Reviewerly/exHarmony huggingface dataset:
Reading comprehension processes

Reading comprehension is a complex, multifaceted process in which a number of components are appropriately and often simultaneously activated. The importance of different background subprocesses, its complex nature, as well as the interconnection of various components has been demonstrated by various ‘models of reading and reading comprehension’. Based on these models, assessment methods and materials for reading comprehension are developed. However, the models and assessment materials developed so far are mostly derived from research on languages with non-transparent orthography (e.g., English). Therefore, the question arises regarding the extent to which they can or should be applied in languages with shallow, transparent orthography (e.g., Croatian) that have clear and consistent relationships between letters and sounds, as opposed to languages with deep orthography. The main aim of this study was to present a brief review of prominent reading comprehension models and their interconnections through specific levels of language processing (single word, sentence, discourse), as well as to discuss the methodological aspects of assessing reading comprehension processes arising from the presented theoretical models. Motivated by the fact that there is a lack of studies on models and assessment materials in languages with transparent orthography, the application of existing models and assessment methods will be discussed in the context of transparent orthography languages. This study provides comprehensive insights, based on theory, on the key elements to consider when developing an assessment method/tool for reading comprehension, both for research or diagnostic purposes
Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method

Structural Equation Modeling (SEM) is one type of multivariate analysis in the social sciences. Multivariate analysis is the application of statistical methods to analyze several research variables simultaneously. This community service activity was held and aimed at the academic community (lecturers and students) from partner campuses of the Faculty of Economics, State University of Jakarta, they are FEB UHAMKA, STIE Indonesia, and Tempo Polytechnic with the aim of providing knowledge about research methodologies, especially the Structural Equation Modeling method (SEM) – Partial Least Squares (PLS) which has various advantages compared to other PLS software as described above. Another goal is expected to help improve the ability of the partner academic community in making scientific articles to be published in national and international journals. In addition, in this training, partners are also trained for hands-on practice using the Warp PLS Ver Software. 5.0. The method of implementing this community service activity is in the form of a workshop that includes providing material related to the SEM-PLS method as well as direct practice in using the WarpPLS software. During the workshop, the partner academic community was also given time to discuss and ask questions directly with the instructor.
Raising naturalistic intelligence towards increasing academic performance: Environmental activities alongside learning

One of the eight multiple intelligences being neglected in the academe world is the naturalistic ability.This is the skill and intelligence which is closely related to environmental awareness, and leads a person to become engaged in exploring the things around him, especially those with life form.The purpose of this study was to investigate on the effect of nurturing vegetables alongside learning to the academic performance of Grade 11 ABM learners of Talangan Integrated National High School, Nagcarlan, Laguna, Philippines.Thirty-eight learners initially benefitted on this exploratorysequential mixed study, with 21 participants (7 teachers, 7 parents and 7 learners) in the qualitative survey questions.The 38 ABM learners were given a 5-week challenge of planting vegetables of their choice, which they were asked to do in school during vacant timeshaving a contact with their environment by choosing the vegetable to plant, observation of the growth of their vegetable, exploration, classification, and ultimately leading to forming a hobby of cultivating vegetables at home.After the 5-week challenge, it was found out that the naturalistic intelligence and academic performance from second quarter to third quarter of the school year significantly increased, using paired t-test and supported by p-values.The result of the written interview to the participants with regards to how naturalistic intelligence was nurtured by the five activities (contact, observation, exploration, classification and hobby) generated five themes: (1) Contact with things around us creates awareness and later breeds curiosity; (2) Keen observation of how living things grow helps in forming environmental inclination; (3) Knowledge and different information are available through environment exploration; (4) Identifying the characteristics and classification of different kinds of life form discloses inspiring creation; and (5) Development of hobby in personal life is possible when the importance of an ability is realized.Recommendations to school heads and officials, teachers and advisers, DepEd officials, family and community were laid down at the end of the study.
Analisis Sentimen Pemilu Indonesia Tahun 2024 Dari Media Sosial Twitter Menggunakan Python

