Reviewerly/exHarmony huggingface dataset:
Human Language Explanation for a Decision Making Agent via Automated Rationale Generation

Advances in reinforcement learning (RL) algorithms have made them become increasingly capable in many tasks in recent years.However, the vastmajority of RL algorithms are not readily interpretable off the shelf. Moreover, the task of generating explanations in the form of human language has not been sufficiently addressed for these RL algorithms in previous works. Human language explanations have the advantages of being easy to understand, and they can help increase the satisfaction experienced by the end user while using the product. In this paper, we propose a method for generating explanations in the form of free-text human language to help the end user better understand the behaviors of RL agents. Our work involves generating explanations for both single actions and sequences of actions. We also create an open dataset as a baseline for future research. Our proposed method is evaluated in two simulated environments: Pong and the Minimalistic Gridworld Environment (MiniGgrid). The results demonstrate that our models are able to consistently generate accurate rationales, which are highly correlated with the expert rationales. Hence, this work offers a solution for bridging the gap of trust encountered when employing RL agents in virtual world or real-world applications.
FORMATION IN FUTURE ELEMENTARY SCHOOL TEACHERS READINESS TO WORK WITH PARENTS OF STUDENTS USING COACHING TECHNIQUES

One of the components of a teacher's readiness for professional activity is his mastery of various educational and upbringing technologies. Coaching techniques develop the potential of people and teams on the basis of subjectivity, reveal the inner potential of the individual, contribute to the achievement of pre-agreed goals, self-generation of optimal ways and methods of achieving goals, self-assessment, monitoring and monitoring tasks, change behavior patterns, implement educational process. In terms of improving the preparation of future elementary school teachers in partnership with parents of primary school children, we pay attention to the use of coaching technologies in the work of teachers with parents and in vocational education. Coaching technology is new for future elementary school teachers, as it is practically not used in work with younger students. However, in working with parents of students, this technology is effective in terms of taking into account the peculiarities of interaction with adults who already have some life experience. The advantage of using coaching technology in working with parents of elementary school children is that it helps adult participants in the educational process to independently determine the goals of activities, quickly find ways to solve difficult situations in the upbringing and development of children based on their own experiences. The article reveals the components of the readiness of primary school teachers to work with parents of primary school children (value- motivational, cognitive, activity-operational and reflective) and gives examples of the use of coaching techniques (transformational conversation, "Cartesian questions"), case studies, R. Dilts ", method" SWOT ", techniques" What if? ") In teaching students of pedagogical specialties in order to achieve professionalism of teachers in further communication with participants in the educational process. Further research should be aimed at detailing the topics of educational and life situations that will inevitably arise in the pedagogical career of working with parents.
GENDER DIFFERENCES IN EMERGENT WRITING USING SALT TRAY: WHO IS SUPERIOR?

Abstract. This study aims to determine gender differences in writing ability initially using salt tray learning media in group A. Type of research used is pre-experimental research with the design design of one pre-test post-test group, which is an experiment carried out in one group without a comparison group. The results of the study there were significant differences, obtained a value of 0.000 &lt; 0.05. So it can be concluded that there is a gender difference between women who are more dominant than men in the ability to write initially using salt tray learning media in early childhood.Keywords: salt tray; writing competence; gender perspective; early childhood Abstrak. Penelitian ini bertujuan untuk mengetahui perbedaan gender pada kemampuan menulis awalnya menggunakan media pembelajaran baki garam pada anak usia dini. Jenis penelitian yang digunakan adalah penelitian pra-eksperimen dengan desain satu kelompok post-test pre-test, yaitu eksperimen yang dilakukan dalam satu kelompok saja tanpa adanya kelompok pembanding. Hasil penelitian terdapat perbedaan yang signifikan, diperoleh nilai 0,000 &lt; 0,05. Sehingga dapat disimpulkan bahwa terdapat perbedaan gender antara perempuan yang lebih dominan dibandingkan laki-laki dalam kemampuan menulis pada awalnya menggunakan media pembelajaran baki garam pada anak usia dini.Kata Kunci: kompetensi menulis; jenis kelamin; salt-tray
Design Dashboard Monitoring Teacher Performance Assessment at Cinta Kasih Tzu Chi High School

