Reviewerly/exHarmony huggingface dataset:
Development of an Android-Based Sign Language Education Game Using a Scrum-Game Approach

Sign language is used as a communication tool for deaf children.It is also used by non-disabled as a way of communicating with them.However, not all nondisabled understand sign language since knowledge of sign language is required.Based on interviews among non-disabled and deaf people, including relatives and teachers, they experience miscommunication due to the lack of communication skills using sign language and rely only on lip movements.Sign language is applied to a subject in the State Special School of Banjar City, consisting of BISINDO and SIBI with conventional learning.This research to produce game products for learning sign language can help deaf children learn sign language in schools, especially non-disabled who want to learn sign language.The method used for developing games sign language education uses the SCRUM-Game approach, UML models, BlackBox testing, and usability testing.The sprint iteration consists of two sprints that produce educational sign language games: Alphabet SIBI and BISINDO.Educational game testing uses BlackBox testing with the conclusion that all functionality valid.Usability testing of student deaf responders and nondisabled respondents for efficiency, memorability, and errors is categorized as good.Aspect satisfaction and learnability get an excellent score.Overall, the resulting educational games get a good score.Therefore it is proper to be used.
Analisis Efektivitas Pembelajaran Daring terhadap Hasil Belajar Kognitif Peserta Didik

The objective of this research is to analyze the effectiveness of online learning on the cognitive learning outcomes of students. The population used in this study were all students in class XI MIPA 3 to XI MIPA 7 SMA Negeri 14 Bandar Lampung in the academic year 2020/2021, which consist of 143 people using purposive sampling technique. This research design is a descriptive design by a survey approach. Data were analyzed descriptively referring to the Minimum Criteria of Mastery Learning with classical completeness requirements of &gt;60% and counting the number of respondents’ answers from each statement on the questionnaire.Based on the research results show that the cognitive learning outcomes of students achieve completeness of 60.4% classically and most of the learning outcomes of students are in the excellent category, which is 43.35%, so it can be concluded that online based learning is effective on the cognitive learning outcomes of students.
A Framework in Calibration Process for Line Structured Light System Using Image Analysis

Line structured light systems have been widely applied in the measurement of various fields. Calibration has been a hot research topic as a vitally important process of the line structured light system. The accurate calibration directly affects the measurement result of the line structured light system. However, the external environment factors, such as uneven illumination and uncertain light stripe width, can easily lead to an inaccurate extraction of light stripe center, which will affect the accuracy of the calibration. An image analysis-based framework in the calibration process was proposed for the line structure light system in this paper. A three-dimensional (3D) vision model of line structure light system was constructed. An image filtering model was established to equalize the uneven illumination of light stripe image. After segmenting the stripe image, an adaptive window was developed, and the width of the light stripe was estimated by sliding the window over the light stripe image. The light stripe center was calculated using the gray centroid method. The light plane was fitted based on the calibration points coordinates acquired by the camera system. In the measurement experiment of standard gauge block width, the maximum and minimum average deviations of 0.021 pixels and 0.008 pixels and the maximum and minimum absolute deviations of 0.023 pixels and 0.009 pixels could be obtained by using the proposed method, which implies the accuracy of the proposed method.
Chatterpix Kids: A Potential Mobile App for Helping Primary ESL Pupils Improve Their Speaking Fluency

The mastery of all four language skills has become one of the topmost priorities among English as a Second Language (ESL) learners worldwide. Despite multiple efforts taken to master the necessary skills, speaking remains to the most challenging skill for many Malaysian ESL learners. Previous studies suggest that Mobile-assisted Language Learning (MALL) for speaking has taken its first steps in Malaysian tertiary and secondary levels of education. However, there is still a paucity of research done on MALL at the primary level. The present case study therefore sought to fill in the gap by exploring how the ChatterPix Kids mobile app has helped 5 purposively selected Year 3 primary school pupils develop their speaking fluency. This was done through speaking practices conducted over 12 speaking lessons during the Movement Control Order (MCO) from their perspective. The pupils’ responses obtained through the semi-structured interviews were triangulated using the responses obtained from them through both a focus group and their parents’ feedback obtained through an open-ended questionnaire. The findings were thematically analysed. Seven themes were highlighted which indicate the crucial need to incorporate MALL for speaking among Malaysian primary school pupils. Further studies are recommended to be done on how ChatterPix Kids could be exploited when learning other language skills such as listening, reading, and writing. So far as the study’s limitations are concerned, there is a need to investigate how the pupils’ confidence could be sustained in the absence of the app when speaking in public.
Fault-tolerant quantum data locking

