Reviewerly/exHarmony huggingface dataset:
DIGITAL TEACHING COMPETENCE AND ONLINE TEACHING IN TIMES OF CONFINEMENT

How can we assess the level of digital teaching competence after having fully worked in an online scenario without any prior foresight.We take advantage of the unusual confinement stage to assess how high school teachers develop in classes and virtual monitoring of students. The work carried out during these months has made the training and technical needs of teachers more evident. For this reason we analyze their digital competence, evaluate how they have done their job and propose new training measures, learning tools and assess their ability to invent, create and evaluate online.All this in order to improve the relationship between teachers and students and provide teachers with strategies to deal with new stages and changing stages throughout the teaching process.We perform this analysis in 5 secondary schools in the east of the island of Mallorca. We have a sample of 500 teachers. We use the digcompedu questionnaire as a tool and add items to assess confinement time.We will be able to compare the differences between the different centers and between the different educational levels. Taking into account the particularity of each center and the diversity of its students.The results can give management teams real and up-to-date information on the needs of their faculty, knowledge of applications, networking, working with other teachers ...And we draw conclusions for the improvement of online learning, digital issues and value digital teaching competence.
Analyzing student performance in secondary education examination using logistic regressions

The performance of the school examination results (CGPA) of 533 students who were admitted to higher secondary school in management stream of 2073 in Dolakha district was analyzed by examining their cumulative grade point average (CGPA) using binary logistic regression model. Factors affecting the CGPA were investigated. The factor that significantly influenced the CGPA in Secondary Education Examination (SEE) was types of schools. Other factors including gender and teaching language were found to be statistically not significant.
Discrete Hermite Wavelet Filters with Prove Mathematical Aspects

This article describes a new image processing method in order to enhance the images under testing based on discrete Hermite wavelet filter. Discrete Hermite Wavelet Transform, which was used in image processing, including compression and noise removal was used after a number of theories proved to be mathematically ready for use in image processing. Through Discrete Hermite Wavelet Transform at different levels by finding a new filter and using it to find peak-to-noise ratio values (PSNR), compression ratio, mean square error (MSE) and bits per pixel found. Achieving a high compression ratio is acquired by using a new image decomposition algorithm. Bit reduction per pixel is obtained at the second level when increasing the level of decomposition to obtain compression ratio while PSNR is decreased with the basic wavelets, due to the features that characterize Discrete Hermite Wavelet Transform. A new filter was discovered more efficient and effective in reducing the error significantly in rebuilding, MSE and bits per pixel, the samples image is used show efficient intermittent wavelets that were built in this work. This method enabling to extract the integration matrices using Hermite wavelet operation matrix of integration that leads to improve the quality of images under testing. The obtained results for decreasing of and increasing of confirm the accuracy and effectiveness of the proposed method. These results can be used in many fields such as medicine, science treatment, compression, and noise removal images.
COMPARATIVE ANALYSIS OF THE PROCESS OF SEARCHING FOR ANSWERS IN A TEXTUAL SOURCE AND WITH THE HELP OF AN INTELLECTUAL ELECTRONIC BOOK

Рассматривается сравнение эффективности поиска решения по тексту на основе стандартных средств ИТ-технологий и при помощи нового варианта интеллектуальной электронной книги - элинга. Применяется база знаний на основе молинг для текста, используемого в эксперименте. The article deals with the comparison of the effectiveness of searching for a solution in the text using the standard means of IT technologies and with the help of a new version of an intelligent electronic book - elinga. A knowledge base of molingas is applied to model the text used in the experiment. Higher quality of solutions found and potentially higher speed of search are demonstrated.
Guides: Digital Newsstand - Pepperdine Libraries Online Newspapers and Magazines: Popular Newsstand Magazines

This guide offers a starting point in finding current news publications via Pepperdine Libraries. Includes U.S. news, international news, & more. Includes info on how to register for NYT & WSJ accounts & instructions on using Flipster Digital Magazines.
IMPROVING STUDENT ENGAGEMENT AND COURSE COMPLETION USING CHATBOT APPLICATION

A. Čižmešija, A. Horvat, D. Plantak VukovacUniversity of Zagreb, Faculty of Organization and Informatics (CROATIA)
Temporal Feature Networks for CNN based Object Detection

