Reviewerly/exHarmony huggingface dataset:
Model for designing interactive didactic content through free and Russian software

The authors of the article emphasize the importance of free and Russian software in education, as current political and economic conditions, changes in information and communication technologies paradigms, modern employer requirements, and regulatory legal documents all point to the need for their inclusion in the infrastructure of the economy, science, education and other spheres. The article aims to introduce free and Russian software for designing interactive didactic content to the pedagogical community, which highlights the novelty of the research. The article formulates principles for designing interactive didactic courses with gamification elements and presents a structural and functional model for using free and Russian software in designing such courses, which constitutes the theoretical significance of the study. The practical significance lies in the description of specific types of free software for designing individual elements of interactive courses. The methodological basis of the study consisted of general scientific and special methods, including questionnaires, surveys, interviews, and longitudinal monitoring of students’ activity results. The effectiveness of the author’s model of interactive didactic content design is proved by applying statistical criterion of G signs in the course of a specially organized pedagogical experiment. This pedagogical experiment allowed to establish a positive correlation between the active use of the author’s interactive didactic course with gamification elements and the level of cognitive activity of students.
The Digital Turn in Business Anthropology

This essay examines the emerging “digital turn” in business anthropology, a phenomenon propelled by the increasing prevalence and influence of digital technologies. Despite the significant underrepresentation of digital anthropology in current literature within the Journal of Business Anthropology, its relevance to the traditionally focused areas of organizational culture, marketing, consumer research, advertising, and user experience is irrefutable, given the rapid digitalization of the business landscape. By exploring evidence of the “digital turn” and the potential for digital anthropology to overtake design anthropology as a dominant paradigm, this essay advocates for integrating digital anthropology into the professional discourses and research practices of business anthropologists. It highlights the capacity of digital anthropology to equip practitioners with the necessary tools and perspectives to navigate and respond effectively to the ever-evolving digital landscape. Furthermore, the essay delves into the potential of emerging digital technologies, such as AI, to revolutionize anthropological research and practice. Simultaneously, it underscores the entrepreneurial opportunities available to founder anthropologists, specifically by productizing anthropological knowledge and methods. However, practitioners must also acknowledge and address significant challenges such as the rapid pace of digital transformation, privacy and ethical considerations, and the risk of introducing machine bias into the research process. In conclusion, the essay posits that the emerging “digital turn” in business anthropology offers substantial opportunities that will shape the discipline in the coming years, warranting its inclusion by practitioners and academics alike.
Perceived Use of Online Reading Strategies Online Reading Problems: A Study of Relationships between Reading Strategies

Reading comprehension is a critical component of literacy because it ensures that knowledge is easily obtained.However, the online reading comprehension approach necessitates practise, skills, and additional strategies to ensure that the reading is effective.Learners are said to use reading strategies to help them understand the contents.The aim of this research is to identify the relationship in between the online reading problems and the reading strategies.This quantitative research is done using a purposive sampling with 335 participants had involved in the survey.The instrument used is a 5 Likert-scale survey on reading comprehension problems and on perceived use of online reading strategies to reveal the variables.The survey has 4 sections.Section A has items on demographic profile.Section B has 14 items on reading difficulties.Section C has 17 items on global strategies.Section D has 8 items on problem-solving strategies and Section E has 9 items on support strategies.This research found that there is a strong positive relationship between global strategies, problemsolving reading strategies and also support strategies in overcoming the reading problems among the learners.It is learned that from the findings the three strategies global, support and problems-solving strategies are essential to employ in order to minimize the difficulty in comprehend the online reading among the learners.
Students’ Perceptions of Using Roblox in Multimodal Literacy Practices in Teaching and Learning English

The need for digital technology involvement in education is increasingly apparent, so learning techniques are required to be prepared in various digital formats. Using digital learning materials enables teachers to implement the current concept of literacy, i.e., multimodal literacy. This study aims to find out the students' need for digital literacy and their perceptions of using the Roblox game as the learning media to improve their multimodal literacy. This descriptive study used a survey method, taking the second-year junior high school students in the 2021-2022 academic year in one of the state junior high schools in Medan, Indonesia as the respondents. The data were collected using two sets of closed-ended questionnaires. The data obtained from the first questionnaire were analyzed using a forced choice technique for yes or no answers, while the data obtained from the second questionnaire were analyzed using a 4-Point Likert Scale. The results indicate the students' need for digital literacy and their good perceptions of using Roblox as the learning media in improving their English multimodal literacy. It is concluded that teaching English at junior high school is expected to be designed in a digital format by involving games as the media, facilitating the students to improve their English multimodal literacy.
Application Analysis of Data Mining Technology in College English Online Learning Platform