The general election of Indonesia in the upcoming 2024 will be an interesting topic for social media users, especially Twitter. Currently, Twitter is very influential in building sentiment, preferences, and public politics. So that people's Tweets can be used to see a picture of public opinion. There are various opinions of Twitter users with positive, neutral and negative sentiments. However, classifying the sentiments of Twitter users requires quite a lot of time and effort due to the large number of tweets found. The large number of incoming tweets regarding the election encourages the need for a method that helps to view public opinion effectively. By providing the textblob library, Python, which is a programming language, is able to classify tweet data and can be used to answer these problems. The tweet data is preprocessed first where there are two processes in the initial data, namely the cleaning and stemming processes. After that, a sentiment analysis was carried out to find out how the results of the classification related to public opinion from the 2024 elections and classify them into three classes, namely positive, neutral and negative using Python. The results of this study show that Python performs sentiment analysis with the results of the proportion of positive class sentiments of 40%, 52% neutral and 8% negative about the 2024 elections so that it can be concluded that Python can classify tweets from Twitter so that we can identify public opinion about elections. The general public of Indonesia in 2024 will have neutral opinions tend to be positive
Academic Information System Success Model and Maturity Level Comparison for Improvement Recommendation

Evaluation of a system is needed to determine whether the system is still in accordance with organizational goals. Academic information system is a system that aims to perform data processing so that it can provide convenience for users in academic administrative activities. This study purposes to determine the level of governance maturity in the Monitor and Evaluate domain of academic information systems at Satya Negara Indonesia University and determined factors of the success of the information system. The results of the measurement process shown that the maturity level of the system is at level 2.1 and the factors that affected the success of the system are System Quality, Quality of Service, User Satisfaction and Net Benefits. The comparison specifically on System Quality and User Satisfaction relation has less significant impact (0.2) while IT Performance of Monitor and Evaluate process is at initial/ad hoc stage (level 1). In this study the Quality of Information has no affect on the success of the system. The results of this study provide recommendations for organizations to improve governance according to organizational goals to level 3 and to improve the Quality of Information of information systems.
Ekstraksi Fitur Wajah Menggunakan Metode Viola Jones dengan Tools Cascade Detector

The face is an important part of a person's characteristics that can be recognized by their differences from one another. In image processing, extracting features from faces is the most crucial thing, because features such as the eyes, nose, mouth and human face are very complex to be recognized by a computer. One of them is how the computer can recognize faces and see them like human eyes. Feature extraction is needed in image processing so that the computer can recognize and differentiate facial objects. This cascade is a method used to detect objects and the algorithm has a high degree of accuracy. This method is considered fast and robust for face detection. From the results of the implementation of facial feature extraction using Cascade Detector, it can be concluded that the feature extraction results for the detection of the face and nose produce an accuracy of 85.2% while for the detection of the right eye, left eye and mouth produce an accuracy of 81.9%, which means this level of accuracy smaller than face and nose detection. For the average accuracy value of each extraction of facial features, right eye, left eye, nose and mouth, that is equal to 83.22%. With an error of about 3% because there are detected animal faces. For Animal Nose 1% is detectable
IMPLEMENTASI PENGGUNAAN BIG DATA DALAM MENGANALISIS FAKTOR YANG MEMPENGARUHI KINERJA SISWA DALAM HASIL UJIAN

The development of technology in education is increasing. One technology that is often used in education is big data. This research aims to analyze the factors that influence student performance in test scores. Big Data is a collection of very large and complex data that can be analyzed to reveal useful patterns. In this research, qualitative analysis methods are used to collect and analyze data from various sources, including national and international journals, academic publications, reports, and books. Data processing was conducted using the Kaggle Dataset with a data sample of 1000 students who have taken various exams. This research utilizes Big Data in predicting student performance based on parents' educational background, exam preparation courses, and students' lunch portion. The results show that the factor that affects student performance in exam scores is the student's lunch portion. The number of scores of female students with the appropriate meal portion on the Math, Reading, and Writing exams reached 22.413, 24.875, 24.890. The scores of male students with appropriate lunch portions on the Math, Reading, and Writing exams were 22.759, 21.342, and 20.701. Therefore, the conclusion of this research is that appropriate lunch portions play a crucial role in enhancing students' performance in exam results.
College student perception toward use of mobile learning during coronavirus disease 2019 (COVID-19) era in 2021, Ethiopia

