Reviewerly/exHarmony huggingface dataset:
Development of Physics E-Learning with Articulate Storyline Application to Improve Science Process Skills

This research aims to develop physics e-learning with articulate storyline applications to improve science process skills. Researchis research and development. Development methods are 4D models with stages of define, design, development, and dissemination. The object of research is problem-based physics e-learning media with articulate storyline applications on straight-motion material. The test subjects were 20 students of grade X SMAN 1 Sikur. Data analysis techniques use qualitative and quantitative data analysis. The results of the study can be concluded that physics e-learning products with articulate storyline applications on straight-motion material are categorized as valid with an average score of 3.58, and physics e-learning is quite effective to be used to improve students' science process skills with a percentage of N-gain 58.13% with sufficient criteria effective
Mathematical Concept Exploration Using Turiyam Cognition

Recent time Turiyam set is considered as one of the prominent tool to explore unknown or undefined objects. The elementary school is one of the suitable examples where child explore each of the unknown objects. In this stage the child develop its Turiyam cognition based on its consciousness. It can be characterized as true learning (t), false learning, (f), uncertain learning (i) and last liberal or unknown or not required at this stage which can be explored later (l). The child refused to learn any topic can be found via 4-(t+i+f+l) in case of four independent events otherwise 1-(t+i+f+l) in case of dependent events. These unknown or liberal examples which include child quantum cognition need Turiyam logic. This paper tried to explore those concepts and examples in this paper.
Deep Learning

Offering a variety of connectionist models that are representative of the state-of-the-art, this textbook provides a succinct, accessible, and interesting first introduction to deep learning. The work takes a user-friendly approach to examining today's top algorithms and architectures, walking readers through the arithmetic behind each concept as it is introduced. Convolutional networks, long short-term memories, word2vec, random bit networks, decision-based networks, neural Turing machines, memory networks, autoencoders, and more are all discussed. The book is filled with functional Python code examples, and the code is also available for download on a companion website.
Lexical Calque as a Secondary Term-formation Method Framing Cognition in the Target Language

Translating texts from one language into another involves the use of different translation techniques. One particularly interesting technique is ‘lexical calque’ which consists in the creation in the target language of a new expression based on a literal translation of a source language expression to introduce a new concept into the target language. This process involves secondary term-formation which entails cognitive, lexical, and cultural implications for the target language and its users. Therefore, calques frame the way target language users conceptualize the concepts they denote. This study explores the nature of lexical calques resulting from English-Arabic translation with the aim of (a) identifying the lexical, cultural and cognitive implications of English-based lexical calques for Modern Standard Arabic and its users and (b) identifying the views of native users of Arabic over the cognitive impact of lexical calques as loan translations in modern Arabic. The study is based on two types of primary data: (a) data collected from authentic journalistic texts representing different domains, contexts and text types and (b) data collected from native users of Arabic in the form of feedback over their reactions towards calques in Arabic. The study findings indicate that lexical calque is a productive method of word-creation, but has a strong power for framing the cognition of target language users.
Cauchy distribution with Cuckoo search algorithms for solving job shop scheduling Problem

This research applies the Cuckoo Search Algorithm, specifically the Original Cuckoo Search(CS), Improved Cuckoo Search(ICS), and Global Feedback cuckoo search(GFCS) with different values of parameters instead of using a fixed value of probability a banda (Pa) which equal to 0.25 by another researcher to solve the problem of Job Shop Scheduling. The goal is to modify the method to improve its effectiveness and total completion time (Makespan) using benchmark datasets for basic scheduling problems, and suggest using the Cauchy distribution, with its ability to generate random numbers from distant points, and the stronger perturbation ability of Cauchy variation compared to Gaussian variation, along with Levy flight, effectively prevent the cuckoo algorithm from falling into local optima. Notably, when the step size is 0.1 and Pa is 0.1, with a population of 10 and 100 iterations, GFCS obtains the ideal Makespan of 140 when applied to the (20x20) set. Also, the Cauchy distribution for the CS produces the best results compared levy distribution that increases the variety of the nests, enabling escape from regional extreme values and fostering global search.
Identifying problems encountered by Thai students in reading classes of English as a Foreign Language

