Reviewerly/exHarmony huggingface dataset:
University online class design and execution status analysis through cross-case analysis

The purpose of this study is to analyze the online class design and implementation status of universities by using the online class analysis tool to analyze the online education status. To this end, a cross-case analysis was conducted, and based on the analysis results, a practical design plan including design guidelines, considerations, and precautions for designing and executing more effective online classes was proposed. The result of this study is that, first, the ratio of middle and low level of online class design and execution suitability is more than twice that of upper level, so that there are various difficulties for instructors in the process of designing and executing face-to-face classes into online classes. And it was found. Second, the suitability of the class evaluation area in online class design and execution is the lowest, because the evaluation method and tool are not properly selected and implemented to consistently evaluate whether the goal of the class goal and content has been achieved. Third, in the learning environment area of online class design and execution, there is a lack of proper learning environment according to online class type due to the high ratio of middle and low level design by online class type, and it is not suitable for specific class types(lecture type, AOD type). It shows a biased design. Fourth, in the teaching method area, the ratio of the intermediate level of motivational and maintenance strategies was higher than that of other sub-areas, and it was necessary to plan and execute more detailed motivational strategies for learners with low self-regulation ability. Fifth, the ratio of middle and low level for explanation strategy and question strategy, which are common lesson strategies in online class types, was higher than the ratio for other sub-areas. It is necessary to properly plan and present a questioning strategy to students, and to enhance the effectiveness of interaction and communication with learners. It will be possible to reduce the difficulties that may arise when designing and executing online classes by providing instructors with information to be aware of when designing and using materials, evaluation methods, and tools.
The accomplishment and future of the Anti-Corruption Plan of the Korea Governmnet

Since the Anti-Corruption Act was enacted in 2001 and the Anti-Corruption Commission was established in 2002, the Korean government has implemented a comprehensive anti-corruption strategy and plan at the pan-government level. These include the anti-corruption basic plan in 2002, the road map for anti-corruption in 2003, an action plan based on the anti-corruption basic plan, and the five-year comprehensive anti-corruption plan in 2018. Korea's anti-corruption laws and systems were systematically reorganized through three long-term plans. And as a result, Korea's corruption perceptions index improved to 32nd out of 180 countries as of January 2022. This paper compares and analyzes the nature and main contents of the past government's long-term anti-corruption plans to help establish and implement anti-corruption long-term plans based on public participation.
An Analysis of Teachers’ Perception on the Creative Experience Activities in Korean middle schools

The purpose of this study was to analyze the current status and actual conditions of the Creative Experience Activities (CEA) based on the perceptions of middle school teachers and to draw implications for the improvement of the CEA. To this end, we devised a survey tool consisting of 11 questions in four areas such as overall perception of the CEA, organization and operation of the CEA, curriculum linkage, and linkage of human and physical capital inside and outside the school. A survey was conducted on 102 middle school teachers nationwide. The results of the survey are as follows. First, the degree of the achievement and purpose of the CEA in middle school was generally positive. Second, respondents were generally positive about the degree of school autonomy in organizing and operating the CEA in middle school, and they recognized the creative experience plan of nearby schools as important in selecting club activities, educational contents and activities for the first year of middle school. Third, it was generally positive about the degree of subject linkage of the CEA in middle school and 46.5% of the linked subjects were concentrated on arts and physical education subjects. Finally, respondents considered the time per subject for each teacher in assigning teachers for the CEA, and it was confirmed that the previous case of school was used for collecting information and utilizing human resources in the school. Based on these research results, this study suggested plans for improving the curriculum for the CEA in middle schools
Legal issues of public interest reporting and reporter protection