Background: The coronavirus disease 2019 (COVID-19) pandemic affects the educational sector across the globe.Mobile phones help students improve their learning activities.The mobile phone was a widely available device among students.Mobile phones have made a significant contribution to assisting learning in the pandemic era.Therefore, this study assessed student perceptions towards mobile learning during the COVID-19 era.Methods: A cross-sectional study was conducted from September 10, 2021, to November 13, 2022.Participants include one government health college and four private health colleges in Dessie City.First stage, sample size is allocated in five colleges proportional to size.Then a total of 401 college students were recruited using simple random sampling.Data was collected via a structured questionnaire through interviews.The data was entered into Epi Info version 4.6 and exported into Stata version 14. Stata software was used to analyze the data.The data was presented using frequency counts, percentages, mean, and standard deviation.Results: The study response rate was 96.9%; a total of 401 students were interviewed.Nearly 401 (98%) of the respondents had a mobile phone.About 285 (71.1%) and 261 (65.1%) of the respondents used mobile phones for teaching aids and clinical settings, respectively.In this study, 44.0% of students agree mobile learning minimizes the study gap during the COVID-19 era.More than half (62.3%) of students were perceived mobile as easier to share in class discussions both online and offline during COVID-19.Most of (85.9%) of students believe mobile learning helped them recover from a study gap during the COVID-19 period.In this study, small screens, financial constraints, time shortages, a lack of skills, a lack of support, and a lack of interest were the barriers to using mobile devices for learning.Conclusions: This study revealed that mobile phones are the most available technological tools in colleges.Therefore, mobile learning has a great role in assisting learning and clinical practice.This study recommends the integration of mobile learning into the curriculum and trains students to help them develop a positive perception of mobile learning in the teaching and learning process.
Computer Competency and Leadership Skills of School Leaders to the School Improvement

The development of school education programs and school improvement is the responsibility and of school leaders, who are also held accountable for doing so.DepEd Order no.44 s.2015 known as the Guidelines on Enhanced School Improvement Plan (SIP) and the School Report Card (SRC) was implemented to guide school leaders on creating systematic approach interventions for the schools' continuous improvement to provide access to quality education.School report card shows data of the school's improvement.This study investigated the relationship of school leaders' leadership skills and their computer competency to the school improvement in the Division of Laguna.Based on the findings and procedures, it was revealed that the school leaders' computer competency in terms of technology operation and concept, ICT social and ethical skills and ICT professional skills were rated as highly competent.The overall mean of leadership skills terms of cognitive skills, interpersonal skills, technical skills, flexibility skills, employee motivation, conflict management, innovation and creativity, critical thinking, decision making were also rated as highly skilled.And school improvement with regards to instructional delivery, teacher effectiveness, school resources, monitoring plan, needs assessment were all rated as very high.School leaders computer competency and leadership skills were found no significant relationship to school improvement in the in the Division of Laguna.
PELATIHAN SPEAKING DAN LITERASI HUKUM KOMUNIKASI DI SMA NEGERI 27 BATAM

In the world of work, many company need high school or bachelor graduates who have soft and hard skills. One of supporting soft skill needed in work world is the ability to communication. For this reason, students in school are expected to be able to understand communication literacy. Many are proficient in English but sometimes lack direction and lack knowledge of communication literacy. On this occasion, Putera Batam University lecturers conducted training activity for Students in high school on Profession English Proficiency and Communication Law Literacy especially at SMA Negeri 27 Batam. Lecturers who provide coaching and training are lecturers who are experts in their fields; they are from English Literature and Law program. The training provided is oriented towards improving language speaking skills and communication legal literacy using the communication practice method. The results of this training show that students are able to demonstrate their communication skills by 1) appearing in front of the class practicing their language skills 2) Understanding about communication literacy is shown by active participation of students in discussions 3) evaluating by holding practice followed by discussion.
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs

Statistical relational AI and probabilistic logic programming have so far mostly focused on discrete probabilistic models. The reasons for this is that one needs to provide constructs to succinctly model the independencies in such models, and also provide efficient inference.&#x0D; Three types of independencies are important to represent and exploit for scalable inference in hybrid models: conditional independencies elegantly modeled in Bayesian networks, context-specific independencies naturally represented by logical rules, and independencies amongst attributes of related objects in relational models succinctly expressed by combining rules.&#x0D; This paper introduces a hybrid probabilistic logic programming language, DC#, which integrates distributional clauses' syntax and semantics principles of Bayesian logic programs. It represents the three types of independencies qualitatively. More importantly, we also introduce the scalable inference algorithm FO-CS-LW for DC#. FO-CS-LW is a first-order extension of the context-specific likelihood weighting algorithm (CS-LW), a novel sampling method that exploits conditional independencies and context-specific independencies in ground models. The FO-CS-LW algorithm upgrades CS-LW with unification and combining rules to the first-order case.
Cik Upik Application as Learning Media to Identify and Describe the Hikayat Values

