Reviewerly/exHarmony huggingface dataset:
Immersive Intelligent Tutoring System for Remedial Learning Using Virtual Learning Environment

Intelligent Tutoring System (ITS) has been widely used in supporting personal learning. However, there is an aspects that have not become focus in ITS, namely immersive. This research proposes an Immersive Intelligent Tutoring (IIT) model based on Bayesian Knowledge Tracing (BKT) for determining the learner’s characteristics and learning content delivery strategies using genetic algorithms. The model uses remedial learning with a faded worked-out example. This study uses a 3-Dimensional Virtual Learning Environment (3DMUVLE) that implements immersive features to increase intrinsic motivation. This model was built using a client / server architecture. The server side component uses the MOODLE, the client side component uses OpenSim and its viewers, and the middleware component uses the Simulation Linked Object Oriented Dynamic Learning Environment (SLOODLE). Model testing is performed on user acceptance using a combination of Technology Acceptance Model (TAM) and Hedonic-Motivation System Adoption Model (HMSAM) and the impact of the model in learning using statistical test. The results showed 83% of the learners felt happy with the learning. Meanwhile, the evaluation of the impact on learning outcomes shows that the use of this model is significantly different from traditional learning.
Physics Problem-Solvers on Why They Generate Unprompted Diagrams

Previous work has shown that many physics students will draw unprompted diagrams while solving physics problems.These diagrams are distinct from prompted student-generated diagrams in that they tend to be smaller and contain fewer details, an unsurprising finding given that these two types of diagrams are generated for different reasons.In this study, we expand and elaborate on reasons physics problem-solvers generate diagrams and the differences between unprompted and prompted diagrams by analyzing a set of 10 interviews with undergraduates, graduates, postdocs, and faculty in physics.Interviewees were given several physics problems and diagramming tasks to anchor a subsequent conversation about diagramming while problem solving.In these conversations, participants reported that their unprompted diagrams help them: understand the situation and question; store, organize, and prioritize information; support solution strategies; and communicate information.Participants also shared their beliefs about the limitations of diagrams, including when they are not useful or stop being useful, as well as difficulties with generating diagrams.
Discovery Learning: Definisi, Sintaksis, Keunggulan dan Kelemahan

This article aims to provide a simple and clear guidance for school teachers, student-teachers and also in service-teachers in designing lesson plans using Discovery Based Learning. Though there are lots of books, articles, and other sources have discussed the topic, it still be problem for some of those teachers in arranging lesson plan. Based on the writer’s experience in teaching Micro Teaching classes and PPG PAI class, the students seemed to have difficulties in planning the syntaxes of Discovery Learning systematically and set the class activities properly in every syntax. They sometimes, could not able to distinguish the syntaxes of the method from others, even though it is one of the methods suggested and recommended in Curriculum 2013 and have been used widely. To help the students and the teachers, this article supports them with clear definition and the origin of the method, along with its systematic syntaxes, strengths and also weaknesses.
Full monitoring of ensemble trajectories with 10 dB-sub-Heisenberg imprecision

Abstract The change of a quantum state can generally only be fully monitored through simultaneous measurements of two non-commuting observables $$\hat{X}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mrow> <mml:mi>X</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>̂</mml:mo> </mml:mrow> </mml:mover> </mml:math> and $$\hat{Y}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mrow> <mml:mi>Y</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>̂</mml:mo> </mml:mrow> </mml:mover> </mml:math> spanning a phase space. A measurement device that is coupled to the thermal environment provides at a time a pair of values that have a minimal uncertainty product set by the Heisenberg uncertainty relation, which limits the precision of the monitoring. Here, we report on an optical ensemble measurement setup that is able to monitor the time-dependent change of the quantum state’s displacement in phase space ( $$\langle \hat{X}(t)\rangle ;\langle \hat{Y}(t)\rangle$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>⟨</mml:mo> <mml:mover> <mml:mrow> <mml:mi>X</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>̂</mml:mo> </mml:mrow> </mml:mover> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mi>t</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>⟩</mml:mo> <mml:mo>;</mml:mo> <mml:mo>⟨</mml:mo> <mml:mover> <mml:mrow> <mml:mi>Y</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>̂</mml:mo> </mml:mrow> </mml:mover> <mml:mrow> <mml:mo>(</mml:mo> <mml:mrow> <mml:mi>t</mml:mi> </mml:mrow> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>⟩</mml:mo> </mml:mrow> </mml:math> ) with an imprecision 10 dB below the Heisenberg uncertainty limit. Our setup provides pairs of values ( X ( t i ); Y ( t i )) from simultaneous measurements at subsequent times t i . The measurement references are not coupled to the thermal environment but are established by an entangled quantum state. Our achievement of a tenfold reduced quantum imprecision in monitoring arbitrary time-dependent displacements supports the potential of the quantum technology required for entanglement-enhanced metrology and sensing as well as measurement-based quantum computing.
Multi-Learning Techniques for Enhancing Student Engagement in Cybersecurity Education