For reliable environment perception, the use of temporal information is essential in some situations. Especially for object detection, sometimes a situation can only be understood in the right perspective through temporal information. Since image-based object detectors are currently based almost exclusively on CNN architectures, an extension of their feature extraction with temporal features seems promising. Within this work we investigate different architectural components for a CNN-based temporal information extraction. We present a Temporal Feature Network which is based on the insights gained from our architectural investigations. This network is trained from scratch without any ImageNet information based pre-training as these images are not available with temporal information. The object detector based on this network is evaluated against the non-temporal counterpart as baseline and achieves competitive results in an evaluation on the KITTI object detection dataset.
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

Recent progress in deep reinforcement learning (DRL) can be largely attributed to the use of neural networks. However, this black-box approach fails to explain the learned policy in a human understandable way. To address this challenge and improve the transparency, we propose a Neural Symbolic Reinforcement Learning framework by introducing symbolic logic into DRL. This framework features a fertilization of reasoning and learning modules, enabling end-to-end learning with prior symbolic knowledge. Moreover, interpretability is achieved by extracting the logical rules learned by the reasoning module in a symbolic rule space. The experimental results show that our framework has better interpretability, along with competing performance in comparison to state-of-the-art approaches.
Mobile phone use for instructions in Senior High Schools in Ghana: Views and opinions of university students: Mobile phone use for instructions in Senior High Schools in Ghana

The purpose of this research was to explore the opinions of second year university students on mobile phone usage and effects in Senior High Schools in Ghana. This was necessary because while the Ministry of Communication and Ministry of Education have disclosed the intention to allow the use of mobile devices in High Schools, the Ghana Education Service insists on banning their use. The study adopted the exploratory and descriptive research methods to explore the opinions of 68 second year students of a public university in Ghana. The study found that there are indeed some educational benefits if Senior High School Students are allowed to use phones in schools. However, the device can also be a deadly destructive tool for students and can make them perform poorly in their academic work. In this regard as stake holders in charge of education in Ghana are still contemplating on whether or not to allow the use of mobile phones in high schools, all the necessary considerations must be done, before the final decision is taken
Ordered fragments of first-order logic

Using a recently introduced algebraic framework for the classification of fragments of first-order logic, we study the complexity of the satisfiability problem for several ordered fragments of first-order logic, which are obtained from the ordered logic and the fluted logic by modifying some of their syntactical restrictions.
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT

Sentence ordering aims to arrange the sentences of a given text in the correct order. Recent work frames it as a ranking problem and applies deep neural networks to it. In this work, we propose a new method, named BERT4SO, by fine-tuning BERT for sentence ordering. We concatenate all sentences and compute their representations by using multiple special tokens and carefully designed segment (interval) embeddings. The tokens across multiple sentences can attend to each other which greatly enhances their interactions. We also propose a margin-based listwise ranking loss based on ListMLE to facilitate the optimization process. Experimental results on five benchmark datasets demonstrate the effectiveness of our proposed method.
An Efficient Way of Handling Large Scale Web News Data using Data Mining Techniques

Web mining is an application of data mining techniques to find information patterns and relationship from the web data. Web mining is applied to less structured data or unstructured data, dynamic or large scale data. The aim of this paper is to find efficient algorithm for web news mining with the objectives of analysis of web news data using Data Clustering and Classification Techniques. Determine the best way of application of algorithm on web news data is carried out in this paper as well as determining the accuracy of web news dataset using data mining tools and techniques.
Personalized Publishing of Data with Multiple Sensitive Attributes based on Sensitivity Level

Data publishing scenario without compromising privacy and utility is challenging and essential forindividuals, researchers and data providers. Much of the research work in this direction assumes that eachindividual is associated with only one record in a dataset and has only sensitive attribute, which really isnot realistic in real world scenarios. If the person possessing multiple sensitive attributes appears morethan once in the dataset, several privacy breaches might take place. The practical scenarios in privacypreserving data publishing with each individual appearing multiple times and each occurrence havingmultiple sensitive attributes has not attracted much attention of researchers. We call such datasets as(1:M:N)-datasets. This paper attempts to provide a new privacy model, (k,l,s)-covering model that tends toexposure chances in (1:M:N)-dataset distributing.This paper also includes personalization where a userhas the privilege to specify whether to disclose the data or not. We also present an effective generalizationalgorithm, (1:M:N)-generalization, as part of the model, to retain privacy and the same time provide utilityfor the published data. The model is tested on real world datasets and the results showed excellentimprovement with respect to utility of the data and execution time when compared to other existingapproaches
FIE AS A FORM OF PRE-SENIOR EDUCATION

Appears in: INTED2021 Proceedings Publication year: 2021Pages: 2681-2685ISBN: 978-84-09-27666-0ISSN: 2340-1079doi: 10.21125/inted.2021.0569Conference name: 15th International Technology, Education and Development ConferenceDates: 8-9 March, 2021Location: Online Conference
OPPORTUNITIES AND CHALLENGES OF APPLICATION OF VIRTUAL LEARNING ENVIRONMENT IN PRIMARY EDUCATION

