Reviewerly/exHarmony huggingface dataset:
Republic of Korea: Cultivating Key Competences

Education in Korea is based on the ideal of Hongik Ingan—‘contributing to the overall benefit of humankind’. The chapter discussed the recent 2015 curriculum that was developed in collaboration with families and local communities. It includes six key competences: self-management competence, knowledge-information processing skills, creative thinking skills, aesthetic-emotional competence, communication skills, civic competence. Key competences are integrated into all the disciplines and are linked to disciplinary skills, thus being naturally reinforcing. For each discipline, relevant aspects of key competences and new literacies are identified. Ten cross-curricular themes (new literacies) are further supported (safety-health education, human rights education, economy-finance education, environmental sustainability education et al.). These themes are integrated both in disciplinary learning, and in creative experience activities. Physical culture (literacy) is emphasised as a channel to develop key competences, such as communication and collaboration with people, self-management, self-regulation.
Artificial Intelligence in English Language Teaching: Navigating the Future with Emerging Perspectives

This research article examines the potential applications of Artificial Intelligence (AI) in English Language Teaching (ELT) in South Asia. AI is a rapidly developing technology that offers innovative and effective solutions to various educational challenges. The article explores how AI can be used to improve the teaching and learning of English as a second language in South Asian countries, which face significant language barriers due to a lack of adequate resources and training. The study highlights the various AI technologies that are currently available for ELT, such as speech recognition, machine learning, and natural language processing. It also analyses the potential benefits and challenges associated with the use of AI in ELT, including increased efficiency, personalized learning, and reduced teacher workload. The study concludes that AI has the potential to significantly improve the quality and accessibility of ELT in South Asia, and recommends further research and experimentation to fully realize its potential.
Application of the Certainty Factor Method in the Dental Disease Expert System using the Addie Model

Health is one of the basic human needs of many people who pay little attention to health, especially in dental and oral health because dental and oral diseases can attack anyone and at any time. Therefore, the need for fast and precise information from a dentist is needed according to the symptoms of the disease experienced by the patient. There are many factors that make it rare for someone to do an examination and consult a dentist, including a lack of attention or awareness of dental and oral health, the high costs that must be spent for consultations, long queues that make patients uncomfortable waiting. The existence of information system technology is very influential on the progress of the Assalam Dental Clinic. Using the Expert System Certainty Factor Method and the ADDIE model helps doctors recognize the types of dental disease experienced by patients online. The Certainty Factor method is a method for proving whether a fact is certain or uncertain in the form of a metric which is usually used in expert systems. While the Analysis Design Develop Implement Evaluate (ADDIE) model is one of the systematic learning design models, this model is developed or arranged programmatically. The results of the research based on the calculations that have been carried out by means of a combination get the results of dental disease diagnoses with a high percentage level.
ADVANCING MEASURES FOR TRANSITIONING MOTHER-TONGUE (SESOTHO) IN FOUNDATION PHASE TO ENGLISH IN INTERMEDIATE PHASE AS LANGUAGE OF LEARNING AND TEACHING

The purpose of this study was to design measures that should be included in a framework for the use of English as a Language of Learning and Teaching in a classroom interaction approach to enhance learners’ communicative competence in the Intermediate Phase. The previous research advocates that classroom interaction activities can provide opportunities for the facilitation of the additional language, as they encourage meaningful interaction in the target language and active learner participation. Moreover, a classroom interaction approach helps learners to construct their own learning while expressing themselves in the additional language. In the English as Language of Learning and Teaching (LoLT) settings, where it is an ongoing challenge to provide learners with practical learning and interactive learning opportunities, interaction activities such as discussion, storytelling, role-play, reading aloud and debate are seen as advancing measures, albeit there is superficial implementation of some of these activities in the Intermediate Phase LoLT classrooms. This multiple case study investigated the nature and scope of classroom interaction in teaching LoLT to enhance learners’ communicative competence. The study explored the teachers’ understanding of classroom interaction, teachers and learners’ beliefs and attitudes and the strategies used by the teachers in teaching LoLT in the classrooms. The research was undertaken at five public primary schools, but the focus was on the Intermediate Phase at Motheo District of Free State Province. It was found that most of the teachers still use the teacher-centred method while learners remain passive receivers. The study recommends that LoLT teachers should be trained to implement the classroom interaction using the interactive activities in additional language and create a conducive teaching and learning environment that permits the learners’ participation; the schools should have a parental involvement policy as a means of encouraging parents to be involved in their children’s learning; policy makers should include debate as an interactive activity in the Curriculum and Assessment Policy Statement (CAPS) document teaching plans in order for the teachers to fully implement it; and parents should be trained on how to assist with homework tasks and take responsibility for their children’s learning. Keywords: English as Language of Learning and Teaching, Curriculum and Assessment Policy Statement, Communicative competence
Application of Recurrent Neural Network Model for Short Term Photovoltaic Generation Forecasting