Systems and the lead faculty of Digital Communication Systems concentration for the Consortium Universities of the Ph.D
The characteristics of the educational paradigm of the near future: cultural context

There are insufficient resources to continue with the existing educational paradigm. This article analyses the natural dynamics of educational paradigms and sets out an educational model for the near future. The research examined basic educational patterns and their current state of development, and investigated the barriers to improving the quality of education and how they may be overcome. It offers a criticism of existing educational paradigms and how they have changed over time, and then constructs proposals for a number of features of a new educational paradigm. This leads to the formulation of a new educational paradigm for the near future with a number of distinctive features. At its centre are ideas of transformation ‘gates’ of education and their functional invariants. The notions set out in the article are intended for developers of educational systems, environments, and programs for rapidly maturing students and adults. This will enable us to overcome the deficiencies in current approaches to education, and focus on advanced mastery of the future, in which the current educational standards are extremely out of date.
Word Level Similarity Auto-Evaluation for an Online Question Answering System

Over the last decade, the educational system has undergone numerous changes, the most significant of which is the shift in learning and examination methods. Educational institutions are gradually going into online instruction and education, which is altering students' and parents' perceptions of learning. The scenario of Covid-19 has seriously raised demand for online subjective examination and evaluation process to be automated. Paraphrasing is the challenge while designing and evaluation an fully automated Question Answering System. This paper has shown the word level similarity for evaluation one word answer of fill in the blank types of question taken in real time scenario.
Desarrollo de Objetos virtuales de aprendizaje durante la práctica medios y mediaciones como una estrategia pedagógica de educación ambiental en: biodiversidad y ecosistemas aves en la Licenciatura de Biología de la Universidad Santo Tomás en el 2021

The present research aims to develop pedagogical strategies through virtual learning objects that integrate the observation of birds in ecosystems within the pedagogical practice, media, and mediations in such a way that the teachers in the training of the degree in Biology in the venues from Bogotá, Chiquinquirá, and Sincelejo during 2021, incorporate into their teaching work technological elements that allow the teacher in training, to teach their academic spaces in schools using innovative tools that generate appropriation by students about the ornithological biodiversity that Colombia has, in addition to that it seeks to propose birds as a comprehensive strategy that links disciplinary and pedagogical knowledge that contributes to environmental education
Research on Transitional Education of Freshmen Majoring in Software Engineering

In China, entering higher education is an ideal for parents and students to study hard for 12 years.They have made a lot of efforts in time and economy.However, because the goal of students in high school tends to be single, academic achievement has become the capital for students to be proud at this stage.However, after arriving at the University, due to the lack of direction and guidance in the goal, their choice is often poor in purpose, stability and persistence.Most students are addicted to the Internet, love and various student community activities.So, as university educators, how to make them complete the transition from high school to university life will be an important topic.From the perspectives of students, teachers and schools, this paper will analyze and explore the problems existing in the Transitional Education of freshmen majoring in software engineering in Beijing University of technology.At the same time, from the aspects of College Students' physical and mental health, ideological and cultural education, the guidance of the engineering education objectives of this major, a variety of measures to optimize the curriculum system Teachers' self-improvement and the overall improvement of the school give the corresponding specific countermeasures.I hope it can give some enlightenment to relevant educators.
Building Dataset and Morpheme Segmentation Model for Russian Word Forms

The paper describes a way to generate a dataset of Russian word forms, which is needed to build an appropriate neural model for morpheme segmentation of word forms.The developed generation procedure produces word forms segmented into morphs that are classified by morpheme types, based on existing dataset of segmented lemmas and additional dictionary data, as well as fine-grained classification of Russian inflectional paradigms, which makes it possible to correctly process word forms with alternating consonants and fluent vowels in endings.The built representative dataset (more than 1,6 million word forms) was used to develop a neural model for morpheme segmentation of word forms with classification of segmented morphs.The experiments have shown that in detecting morphs boundaries the model has comparable quality with the best segmentation models for lemmas (98% of F-measure), slightly outperforming them in word-level classification accuracy (with score 91%).
PELATIHAN PEMROGRAMAN KOMPUTER DENGAN VISUAL BASIC PADA SISWA SMK PANGUDI LUHUR MUNTILAN

