Reviewerly/exHarmony huggingface dataset:
Model Komunikasi Ruang Literasi dalam Meningkatkan Minat Baca di Kalangan Mahasiswa UINSU Medan

Reading is a crucial skill that any student must incorporate into their daily routine. By engaging in reading, you can get new knowledge, and you can increase your level of concern for your social well-being through reading. But at State Islamic University of Nort Sumatera, particularly among the Student, the reading program is rather erratic. Compared to reading a book, student more frequently uses the internet to search for educational information and materials. This suggests that at UINSU, bias is not yet a way of life, and bias among UINSU women is more persistently expressed in their viewing of television programs and dramatic readings on gaming console. Because of this, Literasi room had to reappear in order to provide the student with renewed inspiration to read. It is anticipated that this Literal Component will be an effective solution to address the issue of Minat Baca in the student community.
User interface/user experience revamp and usability investigation of Indonesian pharmaceutical mobile commerce app

User interface and user experience are important in making a system or application to attract user interest. But there are still some complaints from users about the health mobile commerce application and some of these complaints are related to the user interface and user experience. Therefore, a revamp is needed to improve the UI and UX of this application. The method used in this research is User-Centered Design which will be assisted by usability testing and measurement using the System Usability Scale. This study resulted in an evaluation of the old design through usability testing and a system usability scale questionnaire where the old design evaluation obtained a success rate of 70% when compared with the average success rate obtained by 78%, the learnability value is categorized as bad, the time-based efficiency is 0.064 goals/sec where the time is 2.92 times longer than the expert so that the users are said to be normal, the error rate is 0.48125 total defects, when compared to the average error rate of 0 70 total defects can be categorized as small, and the SUS calculation is 63.83%, which means that the application gets grade D. In addition, this research will produce an analysis of system requirements both functional and non-functional, design of new designs as recommendations for improvements based on system requirements analysis, and evaluation results of new designs.
Utilization of Information Technology-Based Learning Media to Support Active Learning Activities at State High School 2 Husni Thamrin

In general, high school students view mathematics as a difficult and boring subject. In addition to students, teachers also have difficulty in conveying material for the introduction of majors for lectures. The lack of student interest in learning mathematics is a problem for every high school teacher. This happens if the teacher's ability to use conventional learning methods such as from textbooks and explanations from the teacher only. Therefore, it is necessary to strive in the process of learning mathematics to be more interesting, more interactive and fun. This issue also applies to science materials that require understanding. For this reason, teaching aids are needed that are used to stimulate students' responsiveness in studying material according to their scientific competence. This service aims to apply knowledge and technology by conducting training in making and tutorials on mathematics learning media so that it can increase understanding and attract students' interest in learning and help improve the quality of teacher education and teaching at Husni Thamrin High School.
The Importance of Parental Involvement on Students’ Speaking Achievement

This research article explores the importance of parental involvement on students’ speaking achievement. The researchers demonstrate how parental involvement in children’s learning process can lead to numerous benefits for both children and parents, educators, and also school; including speaking achievement in English subject area. In this global era, Indonesian students are expected to master English as stated in the curriculum. Speaking is an essential skill in English to help students facing the global era in order to build relationships with other people around the world. Sometimes students have difficulties in practicing their speaking skills. This may be due to the lack of involvement of parents in the children’s learning process. Parents should encourage their children to be fluent in English as one of the international languages which are needed to find a job and pursue further education. As a result, it is not only parents that become the crucial components in educating students to create a better achievement but also school and community matters. Thus, the involvement of parents is needed to play an active role in collaboration with school and community to help students to be actively participating in the learning process to increase students’ speaking achievement.
The Impact of Spelling-related Language Learning Strategies on Improving Dictation Abilities of Young Iranian EFL Learners, Teacher and Students Perspective