The protection of reporters is a means to protect the freedom of the press, and the free circulation of information cannot be expected without the protection of the reporters. In addition, if the professional duty and conscience of a journalist are presupposed, the protection of reporters should be guaranteed. Theoretically, the protection of reporters guarantees free press coverage and, along with the protection of public interest whistle blowers, will serve as the basis for the development of democracy by monitoring authorities in power and satisfying the people's right to know. In this regard, the Code of Conduct for Journalism Ethics stipulates that the identity of a reporter should not be revealed if the safety of the reporter is in danger or there is a risk of being unfairly disadvantaged. In particular, crime-related reports require very thorough security for the identity of the informant as there is a possibility of secondary damage to the informant due to the disclosure of the identity of the informant. In addition, the protection of public interest whistle blowers is protected by the relevant laws, and there are penalties for violations. There are also views claiming that the scope of protection of sources is not limited to professional and professional media organizations and journalists, but rather broad protection in the free press process. Of course, this will have to be considered more carefully. It would be most effective to take legal action for the protection of sources. This is because it can guarantee their predictability between potential informants and media agencies. However, due to the nature of the Korean media, which shows problems such as abuse of anonymous reporting, sensationalism, and partisanship, it is also true that the law to protect reporters is sometimes criticized for their right to enjoy privileges. Even if there is no law on reporters, judicial administration should make efforts to protect reporters through the freedom of speech guaranteed by the Constitution.
The effect of smartphone dependence of elementary students in extracurricular physical activities on interpersonal skill and social competence in the COVID-19

The purpose of this study was to investigate the effect of smartphone dependence of elementary school students participating in extracurricular activities in COVID-19 on interpersonal ability and social competence. To achieve this objective, 359 elementary school students in grades 5-6 from Incheon and Gyeonggi Province were the subject of this study. The measurement tool used for data collection was a structured 5 Likert scale questionnaire, verified in previous studies, and modified and supplemented to be suitable for elementary school students. The collected questionnaires were analyzed according to the research purpose and research problem using IBM SPSS Statistics 27.0. First, descriptive statistical analysis, exploratory factor analysis (EFA), and reliability (Cronbach's α) were measured. Afterwards, correlation analysis and multiple regression analysis were performed according to the research question. First, as a result of analyzing the correlation between the smartphone dependence, interpersonal ability, and social competence variables of elementary school students, there is a statistically negative correlation between smartphone dependence and interpersonal competence, and between smartphone dependence and social competence, There is a statistically positive (+) correlation between interpersonal ability and social competence. Second, elementary school students' smartphone dependence has a statistically significant negative (-) effect on interpersonal ability. Third, elementary school students' smartphone dependence has a statistically significant negative (-) effect on their sense of social connection. However, compulsive dependence had a negative (-) effect on initiative, but it was not statistically significant. Fourth, interpersonal ability of elementary school students has a statistically significant positive (+) effect on social competence. However communication ability had a positive (+) effect on cooperation, but it was not statistically significant.
GIS TOURISM WEB BASED OF KAMPUNG SEBERANG RAMAI, PERLIS

Tourism is an industry with significant economic impact as it contributes to the development of other economic sectors through a multiplier effect. The location of Kampung Seberang Ramai, which is relatively unknown to the public, makes it difficult to discover this area with paper maps. In addition, this area has a good potential to become a tourist attraction in Perlis. Currently, the area is being upgraded by MAIP under the Diraja Program Transformasi Kampung Seberang Ramai project to make it more attractive. The technology of GIS has many potential applications in tourism management and planning. Some of the most important aspects of GIS that could support tourism planning are managing spatial data and providing important value-added information. The objective of this study is to develop a web-based system for Kampung Seberang Ramai, Perlis. This web-based system will allow public users to access and visualize all information about Kampung Seberang Ramai, Perlis. Web-based design and development using SDLC method with waterfall model, digitization process, attribute table creation and software for this research. The software used is ArcGIS, Google Earth Pro, ArcGIS Online, and Wix Web Editor. The method of this study was used to collect the tourism information and present the tourism web-based content for tourists and analyze the user satisfaction in developing web-based content in four phases: Planning, data collection, web-based design and development, and testing phases. The result of this study is the creation of a web-based GIS of Kampung Seberang Ramai that provides history information and supports tourism development in Perlis Land. The benefits of this study will encourage Kampung Seberang Ramai to become an attractive place in the tourism sector and provide benefits to local villages in the form of profit in the socio-economic sector. Kampung Seberang Ramai should become an attractive place in the tourism sector and provide benefits to the local villages in the form of profit in the socio-economic sector.
Session recommendation based on target attention and directed graph