Teachers are one of the main components in the world of education where they have a role in improving the quality of education. Where the quality of this education can be seen from the quality of teachers, but the quality of teachers is not only determined by the way of teaching and learning in the classroom, therefore it is necessary to conduct an assessment of teacher performance to measure the duties and responsibilities and obligations of each teacher. So to make it easier to analyze data and see the quality of teachers, a dashboard is designed to monitor teacher performance assessments that have been set by Cinta Kasih Tzu Chi High School based on document studies and interviews with school principals. Dashboard is one solution to present data in the form of visualization which is considered to provide clarity of information to be conveyed. This dashboard design uses a user centric method to describe the end-user design process that influences how a design is formed by utilizing Google Data Studio which will present information based on key performance indicators in graphic form to make it more interactive and easy to understand.
Implementation of KNN Methods And GLCM Extraction For Classification Of Road Damage Level

Road damage that occurs on several road surfaces causes huge losses, especially for road users such as travel time, congestion, accidents and others , so it is necessary to assess the level of road damage. At this time, problems in determining the level of road damage such as detecting cracks, potholes, calculating the width of cracks, the percentage of cracks and generating the level of road damage are still carried out by slow manual calculations using the Surface method. Distress Index (SDI). In this study, the KNN and GLCM methods will be used to detect road damage. Based on the results of the tests carried out, the accuracy of the results of disease detection with the KNN method and GLCM extraction depends on the number of datasets contained in the system. The process of measuring the level of road damage to get the results of the level of damage to the road can be done quickly, namely by entering a road damage image into the application.
Pengembangan Materi Berbicara dengan Menggunakan Video pada Siswa Kelas 7 SMPN Satu Atap Gunungsari 04 Batu

The development of this video media is based on the fact that students' speaking skills are still less. Therefore, the researcher conducted this research to develop English learning videos as a resource to help students learn English and improve their speaking skills. The research method used by the researcher is research and development (R&amp;D) with the model developed by Borg and Gall. Data collection techniques in this research used questionnaires, observations, and interviews. The data that resulted were analyzed quantitatively and descriptively qualitatively. The results of this research are (1) the product development process that has been produced from this research and development is obtained through several processes, namely product made or design, design validation, design revision. (2) the level of validity of the learning media is 80%, thus the learning video is included in the valid/feasible category. (3) the product trial level regarding student responses to the learning video media that has been developed from the small group trial obtained a final result of 86 and the large group trial obtained the final result of 89.7 it is proven that all students are interested in the developed learning video media to improve their speaking skills and the video media developed in this study were successfully developed and used as learning media.
DISTANCE FORM OF LEARNING IN THE CLASS OF THE MAIN MUSICAL INSTRUMENT (PIANO)

Given the specification of music as the most abstract of the arts, and music disciplines as disciplines mostly practical, the possibility of inclusion or full transition of music students to distance learning in higher education seems problematic and ambiguous. The article is devoted to the specifics of teaching music students in the classroom of the main musical instrument (piano) in terms of distance learning in higher education. The author proposes to consider distance learning as an active way of carrying out cognitive activities, ie as a method of teaching music students. For all the shortcomings and imperfections of distance innovation, the positive aspects are highlighted, which will allow teachers to partially use the distance method to achieve certain learning objectives. The process of teaching music students in the classroom of the main musical instrument (piano) is based primarily on the individual approach of the teacher to the student. Professional growth, raising the performance level of each student depends on the system of rational pedagogical methods and teaching methods that the teacher uses throughout the educational process. Until recently, the use of a remote approach to learning to play the piano, which consists of conducting a lesson with the help of multimedia technologies, has hardly been used by practicing teachers. However, the emergency transition to distance learning, forces to adjust, adapt existing traditional methods, forms of learning in the classroom of the main musical instrument (piano) to new realities. In such a situation, the attention of teachers is often focused on distance learning as the only opportunity to carry out the educational process. On the one hand, not being habitual and natural, this form of learning to play an instrument becomes an educational organizational innovation. On the other hand, it can be considered as a method of learning, ie, an active way of carrying out cognitive activity. This method, in which telecommunications are a mandatory mediator in teacher-student interaction, requires serious study instruments (piano).
An overview of Hitachi’s new data management and analytical modeling platform for geochemistry and automated mineralogy data

