Reviewerly/exHarmony huggingface dataset:
Integrated Approach - Challenges In Pedagogical Design Of Learning

When the students are taught using a class by class, subject by subject basis, they learn less than using whatʼs called integrated curriculum. An integrated curriculum places less emphasis on teaching just the subject, and more emphasis on the connections that exist among different subject areas. An integrated approach to teaching helps students learn to put a variety of ideas together. Integrated approach to learning involves planning for learning experiences and allow children to explore topics as a whole and in meaningful content and not by subjects. We can say that all the definitions of integrated curriculum or integrated teaching include the following: a combination of subjects, flexible student groupings, more than one curricular subject, an emphasis on subjects, sources that go beyond textbooks. The integrated approach is similar to the unit study approach, but takes it one step further, focusing on thinking skills as well, helping children understand connections between the subjects, and not just focusing on the how or the what, but also on the why. It is necessary to explain the concept of integrated learning, its needs and relevance, to describe different types of integration and their use in meaninful learning, to use the techniques to integrate learning experiences within one subject and integrating different subjects, to identify the characteristics of integrated textbooks and learning materials.
The Acceptance Factors and Effectiveness of MOOC in the Blended Learning of Computer Architecture and Organization Course

This study examined the effectiveness of MOOC in the blended learning of Computer Architecture and Organization course based on the integration of online learning using MOOC and face-to-face learning.Specifically, the aim of the study was to identify factors that could influence student acceptance of MOOC in terms of immersion (IM) and intention to use (BIU) based on the HMSAM model.The students were divided into two groups with different percentage of using MOOC in learning for one semester but they were taught by the same lecturer.Simple random sampling was carried out to recruit the study sample comprising 168 undergraduates from a population of 298 students.They were administered with an online questionnaire using Google Form on the final week of the semester assisted by research assistant.Pearson correlation analysis was performed on the survey data that showed joy, control, perceived usefulness and curiosity were significantly correlated with IM.Likewise, the same bivariate correlation analysis showed perceived usefulness, joy and curiosity were significantly correlated with BIU.Furthermore, ANOVA and multiple regression analysis showed control, perceived usefulness, joy and curiosity were predictors of student acceptance in terms of IM and 33% of IM variances can be predicted by control, perceived usefulness, joy and curiosity.Similarly, both analyses showed that the same constructs were significant predictors of student acceptance in terms of BIU and 22% of BIU variances also can be predicted by the same constructs.In addition, an independent t-test carried out indicated that the effectiveness of MOOC in the blended learning was significantly lower than non-blended learning if it was used up to 71% and the effectiveness will be increased if only 29% of MOOC was used in the non-blended learning.This finding suggests that the proportion of learning based on online and face-to-face mode should be carefully apportioned.Overall, this study shows that MOOC is a potent platform for blended learning, but its effectiveness relies on appropriate division of learning between online and face-to-face mode. .
The development journey

The first course in software engineering is the most critical. Education must start from an understanding of the heart of software development, from familiar ground that is common to all software development endeavors. This book is an in-depth introduction to software engineering that uses a systematic, universal kernel to teach the essential elements of all software engineering methods. This kernel, Essence, is a vocabulary for defining methods and practices. Essence was envisioned and originally created by Ivar Jacobson and his colleagues, developed by Software Engineering Method and Theory (SEMAT) and approved by The Object Management Group (OMG) as a standard in 2014. Essence is a practiceindependent framework for thinking and reasoning about the practices we have and the practices we need. Essence establishes a shared and standard understanding of what is at the heart of software development. Essence is agnostic to any particular method, lifecycle independent, programming language independent, concise, scalable, extensible, and formally specified. Essence frees the practices from their method prisons. The first part of the book describes Essence, the essential elements to work with, the essential things to do and the essential competencies you need when developing software. The other three parts describe more and more advanced use cases of Essence. Using real but manageable examples, it covers the fundamentals of Essence and the innovative use of serious games to support software engineering. It also explains how current practices such as user stories, use cases, Scrum, and microservices can be described using Essence, and illustrates how their activities can be represented using the Essence notions of cards and checklists. The fourth part of the book offers a vision how Essence can be scaled to support large, complex systems engineering. Essence is supported by an ecosystem developed and maintained by a community of experienced people worldwide. From this ecosystem, professors and students can select what they need and create their own way of working, thus learning how to create ONE way of working that matches the particular situation and needs.
APPLICATION OF SCHOOL LITERACY MOVEMENT PROGRAM (GLS) IN ELEMENTARY SCHOOL MATHEMATICS LEARNING