Generating a range of various functions, spelling and dictation have both been used as a technique to help improve language skills. Dictation is extensively different from spelling, although their similarities cannot be denied. The purpose of this study was to explore whether spelling-related language learning strategies affect dictation abilities of young Iranian EFL learners. After selecting thirty-five learners out of forty-six participants through an online Cambridge Key English Test (KET) during Covid-19 pandemic lockdowns, the experimental and control groups were randomly formed. Kristin-F Anderson’s questionnaire was implemented along with Kimura’s six-minute partial dictation test as pretest and posttest for the two groups. The treatment included teaching the same course book for both groups by means of a special program for the experimental group to be involved more in spelling- related learning activities. The findings through the independent-samples t-test, and repeated measures ANOVA run on the data collected in this study revealed that all null hypotheses were rejected and consequently the spelling strategies significantly affected the improvement of learners’ dictation ability.
Reading Difficulty Viewed from Its Indicators in the Junior High School

This research aimed to analyze students' reading difficulties in understanding the descriptive text. This research applied descriptive qualitative research. The objects in this research were students' difficulties in the learning process in reading instruction of descriptive text, especially in finding the main idea or central theme, locating specific information, determining textual reference, and getting the meaning of a word or phrase. Students' sources of difficulties derived from the preliminary test results in understanding different descriptive texts, especially the main idea or central theme, specific information, textual reference, and word or phrase referential meaning of descriptive texts of a person, an animal, and a procedure. The subjects of this research were the seven grade students, consisting of 22 students in a class, and documents of students' test results were from difficulties in understanding descriptive texts of a person, an animal, and a procedure. The data were collected in the forms of primary and secondary data. The instruments used by the researcher to collect the data were the researcher as the main instrument, a non-objective test or short answer test consisting of 30 short answer questions related to descriptive texts of a person, an animal, and a procedure, and a focused group interview guide. The obtained data were analyzed descriptively. The results of this research show that students had difficulties in reading three descriptive texts based on reading indicators such as deducing the main idea or central theme, locating specific information, textual reference, and getting a word or phrase meaning. The sources of reading difficulties were identified by the researcher in an interview session with 5 representative students, namely having a limited vocabulary, lack of reading interest, lack of background knowledge or absence of knowledge, and the complexity of words or sentences in the text.
PENINGKATAN LITERASI MEMBACA MELALUI MODEL PROBLEM SOLVING BERBANTUAN MAGIC SPIN BOARD

The research aims to determine the increase in reading literacy through a problem solving learning model assisted by magic spin board media. The research method used is classroom action research with the subject of 20 students from SD 2 Rejosari grade fourth. The study was conducted in two cycles and each cycle consisted of two meetings held on the theme of the senven cultural diversity of my country. The research stages consisted of planning, implementing the action, observing and reflecting. The results of the study showed that the average percentage of cycle 1 was 69.88% and cycle 2 was 80.33% which indicated an increase in each cycle. The research shows that there is an increase in reading literacy with the use of problem solving learning models assisted by magic spin board media.
INNOVATIVE APPROACHES TO STEM-EDUCATION IMPLEMENTATION ON HISTORY LESSONS

The article reveals important aspects of the introduction of the history of STEM technologies in the school curriculum as a means of implementing STEM education. The purpose of STEM education is to purposefully create links between school and social practices, between the educational process and the whole world in terms of developing the child's natural abilities, the level of which will determine his successful self-realization both in school and out of school. The student not only learns to generate interesting ideas, but also immediately implements them, learns to plan their activities based on the task and available resources, which will definitely be useful to him in real life. Based on the essence and purpose of STEM education, its implementation requires a radical change in existing programs and forms of education in the educational institution. It was found that the problem of STEM education in Ukrainian schools is broader than the modernization of teaching only natural sciences and mathematics, and is relevant to subjects of all fields without exception, including history. The information field on better understanding of the methodology of STEM education through innovative methods, tools and forms of organization of the educational process has been expanded: case studies, contextual learning technology; work with primary sources, texts in English, infographics, QR-codes, artistic images; integration with STEM disciplines. It is determined that common to this type of technology is an integrated approach to learning, which is based on establishing links between school subjects or school subjects and science, life, professions. The given examples of lessons prove the effectiveness of these tools in the development of competencies of students of the new Ukrainian school, namely: educational and informational; communicative (social); mastery of methods of analysis and critical thinking, ability to work with text; experience of decision-making, actions in a new situation, problem solving; skills of independent work and teamwork that are important in the future profession, in particular the STEM profession.
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation

