Reviewerly/exHarmony huggingface dataset:
Meningkatkan Hasil Belajar Siswa Menggunakan Model Pembelajaran Problem Based Learning Pada Materi Relasi Dan Fungsi

This study aims to improve student learning outcomes using the Problem Based Learning model on relations and functions material. This classroom action research was attended by 29 students of class VIII.2 for the 2022/2023 academic year. In practice, the data collected was obtained through observation and tests. As for the data analysis technique in the form of data analysis of teacher observations, student observations and tests of student mathematics learning outcomes. Referring to the procedures followed, the research stages involved include planning, implementing, observing, reflecting. The research consisted of two cycles. The results showed that the results of students' mathematics learning in cycles I and II were 55.18% and 86.20% with an increase from less to very good criteria. From observations of teacher activities when managing learning there was an increase, in cycle I it reached 79.42% good criteria, while cycle II was very good, the percentage of achievements was 97.06%. The results of observations of student activities have increased, from the first cycle the percentage is 56.25% good criteria and the second cycle is 93.75%, very good. This means that learning using the Problem Based Learning model in relation and function material is able to improve students' mathematics learning outcomes.
Mapping Research Trend Of Gamification From 2016-2021

The research conducted to do overview research related to gamification.The research conducted to do overview research related to gamification based on the Scopus database from 2016-2021.The methods used in this research is bibliometric.From the search results founds there is 8.350 documents results related with gamification during 2016-2021.From 2016-2021 the number of documents continued to increase the amount.The number of documents in 2021 is 1.874 documents, which is an increase from 921 documents in 2016.The source of the document with the highest number of 529 documents is Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics.The dominant document type is conference paper with a total of 4.320 documents.The United States is the country with the highest number of documents with 1.046 documents.Tampere University is the affiliate with the most documents with 105 documents.The subject area of research related to gamification is computer science with a percentage of 33.2% or 5.371 documents.
Exploring the Perception of Pain in Virtual Reality through Perceptual Manipulations

Perceptual manipulations (PMs) in Virtual Reality (VR) can steer users’ actions (e.g., redirection techniques) and amplify haptic perceptions (e.g., weight). However, their ability to amplify or induce negative perceptions such as physical pain is not well understood. In this work, we explore if PMs can be leveraged to induce the perception of pain, without modifying the physical stimulus. We implemented a VR experience combined with a haptic prototype, simulating the dislocation of a finger. A user study (n=18) compared three conditions (visual-only, haptic-only and combined) on the perception of physical pain and physical discomfort. We observed that using PMs with a haptic device resulted in a significantly higher perception of physical discomfort and an increase in the perception of pain compared to the unmodified sensation (haptic-only). Finally, we discuss how perception of pain can be leveraged in future VR applications and reflect on ethical concerns.
Peril on the Road to Utopia – Opportunities and Risks of Infusing Personal Data into the Smart City Ecosystem

Technology is not always living up to its promises.The idea of smart cities has been around for over ten years and is finally gaining traction.Urban data platforms are being adopted across Europe.However, smart cities still struggle to engage citizens.Also struggling is the internet.Many, including the founder of the World Wide Web, feel that it is broken: hijacked by big tech, trapping us into filter bubbles.How can the use of personal data remedy both of these struggles?With control over our personal data using personal data vaults, we could limit exposure to unwanted manipulation online.Next, by rendering our personal data for solving societal problems, we help improve smart city services.Finally, we can use insights from our integrated personal data to change our own behaviour and become truly smart citizens.Sounds too good to be true?Maybe.But more importantly, let us not repeat past mistakes and, this time, put in place measures to identify and resolve adverse effects.EU legislation and European values are foundational measures.In addition, by using scenario thinking, we propose two broad strategies for finding more measures.One is adopting a human-centric paradigm, rather than an economic paradigm.The other is adopting a contextual-values paradigm rather than an individualistic paradigm.We recommend that the use of
Implementasi Algoritma Convolutional Neural Network Untuk Klasifikasi Citra Kemasan Kardus Defect dan No Defect