&lt;em&gt;The School Literacy Movement Programis a form of government concern for the low competency of Indonesian students in the fields of mathematics, science, and reading. The implementation of GLS in learning in elementary schools is carried out in four stages, preparation, implementation, monitoring, and evaluation stages. GLS at the preparation stage in mathematics learning, including the provision of integrated mathematics learning based on literacy, and at the implementation stage are structured literacy learning classes, and the organization of literacy-based mathematics materials. The application of GLS in learning mathematics in elementary school is very important to build students 'understanding, writing skills, and communication skills by increasing understanding of reading texts in all subjects and improving students' high thinking skills (Higher Order ThinkingSkill/HOTS).&lt;/em&gt;
Effective conditions for academic personnel formation and professional development

The present article reveals an objective role of close cooperation between manufacturing companies and scientific schools of colleges in training academic personnel for enterprises and colleges and in their professional development.In earlier times it was compulsory to bring the operating plans of expedition departments to the Science and Technical Council before they were approved by the Central Board.However, the scientific control over the geological prospecting by the approved projects did not bring the personnel in on preparing degree dissertations.Fruitful cooperation between the manufacturers of expedition no.101 and scientific researchers of Sverdlovsk Mining Institute based on the study of Ural deposits of piezooptical and gangue quartz was marked by the defense of 17 PhD and 4 DSc dissertations by the members of SSI, and 20 PhD and 7 DSc dissertations by the geologists of expedition no.101.Thus, close cooperation between the manufacturers and scientific researchers of colleges is an effective way to form academic personnel and develop professionalism.
Perancangan Ilustrasi Tata Cara Penggunaan Kendaraan Umum sebagai Media Edukasi

Procedure is a process that is often overlooked by someone because it is considered not too important, there are no strict rules, no clear education, and so on. The procedure itself is closely related to manners because of matters regarding actions or actions. Basically doing procedures can have an impact on the people around them. One of them is the procedure for using public vehicles for angkot cars and MRT trains. Education on the procedures for use needs to be done starting from adolescence. So the purpose of this study is to design an illustrative media for how to use public vehicles as an educational medium. This research uses qualitative research methods with the approach taken is the creative process of creating works. The data collection technique of this research is by field observations, interviews, and literature studies. Thus, the results of this study are illustrations of procedures for public vehicle use of angkot cars and MRT trains that can be used as a medium of information and education for teenagers.
Expanding Comments Using Previously Responded Posts for Short Text Conversation in Open Social Media

We report a study on improving the retrieval of comments made to previous posts that can potentially be relevant to new posts in the open social media domain. This retrieval task, known as an important component of short text conversation, is challenging due to various reasons, among which is the fact that both posts and comments are usually very short, thus not providing enough context for typical information retrieval systems to be very effective. We designed a technique of expanding each comment by adding words to it that are selected from the post(s) that the comment previously responded to. Our experiment using a Sina WeiBo collection shows that by properly considering the number of posts that a comment has previously responded to, the number of responding comments of each of these posts, as well as the number of words to be selected for expansion, the proposed technique can result in slightly improved retrieval effectiveness. Furthermore, the technique can retrieve relevant comments that have not been returned by any other previous systems.
Fast SLAM Algorithm Based on Distributed Target Bayesian Detection in Compound Gaussian Noise

Fast detecting the distributed targets is appreciated in the SLAM algorithm. In this paper, Bayesian Rao detection and Wald detection methods are proposed for the distributed targets detecting in compound Gaussian noise, which can be applied to the rapid generation and iteration of SLAM (simultaneous localization and mapping) algorithm. Firstly, it is assumed that the covariance matrix of compound Gaussian noise obeys the inverse Wishart prior distribution, on this basis, the maximum posterior estimate of the covariance matrix is used to propose Bayesian Rao detection and Wald detection, then the affects by the prior distribution degree of freedom and the number of distance units spanned on the performance of the proposed detector are analyzed, Finally, Simulation and experiment results verify the effectiveness of the proposed method. Applying the detection method to the SLAM algorithm, there will be a significant improvement in detecting the distributed target.
Determinant Factors for Compressed ERP Education for Stackable Credentialing

