students’ attitudes, tertiary level, Slovenia, Croatia

Teaching Technical Translation in the Digital Era: Challenges and Expectations

Abstract Several seminar studies explain the importance of technical translation today, as 90% of the global market of translations is represented by technical translations (Kingscott 2002:247). The need for research on this was also signalled by Romanian scholars like Daniel Dejica, Loredana Pungă, Georgiana Badea, and Titela Vîlceanu (Dejica et al. 2022), who showed that there are only a few Ph.D. theses which investigate this type of LSP translation in Romania. This article is part of an ongoing Ph.D. research whose aims are: to develop effective teaching and learning methods, to focus on the state-ofthe-art teaching of technical translation today, and to highlight future research directions.

Analisis Kemampuan Pemahaman dan Pemecahan Masalah pada Siswa Kelas VIII UPT SMP Negeri 27 Medan Terhadap Materi Bangun Datar dan Ruang

This study is a descriptive study with a qualitative approach that aims to analyze the errors made by students in solving mathematics problems, especially on flat and solid geometry materials using the Newman Theory approach. The subjects in this study were 30 seventh grade students at SMP Negeri 27 Medan. The method of collecting data or information was carried out through a written test of 3 (three) descriptive questions and interviews with selected subjects. The information obtained was then analyzed based on the Newman analysis procedure which is divided into 5 (five) stages of errors, namely reading, understanding, transformation, process skills, and writing answers. The results of the analysis showed that the most significant errors occurred at the transformation stage, with a percentage of 83.3%, categorized as very high. On the other hand, errors in process skills were classified as very low, namely 16.6%. This finding shows the importance of developing more effective learning methods to help students understand and solve mathematics problems, especially those related to geometric concepts.

The Influence of Singing Activities on Children's Language Ability in the Pembina Siak Kecil State Kindergarten

Singing activities at the Pembina Siak Kecil State Kindergarten are an effective learning method in improving the language skills of young children. Through various song lyrics, children not only introduce new vocabulary, but also learn to construct simple sentences. With pleasant melodies and themes that are relevant to everyday life, singing activities facilitate children to remember new words more easily. In addition, this activity also supports the development of grammar and sentence structure, as well as encouraging social interaction among children, improving their communication and collaboration skills. With the support of teachers and parents, children feel more confident in language and are able to communicate better. Singing activities also stimulate children's cognitive abilities and improve motor skills through movements that are integrated with singing. Repetition of songs in class provides an opportunity for children to internalize new vocabulary effectively. Teachers play an important role in choosing songs that are appropriate to the child's developmental stage, so that each child can learn according to their level of ability. Overall, singing activities at the Pembina Siak Kecil State Kindergarten have a significant impact on children's language development, enrich vocabulary, and build a strong communication foundation for the future.

The Effect of Quizizz Media Usage on the Learning Interest of Grade Students in Biology

This study investigates the impact of Quizizz media on students' interest in Biology at SMA Negeri 1 Parungpanjang, Bogor Regency. Employing a quantitative approach with a survey method, this study focused on 107 class XII students specializing in biology, selected through simple random sampling from a population of 146 students. Data collection was conducted using an online questionnaire, and an analysis was performed using simple regression to assess the influence of Quizizz media on student learning interest. The results revealed a significant effect of Quizizz media usage on students' learning interest. The coefficient of determination (R square) of 0.327 indicated that Quizizz media accounted for 32.7% of the variance in learning interest. The findings demonstrate that Quizizz media significantly enhances students' interest in biology. Game-based learning, which combines visual and verbal elements, shows promising potential as an effective learning method. Quizizz media have been shown to increase student engagement and learning interest, addressing various conventional learning challenges in the digital era. Based on these results, educators are encouraged to consider incorporating digital learning resources such as Quizizz to enhance students' motivation and interest in learning. This study contributes to the growing body of evidence supporting the integration of interactive technology-based tools in educational settings to improve student engagement and learning outcomes.