The FAIR principles for scientific data require accessible data storage and retrieval systems that are global, accessible, and interoperable.Automated Mineralogy (AM) data has been particularly difficult to provide to end-users due to its complexity and size since it combines imaging and geochemical data to generate mineral maps, consisting of millions of spot analyses and hundreds of high-resolution images per sample.To address this, Hitachi has developed data management and analytical modeling platform for geochemistry that offers a modern purpose-built solution to handle large and complex automated mineralogy datasets with all associated data and metadata on a secure and scalable cloud infrastructure.This new scientific data infrastructure (SDI) is built around low-latency cloud processing hardware and multi-tiered modern data storage to empower fast and high-volume workflows.The key components are a full project and sample management system, data ingestion from various standard sources, structured storage architecture, pre-built dashboards, analytical tools, and a well-documented and published API interface.Analytical tools include sample management, business user-friendly visualization toolbox, rules-based lithotype classification, image processing, data aggregation engine, and a machine learning framework.The result is a value-adding SDI component for all stakeholders in the scientific data lifecycle to to derive value from advanced analytics and science-driven decision-making.Hitachi's Lumada Geochemistry Analytics SDI can be an important accelerator for public-private partnerships implementing the FAIR principles.Modern cloud processing and data storage allow for a small per-sample up-front cost, with lower setup and maintenance fees.Costs are incurred based on volume to process and store, not on retrieval frequency or volume, enabling .The system is designed for extensibility and modular readoption, allowing accelerated incorporation of new data models and community resources as add-on "apps" or dashboards or as external computation engines.We challenge the scientific community to adopt clear and applicable FAIR data tools that industry solutions can implement.For example, rich metadata standards around samples, specimens, and measurements make APIs more functional and widely useful.We strongly believe that academia, government, and industry can meet our global data analytics challenges together.
Journal of Economic Literature Codes Classification System (JEL)

The Journal of Economic Literature codes classification system (JEL) published by the American Economic Association (AEA) is the de facto standard classification system for research literature in economics. The JEL classification system is used to classify articles, dissertations, books, book reviews, and working papers in EconLit, a database maintained by the AEA. Over time, it has evolved and extended to a system with over 850 subclasses. This paper reviews the history and development of the JEL classification system, describes the current version, and provides a selective overview of its uses and applications in research. The JEL codes classification system has been adopted by several publishers, and their instructions are reviewed. There are interesting avenues for future research as the JEL classification system has been surprisingly little used in existing bibliometric and scientometric research as well as in library classification systems.
Gim Berbasis Open Source Software sebagai Media Pembelajaran Guru PAUD

Early childhood education teachers need to develop varied learning methods. Diverse learning methods can encourage students' interest in learning. The use of information technology is one of the methods and learning media that can be used. Teachers must be smart in choosing to use applications, so there needs to be the development of learning methods for early childhood teachers with open source licensed games. The use of open source applications can prevent teachers from abusing copyright. Based on the analysis of the existing problems, the team is of the view that it is necessary to socialize the use of games as a learning medium for PAUD teachers at Insan Permata Kindergarten, Malang City. This form of socialization is packaged in the form of an application use workshop that allows participants to learn directly. The form of the workshop is carried out using a ToT (Traning of Trainer) scheme. The findings of this workshop show that legality and cost aspects are actually a problem in the application of game applications. The price of educational computer games tends to be expensive. The use of computer games with open source licenses provides opportunities for variations in the applications used.
Corrections to “Blending Query Strategy of Active Learning for Imbalanced Data”

In the above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , the following corrections are necessary. <list list-type="ordered" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><list-item><label>1)</label> In Table 4, all notions of “MC-Drop-B” are corrected to “MC-Drop-BMP.” </list-item><list-item><label>2)</label> “Statistical significannces of all experiments are examined” is corrected to “Statistical significance of each experiments is examined.” </list-item><list-item><label>3)</label> In Appendix II-D, “Shapiro test” is correct to ‘Shapiro-Wilk test.” </list-item> </list> In addition, we would like to add the following acknowledgment: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">The authors appreciate the constructive discussions with Jaewon Lee (M.S. of KAIST), and the cooperation with researchers working on the project [Development and Study of AI Technologies to Inexpensively Conform to Evolving Policy on Ethics].</i>
DEVELOPMENT OF MIND MAPPING BASED POCKETBOOK AS A LEARNING MEDIA FOR ACCOUNTING SERVICES

The pocket book is small so it's practical. Students can use it to study anytime and anywhere. The concept of mind mapping presented with colour images can stimulate the brain's performance to make it easier to understand the material. This study aims to develop a mind mapping-based pocket book on accounting materials for service companies. The development model used is the 4D Thiagarajan model, which starts from the definition, design, development, and deployment stages. The validity test of six validators who are experts in their fields shows valid results. The material expert's assessment is in the very good category. The media expert's assessment got a fairly good category, and the linguist's assessment got a very good category. The practicality test involving 20 randomly selected respondents showed practical results. Based on the results of the assessment with predetermined criteria, it can be concluded that a pocket book based on mind mapping in service company accounting materials is said to be suitable for use as a learning medium. Keywords: Development Research; Learning Media; Pocket Book; Mind Mapping; Service Company Accounting
Study on Smoking and Telephone Behaviour Detection Based on Convolutional Neural Network