This paper presents a case of a collaborative effort between a university, a two-year college, and partners within the Information Technology (IT) and Enterprise Integrated Information Technology including Enterprise Resources Planning (ERP) software companies to address the education and training of the workforce for ERP concentric positions. The courses in ERP that culminate with a certificate are seamlessly integrated into an accelerated associate degree that incorporates prior learning assessment with a competency-based framework. After completing the accelerated associate degree, students can continue the pathway for the bachelor’s degree in information technology on a timeline that is reduced significantly. Data from OECD database that included OECD member countries including USA and selected countries outside the OECD membership was used to analyze factors that enhance training. The data was analyzed to identify important factors for successful training outcomes in compressed delivery format. Furthermore, the forty-one items from the database were factored using component factor analysis. The identified factors augment the Department of Labor competency model for training the workforce for 21st century occupations.
PENERAPAN MODEL STAD GUNA MENINGKATAN HASIL BELAJAR SISWA KELAS II SDN PADA MATA PELAJARAN PKN

This study aims to improve learning outcomes in PKn subjects through the STAD learning model in class II SDN students.This type of research is Classroom Action Research.The results of the study show that the implementation of learning through the STAD model can improve the learning outcomes of class II SDN students.Increasing student learning outcomes by using the STAD learning model from pre-cycle students who completed reaching 8 students with a percentage of 36%, in the first cycle increased to 14 students who completed with a percentage of 64%, and in the second cycle increased again to 19 students who completed with a percentage reaching 86%.Related to the increase in student learning outcomes, researchers and collaborators expressed their opinion that the STAD learning model is very suitable to be applied in the learning process, this is due to the many changes in the improvement of learning outcomes at each stage carried out by the researcher.
Unified and Scalable Incremental Recommenders with Consumed Item Packs

Recommenders personalize the web content using collaborative filtering to relate users (or items). This work proposes to unify user-based, item-based and neural word embeddings types of recommenders under a single abstraction for their input, we name Consumed Item Packs (CIPs). In addition to genericity, we show this abstraction to be compatible with incremental processing, which is at the core of low latency recommendation to users. We propose three such algorithms using CIPs, analyze them, and describe their implementation and scalability for the Spark platform. We demonstrate that all three provide a recommendation quality that is competitive with three algorithms from the state-of-the-art.
Knowledge Text Classification Based on Virtual Category Tree

The existing multi-layer classification methods often learn the sample data repeatedly with a top-down classification model.To solve the problem, this paper developed a multi-layer text classification method based on Virtual Category tree (VC tree).The classifier was designed in a bottom-up manner, aiming to reduce the repetition and time of sample learning.In the topdown classification, the similarity between the preprocessed document vector and the associated classifier was calculated, and the maximum similarity was selected to determine the category of the document, and then the document was directly attributed to the leaf node.The experimental results showed that the proposed method outperformed the support vector machine (SVM)-based classification and saved the time of text classification.
Data-QS-Ferramenta numérica para qualificação de dados coletados em estações automáticas de superfície

The Data-QS (Data Qualification System) is a computational tool developed in Python for quality check of meteorological and radiometric data acquired by in automated weather stations.The quality-check procedure is a fundamental requirement for technical and economical evaluation of renewable power plants.The data-quality criteria used in Data-QS are based on the World Meteorological Organization (WMO) recommendations for automated weather stations.Besides data quality evaluation, Data-QS also generates reports and graphical analysis of the observational data series.Data-QS is in the final phase of adjustments and improvement of interface was developed and tested by using the observational data acquired in SONDA measurement sites as open access.
TEACHING STRATEGIES USED IN ESP CLASSES

This study aimed to describe teaching strategies implemented by lecturers in teaching English of continuing program students at STIKES Bali. Descriptive qualitative design use used. There were 2 respondents involved in this study which were lecturers who taught English in continuing program at STIKES Bali. The data were collected by using observation sheet and interview guide. The data were analyzed descriptively according to descriptive qualitative design. The finding showed that there were 5 teaching strategies from 7 teaching strategies proposed implemented by lecturer such as Direct Instruction, Discussion, Group Work, Co-operative Learning and Performance Activity. Direct Instruction and Discussion were the most teaching strategies that chosen by English lecturers. Teaching strategies were implemented according to the topics and characteristics of the students. Choosing the right teaching strategy is very important in teaching English, especially in continuing program students at STIKES Bali. English lecturers in STIKES Bali are expected to implement more and appropriate teaching strategies to improve the quality of teaching and learning process.
KESALAHAN BERBAHASA PADA KARANGAN EKSPOSISI SISWA SEKOLAH MENENGAH ATAS: BENTUK, FAKTOR PENYEBAB, DAN UPAYA MENGATASI