Students' Voices on Effective Teaching Methods for Grammar Learning in Peer Tutoring Program

This research investigated students’ perceptions of tutors’ teaching methods applied in one of grammar tutoring classes in an English Education study program at one of the universities in Yogyakarta. The students’ preferences on grammar teaching methods were also discovered. This research employed a quantitative approach. Fifty-seven students participated in this study and filled out the questionnaire. Their activities during tutoring program were observed. Then, the interview was used to gather further information. The result of the questionnaire revealed a mean score of four point twenty-nine. It showed that the participants of this study shared their positive perceptions of tutors’ teaching methods in grammar tutoring classes. They felt that the tutors were able to build a comfortable learning experience and motivate them to have a language exposure. Additionally, the students desired to learn grammar by using the audio-lingual method and communicative language teaching (CLT) method. This study implies the need for a well-prepared peer tutoring program to help students effectively. Additionally, the administrators can address individual learning differences and provide insights for improving grammar instructions.

고등학교 장애학생 대학생활체험 프로그램에 대한 예비과학교사의 서비스러닝 운영 사례

This paper presents a field research case applying service-learning pedagogy for a university life experience program targeted at high school students with disabilities, conducted at J University in 2022 and 2023. The study involved open-ended surveys and reflective journals from participating high school students, supervising teachers, guardians, and educational support staff (mentors in service-learning). The findings of the study are as follows. The educational satisfaction of students with disabilities who participated in the program was very high. Students were able to experience the possibilities of college admission and career exploration through major experiences, mentoring, and the support of service-learning mentors. The pre-service science teachers who participated as mentors had very high expectations for the program and were satisfied with the class operation. They reported learning new things while preparing to lead and teach students with disabilities, thereby developing core competencies such as sharing, caring, and a sense of community essential for future society. In particular, pre-service science teachers viewed this as a great opportunity to foster mutual benefit in service-learning classes, practical pedagogical content knowledge (PCK), and self-efficacy in their teaching profession. Participants expressed a desire for this program to be a long-term special program at the university, continuing beyond high school graduation as part of transition education for students with disabilities. Moreover, it was suggested that the role of educational support staff should extend beyond ensuring safety and care for students with disabilities to fostering mutual benefit and sustainable development. This study proposes that service-learning is an effective teaching and learning method with long-term benefits.

Design of Desktop-Based Student Learning Style and Personality Quiz Application with Microsoft Visual Basic Net 8.0

In education, learning style and personality play an important role because they influence how individuals perceive and absorb information. Educators can build more inclusive and successful learning environments by implementing strategies to accommodate a variety of learning styles and personalities. The learning style and personality quiz application was created with Microsoft Visual Basic 8.0. The purpose of this application is to find out the learning style and personality of students. By knowing their learning style and personality, students can understand themselves and make it easier to choose the learning method to use. The method used in designing this application is the waterfall method. The method begins with the analysis, design, coding, testing and maintenance stages. The learning style and personality quiz application has been tested on several students of the Information Technology and Computer Education Study Program, Medan State University for three weeks, the results show that the learning style and personality quiz application can help in selecting effective learning methods and understanding one's own character.

Teacher Strategy in Repetition on Students' Ability to Memorize Short Verses in Students at MIN 01 Rejang Lebong

Madrasah Ibtidaiyah Negeri (MIN) 01 Rejang Lebong is an Islamic educational institution that is committed to providing quality Islamic religious education to children. In an effort to improve children's ability to memorize short verses, the use of effective learning methods is the key to success. One of the methods that is often used in learning short verses of the Quran is the repetition method. The purpose of this study is to identify the methods that teachers employ in repetition to help students at MIN 01 Rejang Lebong become better at memorizing brief verses. Descriptive qualitative research methodology is employed. Data was gathered by means of linked document research, interviews, and observation. According to the study's findings, educators employ a range of tactics, such as using engaging instructional materials, a variety of teaching approaches, and suitable motivation and assessment systems. These results can help researchers and educators enhance the efficacy of instruction, particularly when it comes to helping pupils at MIN 01 Rejang Lebong memorize brief poems through repetition. The conclusion of this study is that teachers need to apply various strategies that include regular repetition, in the context of this repetition using the Jama' method, by using repetition can help students enter their memorization into long-term memory, so that their memorization is permanent.