Vision-and-language tasks are gaining popularity in the research community, but the focus is still mainly on English. We propose a pipeline that utilizes English-only vision-language models to train a monolingual model for a target language. We propose to extend OSCAR+, a model which leverages object tags as anchor points for learning image-text alignments, to train on visual question answering datasets in different languages. We propose a novel approach to knowledge distillation to train the model in other languages using parallel sentences. Compared to other models that use the target language in the pretraining corpora, we can leverage an existing English model to transfer the knowledge to the target language using significantly lesser resources. We also release a large-scale visual question answering dataset in Japanese and Hindi language. Though we restrict our work to visual question answering, our model can be extended to any sequence-level classification task, and it can be extended to other languages as well. This paper focuses on two languages for the visual question answering task - Japanese and Hindi. Our pipeline outperforms the current state-of-the-art models by a relative increase of 4.4% and 13.4% respectively in accuracy.
A new approach to arabic spam tweet detection in Twitter using machine learning algorithms

Artificial intelligence is involved in all aspects of life and with the development of social media, the methods used in sending spam have evolved and it becomes difficult to detect and control it manually. Therefore, due to the need to use artificial intelligence in language processing and the detection of propaganda messages by classifying posts and tweets that carry a disturbing message on Twitter in this study, We propose a new system to detect spam in Twitter for the Arabic language, based on the trend of hashtags, using artificial intelligence algorithms and extracting properties. It contains three data collection stages, image and text characteristics extraction, and classification stage based on combination of CNN algorithm and SVM algorithm. In addition to this search, annoying text and images, in addition to combining two classification algorithms. The classification accuracy is 98% and the results indicate the best compared to the rest of the models when tested after the testing process on four samples of the data collected from Twitter
THE PERCEIVED EFFECTS OF TEST-TAKING STRATEGIES INSTRUCTION ON EFL HIGH SCHOOL STUDENTS' MULTIPLE-CHOICE TESTS OF READING COMPREHENSION

This study aims to investigate whether the use of a text-taking strategy could enhance EFL high school learners' reading comprehension. It draws on the test-taking strategies suggested by Cohen and Upton (2007), to focus on the two main aspects, (1) the influence of applying test-taking strategies on EFL high school students’ reading comprehension tests and (2) their attitudes toward these strategies. In the pretest-posttest one-group design and descriptive quantitative research, the reading comprehension test and the questionnaire were used to collect the data of 90 EFL high school students in a school in rural Can Tho City. These students were assigned to apply test-taking strategies in a workshop every week in the second Semester of 2021-2022. The findings showed that (1) participating students’ reading comprehension scores improved after following the test-taking strategies after 07 weeks; and (2) students were positive about their being active in their testing practice despite certain challenges. As a result of such positive attitudes, they had high motivation for continuing their practice test-taking strategies for the future examination.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0953/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Improving Literal Comprehension Reading Ability through Think-Tac-Toe Learning Strategy in Students with Dyslexia

Dyslexia students generally experience problems related to reading comprehension skills, one of which is the ability to read literal comprehension. Based on the results of the assessment, one of the dyslexic students in an inclusive school has a low literacy reading ability. The purpose of this study was to examine the effectiveness of the think-tac-toe strategy in improving literacy reading comprehension of students with dyslexia. Subject selection is done with the ability of children with special needs and as a man who understands literal understanding. Using a single subject research design type A-B-A reversal design. Data were collected by observation and tests. Observations used to observe observations of students' literal understanding during the learning process. The oral test is done by asking the child to mention the answer to the question and the action test is done by asking the child to read the text and the answers on the worksheet given. Data analysis used visual graph analysis which consisted of analysis under conditions and analysis between conditions. The results of the study showed an increase in literal comprehension reading skills after the think-tac-toe learning strategy was applied. It is recommended to teachers that the think-tac-toe learning strategy be used as a new strategy model that is used to help students improve reading comprehension skills.
Law and policies related to works generated by artificial intelligence in Brazil and the European Union