Session-based recommendations have aroused widespread concern, and they can predict the next item of interest in the chronological order according to a given anonymous behaviour sequence. Current session recommendations benefit from the ability of graph neural network to obtain the complicated transformation patterns between items, but they still have shortcomings. Most recommendation models based on graph neural network only consider the information between items in a session but not the target item information. This paper thus proposes a session recommendation model that combines the target attention mechanism and directed graph, which considers information between items in a session as well as information about the target item. The session-level embedding is obtained using an attention mechanism and a graph neural network, followed by the target embedding obtained using a target attention mechanism, and finally the session-level and target embeddings are stitched together to get the potential transformation information of items in the session. The model has experimented on two publicly available datasets. Compared with the existing benchmark model, the proposed model has improved in all indicators, proving the effectiveness of the proposed method.
Interaksi Motivasi Belajar Tinggi Serta Rendah Versus Hasil Belajar Materi Perkakas Tangan

This research aims to research high and low learning motivation versus learning outcomes hand tool material. This research apply the Quasy Experiment method. While the research design is a 2 x 2 factorial. Furthermore, for the data collection method using the cluster random sampling method. The sample of research was 144 students. Furthermore, several series of tests were held, including: validity test, reliability test, prerequisite test (test of homogeneity, normality, and one way ANOVA) and hypothesis testing (two way ANOVA test). This questionnaire consists of 36 questionnaires so that the highest is 144 and the lowest is 36. From scores obtained, it can be grouped into 2 categories, namely students with low motivation and high motivation categories. Students with low motivation category if they get a score between 36-89 and students with high motivation category if they get a score between 90-144. All samples in this study were given a learning motivation questionnaire and then grouped according to the categories of students with high learning motivation categories and students with low learning motivation categories. The results of this research show that there is a comparison between students who have high learning motivation and students who have low learning motivation on the learning outcomes of hand tools in class X SMKN 1 Driyorejo and SMKS YPM 8 Sidoarjo in the 2021-2022 academic year.
Latest Advances on AI and Robotics Applications

The applications of artificial intelligence and robotics, their associated technologies, and their integration continue to grow and are seen in more and more diverse fields. With these considerations in mind, this issue of the Journal of Artificial Intelligence and Technology presents five state-of-the-art peer-reviewed contributions, ranging from theory to prototyping, and covering several distinct application topics.
FabHacks: A Domain-specific Language for Functional Fixtures Using Everyday Objects

In everyday life, it is common that a temporary solution is needed for a task such as storage and organizing. Instead of purchasing commercial items that are specifically designed for these tasks, more and more people tend to DIY something with what they have on hand – which we call a “hack". To design a hack is not as straightforward, however, because it requires creativity to come up with ways of combining objects, and also understanding how objects interact and whether the design is physically valid.
sPrintr: Towards In-Situ Personal Fabrication using a Mobile 3D Printer

We present our early work on sPrintr, a pipeline consisting of a mobile 3D printer and graphical interface to enable in-situ fabrication with consumer-grade hardware and fabrication tools. We prototyped two initial components of that pipeline i) a mobile 3D printer and ii) a user interface that helps users arrange, preview, and plan prints in their environment using a floor plan layout. We identify challenges in the automation of mobile printing systems, on-the-go printing, and human-machine interfaces for in-situ design and fabrication.
SIR Particle Filter in Float Solution with Map-Aiding Algorithm

A map-aiding algorithm is added to the estimation of the full geometry-based float solution for differential carrier phase positioning of a land vehicle in order to assess the effect of map matching on the convergence of the position and ambiguity states. As this constraint leads to highly non-Gaussian posterior densities, it is implemented within the framework of Bayesian theory, using a Sequential Importance Resampling (SIR) Particle Filter (PF). This PF estimates the user position, velocity, and acceleration states, as well as the float ambiguities using L1 GPS carrier phase and pseudorange observations. The position accuracy of the Particle Filter solution with and without the map-aiding constraint is compared to the typically used Extended Kalman Filter (EKF). The proposed algorithm is tested in four different segments of a larger land vehicle data set, showing how the position convergence improves when adding digital road map information within the first thirty seconds of initializing the PF in different scenarios that include driving in a straight line, turning, and changing lanes.
Prototype Development of a Flexible Covert Spoofer Using Measurement Information from LiDAR and AHRS