In order to solve the shortcomings of the existing college English online learning platform research, we use data mining related technologies to analyze students' learning tendency, learning achievements and learning content organization in online learning platform, and optimize teachers' teaching mode and teaching effect analysis.This paper discusses the design principles and data mining technologies of the college English online learning platform, and then briefly discusses the data collection, preprocessing and data sources of the application of data clustering and association rules in the platform.By using data clustering and association rules to analyze learner clustering and learning content association, it is found that different students have high, low and medium levels in English listening, speaking, reading and writing, and some students have English scores above 65.The results of correlation analysis are used to recommend the content of students' English sections and predict their scores.
HUBUNGAN PERSEPSI SISWA TENTANG LINGKUNGAN BELAJAR BERBASIS TEKNOLOGI TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN SISTEM KOMPUTER KELAS X BIDANG TEKNOLOGI DI SMK N 1 SIJUNJUNG

The aims of this study are know students' perceptions of the technology-based learning environment at SMK N 1 Sijunjung. Knowing how student learning outcomes in the subject of computer systems. Knowing the relationship between students' perceptions of the technology-based learning environment on student learning outcomes in computer systems subjects.This study used a quantitative research approach in the form of numbers and statistical analyzes which were carried out by collecting data and using a structured questionnaire (questionnaire) which was compiled based on measurements of the variables studied which then produced quantitative data. Results obtaineddata obtained from a questionnaire on student perceptions of the technology-based learning environment at SMK N 1 Sijunjung, that student perceptions of the learning environment on the learning conditions indicator were 64.79% in the good category. teaching method of 54.75%, teacher-student relations of 65.64% with a good category of student learning outcomes, the average student learning outcomes in the subject of computer systems is 75.92.
Penggunaan Semivariogram pada Metode Ordinary Kriging untuk Mengestimasi Curah Hujan di Kabupaten Kuantan Singingi

In a measurement of rainfall data, not all points are gauges because of a limitation. So the Meteorology, Climatology and Geophysics Agency (BMKG) only builds rain gauge posts in areas considered to have potential and can represent the surrounding area. Given these limitations, a method is needed to estimate rainfall data outside the observation post area, namely a geostatistical method called ordinary kriging. Ordinary Kriging is a method for estimating a non-sampled value based on the sampled values around it. By using an experimental semivariogram model compared to several theoretical semivariograms (Exponential, Gaussian, and Spherical) and selecting one of the best semivariogram models to estimate the value to be searched, so that optimal estimation results are obtained. In this study, estimated rainfall in Kuantan Singingi Regency in February 2023 where the results obtained are the average rainfall in each sub-district, which is 220.3827 mm, while the estimated rainfall in each village is 217.180. So that Kuantan Singingi Regency is an area with moderate rainfall.
Model Matematika Penyebaran Penyakit Infeksi Saluran Pernapasan Akut (ISPA) Berdasarkan Lokasi Anatomi Akibat Bakteri Streptococcus Pneumoniae

Streptococcus pneumoniae is a bacterium that attacks the human respiratory tract. Streptococcus pneumoniae bacteria cause respiratory diseases in the form of pneumonia, otitis media, sinusitis, sepsis, peritonitis, and abscesses. The purpose of this study was to establish, analyze, and interpret the mathematical model of the spread of Acute Respiratory Infections (ARI) based on the anatomical location of the Streptococcus pneumoniae bacteria. In the mathematical population formation model, the human population is divided into six population groups: susceptible, exposes, sinusitis infections, otitis media infections, pneumonia infections, and recovered. An analysis of the stability of the system around the equilibrium point produces two points, namely, disease-free points, which will be asymptotically stable if βπ&lt;μ(μ+ε+ρ). While the endemic point of the desease will be asymptotically stable if βπ-μ(μ+ε+ρ&gt;0.
Big Data Analytics Capabilities, Sustainability Reporting on Social Media, and Competitive Advantage: An Exploratory Study