Computer programming is the implementation of a logical and coherent way of thinking even in simple problems. Computer programming training with visual basic is one way to take advantage of existing facilities in Microsoft Excel with a more attractive appearance so that it improves the way students learn. The training was carried out with participants of class X Automotive Light Vehicle Engineering Skills at Pangudi Luhur Muntilan Vocational School. The results of this training, students feel that this training is very useful, interesting, suitable, increases motivation to learn and adds insight or provisions after graduation.
Meta-FDMixup

A recent study finds that existing few-shot learning methods, trained on the source domain, fail to generalize to the novel target domain when a domain gap is observed. This motivates the task of Cross-Domain Few-Shot Learning (CD-FSL). In this paper, we realize that the labeled target data in CD-FSL has not been leveraged in any way to help the learning process. Thus, we advocate utilizing few labeled target data to guide the model learning. Technically, a novel meta-FDMixup network is proposed. We tackle this problem mainly from two aspects. Firstly, to utilize the source and the newly introduced target data of two different class sets, a mixup module is re-proposed and integrated into the meta-learning mechanism. Secondly, a novel disentangle module together with a domain classifier is proposed to extract the disentangled domain-irrelevant and domain-specific features. These two modules together enable our model to narrow the domain gap thus generalizing well to the target datasets. Additionally, a detailed feasibility and pilot study is conducted to reflect the intuitive understanding of CD-FSL under our new setting. Experimental results show the effectiveness of our new setting and the proposed method. Codes and models are available at https://github.com/lovelyqian/Meta-FDMixup.
Strategi Meningkatkan Kemampuan Bahasa Inggris Mahasiswa STMIK STIKOM Indonesia Melalui Pemanfaatan Video Online Youtube

The current generation that is known as the millennium generation is synonymous with technological and educational developments. This phenomenon is a strategy that can be used by advocates of foreign languages, especially English in packaging a material to be taught. One of the choices is the use of youtube online videos as supporting teaching materials. The technology is very easy to access, especially STMIK STIKOM Indonesia students, where almost all students have the youtube application. This study uses a qualitative description analysis method to see how attractive YouTube videos are among students, as well as video criteria that are considered interesting by them. The results of the study are packaging of youtube online videos that are tailored to the teaching material delivered to STMIK STIKOM Indonesia students, as the lecturers' handlers and student references in their own creative learning.
Semi-supervised learning with Bayesian Confidence Propagation Neural Network

Learning internal representations from data using no or few labels is useful for machine learning research, as it allows using massive amounts of unlabeled data.In this work, we use the Bayesian Confidence Propagation Neural Network (BCPNN) model developed as a biologically plausible model of the cortex.Recent work has demonstrated that these networks can learn useful internal representations from data using local Bayesian-Hebbian learning rules.In this work, we show how such representations can be leveraged in a semi-supervised setting by introducing and comparing different classifiers.We also evaluate and compare such networks with other popular semi-supervised classifiers.
Marketing Strategies Education Oriented Market, Customers And Advantages Competitive

Marketing of educational services is a strategy undertaken by the agency in improving human resources are in an institution, with the aim to improve the image of the institution of quality education and can compete with other educational institutions, as well as able to boost high competitiveness. This also shows that competition in the world of education is unavoidable, seeing that many educational institutions have been abandoned by their customers so that in recent years there have been mergers between educational institutions. Besides, the ability of administrators is a prerequisite in maintaining and improving educational institutions. Based on this, there are several problems that must be achieved by Islamic educational institutions, especially schools to market the services of these educational institutions with the aim of Islamic educational institutions being more widely known among the public as consumers of educational services.
IMPLICATURE OF CRITICISM UTTERANCES IN TROY AND KING ARTHUR MOVIES MANUSCRIPT

The aims of this study are to find implicature of criticism utterances, maxim, and politeness strategies of the criticizing utterances in Troy and King Arthur movies manuscript. The type of this study is a qualitative study. The data source of this study is Aristocratic movies manuscript. The methods of collecting data are documentation the movies manuscript and observation of the utterances, gathering data criticism utterances, coding the data and finding criticism utterances implied. This study shows the variety of implicatures, cooperative principles, and politeness pattern of criticizing utterances. The implicature of criticism utterances are mocking, contradiction, order, disappointment, forbid, satire, anger, and advice. The second analysis is cooperative principles by Grice. There are maxim of clarify and quantity. The politenesses of strategies are bald on record, positive and negative politeness.
Universal Dependency Treebank for Santali Language