With the annual improvement of information technologies the increasingly growing need for virtual learning in education sector is noted. It is obvious there was a real outbreak of virtual learning in education in the beginning of 2020. When the whole world faced the pandemic of COVID-19 virus, the education process and content for every age group had to be transposed into virtual learning environments. Thus, when Lithuania announced quarantine from 16 March 2020, the teachers had to change their work methods and they had to rearrange the whole education system in a very short time. If the virtual learning was only fragmented before, currently it has become the only way for communication with students and their parents. The greatest challenge was how, with the help of smart devices, to create the involving atmosphere, keep the students focused and interested and to preserve the sense of belonging of the class and their willingness for dialogue.This article analyses what challenges are faced by primary teachers when applying education only in virtual learning environment and how the application of virtual learning environment affected the learning process of students. The results of empirical research revealed that in primary education process the use of virtual learning environment allowed more active development of students’ responsibility for learning achievements, encouragement of students’ learning motivation and independent learning process planning and management. In turn, the pedagogues faced some specific challenges: they had to assimilate the knowledge and skills of information technology management within a very short period of time, explore reliable and user-friendly tools and platforms of information technologies where to store and share learning material for students, provide feedback, evaluate them and ensure their self-evaluation, they needed abundant efforts to find the most appropriate strategies of collaboration with parents.
Close down all commissioning temporary defeats, commissioning faults, and modification paperwork systems

This chapter addresses the closeout of defeat systems and faults.
FAKTOR-FAKTOR YANG MEMPENGARUHI IMPLEMENTASI PERMENDIKBUD NO.75 TAHUN 2016 DI SMK NEGERI BANJARMASIN

ABSTRACTOne example of the administration of education which involves the role and function of the School Committee can be observed in the city of Banjarmasin. Banjarmasin City Education Office seeks to change so that each school has facilities and infrastructure that can support teaching and learning activities outside of school through the School Committee. Good facilities and infrastructure facilities can support teaching and learning activities outside of school so that it is expected that each student can gain additional skills and knowledge from teaching and learning processes outside of school. Through community school committees can carry out various roles in the implementation and quality control of education services through the role of individuals, groups, families, professional organizations, employers, and social organizations. The study of strategies for developing community participation in education funding at State Vocational Schools in Banjarmasin as a result of the implementation of Permendikbud Nomor 75 Tahun 2016 and analyzing what factors make the implementation of Permendikbud Nomor 75 Tahun 2016 difficult to implement uses qualitative methods based on George C Edward's theory III produced findings that funding in schools that were previously with a collection system with the amount of payment that has been determined and agreed based on the school committee meeting, then with the implementation of the Permendikbud, it could no longer be done because the community meant that the contribution was voluntary, may contribute and may not. Based on these problems, the school is trying to find new breakthroughs to increase community participation in education funding to support funding in schools by developing Production Units (UP) and the community is expected to be directly involved in utilizing products produced by vocational students so that the problem of lack of funding at school can be overcome.
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks

We introduce SketchGNN, a convolutional graph neural network for semantic segmentation and labeling of freehand vector sketches. We treat an input stroke-based sketch as a graph, with nodes representing the sampled points along input strokes and edges encoding the stroke structure information. To predict the per-node labels, our SketchGNN uses graph convolution and a static-dynamic branching network architecture to extract the features at three levels, i.e., point-level, stroke-level, and sketch-level. SketchGNN significantly improves the accuracy of the state-of-the-art methods for semantic sketch segmentation (by 11.2% in the pixel-based metric and 18.2% in the component-based metric over a large-scale challenging SPG dataset) and has magnitudes fewer parameters than both image-based and sequence-based methods.
EXPERIENCES OF PUPILS AND TEACHERS WITH DISTANCE EDUCATION AT PRIMARY SCHOOL

