Reviewerly/exHarmony huggingface dataset:
An Analysis on the Need of Teacher-Parent for Student Evaluation Information

Teachers and parents collaborate to support student growth, and that requires good communication. Student assessments are of great interest to both teachers and parents because they are a source of valuable information about how students are growing and how they can improve. In this context, the the purpose of this study is to compare the degree to which teachers and parents demand what information middle schools should provide to parents in relation to student evaluation. By the comparision, we hope to gain insights on what schools need to improve for communication with parents in the future. This study developed 8 categories of information generated from student evaluation, which cosists of 'student strengths and weaknesses by subject', 'psychological achievement level', 'academic achievement level' and 'performance evaluation criteria', 'degree of improvement compared to the past', 'core competency', 'how to improve the level of achievement', and 'explanation and correction of task performance'. A survey on middle school teachers and parents belonging to K-province in Korea was administrated on the importance and execution level of the 8 areas and a Borich coefficient was developed and The Locus for Focus analysis was performed. As results, teachers and parents showed the highest demand for 'strengths and weaknesses of students by subject' and the lowest demand for ‘performance evaluation criteria’ and ‘academic achievement level’. While teachers showed relatively higher demand for 'psychological achievement level' and 'degree of improvement compared to the past', parents have higher demand on 'explanation and correction of task performance' and 'how to improve the level of achievement'. The meaning of the differences between teachers and parents were discussed.
A Case Study on Scaffolding to Support a Low-Achieving High School Student’s Quadratic Function Learning

In this study, we identified a mathematics teacher’s scaffolding strategies to support a low-achieving high school students’ quadratic function learning and explored the characteristics of scaffolding used by the teacher from analytic and affective perspectives. From analytic perspective, the characteristics of scaffolding used by the teacher are as follows. First, direction setting and demonstration were used together as the main strategies of analytic scaffolding in early interactions. Second, the direction setting strategy was used to support the development of procedural fluency related to quadratic function learning. Third, by providing feedback in response to the learner's mathematical errors, the learner was able to detect his errors and correct wrong knowledge structures, and for this purpose, various affective scaffolding strategies were used together. From affective perspective, the characteristics of scaffolding used by the teacher are as follows. First, recruitment strategies were continuously used to promote the participation of the low-achieving student in mathematics learning. Second, frustration control strategies were used to minimize potential frustrations experienced by the low-achieving student. Third, it responded to the learner's partial success experience and provided social reinforcement such as recognition and praise along with feedback. As a result of learning process analysis and task-based interview conducted to find out the effect of teacher scaffolding on quadratic function learning of low-achieving student, it was confirmed that some knowledge related to quadratic function were handed over in scaffolding. From the results of the study, implications related to scaffolding for low-achieving students were discussed, and follow-up studies were proposed.
Case Morphemes in Korean: Their Morphosyntactic Implications

I will show that nominal expressions with a structural case morpheme in Korean have syntactic and morphological properties distinct from those with a semantic case morpheme as adduced in constructions involving floated quantifier, case drop on the clefts, binding condition C and Weak crossover. I claim that structural case morphemes are affixes, whereas semantic case morphemes are clitics, namely, syntactically independent words that belong to the syntactic category of postposition. It follows that nominal expressions with a semantic case morpheme are PPs whereas those with a structural case morpheme are NPs. The present thesis crucially diverges from Cho and Sells (1995), according to which case morphemes are affixes in Korean across the board, there being no independently identifiable category of postposition. I will discuss potential argument against the present proposal involving so-called genitive case marking construction in Korean, which, however, turns out to support the present thesis.
Developing Standards and Indicators of Information Literacy for Mathematics

Information literacy is a fundamental and essential competency to live as a citizen, who is an independent and self-directed learner, in the future society. This study, as a follow-up to Kim and Kim’s research (2022a, 2022b), explores the components of information literacy for mathematics, and develops standards and indicators of literacy. Through three rounds of modified Delphi surveys and FGI, the standards and indicators of information literacy for mathematics were stabilized, and the application to practices in schools was explored. As a result, Standards 1 through 4 of information literacy for mathematics consisted of ‘cognitive thinking skills’ and ‘using physical and symbol tools’ in the personal cognitive domain, and Standard 5 was set as ‘social communication competency’ and ‘social awareness and practice competency’ in the social domain. Sixteen indicators were presented under the corresponding standards, and the relationship between competencies and standards of information literacy in mathematics was specified. This study emphasizes the key competencies of information literacy in mathematics education that are necessary for preparing individuals for future society and provides the foundation to cultivate it in school mathematics.
University as a game without rules (new views on the process of building higher education)