The purpose of this research were 1). To investigate the scores correlation from the self-assessment with the high lecturer’s summative test. 2). To guide also solve the Thai students problem of reading also listening barriers. 3). The effective self-assessment also teacher’s feedback as one of their guidance to improve their reading also listening ability. Research samples were taking from some Cambodian, Vietnamese, Myanmar, Laos, Chinese and Thai Students. At this time mainly the research was concentrate with the Thai students at Rajamanggala University of Technology Wangklaikangwon Campus. As we know exactly their language uses their own characters in writing words which are completely different from Roman Alphabets. They also apply different phonological system. This certainly causes problems for Thai students to learn English, particularly in reading aloud and listening comprehension. This research focused in reading classes in Rajamangala University of Technology Rattanakosin, Thailand and aimed at identifying problems in reading aloud encountered by the students and how self- assessment is conducted and feedbacks may be delivered. Data were derived from the students self- assessment of reading in which they were assigned to record their reading aloud. In this line, a phonetic transcription of some key words from the recorded texts were made and used in the self-assessment. Further, this data were compared to that of teacher’s summative test. In comparing the data from both measurement, Pearson Product Moment was applied to see the correlation.
DEVELOPMENT OF GAMIFICATION-BASED DIGITAL FLIPBOOK MEDIA ON IPAS MATERIAL (STUDY ON GRADE IV ELEMENTARY SCHOOL)

The purpose of this research and development is to produce media products that are valid, complete, practical, and attractive. This research was tested at SD Negeri Balearjosari 1 guided by the ADDIE model to develop digital flipbook media. The data collection techniques used to develop batumema multimedia are tests, observation, documentation, interviews, and questionnaires. The results of this study are in the form of digital flipbook media by utilizing technological developments based on gamification, the media developed can be said to be valid, complete, practical, and interesting, this is evident from the results of data analysis, namely (1) the results of media validation with a total score of 49 with a percentage calculation obtaining 87.5% including the criteria "Very Valid". The results of the material validation obtained a total score of 39 with a percentage calculation obtained 88.63% including the criteria for "Very Valid" material. (2) the results of the calculation that at the first meeting got a percentage of 81.25% while at the second meeting got a percentage of 87.50%. These results have increased in the results of working on student evaluation questions. (3) The calculation results can be known the level of practicality based on the assessment given by the teacher obtained a score of 30 with a percentage of 93%, percentage is included in the "Very Practical" category (4) The attractiveness of digital flipbook media is obtained from filling out a user response questionnaire. Referring to the data that has been obtained, regarding the results of user responses given by student assessments, the total percentage obtained is 86.75%, and the total percentage obtained is in the "Very Good / Very Interesting category. Digital flipbook media on the theme of Indonesia Rich in Culture needs to be developed even better. as for suggestions that need to be considered, the media display should be made more attractive.
STEM-AR Based Ecology and Biodiversity E-book Development for Increasing Students' Scientific Reasoning

This research aims to developing STEM-AR-based e-book teaching materials to improve students' scientific reasoning in ecology and biodiversity materials. The development of this research is important as a parameter of 21st-century abilities, which require students to have 4C abilities to face the education era of 4.0. This research method uses Research and Development (R&amp;D). The R&amp;D design chosen was Thiagarajan design consisting of four stages (Define, Design, Develop, and Disseminate) (Thiagarajan, 1974). Class VII students (N = 42) were involved as research subjects who were taken by the purposive sampling technique. Data collection was carried out through scientific reasoning tests, student response questionnaires, and observation sheets. Data processing techniques used paired sample T-tests and then performed the N-gain test. The results of the analysis show that after using the STEM-AR-based e-book, there is an increase in scientific reasoning ability, with an N-Gain value of 63% in the medium category. Testing the effectiveness of teaching materials using the SPSS paired sample t-test showed a result of 0.001, which means that STEM-AR-based teaching materials affect students' scientific reasoning. The descriptive average of scientific reasoning has increased by 40%. In addition, students gave positive responses to teaching materials, which made it easier to understand the material
Cognitive Linguistic Implications of Gender Conflict Hate Speech

The purpose of this study is to identify the cognitive linguistic meaning of sexist hate speech. Hate speech is speech that is discriminatory, hateful, or incites discrimination, hostility, or violence against a person or group of people. Hateful expressions referring to women and men have increased rapidly since 2012, when problems related to communities such as Daily Best, Warmad, and Megalia emerged, and gender hateful expressions such as kimchi girl, miso girl, mamchung, hannamchung, and gazer have increased. This phenomenon is explained by the emotion cognition model and the issue interest cycle model, and hate speech occurs under the premise of both models. The results showed that the metaphor and metonymy mechanisms were applied. We found that metaphorical words were mainly compared to animals or objects, and metonymy and metaphor were combined or re-metaphorized. Metaphorical words were characterized by the substitution of the whole for the part, as opposed to metonymy, in which the part takes the place of the whole, or the whole takes the place of the part. The intention of the words was to demean both men and women by referring to their behavior in certain situations or by using certain body parts.
ANALYZING TRANSLATION STRATEGY OF ONLINE MEDIA’S NEWS CONTENT USING SKOPOS PERSPECTIVE