Achieving High-Accuracy Target Recognition Using Few ISAR Images via Multi-Prototype Network with Attention Mechanism

Inverse synthetic aperture radar (ISAR) is a significant means of detection in space of non-cooperative targets, which means that the imaging geometry and associated parameters between the ISAR platform and the detection targets are unknown. In this way, a large number of ISAR images for high-accuracy target recognition are difficult to obtain. Recently, prototypical networks (PNs) have gained considerable attention as an effective method for few-shot learning. However, due to the specificity of the ISAR imaging mechanism, ISAR images often have unknown range and azimuth distortions, resulting in a poor imaging effect. Therefore, this condition poses a challenge for a PN to represent a class through a prototype. To address this issue, we use a multi-prototype network (MPN) with attention mechanism for ISAR image target recognition. The use of multiple prototypes eases the uncertainty associated with the fixed structure of a single prototype, enabling the capture of more comprehensive target information. Furthermore, to maximize the feature extraction capability of MPN for ISAR images, this method introduces the classical convolutional block attention module (CBAM) attentional mechanism, where CBAM generates attentional feature maps along channel and spatial dimensions to generate multiple robust prototypes. Experimental results demonstrate that this method outperforms state-of-the-art few-shot methods. In a four-class classification task, it achieved a target recognition accuracy of 95.08%, representing an improvement of 9.94–17.49% over several other few-shot approaches.

GIFF-AlgaeDet: An effective and lightweight deep learning method based on Global Information and Feature Fusion for microalgae detection

The identification and detection of microalgae are essential prerequisites for the development and utilization of microalgal resources. Traditional methods for the identification and detection of microalgae face the challenges of poor accuracy and time-consuming labor. Here is a method for microalgae identification and detection proposed in this paper, which utilizes Global Information and Feature Fusion (GIFF).Initially, to address the issue of low accuracy, the Coordinate Attention Group Shuffle Convolution (CAGS) is incorporated into the method to enhance the feature extraction capability. Furthermore, to address the issue of time-consuming labor, two small object detection heads for microalgae detection have been designed to effectively improve the training and detection speed. Additionally, the SCYLLA-IoU (SIoU) algorithm is employed to address the issue of unstable model convergence. To assess the efficacy of the method employed in this study, a dataset was intentionally created for the purpose of detecting microalgae. The experimental results indicate that, under the same experimental conditions, the proposed method has achieved significant improvements in terms of average precision, mAP@50, and mAP@95. Compared to the original method, it has increased by 3.1 %, 2 %, and 9.8 %, respectively. Moreover, this algorithm obtains a great improvement in detection speed and lightness, with a 29 % reduction in parameters and a single image detection time of 0.0219 s, which is significantly less than baseline. Location of the dataset and code: https://github.com/DjtuResearch/Microalgae_detection.

PORTRAIT OF STUDENTS' SCIENCE PROCESS SKILLS IN SCIENCE LEARNING AT ELEMENTARY SCHOOL 1 SUSUT

This study is motivated by the importance of understanding the extent to which students have science process skills, especially at the elementary school level, as one indicator of the effectiveness of science learning. The main problem studied in this study is the level of science process skills of fourth grade students at SDN 1 Susut. This study aims to find out in depth and quantitatively how these science process skills develop among 31 fourth grade students, and involves one fourth grade teacher who has an important role in the learning process. The research method includes the use of instruments in the form of questionnaires, interview guidelines, and documentation to collect relevant data. Each of these tools is very important to help in obtaining sources of information about science process skills. This data analysis method is carried out descriptively, and to measure the results of the student questionnaire, a Likert scale is used. The results of the study showed that based on the questionnaire data, the distribution of science process skills of grade IV students of SDN 1 Susut was as follows: 48.39% of students were included in the Very Good (SB) criteria, 38.71% in the Good (B) criteria, 9.67% in the Fairly Good (CB) criteria, and 3.22% in the Less Good (KB) criteria. Analysis of interviews with teachers revealed that although students' science process skills were already at a good level, further improvements were still needed to improve the quality of learning. This study is expected to be a foundation for further research and assist in the development of more effective learning methods in the future.

