Reviewerly/exHarmony huggingface dataset:
Development of a Mobile Learning App for the Arabic grammar course for Third-Intermediate Students in Saudi Arabia

This research investigates the integration of mobile phones as a vital component in students' academic lives, highlighting their role in facilitating access to diverse information sources and fostering positive outcomes in terms of academic achievement and success. Specifically, the research explores the use of mobile learning technology in the educational process, emphasizing its effects on students' enjoyment of learning, motivation for learning, and overall educational attainment. The mobile content development process is outlined, comprising three fundamental stages: Design, Develop, and Publish. Each stage encompasses its own workflows, allowing for the utilization of various methods and tools. The research adopts the ADDIE model to design and develop a mobile learning application focused on improving students' achievement and motivation in learning Arabic grammar. The ADDIE model, an acronym for analysis, design, development, implementation, and evaluation, is employed to guide the progress of each phase, with continuous feedback playing a pivotal role in informing the development of the application. The content developed is tested and evaluated by students, taking their opinions into consideration. The ultimate aim of this research is to present a model that can be utilized as a framework for future studies and developments in the field of mobile learning technology.
Analyzing the Challenges of Developing English for Specific Purpose (ESP) Courses for Sino-Foreign Cooperative Educational Programs

With the increasing globalization and internationalization of higher education in China, Sino-foreign cooperative education programs are also flourishing. The English language and English language curricular and teaching are unavoidable topics in Sino-foreign cooperative education programs. The development of English for Specific Purposes (ESP) courses is directly related to the quality of talent cultivation in Sino-foreign cooperative educational programs. To promote the successful implementation of Sino-foreign cooperative education programs, this study takes the Sino-German Institute of Industrial Design (IDI) as an example to explore the challenges encountered in the development and practice of the English for Industrial Design (ESP) course under the Sino-foreign cooperative education program. This study aims to identify the current challenges of the ESP courses to enable students better to adapt to the foreign learning mode in advance study and integrate into foreign cultures. This study utilized a qualitative research method of semi-structured interviews. In-depth interviews were conducted with one IDI director and two faculty members of IDI's ESP course. They were questioned about the problems and difficulties they encountered while conducting the ESP course. The study’s results indicate challenges in the IDI’s ESP courses concerning the background of course students, the selection of course materials, the quality of course teachers, and the teaching methods of the courses. The study analyzed the current state of ESP course development in Sino-foreign cooperative education programs, the challenges that significantly affect students’ academic performance and the successful teaching of IDI Sino-foreign cooperative education.
Impact of Local Language on Academic Performance of Nursery Pupils

The study investigated the impact of local language on the academic performance of nursery school pupils in Mathematics, Basic Science and Agricultural Science. The pre-test-posttest control group experimental design was adopted for the study. The population for the study was 180 pupils. A sample of 120 pupils was used for the experiment and the remaining 60 participants served as the control group. Four research questions and four hypotheses were developed for the study. Two research instruments (multiple-choice items) were used for the analysis. Expert judgement was used to ascertain the validity of the instrument. Kuder Richarson formular20 was used to establish the reliability of the instruments. The instruments were administered to the pupils. Mean, standard deviation and percentage were used to answer the research question, while a t-test was also used at a 0.05 level of significance to analyze the hypotheses. The findings revealed that local language has an impact on the overall performance of the pupils. The subject-by-subject analysis of the three subjects equally shows that using the local language in teaching nursery pupils at an early stage will improve academic performance compared to those taught in English language. Conclusions were drawn and recommendations were equally made.
Learning platforms in the training of future mathematics teachers: analysis of foreign experience

The analysis of the experience in using learning platforms for the education of future specialists in different countries of the world is relevant for understanding and explaining the positive and negative aspects of learning platforms implementation in the process of professional training of future teachers in Ukraine. In the article, we analyzed the experience of foreign countries (USA, Latvia, UK, Turkey, Colombia, Netherlands) in using learning platforms for the training of future mathematics teachers.&#x0D; Content analysis of Internet resources; analysis, synthesis, comparison, systematisation and generalisation of research results, reflected in the publications of foreign researchers as for the implementation of learning platforms in the training of future mathematics teachers.&#x0D; We highlighted the following key positions of the researchers in foreign studies: teachers' ignoring learning platforms, on the one hand, demonstrates their desire to maintain monopoly control over students' learning and their distrust of students' independent learning. On the other hand, it may demonstrate teachers' inability to use learning platforms efficiently. It’s worth noting, that learning platforms can open up a wide range of opportunities for mathematics teachers to improve the effectiveness of teaching mathematics students. At the same time teachers do not feel well prepared to use digital technologies in conducting lessons. Special training for the efficient implementation of digital technologies by teachers in the education process has to be formed during the education in the university for the teachers not to lose time for this aspect during their professional activity.&#x0D; There is the increasing integration of digital technologies into the process of professional training of future teachers. Combining foreign experience in the implementation of learning platforms for the training of future specialists with the scientific potential of Ukrainian researchers is one of the ways to overcome the current problems of distance/blended learning and further introduction of innovative technologies into the Ukrainian education system
Optimasi Fuzzy C-Means Menggunakan Particle Swarm Optimization Untuk Pengelompokan Kabupaten/Kota Di Pulau Kalimantan (Studi Kasus : Data Indikator Kesejahteraan Rakyat Tahun 2020)