Quantum data locking is a quantum communication primitive that allows the use of a short secret key to encrypt a much longer message. It guarantees information-theoretical security against an adversary with limited quantum memory. Here we present a quantum data locking protocol that employs pseudorandom circuits consisting of Clifford gates only, which are much easier to implement fault tolerantly than universal gates. We show that information can be encrypted into $n$-qubit code words using order $n\ensuremath{-}{H}_{\mathrm{min}}(\mathsf{X})$ secret bits, where ${H}_{\mathrm{min}}(\mathsf{X})$ is the min-entropy of the plain text, and a min-entropy smaller than $n$ accounts for information leakage to the adversary. As an application, we discuss an efficient method for encrypting the output of a quantum computer.
Institutional identity of pedagogical education: problems and development trends

Introduction. The ongoing geopolitical and socio-economic global changes, undoubtedly, have a strong impact on educational systems in general and on the paradigm of pedagogical education in particular. The ability of educational ecosystems to anticipate possible changes, respond to them in a timely manner, and, ideally, to make these changes manageable, seems to be relevant. Materials and methods. Content analysis of pedagogical literature, source study method, comparative description, binary analysis, linguistic analysis. Results. The analysis of socio-cultural and educational tendencies, as well as the university trends and the actual trends in pedagogical education, let the authors conclude that pedagogical education faces an institutional crisis. Discussion. The post-critical phase of development of the pedagogical university’s institutional identity is represented by a stage of formation and implementation of a new institutional model of pedagogical education – Open Pedagogical Education of the Future (OPEF). The open transregional project-based educational institution trains personnel for constructing a knowledge economy; it is an innovational basic centre for improving pedagogues’ professional mastery, as well as a resource centre for advanced educational projects providing systemic training of innovation agents. Conclusion. The open pedagogical education of the future should become a basis for creating a new manageable educational and pedagogical reality which, in turn, will become a foundation of the new pedagogy.
Aplikasi Pengenalan Huruf dan Angka Menggunakan Pendekatan Realistik Berbasis Android

&lt;p&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;This research intends to create a letter and number recognition application for kindergarten with a realistic approach using Android. The outbreak of the Covid 19 pandemic has resulted online learning from the level of kindergarten to college students. The research method used was RnD (Research and Development) using ADDIE (Analysis, Design, Development, Implementation, Evaluation) approach. This research has come to the stage of limited trial. The result of this research was &lt;/span&gt;&lt;span lang="EN"&gt;the analysis stage, in which the researcher conducted a needs analysis at the research location, kindergartens in Jakarta. The design stage where the researcher created a design of the application and what buttons were needed in the screen display. The development stage where the researcher created an application that was ready to be tested in a simple and limited way to be able to see the inputs, advantages and disadvantages in the application. The next stage was an evaluation by creating improvements based on apkar input and the results of limited trials carried out at the implementation stage&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
Formalizing the Institution for Event-B in the Coq Proof Assistant

Abstract We formalize a fragment of the theory of institutions sufficient to establish basic facts about the institution "Image missing"<!-- image only, no MathML or LaTex --> for Event-B, and its relationship with the institution "Image missing"<!-- image only, no MathML or LaTex --> for first-order predicate logic. We prove the satisfaction condition for "Image missing"<!-- image only, no MathML or LaTex --> and encode the institution comorphism "Image missing"<!-- image only, no MathML or LaTex --> embedding "Image missing"<!-- image only, no MathML or LaTex --> in "Image missing"<!-- image only, no MathML or LaTex --> .
COMPETITIVENESS OF UNIVERSITY TEACHERS IN THE MULTILEVEL ENVIRONMENT OF HIGHER EDUCATION

One of the tasks of modern education is to ensure the sustainability of higher education in the ever-changing environment in the context of globalization and glocalization. Under these conditions, cooperation in higher education is becoming more important as one of the manifestations of competitiveness. Socio-economic changes caused by globalization, internationalization and digitalisation of higher education, as well as the current demographic situation in Europe, including Latvia, raise the issue of the competitiveness of academic staff in a multi-level, multi-context and multifunctional higher education environment. The aim of the study is: based on the interdisciplinary approach, including transfer approach from economics and business sciences to educational sciences, to theoretically substantiate the competitiveness of university teachers in interaction with the multi-context and multi-level higher education environment, as well as the competitiveness of universities. The following research methods were used: study, analysis, and evaluation of scientific literature (theoretical research method); the reflection of own (the article authors') academic and scientific experience (empirical research method). The results of the research show that two tendencies can be distinguished in the substantiation of the competitiveness of university academic staff: 1) economists and business scientists, based on competition theories, use basic knowledge, findings in the development of the substantiation of competitiveness; 2) representatives of educational sciences and psychology develop a philosophical methodological base for research of specialists' competitiveness within their branches of science. In their research, the authors combine both of these approaches in conducting interdisciplinary research. Research results show that the competitiveness of the academic staff can be viewed in several aspects: 1) as a set of different characteristics (qualities) which are considered to be competitive advantages: 2) characteristics of competitive activities manifestations in the higher education environment. Three levels of the higher education environment are important in assessing the competitiveness of university teachers: the level of the local higher education environment (university level), the level of the national higher education environment and the level of the global higher education environment.
Estimation System For Late Payment Of School Tuition Fees