This research will answer the question and correlate it with the term of translation, especially through Indonesian to English. Using Skopos theory perspective, the researcher is able to analyze several functions and translation strategies that are used in translating the content of the news articles. Vermeer's Skopos theory has three important rules, namely the Skopos rule, the Coherence rule, and the Fidelity rule. Skopos theory will also bridge the choice of Bielsa's and Bassnett's translation strategies that are suitable for use in the English version of the Antaranews article. This research method is of the library research type, starting with the collection of 11 news articles from Antara in Indonesian and English, respectively. The Indonesian articles became the subject of source language research, while the English ones became the subject of target language research. Then each article was examined carefully, sentence by sentence in order to discover which translation strategy Bielsa and Bassnet models were used. To determine the translation strategy, the researcher integrates the Skopos theory which serves as an indicator of determination in the target language. Based on the research, it was found that Antara's news articles have implemented five kinds of translation strategies, namely: Changing Title and Lead, Removing Unnecessary Information, Adding Important Background Information, Changing the Order of Paragraphs, and Summarizing Information. The findings in the form of translation strategies that can be determined using Skopos theory in this study are expected to help research related to the world of translation at large.
Object Tracking Menggunakan Algoritma You Only Look Once (YOLO)v8 untuk Menghitung Kendaraan

Vehicles are a means of transportation that have existed from ancient times until now, many people use vehicles such as cars and motorbikes. Enumeration of types and numbers of vehicles is carried out to collect traffic data information. In obtaining data parameters for the number of vehicles, manual calculations are usually prone to errors and take a lot of time and energy. The application of Artificial Intelligence such as object detection is a field of computer vision. In intelligent transportation systems, traffic data is the key to conducting research and designing a system. To overcome the problem, researchers carried out object tracking using the You Only Look Once (YOLO) v8 algorithm to detect the type and count the number of vehicles. The methodology applied is the AI Project Cycle stages which use problem scoping, data acquisition, data exploration, modeling, and confusion matrix evaluation. The results of the confusion matrix evaluation obtained an accuracy level of 89%, precision of 89%, recall of 90% and a weighted comparison of precision and recall obtained an F1-Score value of 89%. Thus, the You Only Look Once (YOLO) v8 algorithm is accurate enough to detect object tracking to calculate vehicles.
The Practical Practice of Book Review Writing Education for College Students: To Establish the Theory of Writing a Book Review

This study aims to confirm the perception of college freshmen on book review writing and to design and apply book review writing education based on it. Book review writing is an essential writing required for all college students as a reading activity that is the foundation for cultivating learners' critical and analytical thinking. Even considering this, the establishment of the book review writing teaching theory is very urgent, and a book review writing curriculum that maximizes the unique identity of book reviews should be prepared. In addition, it is necessary to develop various investigative strategies that enrich the contents of book reviews, and to prepare an environment in which learners can develop an eye for good book reviews and write good book reviews. It is hoped that this study will contribute to the establishment of a system of book review writing teaching methods.
Analyzing and Reflecting on Generational Issue Changes in K-POP Idol Groups: Focusing on News Big Data

This study aims to identify the major issues in the news big data related to generational idols formed by the growth and development of idols amid the current global spread of K-pop, and to suggest ways to strengthen the competitiveness of the Korean music industry by identifying the major issues that are being formed through the media for each generation of K-pop idols and how they have changed. For this purpose, news big data LDA technique was used as a topic modeling analysis method for 55,660 cases, and as a result of the topic modeling analysis, common issue types of six dimensions were derived. The main issue types are activity dimension, marketing dimension, global dimension, social contribution dimension, dispute dimension, and fandom dimension, and policy, industrial, and academic implications are proposed based on the results of this study.
A Study on the Issues and Tasks of Liberal Arts Korean Language Education For English Track International Students in Korean Universities