A major effort is currently underway to develop a large-scale treebank for Indian low resource Languages (ILRLs). Apart from that, a rich and large-scale treebank can be an essential resource for linguistic investigations. This paper presents the first publicly available treebank of Santali low resource Indian language. The treebank contains 307 tokens (51 sentences) in the Santali language. All the selected sentences are manually annotated following the Universal Dependency guidelines. The morphological analysis of the Santali treebank was performed using machine learning techniques. The Santali annotated treebank will enrich the Santali language resource and will help in building language technology tools for cross-lingual learning and typological research. We also built a preliminary Santali parser using a machine learning approach. Finally, the paper briefly discusses the linguistic analysis of the Santali UD treebank.
QuOp_MPI: A framework for parallel simulation of quantum variational algorithms

QuOp_MPI is a Python package designed for parallel simulation of quantum variational algorithms. It presents an object-orientated approach to quantum variational algorithm design and utilises MPI-parallelised sparse-matrix exponentiation, the fast Fourier transform and parallel gradient evaluation to achieve the highly efficient simulation of the fundamental unitary dynamics on massively parallel systems. In this article, we introduce QuOp_MPI and explore its application to the simulation of quantum algorithms designed to solve combinatorial optimisation algorithms, including the Quantum Approximation Optimisation Algorithm, the Quantum Alternating Operator Ansatz, and the Quantum Walk-assisted Optimisation Algorithm.
The impact of human development on financial development: The case of APEC countries

In recent years, there is a widespread belief that higher human development index score affects the level of financial development, and this relationship between them has been among the issues that researchers are interested.The aim of the study is to analyze the impact of human development on financial development for the period 2009-2018 for 19 APEC countries.In this study, the average of six good governance indicators (political stability, accountability, government efficiency, quality of regulations, prevention of corruption, rule of law) were used as control variables and dynamic panel data analysis was
Empowering Low-Cost Survey Instrument for the Stake-Out Measurements Using Android Application

Transferring many points on the construction design in the field can be conducted by a range of instruments such as: Theodolite, Total Station, and GPS Geodetic.The conventional devices will take a longer time than the modern ones due to their processes and procedure.This research aims to develop an Android application to help Theodolite users (low-cost instrument) to conduct the stake-out measurement.This research involves designing the algorithm, user interface, and database.The implementation of such a design was by building an Android app and putting it in Google Play for further review and testing.The development of this Application can handle several technological gaps between Theodolite and Total Station in terms of the stake-out measurement.
Using Text and Visual Cues for Fine-Grained Classification

Abstract Text is an important invention of humanity, which plays a key role in human life, so far from dark ages. Text in image is closely related to the scene or a product and is widely used in vision based application. In this paper we are addressing the problem of visual understanding with text. The main focus is combining textual cues and visual cues in deep neural network. First the text is recognized and classified from the image. Then we combine the attended word embedding and visual feature vector which are then optimized by CNN for Fine-grained image classification. We carried out the experiments on soft drink dataset in Pakistan. The results shows that the system achieves significant performance which can be potentially beneficial for real world application e.g. product search.
ICT-supported methodological opportunities among children in need of special attention

Varied and light-hearted methods or tools play a significant role in the education of children requiring special attention. It is important for disabled children that the acquisition of the cur- riculum should not take place utilising standard, tedious methods: on the other hand, the trans- fer of knowledge should not be one-sided. In the 2019/20 academic year, two methodological innovations were introduced in lower-grade classes at the Practice School of Eszterhazy Karoly University where students in need of special attention also experienced these innovations. As our students prefer to use ICT tools and various applications, it is not by chance that the use of digital devices and ICT technology was a crucial element in the selection of innovative meth- ods. Getting acquainted with the task editing applications, one of the main aspects of our selec- tion was the personalisation of applications and their suitability for differentiation. Our choice is the LearningApps application. With this tool, interactive educational aids, so-called learn- ing cubes can be created. In the curriculum, it is important for disabled children to work to- gether, to share a common goal, to experience a sense of achievement, to use different artistic techniques and to enjoy the given work. These were created by the Storyline-framework method. This study outlines the practical application of the LearningApps task editing soft- ware and the Storyline framework method. These methods greatly contributed to a motivating learning environment where disabled students had the opportunity to experience everyday lifeand to create a friendly atmosphere with their peers.
Facial Expression Recognition Under Occlusion Conditions Using ACNN

This work proposes a Convolution Neural Network with attention mechanism (ACNN), resembling that human understanding the emotion. Naturally, human perceives the facial emotions depending on particular parts of the face. Several clues are gathered from different parts of face like mouth, lips, cheeks etc, and these are in turn analyzed by the learning model to decide on the facial expression. This work uses ACNN to handle the scenario of occlusion as well.