Packaging is an important aspect of a product, because packaging can affect the quality and competitiveness of the product. Damaged packaging can result in decreased product quality. One popular packaging used is corrugated cardboard type box. To visually distinguish defect and no defect cardboard packaging, there are tears, holes and dents on the defect cardboard packaging. Whereas the no defect cardboard packaging has a visual that there are no tears, holes or dents. To simplify the classification, technology is needed that can distinguish between defect and no-defect cardboard packaging. In this study the total images used as a dataset are 1300 images, which are then divided into 2 with a percentage of 80% for training data and 20% for test data. The dataset first goes through the preprocessing stage before being used. Preprocessing consists of cropping, augmentation and resizing. And also do the segmentation process using Grabcut method. Then feature extraction is also performed using Local Binary Pattern (LBP). This study uses the Convolutional Neural Network algorithm with a total of 3 convolution layers, namely 16.32 and 64 and the Adam optimizer. Four experiments were carried out by differentiating the hyperparameter epoch, the input image size and the learning rate. The results showed that the model produced with an epoch hyperparameter of 30, an input image size of 300x300 and a learning rate of 0.001 obtained the best performance with an accuracy value of 95.77%, 96% precision, 96% recall, 96% f1-score and loss of 0.1478.
JoVE Video Dataset

In recent years, the incidence of thyroid cancer has been increasing. Thyroid nodule detection is critical for both the detection and treatment of thyroid cancer. Convolutional neural networks (CNNs) have achieved good results in thyroid ultrasound image analysis tasks. However, due to the limited valid receptive field of convolutional layers, CNNs fail to capture long-range contextual dependencies, which are important for identifying thyroid nodules in ultrasound images. Transformer networks are effective in capturing long-range contextual information. Inspired by this, we propose a novel thyroid nodule detection method that combines the Swin Transformer backbone and Faster R-CNN. Specifically, an ultrasound image is first projected into a 1D sequence of embeddings, which are then fed into a hierarchical Swin Transformer. The Swin Transformer backbone extracts features at five different scales by utilizing shifted windows for the computation of self-attention. Subsequently, a feature pyramid network (FPN) is used to fuse the features from different scales. Finally, a detection head is used to predict bounding boxes and the corresponding confidence scores. Data collected from 2,680 patients were used to conduct the experiments, and the results showed that this method achieved the best mAP score of 44.8%, outperforming CNN-based baselines. In addition, we gained better sensitivity (90.5%) than the competitors. This indicates that context modeling in this model is effective for thyroid nodule detection.
Human Cognition by Immersion in Virtual Reality Environments

This work analyses the potential and contemporary attributes of the emerging technologies of Immersive Virtual Reality (IVR), for their use in educational environments, which through direct experiences contribute to facilitate actions related to human cognition. The study and analysis of human cognition is based on the Biology of Cognition and diverse approaches of the Educational Sciences, with the objective of contributing towards the search for the understanding of mechanisms and theories associated to it, in real and/or virtual environments, a fact that can be useful for a better approach to the processes and elements associated to the design and conception of the environments, architectures, learning objects and interactions, which with educational purposes, use Immersive Technologies and Virtual Reality, whose evolution and innovations in the last decades have also been duly established.
Text Polishing with Chinese Idiom: Task, Datasets and Pre-trained Baselines

This work presents the task of text polishing, which generates a sentence that is more graceful than the input sentence while retaining its semantic meaning. Text polishing has great value in real usage and is an important component in modern writing assistance systems. However, the task is still not well studied in the literature. Further research in this important direction requires more formal task definitions, benchmark datasets, and powerful baseline models. In this work, we formulate the task as a context-dependent text generation problem and conduct a case study on the text polishing with Chinese idiom. To circumvent the difficulties of task data annotation, we propose a semi-automatic data construction pipeline based on human-machine collaboration, and establish a large-scale text polishing dataset consisting of 1.5 million instances. We propose two types of task-specific pre-training objectives for the text polishing task and implement a series of Transformer-based models pre-trained on a massive Chinese corpus as baselines. We conduct extensive experiments with the baseline models on the constructed text polishing datasets and have some major findings. The human evaluation further reveals the polishing ability of the final system.
The Implementation of E-Picture Strip Story in English Writing