The purpose of this study is to examine the characteristics of English track international students and the issues and tasks of Korean language education for them, and to present directions. A survey on the needs of English track international student at D-University in Busan and interviews with related administrative and Korean language education experts were conducted. The questionnaire included the current status and satisfaction of Korean language classes, composition, and direction of education. English track international students are not essential to learn Korean because the admission criteria and major teaching language are English, and the purpose of learning was to adapt to Korean and college life. Interest in Korean classes was high, but satisfaction was moderate. Speaking and writing, vocabulary and grammar were selected as areas to learn, and topics related to real life and college life were preferred. There was also an opinion that modern culture, social studies and economics, and employment subjects should be opened as English track liberal arts. Although the number of participants is limited, this study is meaningful in that it examines the characteristics and curriculum of English track international students that will increase in the future and discusses issues and tasks.
A Study on Media Use and Media Education of Elementary School Students: Focusing on Students in Forth, Fifth and Sixth Grade of Elementary School

This study examined the perceptions and attitudes of elementary school students in Korea facing a generative artificial intelligence environment in the digital media environment. At the level of the national curriculum in Korea, this study looked at the current status of software education encountered by elementary school students, and analyzed surveys on smartphone use, YouTube and online/mobile games for 4th, 5th, and 6th graders. As a result of the study, there was more time spending to watch YouTube related to non-learning than learning, and the trust in the information encountered on YouTube was high. As a result of a survey on media education experience, the proportion of students who received “education on how to distinguish whether information provided online is true or not” was lower than that of other media education. Therefore, the ability to understand and evaluate the media does not arise by itself as time increases, and it requires a critical perspective and conscious effort to acquire and use information. Finally, it is important to raise awareness of the education students received.
Research Trends of ‘Conversation Analysis’

The purpose of this study is to analyze the trends in ‘conversation analysis’ research published domestically. A total of 459 relevant papers published from 2002 to July 2023 were collected and analyzed through the Korean Citation Index. First, the size of the published papers and the distribution of the journals in which the papers were published, as well as the academic fields to which the journals belong, were analyzed. Then, the characteristics of the citing papers that used these papers as references were identified, in order to analyze the academic influence. The significance of this study lies in not only comprehensively understanding the overall trends in domestic ‘conversation analysis’ research but also analyzing citation patterns that have not been examined in previous studies to determine the academic influence of these research papers.
A Case Study of Online Intensive TOEIC Program with Student Response System

The purpose of this study is to investigate the effects of the online TOEIC intensive program at a junior college on improving TOEIC scores and students’ perceptions on the program. A total of 100 hours of TOEIC classes were delivered via Zoom for four weeks while online learning tools such as Kahoot! and Quizlet were utilized to maximize the student response system. After taking the online TOEIC intensive program, students' TOEIC scores greatly improved by 107 points, and in particular, the improvement of the RC scores was statistically significant. In addition, it was found that participation in the student response system, such as Quizlets and Kahoot!, was related to the improvement of TOEIC scores. The survey results revealed that students’ perceptions on the Zoom TOEIC program and the use of online student response system were highly positive. Based on this result, some pedagogical implications regarding college English programs were discussed.
Gwangju's Overseas Chinese Food Culture and Metaverse-based Virtual Museum

The purpose of this study is to present a case of a metaverse-based virtual museum based on local history and cultural content. Metaverse type museums have emerged as new platforms for exhibition and communication, especially after COVID-19. However, most of them have been limited to transferring offline exhibitions to the online space or showcasing institutional collections. In this study, we analyze a case that involves creating history and food culture content related to the overseas Chinese community in Gwangju and implementing it in the Gwangju Overseas Chinese Elementary School. In conclusion, it can bring positive effects such as local cultural archiving and multi-cultural education. However, it also points out the limitations in terms of personalization and sharing, which have not yet reached a satisfactory level.
Analysis of Research Trends in Multimodal Literacy Education using Topic Modeling: Exploring The Need for Critical Thinking Education

The purpose of this study is to examine research related to critical thinking in multimodal literacy education by analyzing research trends in multimodal literacy education. To this goal, we examined the quantitative change trends in 308 studies by publication period and then analyzed research trends using Topic Modeling. Domestic multimodal literacy education research has been published since 1990, and discussions began in earnest in 2005. In particular, a quantitative increase in research was confirmed in 2009, 2013, 2016, and 2021. For the Topic Model, a model consisting of four topics was selected by combining quantitative indicators and qualitative techniques, and was categorized into the areas of 'media education', 'educational content and area', 'curriculum', and 'teaching and learning materials'. did. Meanwhile, research related to critical thinking, which is emphasized in multimodal literacy education, is quantitatively very small, and it is hoped that this study will be used as basic data for related research.