The basic competence of students to be able to describe the values and content of hikayat or folklore, which is one of the achievement targets for learning literature in high school cannot be grasped optimally without the support of appropriate learning media. Therefore, the main objective of this research is to develop learning media in the form of an application that can be used to explore and describe the values included in the Cik Upik folklore, which is a form of Malay oral literature. In doing so, research and development model of ADDIE (Analysis-Development-Design-Implementation-Evaluation) is carried out by involving subject matter experts in Indonesian language and folklores and media experts as validators for instrument and product development. In addition, an Indonesian teacher and 10 class X students at a high school participated as research subjects. In the needs analysis stage, a questionnaire was used to explore the needs of teachers and students, which were used as a consideration in designing and developing learning media. The results of the validation of material experts and media experts as well as the responses of teachers and students show that the learning media applications developed in this study were declared valid with very good qualifications. This implied that the learning media application developed in this research and development is very feasible to be used as a learning medium to describe the values included in folklore.
Learners Acceptance of u-KIT EDU as an Educational Application for Robot Building, Coding, and Controlling

Humans tend to always look for convenience, including choosing applications to learn robot programming. uKIT EDU is an educational application for robot building, coding and controlling. This study aims to analyze new learners' level of acceptance towards it. This research was designed quantitatively by involving 116 respondents. A questionnaire based on the Technology Acceptance Model (TAM) was organized with 4 observed variables, including perceived usefulness, perceived ease of use, attitude and behavioral intention to use. The Mann-Whitney U statistical test was carried out in this study to compare two independent samples, male and female learners. Moreover, the Kruskal-Wallis H statistical test was carried out to compare three or more independent samples based on age generations and occupations. From all the statistical tests conducted, it was found that there was no significant difference in the acceptance of uKIT EDU from each sample based on gender, age generations and occupation. They agreed that the app was useful and easy to be used to learn robotics, coding and controlling. Briefly, this study revealed that uKIT EDU is suitable for new learners and can be used as a reference for any schools, educational institutions, and parents of students interested in starting to learn robotics.
PENERAPAN VIDEO PEMBELAJARAN BAGIAN DAN FUNGSI PADA TANAMAN UNTUK KELAS 4 SD DI SD MUHAMMADIYAH 3 DENPASAR

Technological advances and the current pandemic situation require SD Muhammadiyah 3 Denpasar to evaluate the current learning system. The current learning system is less effective due to advances in technological developments, as well as the prolonged pandemic situation that has forced the learning system to be carried out online. Students are still confused about participating in online learning, and are often left behind in effective online learning because the gadgets students usually use for online learning are sometimes being used by their parents or other circumstances. Students need a source of literature or other sources of teaching materials that allow students to review the teaching materials after study hours. Therefore, this community service activity is carried out to provide an effective alternative to be applied to students, namely by making animated videos covering natural science subject matter regarding the functions and parts of plants. This community service activity begins with survey and preparation activities, analysis and development of learning videos, and then conducts outreach and training on how to use these learning videos. Based on the results of the training conducted, students and teachers can properly use this learning video as an alternative reference for learning materials.
Panpuzfape Media to Improve Thematic Learning Outcomes of Grade V Elementary School Students

The lack of media used in learning can affect the low student learning outcomes. This study has four objectives, namely to produce a design of panpuzfape media on the theme of events in life, to analyze the validity of the content of panpuzfape media on life events, to analyze the practicality of students in panpuzfape media on the theme of life events, and to analyze the effectiveness of panpuzfape media development on the theme of deep events in order to improve the learning outcomes of fifth grade students in elementary schools. This development study uses the ADDIE model, which is composed of five stages, namely analysis, design, development, implementation, and evaluation. This study takes the subject of panpuzfape media, while the objects of development research are media content validity, user response, and media effectiveness. Data collection methods used are observation, interviews, questionnaires, and tests. The instruments used for data collection were observation guidelines, rating scale sheets, interviews, and questionnaires. Quantitative analysis method consists of two ways, namely descriptive statistics and inferential statistics. The results showed that Panpuzfape media was valid in terms of the results of the expert's assessment, practical in terms of the results of the practitioner's assessment, and effective in terms of the results of tests on students.