The Surakarta Al-Islam Vocational School is a private educational institution that requires all students to pay school tuition fees. Education is an obligation for all Indonesian citizens. The cost of education is one of the most important input components in implementing education. Because cost is the main requirement in achieving educational goals. SPP School is a routine school fee that is carried out every month. Based on last year's School Admin report, many students were late in paying school tuition fees, around 60%. This is a very big problem because the income of school funds comes from school tuition. The purpose of this research is that the researcher will build a prediction system using the best classification method, which is to compare the accuracy level of the Naïve Bayes method with the K-K-Nearest Neighbor method. Because both methods can make class classifications right or late, in paying school fees. processing using dapodic data for 2017/2018 as many as 236 data. In improving accuracy, the researcher also applies feature selection with Information Gain, which is useful for selecting optimal parameters. System testing is carried out using the Confusion Matrix method. The final results of this study indicate that the Naïve Bayes Method + Information Gain Method produces the highest accuracy, namely 95% compared to the Naïve Bayes method alone, namely 85% and the K-NN method, namely 81%.
EXPERIENCE OF INTRODUCING CLOUD TECHNOLOGIES

Modern education is closely connected with widespread digital technologies, through which communication, collaboration, creativity, and innovation can be organized. The aim and objectives of the article consist in describing the experience of real experience with cloud technologies on the example of a municipal organization (institution, establishment) “Shostka educational complex: specialized school of I-II degrees-lyceum of Shostka town council of Sumy region”. To test the effectiveness application of cloud computing technologies in the educational process of the institution, experimental work was carried out, as a result of which carried out: analysis of the possibility application of cloud computing technologies in the learning process; determination of pedagogical conditions application of cloud computing technologies in the learning process; testing the effectiveness of certain pedagogical conditions.Assessment of the possibility of using the selected technologies in education was carried out according to the results of a survey of all participants in the study. This stage made it possible to determine the main directions of research, take into account the possible obstacles to their use.To implement the selected pedagogical conditions, guidelines for teachers on the use of these technologies in the learning process were developed, which contain a set of methods and techniques for organizing lessons, ways to implement a business game, cluster, senkan, fishbone, comparison chart, brainstorming .Organizing the educational process with the help of cloud technology is one of the priority areas of updating modern education that allows not only to improve the quality of education, but also to achieve a new level of relations between participants in the educational process at all stages of teaching. They help teachers work not only with children but also with their parents.During the transition to the new educational standards, cloud technologies contribute to forming a new digital culture of teachers and students. Their applying in the educational allows to make the educational space open.
The Obstacles of Scientific Productivity Among Faculty Members at Palestine Technical University – kadoorei: Field Study: معوّقات الإنتاجية العلمية لدى أعضاء هيئة التدريس في جامعة فلسطين التقنية-خضوري: دراسة ميدانية

This study aimed at investigating the obstacles of scientific productivity among faculty members at Palestine Technical University – kahdoorei, and identifying the effect of different variables of the study such as (Gender, Academic Rank, College, and Years of Experience) on the faculty members' opinions about the obstacles of scientific productivity. The study was conducted during the second semester of the academic year (2018-2019) with an objective sample of (91) Individuals which represents (77%) of the study population which makes (118) members the faculty of the Technical University of Palestine. The two researchers developed a study instrument a questionnaire of (31) items which measures the obstacles of scientific productivity among faculty members of the Technical University of Palestine – kahdooreif. The validity and stability of the study instrument were verified with a stability coefficient of (0.92). The findings of this study indicated that the level of scientific productivity constraints among faculty members at the Technical University of Palestine- kahdoorei is generally high. The study also indicated that there were no statistically significant differences in the level of scientific productivity in the faculty of the Technical University of Palestine- kahdoorei attributed to the gender variable, the scientific rank, and the years of experience. The researchers of this study recommends that there is a need to provide a cadre of research assistants in the university laboratories; to reduce the academic load on faculty members when they are assigned administrative tasks, and to provide providing training courses for faculty members in the field of scientific research and language skills as well as the use of the Internet and global database.
Higher-Order Lookup Table Masking in Essentially Constant Memory