Fuzzy C-Means (FCM) is a method of grouping data based on the degree of membership whose observation object is based on the information found in the data describing the object. The FCM method has weaknesses in the initial cluster center determination, so it can be overcome by the Particle Swarm Optimization (PSO) method that can be applied to find the optimal solution of the optimal cluster center determination. The purpose of this research is to determine the optimal number of clusters based on the validity indexes of Partition Coefficient (PC) and Modified Partition Coefficient (MPC), and obtain the results of grouping regencies/cities using the FCMPSO method. Based on the FCMPSO method with a validity index of PC and MPC, it produces an optimal cluster of two clusters, the first cluster consisting of 33 regencies/cities on Kalimantan Island and the second cluster consisting of 23 regencies/cities on Kalimantan Island.
A study to assess the effectiveness of planned teaching program on knowledge of teacher regarding prevention of suicidal tendency in higher secondary school children at Indore. (M.P)

Suicide is third-leading cause of death for teens, after accidents and homicide. About 1 in 15 high school students attempt suicide each year, and about 1 in 53 make an attempt serious enough to require medical attention. Which activities will help your students understand and how to the teacher get help of students the objective is assessing the knowledge of higher secondary school teacher regarding suicidal tendency. The methodological approach adopted for development and evaluating effectiveness of planned teaching program and knowledge of teachers. Based on study finding 94% having in edequate knowledge in the pre-test, 6% having moderate knowledge in pre-test and 25% in the post test.75% of the teacher had adequate knowledge in the post test. These findings shows that there is enhancement of knowledge after implimenting, planned teaching program. The results shows that the Correlation between pre-test and post test result are significant at p
Dual-kernel echo state network for nonlinear time series prediction

An echo state network (ESN) is a recurrent neural network (RNN) often applied to nonlinear time series prediction. The traditional ESN randomly generates the weights of the input layer and the reservoir layer and does not change these weights, and generally only learns the weights of the output layer through linear regression, so the training speed is very fast. In this work, we propose a novel kernel echo state network (KESN). In KESN, the random weights of the input layer are removed and a series of gaussian kernels are used to replace the neurons in the input layer. Similar to radial basis function (RBF) neural networks, KESN can use the k-means algorithm to generate the kernel center and estimate the bandwidth of the kernel function. We prove that a KESN has echo state property, which is an important factor of KESN that can normally work. Furthermore, kernel ridge regression (KRR) is used to learn the weights of the output layer instead of a simple linear model. Finally, to obtain the optimal parameters of the model, the tree-structured parzen estimator approach (TPE) is used to optimize the hyperparameters of the model. In a time series prediction experiment, it is proved that KESN is more stable and performs better than the echo state network which randomly generates weights and trains output weights using linear models. We found that the reservoir layer weights are equivalent to a dropout operation, and the KESN is inherently equivalent to a regularized neural network. We call the KRR-based KESN dual-kernel echo state network (DKESN).
Students’ perceptions on the benefits of authentic materials through technology in English listening comprehension

The use of didactic materials in teaching has been an important issue throughout the history of education. Considering the constant educational innovations, authentic materials have been effective tools for developing listening comprehension skills. Recent studies have shown that use of authentic materials through technology in teaching have highlighted the need to analyse their effects in Learning the English Language. In this sense, the present research aims to figure out the seventh-grade students’ perceptions on the benefits of authentic materials through technology in the improvement of their listening comprehension skills at an elementary school in Loja city during the 2022-2023 school year. For this reason, the researcher applied an action research model approach with a questionnaire to gather quantitative and qualitative data, which were interpreted and analysed by using descriptive statistics and thematic analysis. The results showed that students agreed that authentic materials like songs, cartoons, conversations, TED talks, and documentaries helped them to acquire the language, keep them motivated, develop their interaction with their classmates, feel comfortable, and improve their listening skills. Therefore, it was concluded that seventh-grade students positively perceived the use of authentic materials provided through technology.
Klasifikasi Penyakit Tuberkulosis Menggunakan Metode Naive Bayes (Studi Kasus: Data Pasien Di Puskesmas Petung Kabupaten Penajam Paser Utara)