Machine learning applications to reveal the difference in Robinia pseudoacacia growth and its drivers on China’s Loess Plateau

Abstract The decline in tree growth has become a global issue. It is critically important to explore the factors affecting tree growth under the background of global climate change to understand tree growth models. A database was established based on Robinia pseudoacacia growth and its driving factors on China’s Loess Plateau. Linear regression and three machine learning methods, including support vector machine, random forest (RF) and gradient boosting machine were used to develop R. pseudoacacia growth models considering forest age, density, climate factors and topographic factors. The root mean square deviation method was adopted to quantitatively assess the relationship between tree growth and soil properties. The average tree height of R. pseudoacacia on the Loess Plateau was 8.8 ± 0.1 m, the average diameter at breast height (DBH) was 10.4 ± 0.1 cm and the average crown diameter was 3.2 ± 0.1 m. The RF model was a fast and effective machine learning method for predicting R. pseudoacacia growth, which showed the best simulation capability and could account for 67% of tree height variability and 55% of DBH variability. Model importance indicated that forest age and stand density were the main factors predicting R. pseudoacacia growth, followed by climate factors. The trade-off between R. pseudoacacia growth and soil properties revealed that soil texture and soil pH were the primary determinants of R. pseudoacacia growth in this region. Our synthesis provides a good framework for sustainable forest management in vulnerable ecological areas under future climate change.

Improving Students English Speaking Skill Through Simulation Method At The Seventh Grade Students Of SMPN 3 WERU

One of the main goals of learning English is to improve English conversation skills. However, English conversation skills are still considered as one of the difficult skills for students. Many students face several difficulties when they want to communicate in English, even though they have studied English for years. Some of the difficulties that are often faced and complained by students include: first, they are unable to communicate in English, because they do not master English vocabulary. Second, they are afraid and lack confidence in their ability to pronounce English vocabulary and third, there is no interesting media and learning methods to involve students in communicating in English. Therefore, an effective and efficient solution is needed to increase students' interest in understanding English subjects, namely by providing interesting teaching media and effective learning methods. One of the interesting teaching media is a simulation in the form of games that contain English vocabulary that is arranged as attractively as possible

JUNIOR HIGH SCHOOL STUDENTS' PERCEPTIONS OF PROBLEM BASED LEARNING MODEL IN SCIENCE LEARNING

Problem Based Learning (PBL) is a learning approach that is often used in education in recent years. The purpose of this article is to find out how junior high school students perceive PBL model in science class and the benefits of PBL model in science learning. To find data related to junior high school students' perceptions of problem-based learning models in science classes, the researcher conducted a systematic review of several relevant sources with a period from 2014 to 2023, following the principles of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Based on the research results, it is known that the problem solving ability of students who learn using the PBL model is better than students who learn with conventional models. The results of this study prove PBL as an effective learning method for science compared to conventional teaching methods. PBL method is perceived to improve students' knowledge and communication skills. Based on several research results that have been conducted, it can be concluded that the PBL model has a positive impact on learning.

Pengembangan Perangkat Pembelajaran dengan Strategi dan Metode Pembelajaran dalam PAI

This study aims to analyze various learning strategies and methods used in the development of PAI learning tools. This writing uses the library research method, which is a research approach that relies on data sources from various literatures such as books, scientific journals, articles, and other writings relevant to the topic. The research method used in this literature study is a descriptive qualitative approach, which aims to collect, analyze, and synthesize various literature regarding the development of learning tools with learning strategies and methods in Islamic Religious Education. The results of this study indicate that the development of Islamic Religious Education learning tools, such as syllabus, lesson plans, LKPD, and modules, needs to be designed to cover the cognitive, emotional, and spiritual aspects of students. Learning strategies should be varied and appropriate to students' characteristics, including direct, indirect, interactive, experiential, and independent strategies. A systematic and participatory approach allows educators to guide students to understand and practice religious values. Effective learning methods, such as lectures, discussions, assignments, and projects, encourage students to actively participate, think critically, and apply religious values in daily life.