Modern higher education is in dire need of new working tools and processes for its implementation. The structure of student involvement in educational activities also needs to be built in a fundamentally new way. This determines the relevance of this study. During the analysis carried out in the study, it was found that the university contains all the basic elements of a multiplayer game. Instructional designers can better engage students in learning by thinking of it as a game. However, the game has a flaw due to the fact that the game simulator cannot predict the future. In this regard, the purpose of our study is to try to eliminate the identified shortcomings. The article examines the structure of the game, as well as the process of building a new university model based on this concept, capable of responding to the challenges of the time. The ideal modern university as a personalized multiplayer game is the most effective model in this study. It builds communications between the player (learner) and the game, and the use of artificial intelligence (AI) helps in this. This interaction between them can lead to a constant change in the situation, and the unpredictability of artificial intelligence reactions will likely help solve the problem of the absence of situations that were previously thought out by developers and their resolution.
INDIVIDUALIZED GUIDANCE TO EMPOWER AN L2 LEARNER WITH AUTISM SPECTRUM DISORDER IN ACADEMIC ESSAY WRITING

The present study was conducted to see the extent to which intensive online individualized guidance sessions could help a second/foreign language (L2) learner of English with autism spectrum disorder (ASD) at an undergraduate level to write an academic essay in the education field with citations and references. The sessions, 30 minutes each, were conducted 14 times in total during the second semester of the 2020/2021 academic year. Teaching journal detailing the participant’s learning dynamic in each session, the participant’s ongoing writing progress, and the recorded videos of the sessions were used to assess this learner participant’s learning progress. The study found that through the individualized guidance sessions, the learner participant could write a 326-word academic essay with citations using three journal articles in the Indonesian language as the references. It also found that as the participant became more familiar with the pattern of the sessions and the expectation of what to do in each session, he could do his task faster and more confidently. Based on the findings, several pedagogical implications and possible research contributions are stated along with suggested directions for future studies in the field of autism in the L2 learning context.
Development of Web-mediated Audio-Visual Listening Book to Boost the Understanding of Implicatures in the TOEFL Short Dialogues

Purpose of the Study: Understanding implicatures in TOEFL Short Dialogues is difficult. It is essential to develop web-based media to boost implicature understanding. This current study aimed at testing the implicature inference-making ability of English teachers, identifying the factors that affect listening difficulties and developing web-mediated audio-visual books for the TOEFL.&#x0D; Methodology: This is a three-phase R &amp; D model: 1) ‘Research Phase’ (Testing the English teachers listening ability; Examining factors affecting implicatures understanding; and Profiling the English teachers listening abilities); 2) ‘Development Phase’ (Constructing the test instrument; Formulating Learning Objectives; Selecting Audio-visual materials, Designing the web-mediated audio-visual book; Validating and revising the book) and ‘Production Phase’ (Dissemination and Mass Production).&#x0D; Main Finding: The products of the ‘Research phase’: 1) Listening ability, 2) Factors affecting listening, 3) Profile of the English teachers’ pragmatic ability. There are five primary causes of difficulty, ‘Speech Rate Delivery,’ ‘Voice,’ ‘Sentence Complexity,’ ‘Mishearing,’ and ‘Colloquial.’ The product of the ‘Development Phase’ is a ‘Web-based audiovisual book for the TOEFL Short Dialogues.’ All lessons are aided with online links to audio and videos. Finally, the product of ‘Production Phase’ is a massed published book.&#x0D; Novelty/Originality of the Study: No single study has ever been reported that focused on developing a web-mediated audio-visual listening book to boost the understanding of implicatures in the TOEFL Short Dialogues.
Trustful Test Suites for Natural Language Processing

Machine Translation (MT) research has witnessed continuous growth, accompanied by an increasing demand for automated error detection and correction in textual content. In response, Unbabel has developed a hybrid approach that combines machine translation with human editors in post-edition (PE) to provide high-quality translations. To facilitate the tasks of post-editors, Unbabel has created a proprietary error detection tool named Smartcheck, designed to identify errors and provide correction suggestions. Traditionally, the evaluation of translation errors relies on carefully curated annotated texts, categorized based on error types, which serve as the evaluation standard or Test Suites for assessing the accuracy of machine translation systems. However, it is crucial to consider that the effectiveness of evaluation sets can significantly impact the outcomes of evaluations. In fact, if evaluation sets do not accurately represent the content or possess inherent flaws, the decisions made based on such evaluations may inadvertently yield undesired effects. Hence, it is of utmost importance to employ suitable datasets containing representative data of the structures needed for each system, including Smartcheck. In this paper we present the methodology that has been developed and implemented to create reliable and revised Test Suites specifically designed for the evaluation process of MT systems and error detection tools. By using these meticulously curated Test Suites to evaluate proprietary systems and tools, we can ensure the trustworthiness of the conclusions and decisions derived from the evaluations. This methodology accomplished robust identification of problematic error types, grammar-checking rules, and language- and/or register-specific issues, leading to the adoption of effective production measures. With the integration of Smartcheck’s reliable and accurate correction suggestions and the improvements made to the post-edition revision process, the work presented herein led to a noticeable improvement in the translation quality delivered to customers.
Pengembangan Bahan Pembelajaran E-Modul Dasar Perakitan Komputer dalam Mata Pelajaran Informatika