&lt;p&gt;&lt;em&gt;The research population was all tenth grade Social students of Sekolah Menengah Atas Negeri 6 Surakarta. The research method used was qualitative method using descriptive-qualitative approach. The participants of the research were one hundred thirty (130) Social students’ works. The sampling technique used was purposive sampling. Data collection techniques were content analysis and in-depth interviewing. Data analyzing used was interactive analysis model. The followings are the conclusions of the research. First, three types of language errors in students’ exposition text are sentence error, diction error, and spelling error. Second, the most detected type of error is spelling error in which the use of comma has the highest percentage. Third, the casual factors of language error were as follow: the students know less about writing principles; the students have less motivation to read; the students tend to emphasize the idea rather than writing principle; the students tend to be lazy to do editing before submitting their works; the class condition is not supportive; and the students are demanded to write structurally correct. Fourth, some efforts done to minimize language error: teachers give clarification immediately when they notice language error; cross-reading among students before submitting their works; and more writing activities in class.&lt;/em&gt;&lt;/p&gt;
Explaining Continuance Intention of a Cloud-Based Virtual Learning Environment with Psychological Ownership and the Technology Acceptance Model

This study investigated teachers' intention to continue using a cloud-based Virtual Learning Environment (VLE) by incorporating the theory of psychological ownership and the Technology Acceptance Model (TAM).Psychological ownership refers to a sense of ownership where people feel psychologically attached to a particular object, and this concept is becoming increasingly relevant in technology adoption research.The study proposed that such phenomenon can also occur when teachers use a cloud-based VLE.Hence, a hypothesized model was tested with 402 practicing teachers from Malaysia.Measures were adapted and adopted from established scales used in previous research.Results from Partial Least Squares Structural Equation Modeling approach affirmed the potential effect of psychological ownership and its antecedents as external variables of TAM.Overall, the model explained 69% variance of teachers' intention in continuing to use the VLE.This study advances the theory of psychological ownership in the technological context, with evidences obtained within the ambit of cloud-based VLE.
Perancangan Aplikasi Game Edukasi Pengenalan Komputer untuk Anak Didik Usia Sekolah Dasar

&lt;p&gt;&lt;em&gt;This event will be based on research by learning how important the Computer against the primary level, since with the introduction of computerized technology early on then the child will be familiar with computerized technology in the future.From all types of media, interactive entertainment media learning learning through games including one that has more value, because basically the game is for entertainment and with the Foundation of the learning media can make kids or students being more pleased in learning because they can play while learning at the same time.Making this game aims to add insight to children of the importance of technology, through this interactive game expected user or users feel interested and not feel bored in study.The research method used was the Software Development Life Cycle (SDLC) Water Fall and Game Design Document (GDD) who used the stage of the research (1) stage of analysis, (2) the stage of design, the programming phase (3), (4) the stage of testing, (5) stages maintenance.Needs analysis stage includes material and hardware and software requirements specifications.This form of the game is about questions concerning about the device and the computer functions with multiple choice answers.As well as answering the test, players stay clicking one answer to every question that appears by using the games with java applications.&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Quantum Computing in the Biomedical Sciences; A Brief Introduction into Concepts and Applications

Quantum computing is a field that aims to exploit the principles of superposition and entanglement to perform computations. By using quantum bits (qubits) a quantum computer is able to perform certain tasks more efficiently when compared to classical computers. While applied quantum computing is still in its early stages, quantum algorithms on simulated quantum computers have already been applied to certain problems in epidemics modeling and image processing. Furthermore, companies like Google and IBM continue to develop new quantum computers with an increasing number of qubits. While much progress has been made in the recent years, the so called &amp;rdquo;quantum supremacy&amp;rdquo;has not yet been achieved, and quantum computing appears to be still unsuitable for most applications in biomedical sciences.
A Software System is Greater than its Modules Sum: Providers and Consumers Modularity Matrix

Modularity Matrices and their Laplacians enable finding software system modules by a rigorous algebraic procedure.However, Modularity Matrices have up to now focused mainly on structors as providers of functionals.This paper takes a broader view at the software system as a whole.The Software System Modularity Matrix, besides displaying provider relationships, also describes which structors consume functionals provided by other structors.This broader view improves software system design in two ways.First, consumer relationships set realistic expectations for consumer numbers and roles.Second, the Software System Modularity Matrix generates standard design criteria for interacting providers and consumers.This standard System matrix obeys linear independence of its constituent vectors, and block-diagonality of its recognizable modules.The novelty consists of modules being composed into a whole working Software System by means of a limited number of consumers playing the role of module connectors.Modules and their connectors are formally obtained by the same spectral method applied to the respective Laplacian, which obtained provider matrices.This is illustrated by case studies.