Smoking and making phone calls are common behaviors in life, but in some cases, these two behaviors are inappropriate and even bring serious harm to people and the environment. At present, these two methods are mainly detected by smoke alarm and signal detector. This paper mainly introduces how to judge these two behaviors by connecting the camera to the computer through computer vision and deep learning. The algorithm used in this paper is convolutional neural network. The content includes the process of data set processing, the introduction of the concept of convolutional neural network, the role of each layer of the model in this paper, and how the algorithm works. In addition, this paper connects the trained convolutional neural network model with the camera to detect people’s behavior in the camera in real time. This study first converts the images in the data set into many matrices of a certain size after a series of processing and divided these matrices into test set and training set. The video in the camera is converted into a picture stream and input into the trained model to achieve the effect of real-time detection. The results show that this algorithm has good accuracy. It is feasible to detect people’s smoking and telephone behavior in this way.
PELATIHAN MEDIA PEMBELAJARAN BERBASIS VIRTUAL/DIGITAL SEBAGAI PENINGKATAN KOMPETENSI DOSEN

Training on the use of digital-based learning media aims to provide additional competence to lecturers in making new technology-based media. Subject service is a lecturer at the Faculty of Tarbiyah and Teacher Training UIN Alauddin Makassar as many as 12 participants with representatives from several study programs in the Faculty of Tarbiyah and Teacher Training UIN Alauddin. The data collection instrument uses a questionnaire that is distributed through a google form. As many as 75% of participants felt that this training was "very appropriate" and 25% "fit" the needs of the participants. In terms of material coverage, 58.3% of participants chose the "very covering" category and another 41.7% in the "covers" category. Trainees have an understanding of the "very understanding" and "understanding" categories as well as the usefulness of the training material with 83.3% "very useful" and 16.7% in the category of "useful". The results of the survey showed the high needs and how far the applications obtained by the trainees in improving their competence as lecturers. This training is expected to be able to become a reference for lecturers in producing outputs in the form of more up-to-date learning media so as to improve learning.
Design of Anti Machine Learning Malicious Node System Based on Blockchain

In order to solve the problem of security and privacy in machine learning, researchers have proposed many distributed solutions to protect data security and privacy, but the problem of anti malicious nodes in distributed machine learning system is still an open problem. Most of the existing distributed learning schemes solve the problem of malicious nodes by adding a disciplinary mechanism to the protocol. This method is based on two assumptions: 1. Participants give up the assumption of malicious behavior to maximize their own interests, and the calculation results can be verified only after the event occurs, which is not suitable for some scenarios requiring immediate verification; 2. Based on the assumption of a trusted third party, however, in practice, the credibility of the third party cannot be fully guaranteed. Using the trust mechanism of blockchain, this paper proposes an anti malicious node scheme based on smart contract, which realizes the whole process of model training in machine learning through smart contract to ensure that the machine learning model is not damaged by malicious nodes. This scheme takes the distributed model based on secure multi-party computing as the research model, stores the data involved in machine learning in the blockchain system, uses the smart contract of the blockchain to realize the data sharing, verification and training process, and writes the training results into the blockchain, so that the authorized users can aggregate the final model by obtaining the calculation results of each participant, Through experiments, compared with the traditional distributed machine learning model based on secure multi-party computing, and showed the advantages of this scheme.
Pemerolehan Bahasa Anak Usia Satu Sampai Tiga Tahun Desa Bangun Rejo Kabupaten Kutai Kartanegara

This reseach discusses the language acquisition of children aged one to three years in terms of phonological and syntactic acquisition. This study aims to describe the stage of language acquisition for children aged one to three years in phonological and syntactic aspects in Bangun Rejo village, Tenggarong Seberang District. Systematic, factual, and accurate. The collection techniques used were observation techniques, interview techniques, and note-taking techniques.Data analisys techniques used by researchers are data reduction techniques, data presentation, and drawing conclusions. The result of reseach on the phonological aspect show that children aged one to three years are able to pronounce vowel sounds [a], [i], [u], [e] and [o]. The consonants that can be pronounced range from seven to fourteen consonants. However, at this age period, children have not been able topronounce the consonant [r] and the pronounciation tends to be replaced by the consonant [l],[w], and [y].In the syntactic aspect, children aged one to three years are gradually able to pronounce one-word utterances, and a series of words which are then formed into declarative, interrogative, and imperative sentences.