Spoofing attacks on the Global Navigation Satellite System (GNSS) have attracted great attention in recent years due to their severe harm to position, velocity, and timing (PVT) service users. Conventional spoofing techniques focus on disabling the victim by directly broadcasting fake GNSS signals and thus could cause obvious alarms. Meanwhile, covert spoofing techniques require precise information or physical access of the victim to carry out spoofing attacks without triggering alarms, but these conditions are not satisfied in numerous real-world scenarios, especially in remote and temporary cases. In this paper, we design a spoofer framework that is suitable for committing remote GNSS spoofing attacks temporarily and covertly. We describe in detail the control strategy to adjust the key parameters of the spoofing signals including the code phase, Doppler frequency shift, signal strength, and navigation message data bit. The observation module that consists of a light detection and ranging (LiDAR) unit and an attitude and heading reference system (AHRS) unit is utilized to provide supplementary information to ensure the validation of the spoofing attacks. A brief error analysis is provided to represent the performance of the proposed spoofer framework. Finally, we develop a prototype based on the spoofer framework and carry out actual spoofing experiments toward a widely used commercial GNSS receiver. The results show that such temporary and covert spoofing attacks are indeed a practical threat.
Construction of Incentive Model for Young Teachers’ Professional Development Based on Artificial Neural Network

Because the traditional incentive model for young teachers’ professional development does not combine incentive measures with independent professional development, the incentive effect is poor. And the relationship between external support measures and teachers’ independent professional development has not been well connected. In order to solve the problem of poor effect of the incentive model, an incentive model for young teachers’ professional development based on artificial neural network was designed., constructs an evaluation system of incentive measures for young teachers’ professional development, divides incentive measures into three primary indicators and nine secondary indicators, evaluates nine secondary indicators by using artificial neural network model, and obtains that the secondary indicators are all good. According to the incentive measures in the secondary indicators and the target management theory, the incentive model of young teachers’ professional development is constructed. The results show that the scores of robustness, incentive selection, scope of use and homomorphism of the model are 95.6, 96.7, 94.2 and 93.8 respectively; after using the model, the professional development perspectives of young teachers, such as learning aid, professional training and teacher-apprenticeship, have been improved by 47.80%, 52.00% and 53.20% respectively.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Jotform • Number of submissions received: 129 • Number of submissions sent for review: 90 • Number of submissions accepted: 80 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 62 • Average number of reviews per paper: 2 • Total number of reviewers involved: 10 • Contact person for queries: Name: Robbi Rahim Email: usurobbi85@zoho.com Affiliation: Sekolah Tinggi Ilmu Manajemen Sukma
Developing Student Autonomy through the Enhancement of Technological Approaches

The concept of “learner autonomy” (LA) infatuates the interest of researchers across different dimensions of science and technology. In the previous century, the initial associations with the term springing to one’s mind were to do with self-access technology-rich centres, commonly known as “resource centres''; however, with its rapid global penetration, it reached the contexts of developing countries, thus introducing change to how the learners can become better versions of themselves. The aim of this study is to report on the effectiveness of the consequent introduction of a wide range of e-tools studied and experimented with minor teacher intervention. The study is limited to a scope of 24-25 CIFS students studying at Westminster International University in Tashkent (henceforth WIUT) aged between the ages of 17 and 20. The group will be randomly divided into two samples: experimental and control. Supposedly, there will be 12 students in each of the two sample groups.
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction

State-of-the-art methods for optical flow estimation rely on deep learning, which require complex sequential training schemes to reach optimal performances on real-world data. In this work, we introduce the COMBO deep network that explicitly exploits the brightness constancy (BC) model used in traditional methods. Since BC is an approximate physical model violated in several situations, we propose to train a physically-constrained network complemented with a data-driven network. We introduce a unique and meaningful flow decomposition between the physical prior and the data-driven complement, including an uncertainty quantification of the BC model. We derive a joint training scheme for learning the different components of the decomposition ensuring an optimal cooperation, in a supervised but also in a semi-supervised context. Experiments show that COMBO can improve performances over state-of-the-art supervised networks, e.g. RAFT, reaching state-of-the-art results on several benchmarks. We highlight how COMBO can leverage the BC model and adapt to its limitations. Finally, we show that our semi-supervised method can significantly simplify the training procedure.
Benchmarking Session-based and Session-aware Recommender Systems for Jusbrasil

In this paper, we present a benchmark of several session-based, session-based with reminders and session-aware recommender systems that can be used to improve legal document recommendation in Jusbrasil, the largest legal search engine in Brazil. We focus this benchmark on the logged users, and the results show that some recommender systems can achieve gains of accuracy of around 19% with respect to the current recommender system adopted by Jusbrasil.