Investments in sophisticated technologies have enabled the creation of Artificial Intelligence (AI) systems capable of reproducing the behaviour of the human brain, with the ability to learn, decide and even create intellectual works. This technological reality drew the attention of the European Parliament and the Council of the European Union (EU), which began to pressure the development of research on AI and Intellectual Property (IP), to identify the best legal solutions to the factual situation of works generated by non-human agents. Responding to this call of the Parliament, this monograph proposes to investigate the feasibility of protection of intellectual works generated by AI systems in Brazil and the EU, based on current legislation, jurisprudence, and doctrine. To this end, the monograph is based on the hypothetical-deductive method, starting from a comparative approach, and divided into three main parts. The first part is destined to present the fundamental notions of AI and copyright. After this introduction, the second part assesses whether works generated by AI systems qualify as intellectual property subject to copyright protection, based on the case study of the painting The Next Rembrandt, identifying the issues related to the attribution of rights to human and non-human agents involved in the creation process. Finally, the third part is destined to examine the legislative proposals and governmental solutions suggested in Brazil and in the EU on the matter. Based on the acknowledgement of the insufficiency of traditional provisions to protect works generated by AI systems, it is concluded that the European Intellectual Property Office's proposal for the elaboration of a sui generis system seems to be the most adequate solution to protect works generated by AI in Brazil and in the EU.
Augmented reality development with Android-based marker based tracking method on learning media

In this digital era, people are required to use technology in their daily life. Likewise in learning and teaching. The teaching and learning process will have a better quality if it is accompanied by technology used as a learning medium. Learning media is needed as an intermediary for teachers to minimize failure during the learning process. In addition, interesting and interactive learning media can help students absorb the material being taught, because in the learning process many students have difficulty understanding lessons with conventional methods. One technology that is currently popular and developing is Augmented Reality. Augmented Reality technology with marker base tracking method allows users to experience a virtual world that looks real with the help of additional tools. By using Augmented Reality as an alternative learning media, especially science material, it can become more interesting for students. Making this application is built using Unity 3D software.
PROMOTING SNIPS STRATEGY TO FOSTER STUDENTS READING COMPREHENSION AT SMP XAVERIUS 2 PALEMBANG

The SNIPS strategy offers simple steps of reading activity by formulating the previous knowledge, interesting things in a text to help students comprehend and conclude the text.The objective of the study was to find out whether or not there was any significant difference in students' reading comprehension of narrative text between the eighth grade students who were taught by using SNIPS strategy and those who were not.In conducting the study, the writer applied the experimental method by using quasi-experimental design.This design consisted of experimental and control groups.The VIII.B class became the control group and VIII.C became the experimental group.The two classes were chosen using purposive sampling technique and by considering they had the same level and problem of competency in learning English.Reading comprehension test was the instrument for collecting the data that was administered twice, the pre-test and post-test.The result showed that SNIPS strategy had a significant difference in the students' reading comprehension.Based on the independent sample t-test analysis, it was found that the significant level was 0.000<0.05.It indicated that there was any significant difference in students' reading comprehension in narrative text between the eighth grade students who were taught by using SNIPS strategy and those who were not.
Extraction Rules-Based Relational Data Mining for Power Project Management Ontology

Over the past few decades, power management systems have accumulated a large amount of structured power project data. How to make full use of these structured data to efficiently formulate new power projects has become an urgent problem to be solved. Ontology provides a feasible method for obtaining past power projects and querying project-related plan content. However, due to the extensive use of structured data in relational databases in power systems, the ontology construction of power project management is a challenging task. At present, most of the research mainly adopts manual methods or semiautomatic methods supervised by domain experts to construct the mapping between ontologies. In order to efficiently manage power projects and reduce repeated project establishment, this paper proposes an automatic extraction from the power project database to the ontology based on extraction rules. Experiments are carried out on the data in the power project database for some common methods. The results show that the method proposed in this paper has a good extraction effect and adaptability to the power project data.
From Cambridge to Pisa: A Journey into Cross-Lingual Dialogue Domain Adaptation for Conversational Agents

The widespread use of conversational and question answering systems made it necessary improve the performances of speaker intent detection and understanding of related semantic slots, i.e., Spoken Language Understanding (SLU).Often, these tasks are approached with supervised learning methods, which needs considerable labeled datasets.This paper 1 presents the first Italian dataset for SLU in voice assistants scenario.It is the product of a semi-automatic procedure and is used as a benchmark of various open source and commercial systems.