Manuscript type: Research paper Research aims: Drawing from the lens of dynamic capability view (DCV), this study investigates whether companies with big data analytics (BDA) capabilities, specifically BDA management, infrastructure, and personnel capabilities, disclose more sustainability posts on social media and whether such disclosure affects their competitive advantage. Design/Methodology/Approach: Data from 100 public listed firms in Malaysia were obtained from questionnaires and content analysis of Facebook pages. Smart PLS was employed to analyse the data. Research findings: The results suggest that in the context of Malaysia, BDA management capability significantly impacts sustainability reporting on social media (SRSM). The evidence also points to SSRM positively impacting a company’s competitive advantage. Theoretical contribution/Originality: Theoretically, this study contributes to the literature on DCV. The findings provide insights into how BDA capabilities can help organisations focus on social media platforms and communicate with their stakeholders on sustainability performance. It also suggests that sustainability reporting on social media is associated with competitive advantage, as it allows for two-way interaction between organisations and its stakeholders. Practitioner/Policy implications: Practically, this study provides insights into the roles of accounting, social media, and big data within the current digital revolution. Specifically, it offers guidance to executives and managers on identifying the conditions that need to be present for BDA capability to add value to SRSM. Additionally, the findings here have implications for policymakers and businesses looking to use BDA in the context of SRSM to gain competitive advantage. Research limitation/Implications: Future studies could consider increasing the sample size. This study sheds light on the relevance of BDA capabilities in promoting sustainability issues using social media.
ACTION RESEARCH IN THE FUNCTION OF ENCOURAGING READING HABITS IN STUDENTS: JOINT FAMILY AND SCHOOL ACTIVITIES

Taking into account the relevance of action research, as well as their positive characteristics and the effects they can lead to, this article is aimed at encouraging and developing reading habits among students and visiting the school library through the application of action research. Motivated by the examples of good practice of many practitioners, as well as the exceptional methodological expertise and desire of the school actors (teachers and school librarians) with whom we collaborated on this research, we tried to promote reading activities and visits to the school library through cooperation and the unique action of students, teachers, and parents through a spectrum of creative contents. The findings of the conducted action research show a number of achieved results in the positive aspect of building reading habits among students, attitude towards reading and activities in the direction of visiting the school library. Many research projects and activities are directed towards the promotion of reading, where further research could direct more attention to the active involvement of parents in the activities of the school library, providing opportunities and opportunities for parents to express their ideas in this sphere, creating conditions for their participation and applying action research to develop values and reading habits in students.
Teachers’ Perceived English Proficiency and Self-Efficacy of English Teachers in the Academic World

This research used descriptive correlational design to find the significant relationship between perceived English proficiency and self-efficacy of English teachers. The respondents of the study were 142 elementary teachers teaching English in Candelaria West District. It was conducted during the third quarter of SY 2022-2023. Majority of the respondents are within 26-30 and 41-45 years of age, mostly are female, majority of them are in the service for less than five years, with Bachelor Degree, graduate of Education but non-English major, and majority of them use English every day outside the classroom. The respondents use English in a week mainly in teaching an English class. The respondents perceived reading as their most proficient macro skills and speaking, their least proficient. They perceived general English proficiency, speaking skill, and writing skill in the proficient level while listening and reading skills in the highly proficient level. The respondents perceived efficacy to decision making, efficacy to influence resources, instructional efficacy, and efficacy to parental involvement, community and stakeholders in some influence level. Meanwhile, disciplinary selfefficacy and efficacy to create a positive school climate in a great deal level. When it is correlated the results revealed that majority of the self-perceptions in English proficiency are correlated to self-efficacy. However, certain variables found to have no significant relationship to each other. This includes the general English proficiency and the four macro skills to efficacy to influence decision making, efficacy to influence resources and efficacy to parental involvement, community and stakeholders both for writing skills.
Implementing Differentiated Instruction in Writing Procedure Text for Grade X Students (Phase E) at SMA N 1 Wonosari, Indonesia