In today’s digital era teachers get a challenge to increase students' creativity and motivation by using technology as a medium. The use of e-picture strip story as a technology-based media become one of the strategies to students in English writing. Picture strip story can help students’ develop critical thinking creativity in writing to create magnificent various text. This study aims to analyze the procedures used by the researcher in implementing e-picture strip story in writing class and analyze the challenges faced by students. This study uses qualitative research as a research method. The subjects of this study were class VIII at junior high school. Data were collected using an observation checklist and an interview guide. Both data collection methods allow triangulation of data to ensure data validity. The result of the data that has been collected is the procedure carried out by the researcher is to carry out three stages, namely; pre-activity, whilst-activity, and post-activity. Then, the other findings found there are three challenges that researchers and students face, namely; time management, material resources, and classroom atmosphere.
Dream the Same Dream: Design of Sustainable Value Chain Model in Education Industry Based on HMEAYC

The education industry is facing increasing pressure to enhance value for its stakeholders, including students, parents, educators, and society. To create more value, the traditional value chain needs to be restructured to be a new value chain that incorporates new activities and technologies. Based on Michael Porter's original theory of the value chain model, a sustainable value chain model for education businesses is proposed in this study based on the Holistic Music Educational Approach for Young Children (HMEAYC) to overcome the boundaries of traditional education organizations and add the value of education businesses in every sector of the education industry for stakeholders of education from academic scholars to children. The developed technology including artificial intelligence contributes considerably to the sustainable value chain, transforming the education industry and enabling personalized, high-quality education services.
METHODICAL ASPECTS OF DESIGN-PROJECTION IN THE COURSE OF FUTURE TEACHERS’ TECHNOLOGICAL EDUCATION

Analyzing the curricula and methods of professional future teacher training in higher education, we see that this educational process involves comprehensive mastering of knowledge in the field of art, functional-technological process, structures and materials science, formal composition, drawing and perspective, colorists in the organization of the environment, architecture, basics of environment design and the functional and constructive component of spatial composition.&#x0D; The analysis of the professional activity of specialists in the field of technological education shows that for successful design, the presence of knowledge of modern design-projection methods, engineering-technological foundations, tectonic regularities of the formation of objects of the subject environment, principles of combinatorial solution of the shape of the object being created. The lack of practical experience of university graduates leads to their difficult adaptation to pedagogical activities, which is a consequence of insufficient attention to the formation of special knowledge and skills, to the practical orientation of solving educational creative tasks related to professional activities in the field of design. The mentioned circumstances make it possible to consider the issue of the formation of special knowledge and skills in the process of design-projecting as relevant and timely.&#x0D; In this regard, design-projecting in the teacher's activity is characterized by the uniqueness of the search program, multivariate problem solving, and the ability to independently evaluate intermediate and final options, and choose an effective specific algorithm. Accordingly, we understand the teacher's creative project activity as an intellectual activity to ensure the quality of a technical solution from the point of view of functional, ergonomic, aesthetic, technological, and psychological factors. The conducted research does not exhaust all issues related to the formation of special knowledge and skills of higher education students in the design-projecting process and requires further improvement of the stages of quasi-professional educational activity, taking into account the optimal choice of methods for solving creative tasks, development of personal qualities of graduates of higher education institutions.&#x0D;
Coordination of Writing Processes: Toward a Parallel and Cascading Model

Writing competence is essential because it determines the level of quality that can be achieved in written work. This is accomplished by having the capacity to efficiently coordinate the various processes that go into writing. You must master this skill if you wish to improve your writing. In this paper, I'll put forth a broad theoretical framework for considering how writing processes should be coordinated. This model postulates that the processes involved in writing are active simultaneously, and the extent to which they overlap depends on the demands made on the writer's working memory by each activity. The information flow also spirals outward from the central processing level to the lower, more auxiliary levels. I review earlier research that have been done on word creation and the transmission of information from one level of processing in the writing system to the next in order to provide support for this point of view. I also look at studies examining how a person's handwriting abilities affect the simultaneous activation of higher order processes. I suggest that a parallel and cascading model facilitates the integration of several findings into a single, thorough framework and, as a result, serves as a heuristic for a more thorough comprehension of how the various levels of processing connected to writing are coordinated. This is so because a parallel and cascading model is made up of numerous parallel and cascading models that are connected to one another. This is due to the model's ability to include a wide variety of findings into a single, comprehensive framework.
Do cutaneous senses give more immersive experience in Virtual Reality?