This research is motivated by efforts to develop learning materials to make them more interesting, easy to understand, and efficient, especially in learning Informatics which is known based on observations at SMK N 1 Blora. Seeing these conditions, it is necessary to strive for the use of learning media to foster student interest and make it easier for students to understand basic computer assembly learning. The media used is E-Learning Module. The purpose of this study is to describe the results of the application of E-Modules in basic learning of computer assembly in class X DKV3 SMK N 1 Blora. The approach used in this research is a qualitative descriptive approach. Sources of data obtained from learning outcomes using E-Modules as teaching materials for students of class X DKV3 SMK N 1 Blora for the academic year 2021/2022. Collecting data in the form of test and non-test results, with the aim of knowing student learning outcomes using E-Module learning media. The technique of presenting the results of data analysis is carried out qualitatively, namely the results of the research are presented by describing the state of the class when carrying out research and the authors analyze and describe the application of E-Modules as a learning medium for students of class X DKV3 SMK N 1 Blora in the 2021/2022 school year. The use of pictures, animations, and videos in the learning process can stimulate students to be more interested and creative so that it helps students more easily understand the learning material provided. The application data from the learning E-Module media obtained an average value of 85.4, the highest score was 93.5 and the lowest score was 72.5.
Kerja Sama Perpustakaan Berbasis Digital: Membangun Akses dan Kolaborasi untuk Pendidikan dan Inovasi

This study discusses forms of cooperation between domestic libraries and foreign libraries that aim to exchange information and expand collection materials and improve collection services to users so that the insights of visitors who come and access libraries that have collaborated are broader and gain a lot of experience. Methods of data collection using literature (print and non-print). The data obtained is then arranged or classified, analyzed, and interpreted. The results of the study concluded: 1) The forms of library collaboration that can be carried out are: (a) sharing digital collections through a platform that can be accessed by all libraries involved in the collaboration, (b) collaboration in creating and managing joint databases to expand reach and enriching library collections, as well as facilitating access for users to find the information needed, (c) library cooperation in the development of digital technology and infrastructure. 2) The steps for building digital-based library collaboration are as follows: (a) identify libraries that wish to work together, (b) determine the goals and benefits of collaboration, (c) form a work team, (d) discuss and determine standards, (e) infrastructure and system development, (f) collection development and management, (g) monitoring and evaluation.
Analisis Model Peningkatan Mutu Pendidikan melalui Pembelajaran Berbasis Online

Online-based learning at SDIT Al Mukhlisin has not been able to improve the quality of education and to describe the model of improving the quality of education through online-based learning at SDIT Al Mukhlisin, the research method used is qualitative, the results show that online-based learning in terms of improving the quality of education is only limited to What Group Apps. Resources cannot be increased through online-based learning at SDIT Al Muklisin due to the limited use of the Integrated Quality Management and Management information system application at SDIT Al Mukhlisin using the school website, online-based learning, compiling learning plans every semester of the academic year, whose final stages are in the form of softcopy and hardcopy.
Photovoltaic power prediction based on sky images and tokens-to-token vision transformer

Photovoltaic (PV) power generation has high uncertainties due to the randomness and imbalance nature of solar energy and meteorological parameters. Hence, accurate PV power forecasts are essential in the operation of PV power plants (PVPP) for short-term dispatches and power generation schedules. In this paper, a new deep neural network structure based on vision transformer is proposed to combine sky images and Tokens-To-Token（T2T） for photovoltaic power prediction. The method uses an incremental tokenization module to aggregate neighboring image patches into tokens, which capture the local structural information of the clouds. Then, an efficient T2T-ViT backbone network is used to extract the global attentional relationships of the tokens for power prediction. In order to evaluate the performance of the proposed model, the method was compared with several deep learning architectures such as ResNet and GoogleNet on a dataset collected by the National Renewable Energy Laboratory in Colorado, USA. The results of power prediction were analysed using training loss, prediction error, and linear regression, and they show that the proposed method achieves higher prediction accuracy and lower error compared to the existing methods, especially in short- and ultra-short-term prediction. The paper demonstrates the potential of applying Transformer models to computer vision tasks for renewable energy forecasting. The results show that the proposed method achieves higher prediction accuracy and lower error than several deep learning architectures, such as ResNet and GoogleNet, especially in short- and ultra-short-term prediction.
Digital Transformation of Education: Prospects and New Opportunities