This paper presents the application of a Recurrent Neural Network (RNN) Model for one-step forecasting of Photovoltaic (PV) generation using exogenous weather variables with a 15-minute resolution. The paper finds application in Australian urban environments, with an RMIT University campus building based in the City of Melbourne presented as a representative example for the time period of January to December 2020. The model accuracy is expressed in terms of Normalised Mean Absolute Error (nMAE) normalised by the range of the actual generation values. The nMAE values are below 0.5 in all the cases, suggesting the model has a reasonable accuracy. This model underlines the importance of very short term forecasting in the context of energy trading, when the PV panels export power to the grid and when backup and storage assets such as batteries form part of the grid.
Integrating Ontologies and Relational Databases for An Improved Data Access

Today, recent rapid advancements and developments in information and communication technologies have enabled the number of connected devices to increase gradually. Thus, a significant amount of data from many sources has been produced as a result of the increase in connected devices. It is now more crucial than ever to access and draw conclusions from the data kept in relational database management systems. Ontology-Based Data Access (OBDA) is a hugely important paradigm for leveraging Semantic Web technologies to access data stored in relational databases. Users access data via a conceptual layer in the OBDA paradigm. Data is stored in relational databases and is represented by the conceptual layer as an RDF(S) or OWL ontology. In this paper, a demonstration for the integration of a relational database and an ontology is presented in order to provide an ontology-based data access. The goal of the presented demonstration is to serve as a roadmap for further research studies. For this purpose, a data set stored in MySQL relational database management system is accessed using the OBDA model. Further, the Ontop Framework that is compatible with the Protégé ontology development environment is used to provide the integration between the ontology and the relational database. Moreover, the Ontop queries are executed over SPARQL.
RANCANG BANGUN ALAT UKUR TINGGI BADAN OTOMATIS BERBASIS ANDROID

Design and construction of an Android-based automatic height measurement tool has been carried out. This research was made due to the demand for sophisticated medical support equipment with all the capabilities it has that continues to develop so that effective and efficient medical support equipment can be produced. This tool is designed with the aim of providing information about the measurement data of height and weight to users. Measurement results data will be sent to Android in the form of messages to be stored using the android database system storage.This research method uses qualitative methods, namely: study literature and literature and conduct experiments on the circuit design made, then test the function of the tool with a meter to determine the accuracy of the work of this tool. This tool is made by utilizing the sharp ir sensor as conversion then will sent via GSM SIM 800L, and the data is displayed via the application and SMS on the patient's AndroidThe test results show that the distance obtained is the conversion result taken from the travel time of infrared rays when they emit light and receive reflected objects. seen the percentage error value for each measurement, which allows the sensor to read errors and possible interference from the compiler program. As long as the% error does not exceed 3%, the module design for automatic height measuring instruments can be used properly.
ANALISA KONTROL KV SELEKTOR PADA PESAWAT RONTGEN MERK MEDONICA

The Problems About KV Selector Control Analysis on X-Ray Medonica Brands are to find out how the influence of KV on X-Ray planes on Image Quality in KV measurements varies at 50KV, 60KV, and 70KV with 100 mA, and 0.20 s (20 mAs), on FFD 100 cm to the same object that was done in the Radiology Room of the Medan Adventist Hospital.Writing this scientific paper using qualitative descriptive research methods by measuring, collecting data directly on the Medonica brand X-ray machine and comparing the results of good photo films to diagnose patients.Exposure is carried out using a focal height to film (FFD) of 100 cm, 100 mA, 0.20 s. By using a KV variation, the field area is adjusted to the collimator lamp as a good indicator of the irradiation field.From the results that will be obtained later will be obtained a comparison between the 3 (three) CV parameters tested and will get good imaging results and will then be continued in the diagnosis of patients.
Preface

Extract The increasing recognition of the importance of reproducibility and the recent availability of new tools to facilitate reproducibility were the inspiration for this project. While these developments have yet to be widely embraced by the profession, it is my belief that they will be commonplace in the not too distant future. With the release of a set of free and open source tools on December 6 2016 (the official release of R Markdown (Allaire et al., 2017)), I decided to incorporate them into a course that I taught in the Winter of 2017. Rather than teach a traditional course from any one of the excellent textbooks that exist, I decided to cover a set of topics that I felt would benefit future researchers but to do so with an emphasis on reproducibility, and was not aware of any one text that covers the set of topics I wished to cover from the perspective I envisioned. Furthermore, I wanted the students to be critical and to confront model uncertainty and the lack of robustness of many techniques that they have been taught, while providing sound alternatives. I therefore decided to create a set of notes for the students.
Wearable sensors for human activity recognition based on a self-attention CNN-BiLSTM model