Cutaneous senses give people better perceptions of the world. In this study, we argue that in the world of virtual reality, cutaneous senses can facilitate people's perception and judgment of specific objects. We adopted a blurred image of ice cubes to allow participants to identify what the objects were and record their time of distinguishing. The result is based on the volunteers we found. They were divided into two groups and only the group that received the cutaneous sense treatment was able to tell what the blurred photo was within 30 seconds. We discuss the findings and implications.
Developing modern infrastructure for support of continuing education of teaching staff: cluster-modular approach

The article describes a new approach to the design of the infrastructure of continuous professional development of teachers, when the stages of development of teachers are considered as clusters that take into account the nature of the educational and developmental needs of the subjects of postgraduate education. As a scientific basis for the construction of this model, the principles of productivity of teaching and development of a teacher, integration of his personal and professional competencies, practice orientation, reliance on experience, self-development and self-reflection of a specialist are proposed. These provisions are viewed in the projected cluster system as a model for supporting teachers&amp;apos; professional development. In this regard, the possibility of modernization of institutional forms of continuing education in the region is emphasized (Centers of professional excellence, resource centers based on innovative educational institutions, methodological services, self-education, informal and informational education, etc.), providing for the gradual development of the teacher, his personal and professional growth, the possibility of realizing creative potential. As a strategic task in this direction, the study of the innovative experience of the institutes of advanced training, including those organizing course and inter-course training of teaching staff, the implementation of various forms of continuing education support as a prerequisite for the introduction of a modular approach in the construction of a system of continuing education of teachers is determined.
Long-Term Mentoring for Computer Science Researchers

Reaching out across computer science research communities.
Web Scraping for Estimating new Record from Source Site

Study in the Competitive field of Intelligent, and studies in the field of Web Scraping, have a symbiotic relationship mutualism.In the information age today, the website serves as a main source.The research focus is on how to get data from websites and how to slow down the intensity of the download.The problem that arises is the website sources are autonomous so that vulnerable changes the structure of the content at any time.The next problem is the system intrusion detection snort installed on the server to detect bot crawler.So the researchers propose the use of the methods of Mining Data Records and the method of Exponential Smoothing so that adaptive to changes in the structure of the content and do a browse or fetch automatically follow the pattern of the occurrences of the news.The results of the tests, with the threshold 0.3 for MDR and similarity threshold score 0.65 for STM, using recall and precision values produce f-measure average 92.6%.While the results of the tests of the exponential estimation smoothing using α = 0.5 produces MAE 18.2 datarecord duplicate.It slowed down to 3.6 datarecord from 21.8 datarecord results schedule download/fetch fix in an average time of occurrence news.
Digital Technologies’ Role at the Modern Stage of Education Development: A Theoretical Digression

In the paper, the role of digital technologies at the present stage of education development is revealed at the theoretical level. The problems of updating digital educational technologies that meet modern realities caused by the COVID-19 pandemic are noted. There are several types of information and educational activities in the Internet space, such as educational and cognitive, search and cognitive, communicative and cognitive, informational and creative and entertaining and cognitive. The author presents definitions of the concepts of “digital competence” and “digital literacy” of a person and their role in the learning process. It is indicated that Internet technologies can be used at all levels of education, including pre-school, secondary, vocational secondary, higher, and teachers’ additional education. In conclusion, the main ideas and prospects for further research of the digital activity of the individual in the educational process are outlined.
The Influence of PBL vs PJBL Learning Models and Initial Knowledge on the Ability to Write Research Proposal

The low ability student in authorship research proposal becomes one of the big enough problems to remember to to compete in the field of education ability to write is a must for a student. Teacher need to apply suitable learning model in guiding students in writing research proposal in order to achieve target of learning. The research objective was to analyze differences and interaction in the ability to write research proposals between the PBL learning model and the PjBL learning model in high and low initial knowledge. This research was conducted with a non-equivalent control group design by applying a 2x2 factorial design to the experimental design. The research subjects were students in the second semester of the 2021/2022 academic year, in the Educational Technology study program at Adi Buana University, Surabaya, which consisted of 122 people. Subjects were taken randomly, and the number of members was 80 subjects. Furthermore, they were grouped into two classes according to the study design. The research hypothesis was tested with the Statistical Analysis of Variance (Anova). The results showed that (1) there were differences in the ability to write research proposals between students who studied with the PBL learning model and the PjBL learning model, (2) there were differences in the abilities to write research proposals between students with high prior knowledge and low, (3) there is no interaction between the learning model and prior knowledge on the ability to write research proposals.