The Naive Bayes method is one of the data mining methods used in classifying data and predicting future opportunities based on experience or previous data. This method was proposed by British scientist Thomas Bayes using a branch of mathematics known as probability theory. One of the diseases that can be detected using the classification using the Naive Bayes method is Tuberculous (TB). Tuberculous is an infectious respiratory disease caused by the bacterium Mycobacterium Tuberculosis. The purpose of this study was to determine the results and accuracy of the classification of Tuberculous disease using the Naive Bayes method in one of the health service units, namely Puskesmas Petung, Penajam Paser Utara. The results showed that data mining classification using the Naive Bayes method was appropriate in classifying Tuberculous. For training and testing data, divided into 90:10, the accuracy rate is 87.5%, categorized as Excellent Classification. As for the training and testing data divided into 70:30, the accuracy rate is 90.9%, classified as Excellent Classification.
Cross Cultural Understanding and English Language Skills Development of Indonesian Students Studying Abroad

Studying abroad in general is beneficial academically, socially, and linguistically for students. This qualitative study is using narrative inquiry to uncover personal experiences of three Indonesian undergraduate students as they sail to study abroad through IISMA to the University of Padua, Italy in 2021. The experiences and meaning the students develop are discussed through interviews and personal notes. The data is categorized based on the research questions about what and how the experiences of study abroad influence cross-cultural understanding and English skills development. Before departing, aiming to study abroad and the preparation is the most critical. Meanwhile, during the program, cultural and academic obstacles is inevitable. Upon returning to Indonesia, students developed a stronger sense of self-confidence to pursue another degree and career advancement. This study concludes that individual narratives is an important tool to empower the learning process for students studying abroad.
The Implementation of KWL Strategy in EFL Students’ Reading Comprehension

Reading is one of the fundamental aspects underlying students’ achievement yet becomes an activity abstained by students. In fact, EFL learners demand more enjoyable and diverse reading activities. Most EFL students perceive that they are continuously exposed to prevalent reading activities. This qualitative study aims to scrutinize the implementation of KWL strategy in EFL reading comprehension. To answer the research question, twelve higher students of the English department were invited as the participants to be interviewed. The findings reflected that EFL learners encountered reading challenges related to vocabulary, reading comprehension, and attention span. However, KWL strategy assisted them, particularly in setting goal, monitoring reading process, and evaluating reading activity.
Indonesian EFL Students’ Perception of Online Learning as Expressed through Metaphors

Language learning can get two essential benefits from metaphor, as it is an effective tool for language learning and a useful tool for revealing abstract, obscure, and tacit ideas. One of the most problematic phenomena in education today is online learning (OL). Although all higher learning institutions have adopted it for almost three years, OL is still far from being effective. To get a better understanding of OL, this study aims at exploring EFL students’ experience and perception of OL employing metaphor analysis. Involving 69 students of a private university in Jakarta, Indonesia, data was collected online through Google Form in which the participants were asked to complete a sentence running “Online learning is like … because ….” The gathered metaphors were then analyzed using the content analysis procedures. The results showed the most predominantly metaphors produced by the participants are positive (32 items), followed by negative metaphors (25 items), and neutral metaphors (2 items). Based on the discussions, some suggestions are recommended for further research and OL practices improvement.
Evaluasi Pembelajaran Daring Pada Jurusan Akuntansi Politeknik Negeri Padang

This research evaluates the online learning system that has been carried out by the accounting department of PNP. Lecturers and students of the accounting department of PNP become the subject of this research. This research used a descriptive qualitative approach where the data collected through questionnaires and Forum Group Discussion (FGD). The results showed that 18% of students do not have a PC/laptop. This situation makes the students difficult to take online learning because they have to take computer application courses every semester. Hence, there are 9% of students who lived in remote areas, which requires them to find internet network spots that are far from their house. This research found that students like the asynchronous learning system better than the synchronous learning system. About 15.8% of lecturers in the Accounting Department of PNP feels that it is hard to prepare teaching materials for online learning. And 21.1% of lecturers also have a problem with using the Learning Management System (LMS).
Dispute resolution in the field of intellectual property law in Uzbekistan