Purpose This study aims to reduce data bias during human activity and increase the accuracy of activity recognition. Design/methodology/approach A convolutional neural network and a bidirectional long short-term memory model are used to automatically capture feature information of time series from raw sensor data and use a self-attention mechanism to learn select potential relationships of essential time points. The proposed model has been evaluated on six publicly available data sets and verified that the performance is significantly improved by combining the self-attentive mechanism with deep convolutional networks and recursive layers. Findings The proposed method significantly improves accuracy over the state-of-the-art method between different data sets, demonstrating the superiority of the proposed method in intelligent sensor systems. Originality/value Using deep learning frameworks, especially activity recognition using self-attention mechanisms, greatly improves recognition accuracy.
How Unique do we Move? Understanding the Human Body and Context Factors for User Identification

Past work showed great promise in biometric user identification and authentication through exploiting specific features of specific body parts. We investigate human motion across the whole body, to explore what parts of the body exhibit more unique movement patterns, and are more suitable to identify users in general. We collect and analyze full-body motion data across various activities (e.g., sitting, standing), handheld objects (uni- or bimanual), and tasks (e.g., watching TV or walking). Our analysis shows, e.g., that gait as a strong feature amplifies when carrying items, game activity elicits more unique behaviors than texting on a smartphone, and motion features are robust across body parts whereas posture features are more robust across tasks. Our work provides a holistic reference on how context affects human motion to identify us across a variety of factors, useful to inform researchers and practitioners of behavioral biometric systems on a large scale.
Foregrounding Values through Public Participation: Eliciting Values of Citizens in the Context of Mobility Data Donation

Citizen science (CS) projects are conducted with interested volunteers and have already shown promise for large-scale scientific research. However, CS tends to cultivate the sharing of large amounts of data. Towards this, our research aims to understand better citizens’ potential privacy concerns in such participation formats. We, therefore, investigate how meaningful public participation can be facilitated to foreground citizens’ values regarding mobility data donation in CS. In this regard, we developed a two-step method: (1) a workshop concept for participatory value elicitation and (2) an analysis procedure to examine the empirical data collected systematically. Our findings based on three workshops provide new directions for improving data donation practices in CS.
Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and Learning

The effective delivery of e-learning depends on the continuous monitoring and management of student attention. While instructors in traditional classroom settings can easily assess crowd attention through gaze cues, these cues are largely unavailable in online learning environments. To address this challenge and highlight the significance of our study, we collected eye movement data from twenty students and developed four visualization methods: (a) a heat map, (b) an ellipse map, (c) two moving bars, and (d) a vertical bar, which were overlaid on 13 instructional videos. Our results revealed unexpected preferences among the instructors. Contrary to expectations, they did not prefer the established heat map and vertical bar for live online instruction. Instead, they chose the less intrusive ellipse visualization. Nevertheless, the heat map remained the preferred choice for retrospective analysis due to its more detailed information. Importantly, all visualizations were found to be useful and to help restore emotional connections in online learning. In conclusion, our innovative visualizations of crowd attention show considerable potential for a wide range of applications, extending beyond e-learning to all online presentations and retrospective analyses. The significant results of our study underscore the critical role these visualizations will play in enhancing both the effectiveness and emotional connectedness of future e-learning experiences, thereby facilitating the educational landscape.
Movement in Virtual Time: How Virtual Reality Can Support Long-Term Thinking

The immersive nature of virtual reality (VR) allows even complex information to be communicated in an engaging, interactive, and fast way. This is particularly useful in the case of long-term political processes, such as the siting, construction, and management of a repository for high-level radioactive waste (HLRW). In this paper, we present an approach to convey an understanding of such long-time horizons by converting the information into a motion-controlled VR application. To gain insight into how users experience a period of 500 years, a pilot study with 15 subjects was conducted. The first results were positive; the subjects were thrilled with the presentation format in VR and offered several recommendations for improvement of the time visualization. For inexperienced users, the interaction was possible without any assistance and has the potential to be adapted to other use cases.
Voice Messages Reimagined: Exploring the Design Space of Current Voice Messaging Interfaces