the modern education system, closely interacting with all areas and sectors of the economy, dynamically responds to any changes and takes us to a new stage of development - the stage of universal digitalization. The change in Federal State Educational Standards, a new concept for the development and implementation of educational programs, taking into account the requirements of professional standards and the requests of employers, determine the need for training specialists with complex competencies. These problems can be solved with the help of the digital transformation of higher education. This article is devoted to the digital transformation of higher education. It considers the concepts of “informatization”, “digitalization”, “digital transformation of education”. The main directions of digital transformation of higher education are analyzed. It is necessary to update the educational process in accordance with the new requirements and norms, specifications, quality indicators and improve the ICT competence of university teachers. Digitalization is not only the conversion of existing data and applied processes into digital form and the creation of electronic copies of textbooks, but also the use of digital technologies, electronic resources, digital educational platforms, virtual and augmented reality, artificial intelligence, etc. All this changes thinking, forms and methods of work, allows you to actively introduce digital technologies into the educational process, which are not just a new information tool for solving problems, but a new environment and ways of thinking. To be competitive in the information society, it is necessary to be able to create and apply information using digital technologies.
Design and Build a Website-Based Teacher Payroll Processing Information System at SMKTIK Yadika Cicalengka

The design of this teacher payroll processing information system was developed to make it easier to manage teacher salaries at SMKTIK Yadika Cicalengka so as to minimize duplication.for the system design using the OOAD (object Oriented Analysis and Design) while the model used is RUP (Rational Unified Process) where the development tools are UML (Unified Modeling Language) There is also an explanation of the information system design process. Website-based payroll processing that will be built, starting from the design of use case diagrams, activity diagrams, sequence diagrams, class diagrams, user interfaces, hardware design and in designing this hardware requires hardware configuration, hardware specifications, and software specifications
Decision Support System For Admission Of New Employees With Weighting Method (Weight Product Model)

Firli Group is an e-commerce and digital marketing company. At every new employee recruitment, Firli Group is still manual or semi-computerized, making it difficult to determine prospective new employees. Therefore we need a system that can be petrified to facilitate decision making, namely by using the Weight Product Model (WPM). WPM is a model of Decision Support System (DSS), namely by ranking, this analysis is carried out with a sample of 5 people. Decision support system on the acceptance of new employees, is expected to help the company.
Gaussian and Lerch Models for Unimodal Time Series Forcasting

We consider unimodal time series forecasting. We propose Gaussian and Lerch models for this forecasting problem. The Gaussian model depends on three parameters and the Lerch model depends on four parameters. We estimate the unknown parameters by minimizing the sum of the absolute values of the residuals. We solve these minimizations with and without a weighted median and we compare both approaches. As a numerical application, we consider the daily infections of COVID-19 in China using the Gaussian and Lerch models. We derive a confident interval for the daily infections from each local minima.
Transformational Leadership Mediates the Relationship Between Employee Engagement and Performance in Production Media

The impact of leadership styles (LS) on employee performance (EP) and growth is profound, especially regarding engagement. This study delves into the type of leadership and its role in bridging the gap between employee involvement and accomplishments within the production media sector in Oman, specifically in audio and video production. This descriptive research seeks to discern patterns that can predict specific outcomes. The focus is mainly on employees who do not hold managerial roles in the Omani production media industry. For this study, data was collected from an estimated 312 participants. The PLS-SEM technique was the tool of choice to dissect the connections between the variables at play. Impressively, the outcomes validated all the presented hypotheses. On an academic level, this research contributes to the broader understanding of employee efficiency. It provides tangible evidence that could be pivotal for enhancing the productivity of Oman's production media sector. In a broader sense, the research's methodology offers a blueprint that can be adapted by tweaking the variables to analyze and boost EP and achievement in various settings.
Affective Computing for Generating Virtual Procedural Environments Using Game Technologies

1 Game engine virtual reality environment view of a procedural volumetric 3D complex noise morphology rendered in real-time using VGI (voxel global illumination) based on the affective response measured via brain-computing interfacing and generated using eye-tracking within the proposed experimental system.