Masking using randomised lookup tables is a popular countermeasure for side-channel attacks, particularly at small masking orders. An advantage of this class of countermeasures for masking S-boxes compared to ISW-based masking is that it supports pre-processing and thus significantly reducing the amount of computation to be done after the unmasked inputs are available. Indeed, the “online” computation can be as fast as just a table lookup. But the size of the randomised lookup table increases linearly with the masking order, and hence the RAM memory required to store pre-processed tables becomes infeasible for higher masking orders. Hence demonstrating the feasibility of full pre-processing of higher-order lookup table-based masking schemes on resource-constrained devices has remained an open problem.&#x0D; In this work, we solve the above problem by implementing a higher-order lookup table-based scheme using an amount of RAM memory that is essentially independent of the masking order. More concretely, we reduce the amount of RAM memory needed for the table-based scheme of Coron et al. (TCHES 2018) approximately by a factor equal to the number of shares. Our technique is based upon the use of pseudorandom number generator (PRG) to minimise the randomness complexity of ISW-based masking schemes proposed by Ishai et al. (ICALP 2013) and Coron et al. (Eurocrypt 2020). Hence we show that for lookup table-based masking schemes, the use of a PRG not only reduces the randomness complexity (now logarithmic in the size of the S-box) but also the memory complexity, and without any significant increase in the overall running time. We have implemented in software the higher-order table-based masking scheme of Coron et al. (TCHES 2018) at tenth order with full pre-processing of a single execution of all the AES S-boxes on a ARM Cortex-M4 device that has 256 KB RAM memory. Our technique requires only 41.2 KB of RAM memory, whereas the original scheme would have needed 440 KB. Moreover, our 8-bit implementation results demonstrate that the online execution time of our variant is about 1.5 times faster compared to the 8-bit bitsliced masked implementation of AES-128.
Task Allocation for Affective Robots Based on Willingness

Affection is regarded as a new solution to coordinate task allocation problems in the multi-robot system. In this paper, we proposed an interpretable and computational affection model based on willingness and a new personality model named CASE to measure the heterogeneity of the robot. Emotion contagion model is used to calculate affective interaction among robots, and we use willingness to quantify the impact of affective factors on task allocation and as an important factor for task allocation. Task allocation algorithm is designed for affective robots, and simulate the application of the affection model at task allocation by a typical example. It displays the characteristics and novelty of affection in task allocation and to verify the correctness, effectiveness, and novelty of affective robot task allocation algorithm. The result of the simulation experiment shows that affective robots in multi-robot cooperation systems obtain a better solution than rational robots and express the state of the art of task allocation for effective robots.
Vehicle Detection using Haar and HOG Feature Extraction Algorithms and SVM with Speed Estimation

As a result of many accidents and over speeding, improving safety and traffic management are the most important goals of the Advanced Driverless Assistance Systems (ADAS). Therefore it is important to find a solution to these issues which is cost effective and accurate. So, in order to achieve better performance of detection and speed tracking of multiple vehicles at the same time in an extremely busy and fast moving urban environment, we propose a vision-based two-step detection vehicle tracking system by combining the Histogram of Oriented Gradients and Haar Features algorithms. These algorithms work together as HOG firstly carries out feature extraction of the target vehicle and then the Haar features uses the edge features to extract the prospect of the Region of Interest (ROI). Later the extracted HOG features which are obtained from the ROI are then classified by using Support vector machines (SVM). The proposed method uses an SVM classifier to classify the extracted images into vehicle and non-vehicle images. This approach makes it clear that the vehicle in real time is indeed an actual vehicle and makes the model accurate. Experimental results illustrate the precise and accurate multiple vehicle detection in different scenarios.
Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems

In goal-oriented dialogue systems, users provide information through slot values to achieve specific goals.Practically, some combinations of slot values can be invalid according to external knowledge.For example, a combination of "cheese pizza" (a menu item) and "oreo cookies" (a topping) from an input utterance "Can I order a cheese pizza with oreo cookies on top?" exemplifies such invalid combinations according to the menu of a restaurant business.Traditional dialogue systems allow execution of validation rules as a post-processing step after slots have been filled which can lead to error accumulation.In this paper, we formalize knowledge-driven slot constraints and present a new task of constraint violation detection accompanied with benchmarking data.Then, we propose methods to integrate the external knowledge into the system and model constraint violation detection as an end-to-end classification task and compare it to the traditional rule-based pipeline approach.Experiments on two domains of the MultiDoGO dataset reveal challenges of constraint violation detection and sets the stage for future work and improvements.