This article discusses ongoing reforms in the field of intellectual property protection in Uzbekistan. In particular, the issues of administrative responsibility for violation of intellectual property rights, the process of judicial protection are covered. Opinions were also expressed on the procedure for resolving disputes in the field of intellectual property by administrative, civil and criminal courts. At the same time, based on the types of intellectual property objects (industrial property objects, means of individualization, copyright), the features of resolving conflict situations related to them are revealed. Based on the results of the article, the author concluded that it is necessary to specialize courts in resolving disputes in the field of intellectual property, expand the mechanisms of alternative ways of resolving disputes in the field of intellectual property, and improve the system of enforcement of judgments on intellectual property
Students’ Perception on Using Duolingo for Learning English Vocabulary

The rise of technology has expanded a variety of interesting and new online-based learning aids for English. Duolingo app, which makes learning languages, especially English, easy, accessible, and effective.The objective of this study is to describe and observe the students' perceptions of using Duolingo software for vocabulary at Madrasah Tsanawiyah 01 Darussalam Kepahiang. This study applied qualitative analysis techniques and conducted tests, questionnaires, and interviews as well as interviews to collect data. In this study, the writer used a non-probability sampling method in which 25 students from class VIII E were selected as a sample. This study found that the majority of students were encouraged to learn English vocabulary through this Duolingo application. Students can use the Duolingo app to learn English vocabulary which is easy to understand and students are more interested and excited about learning new words. Duolingo can also keep students from getting bored while learning and help them come up with new ways to learn. According to the findings of the research, it is possible to assume that students' perception of using Duolingo is positive and extremely helpful for enhancing vocabulary during learning English.&#x0D; Keywords: duolingo, students perception, vocabulary
Perbandingan Algoritma C4.5 Dan Naïve Bayes Untuk Prediksi Ketepatan Waktu Studi Mahasiswa

Classification is a statistical technique that aims to classify data into classes that already have labels by building a model based on training data. There are many methods that can be used in the classification including Naïve Bayes and C4.5. The C4.5 algorithm is an algorithm used to form a decision tree while Naïve Bayes is a classification based on probability. This study aims to determine the results of the classification of C4.5 and Naïve Bayes and to determine the classification accuracy of the two methods. The variables used in this study were graduation status , entrance , gender , regional origin , GPA , and UKT group . After the analysis, the results showed that the average accuracy level of the C4.5 algorithm was 61.99% and the Naïve Bayes accuracy level was 69.97%. So it can be said that the Naïve Bayes method is a better method in classifying student status compared to the C4.5 . method.&#x0D;
Genetic Fuzzy Passivity-Based Control Applied to a Robust Control Benchmark Problem

Second-order systems are incredibly common in many aspects of engineering, especially where structures and mechanics play a major role. Multi-degree-of-freedom, 2nd-order systems are those with dynamics described by a system of coupled, ordinary differential equations of degree 2. Passivity-based control is a common scheme used in controlling these systems due to its physical inspiration and robustness. In this work, a Fuzzy Inference System (FIS) is developed to augment a passivity-based controller for improved robustness. The FIS is trained by Genetic Algorithm and applied to a robust control benchmark problem.
A Scoping Review of Mental Model Research in HCI from 2010 to 2021

Research on mental models has been ongoing in Human-Computer Interaction (HCI) since the 1980s. A mental model derives from humans’ perception, memories, knowledge, and causal beliefs about the external reality, mediating how they describe, explain, and predict the world surrounding them. By understanding users’ mental models of a target system, designers can improve the learnability and usability of a system via a better interface. Although understanding mental models is important for interface design, unfortunately understanding what is meant by the term ‘mental model’ can be a challenge. The field has historically been plagued by inconsistent usage of the term, as pointed out by prior researchers. It has been some time since the last comprehensive evaluation of HCI-related mental model research. This scoping review provides a comprehensive overview of the current literature on mental model research in HCI from 2010 to 2021, exploring aspects such as where research has been conducted, by whom, on what, using which methods, and for which purposes. The findings suggest a growing diversity in approach, with new perspectives and methodologies being introduced. Our review was initiated by a desire to understand the state of the art of mental models research, and sustained by a sense of confusion about the different ways that different researchers used the term. We hope that it will help people new to the field to make sense of the rich, diverse, but at times rather confusing ways that the term ‘mental model’ is used in HCI research.