This research aims to know any difference of students’ ability in writing procedure text who were taught through implementation differentiation instruction and conventional teaching. Employing a mixed-method approach, this research focuses on 128 students of SMA Negeri 1 Wonosari, Boalemo Regency, Gorontalo Province as research population and 32 students of class X B, as the experimental class and X C, as the control class, respectively, as research samples. Data collection involves two methods, which are PASL survey to obtain students’ interests and learning styles, as well as an essay test. As a means of assessing the effect of the treatment on students writing, a scoring rubric proposed by Brown (2007) is utilized. Data analysis involves a statistical analysis, specifically t-test, followed by the experimental data analysis with the pre-test and post-test models. Based on the findings, the result of calculation showed the value of Tcount as 5.53 and the value of Table is 1.822. Therefore, since Tcount &gt;Ttable, H0 is rejected, which implies that there is statistical evidence to support the presence of a significant difference in students' writing ability through the implementation of differentiated instruction. In summary, the research suggests that differentiated instruction has a positive impact on students' writing ability compared to conventional teaching methods, based on the statistical analysis and the rejection of the null hypothesis. Keywords: writing ability, differentiated instruction, mixed-method approach
Email Literacy in Higher Education Institutions: A Case Study on Student-Instructor Email Communication at Dhofar University in Oman

Email is one of the means via which students in higher education institutions (HEIs) liaise with instructors to enquire about course materials, assignments, upcoming assessments and seek advice on personal or academic matters. The current study is an attempt to investigate student-instructor email communication focusing on the problematic aspects in students’ emails that affect the process of communication. The study is based on the analysis of one-hundred email messages composed and sent by undergraduate students to their instructors at Dhofar University in Oman. It is concluded that student email messages are often characterized by lack email etiquette rules, linguistic inaccuracies and traits of texting and instant messaging mediums. Several student messages, for instance, lack proper email layout and contain grammar, spelling and punctuation mistakes, indicating that reviewing emails before sending them to teachers does not take place. In addition, informal features such as use of informal vocabulary, excessive use of punctuation marks, non-standard spelling, emojis and emoticons, which reflect unawareness of formality, professionalism and university setting etiquette, are noticeable in students’ email messages. Therefore, pedagogical intervention with respect to acquisition of skills required for writing and perceiving emails is recommended. Education and guidance on the conventions governing email communication can help students communicate more effectively and professionally via email in HEIs, which will promote not only decent practices but also future employability opportunities.
Rayleigh-quotient-based Data Classification Method for Machine Learning

Abstract Inspired by the ability of human ears to distinguish between different kinds of music and the ability of an ancient instrument to play countless beautiful melodies, this paper proposes the Rayleigh-quotient-based data classification method, which implements data classification by selecting an appropriate eigenfunction coordinate system to represent different categories of data and making different categories of data show significant differences in the coordinate components, meanwhile, transforming the selection problem of an eigenfunction coordinate system into a design problem of physical parameters of music instruments, such as designing a non-uniform string or membrane with distributed supports. In theory, the method is based on the eigenvalue problem for Sturm-Liouville differential equation, the eigenvalue problem for functional minimization, and the generalized eigenvalue problem for matrices, which have a time-honored history and can provide strong theoretical foundation and support. In addition, each parameter in the method has a clear physical interpretation and can be adjusted under the guidance of a set of complete theory, and their influence on classification results is definite, avoiding the large time consumption due to randomly adjusting parameters. The data classification procedure is divided into 2 steps, including mass density function design and stiffness function design, which not only simplifies the process of parameter adjustment, but also enables the optimization algorithm to be implemented by the linear programming with a low computational complexity, theoretically guaranteeing a high computational efficiency. Considering the amount of data being classified is large, two kinds of algorithms are developed to implement data classification, where one is a statistical averaging algorithm and the other is an incremental iterative algorithm. Finally, by combining the image database MNIST, the Rayleigh-quotient-based data classification method is employed to build an image classifier, which is trained on the MNIST training set including 60,000 images, and is tested on the MNIST test set including 10,000 images. The classification results show that by selecting an appropriate eigenfunction coordinate system, the Rayleigh quotient distribution of each category of image can be controlled within a very narrow range, while different categories of images show significant difference in the Rayleigh quotient distribution; the classification accuracy on the MNIST training set and on the MNIST test set are stable at about 99.50%, and the maximum accuracy can reach to 100.00% on the MNIST training set and 99.76% on the MNIST test set; and the Rayleigh-quotient threshold can be selected within a very wide range, beneficial for the robustness and stability of data classification.