The acceptance and use of voice messaging for interpersonal communication has grown significantly in recent years. The aim of this paper is to empirically investigate this kind of voice messaging and to explore the design space for richer voice-based interaction experiences. We therefore conducted a focus group to identify the current advantages and disadvantages of six instant messenger platforms. Based on the identified requirements we derived a click prototype, which was then evaluated. Our study identified four design dimensions for improving voice messaging interfaces, such as improving the efficiency of information retrieval, increasing control over the recording process, optimizing design for privacy and intimacy, and improving usability, accessibility, and personalization.
ELSI Product Owner: Integration of Ethical, Legal and Social Aspects in Agile Development processes

Integrating ethical, legal, and social implications (ELSI) into agile processes is crucial for human-centered design. However, the integration of ELSI within an agile work environment remains a challenge. To address this issue, we propose a new role, the ELSI Product Owner (ELSI-PO), within the Scrum process. The ELSI-PO serves as a mediator and communicator, responsible for negotiating ELSI aspects with stakeholders and ensuring their operationalization throughout the development process. In this paper, we present the steps taken to develop the ELSI-PO concept, we discuss the organizational positioning of the ELSI-PO in Scrum environments and we outline the tasks of the ELSI-PO in different Scrum phases. Our work-in-progress concept offers a solution to meet the growing demands for ELSI as a fixed building block in the agile framework.
A user-centred approach to facilitate locating company security policies

English: An important factor for the effectiveness of security awareness measures in companies is awareness and consistency of security policies. As part of a case study, a document was created using a user-centred approach that gives an overview of all relevant individual documents (so-called overview document). In addition, a process for publication was developed and evaluated iteratively. The case study took place at a medium-sized energy company in Germany. General lessons learned are derived from the case study. For example, distributing important documents via e-mail carries the risk that this is perceived as less important or is not perceived at all. Deutsch: Ein wichtiger Faktor für die Effektivität von Security Awareness-Maßnahmen in Unternehmen sind die Bekanntheit und Konsistenz von Security Policies. Im Rahmen einer Case Study wurde mit einem nutzerzentrierten Ansatz ein Dokument, das den Nutzenden eine Übersicht über alle relevanten Einzeldokumente (sog. Übersichtsdokument) gibt und ein Prozess zur Bekanntmachung iterativ entwickelt und evaluiert. Die Case Study fand bei einem mittelgroßen Energieversorgungsunternehmen in Deutschland statt. Aus der Case Study werden allgemeine Lessons Learned abgeleitet. Beispielsweise birgt eine Verteilung von wichtigen Dokumenten über E-Mail die Gefahr, dass diese gar nicht oder als weniger wichtig wahrgenommen wird.
Mobile AR in the Wild: Exploring an Augmented Reality Concept for a Nature Discovery Path and evaluating its Serious Game Elements

This short paper presents the concept for an Augmented Reality (AR) nature trail application aimed at enhancing the user's experience and interaction with the natural environment. The app leverages the capabilities of modern smartphones and AR technology to overlay digital elements onto the real world, providing users with an immersive and educational experience. The research focuses on evaluating the concept and the app prototype itself with its different elements and games. A main goal of the app is to appeal to a teenage target group in order to interest them in visiting the nature discovery trail. Our results show that they enjoy using the app when being on site as part of a school trip for example. But for most teenage participants it is unlikely to visit the nature trail in their free time because of the app. The study serves as a first step to gather an overall concept how the different app elements are perceived. Initial findings indicate that different user groups have preferences relating the app elements and games. For example, the above average tech-savvy participants in our experiment rated the implemented quiz significantly better than the below average tech-savvy group. The paper also presents the subjective assessment of the participants how much they learned with the app, if they thought the app to be distracting them from the surroundings and more. The paper also highlights some challenges encountered during the development process and outlines future directions for improvement and expansion. Overall, this study presents an encouraging glimpse into the potential of AR technology to enhance nature experiences and promote environmental education.
Fake it and Let Them Make it: Combining Wizard-of-Oz and Rapid Prototyping Tools for a Holistic Co-Design of Conversational User Interfaces

Developing and evaluating chatbots can be a costly and resource-intensive endeavor, often only addressing the preferences of final stakeholders at the very late stage. This paper presents an innovative approach that leverages chatbot simulations within a co-design framework to involve users early on. The proposed methodology aims to enable comprehensive evaluation of chatbot aspects without the need for users to download an app. The integration of a Wizard-of-Oz (WoZ) tool with WidgetExplorer, our proposed chatbot prototyping and evaluation tool, is introduced as a platform for rapid prototyping and user-centered evaluation. This iterative process facilitates contextual conversations, reflection, and dynamic adjustments to the dialog flow and its appearance. Furthermore, the paper presents the incorporation of visual UI components using AdaptiveCards Designer. Using this approach could lead to improving efficiency, inclusivity, and transparency in chatbot design and evaluation.