Technology affects the world, people's thinking, learning goals and the learning environment. Humanity is in a situation where it cannot do without technology in its personal or professional life. However, technology must be used efficiently and with quality. Pupils need to be guided in the use of technology to help them grow personally and achieve life goals. The same applies to pupils with disabilities.The effective use of digital technologies is undoubtedly an important condition for the implementation of quality education, including distance learning.As a result of the COVID-19 pandemic, the personal presence of pupils at schools was banned for a significant part of the second half of the 2019/2020 school year. Schools were forced to completely switch to distance learning for some time. The article deals with the experience of pupils and teachers with distance education at primary school in this period. This extraordinary situation, for which schools, teachers, pupils and parents were not systematically prepared, brought a completely new element to the teaching and learning process. The effects of these emergency measures were both positive and negative. The consequences of this situation are reflected in the period of the following school year 2020/2021. Monitoring and evaluation of these impacts on the preparation, organization and form of teaching, the work of school principals and teachers as well as on the educational results of pupils led to the construction of conclusions and recommendations for the education of pupils in the following period. There is the same situation at the present time. Schools were forced to switch to distance learning again.Empirical research was carried out by survey methods (questionnaire, discussion, interview).The article reports back how teachers and students managed distance learning during the COVID-19 pandemic.
USING OF EXPLICIT INSTRUCTION METHOD IN IMPROVING STUDENTS’ GRAMMAR ABILITY IN SIMPLE PRESENT TENSE AT CLASS X3 OF SMA NEGERI 4 LEIHITU

Based on the preliminary study, almost students usually have some problems in finding out the verb form of simple present tense. There are omissions of be, and suffix -s/-es. It shows that students’ grammar ability is low in simple present tense. The research questions are how can explicit instruction method improve students’ grammar ability in simple present tense? And what are students’ responses about using explicit instruction method during teaching learning process? Its significant are for students, they have grammar ability in using simple present tense well. And they are accustomed to use the correct verb of simple present tense. Then, for teacher, is to provide the better method for teaching grammar. And the Explicit Instruction method helps the teacher to variety his or her instruction of teaching grammar. Type of this research is classroom action research by using Explicit Instruction method. It is conducted at SMA Negeri 4 Leihitu in Seith village of Central Maluku. The subject is the first grade of class X3 with the total number 20 students. The research has been done in three cycles consisted of three times of meeting in each cycle during four weeks. And every last meeting of each cycle, researcher conducted a test to measure students’ improvement. And the pre- test of students’ result show the mean 29,5 at the poor level. Then, in the first cycle, the students’ mean add 52,9 at the poor level. And the second cycle, the students’ mean increase 65 which show at the average level. And the last cycle, students’ mean improve highly 78 which shows at the good level. Finally, students show the good progress. They have been able to use the simple present tense of auxiliary verbs in sentences, determine the correct verbs of the subject-verb-agreement and transform the verb of the third singular person well
The use of innovative technologies in the context of renewed research training for preschool professionals

This article discusses issues of innovative technologies implementation in the context of updating the research training of preschool education specialists. The review of pedagogical and psychological literature, regulatory documents, domestic and foreign practice has been carried out. As a result of generalization of theoretical materials and their systematization, the ways, stages, tendencies of implementation of innovative technologies are determined. The results of a survey of the 2nd year students in “Pedagogy of preschool education and training” are presented in order to identify interest and motivation for the effective use of innovative technologies in practice.
Developing collaboration tool for virtual team using UML models

&lt;span&gt;Computer aided software engineering (CASE) uses the unified modelling language UML to produce executable code to visualize software architectural blueprint systems. UML is a standard software modeling language for specifying, constructing, documenting and visualizing the artifacts of produced software-intensive systems. However, UML lacks virtual collaboration regardless of their geographical location. The present work developed a prototype of web-based CASE tool that enables UML modes to manage software projects as a virtual collaboration tool. The present methodology starts with the specification of a set of UML triplets; then, the tool generates the visual models automatically with high quality SVG graphs. The system eliminates the manual diagram requirements based on the UML possibility and supported by three diagrams that involves class and use cases. The independent scripting language was PHP7 and MYSQL 8.0 which was used to save the system data.&lt;/span&gt;
INSTAGRAM AS A VIRTUAL TEACHING RESOURCE IN UNIVERSITY EDUCATION

P. García-Herrera , P. Morales-Gómez, M.C. Matallana-González, R.M. Cámara-Hurtado, E. Cebadera-Miranda, M. Ciudad-Mulero, L. Domínguez-Díaz, E. Niño-Vega, M.C. Sánchez-MataUniversidad Complutense de Madrid (SPAIN)
ESCAPING GLOBAL WARMING: A CASE STUDY FOR DIGITAL AND EDUCATIONAL ESCAPE ROOMS

Appears in: INTED2021 Proceedings Publication year: 2021Pages: 1350-1355ISBN: 978-84-09-27666-0ISSN: 2340-1079doi: 10.21125/inted.2021.0313Conference name: 15th International Technology, Education and Development ConferenceDates: 8-9 March, 2021Location: Online Conference