Reviewerly/exHarmony huggingface dataset:
The Role of Contemporary Pedagogical Technology in ECE: A Systematic Literature Review

Early Childhood Education (PAUD) is a critical stage in a child's development that lays the foundation for lifelong learning and success. The use of technology in PAUD is effective for improving learning and development outcomes. Contemporary pedagogical technologies such as interactive media, mobile applications, and educational software have been identified as potential tools for improving the quality of ECD. This literature review aims to analyze efficacy of educational technology in boosting the learning and development of young children. In this literature review, the writers selected relevant and accurate studies from restricted academic sources such as Scopus and Crossref to gather research data, which were then categorized according to PRISMA criteria. The first search yielded 134 articles, which were then whittled down to 20 papers acceptable for closer examination. This study results reveal a lack of instructor competency in the use of technology among ECE classroom instructors, preventing educators from focusing on the use of technology in early childhood education. This is due to the fact that early childhood educators are less equipped for the theory and practice of modern educational technologies, such as learning software, mobile apps, and interactive media, which may increase the cognitive, linguistic, and social capacities of young children. In the meanwhile, educational technology may assist in bridging the learning gap between children with special needs and those without access to formal schooling.
Effectiveness of Implementing Synchronous and Asynchronous Blended E-Learning in Stunting Prevention and Treatment Training Programs

The Covid 19 pandemic has had such a big impact on the education system, especially the National education system. In the conditions of the Covid 19 pandemic, national learning is carried out online, both formal and non-formal education (training). Related to this, the authors conducted a study on the application of asynchronous and synchronous blended learning in Stunting Prevention and Handling Training held at the Ministry of Social education and training institutions. The purpose of this study is to find out the effectiveness and constraints of implementing asynchronous blended learning and synchronous training. The method used in this study is a literature study. The results of the study show that the implementation of asynchronous and synchronous blended online learning Training on Stunting Prevention and Handling is not yet effective. This is due to the asynchronous setting being carried out only with independent asynchronous (AM) without the presence of a facilitator. The existence of a facilitator can play an important role in maintaining and maintaining the level of student learning motivation and facilitating relationships between training participants and with the facilitator. Then in the implementation of synchronous online learning Training on Stunting Prevention and Handling is also considered less effective. The main obstacle is the internet network which is not accessible to participants, especially from remote areas. So that it is very difficult for participants to follow synchronous learning as a whole.
Unpacking Stages of Mobile-Assisted Language Learning Adoption: A Narrative Inquiry

Technological advancements necessitate adaptation in the field of education, particularly for language teachers. This need cannot simply be accommodated in the classroom. In the process of adopting technology, teachers experience various processes that must be got through. This current study was aimed at filling the gap in the issues related to the complexity of MALL adoption in higher education. To fill the need for descriptive richness and picture the entire adoption process, a qualitative approach was used; specifically, Narrative Inquiry (NI). There was a total of three people who participated in the research. Data was gathered through the use of a narrative frame, an empty box, and a structured interview guide. The study's findings highlight the simultaneous and ongoing nature of the adoption process. Three distinct phases of adoption were identified by this research: acceptance (before use), usage (during use), and confirmation (after use), with three distinct evaluation procedures for each phase. Another important finding is that intention is not necessarily a drive to usage. There is review process that bridges the intention and usage. The process of intention and review are simultaneous. Nevertheless, whereas intention is likely immediate, the review takes longer period of decision making. The review process could be the answer to the debate in TAM studies related to the reasons of inconsistency of the intention to use to the usage.
Voting Based Classification System for Malaria Parasite Detection

Malaria is a potentially fatal disease caused by plasmodium parasites that infect certain types of mosquitoes that feed on human blood. It usually causes a severe illness with high fever, chills, and flu-like symptoms. Malaria, as an epidemic disease, necessitates prompt and accurate diagnosis to provide appropriate treatment. In practice, the gold standard for malaria diagnosis is the microscopic evaluation of blood smear images, in which the pathologist visually examines the stained slide under a light microscope. This is a subjective, error-prone, and time-consuming visual inspection. In the following work, a voting-based classification method is proposed that can detect the slide with Plasmodium parasites. The proposed modality concentrates on increasing the accuracy of parasite detection by using many of the commonly known image similarity measures. Further, classification metrics like accuracy, precision, recall, specificity, F1 score and negative predictive value are utilized to understand the performance of the currently developed technique. Utilization of the proposed model and its implementations in many other fields are to be more focused.
GTMAST: Graph Theory and Matrix Algorithm for Scheduling Tasks in Cloud Environment

Mapping users’ tasks to virtual machines (VMs) is an NP-Complete problem. Researchers have tried to optimize various performance indicators of the tasks while taking into consideration certain attributes of the tasks. The number of tasks completed successfully by the algorithm, turnaround time, throughput, response time, execution time, and other characteristics are examples of single or combinations of parameters that can be used in optimization. In this work, we present an efficient algorithm GTMAST for scheduling heterogeneous tasks in the cloud environment. The proposed algorithm aims at maximizing the number of tasks executed and the throughput while minimizing the turnaround time. The algorithm has been tested in an open-source simulation tool, CloudSim 3.0.1. The performance of this algorithm outperforms the well-known algorithms such as Elimination Et Choice Translating REeality (ELECTRE) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in terms of the number of tasks executed, the average turnaround time and the average throughput.
Design and Development of English Autonomous Learning Database Framework Based on Artificial Intelligence Algorithm

With the continuous development of computer science and technology, artificial intelligence has become a hot topic in the field of computer research, and has attracted more and more attention in practical applications. This paper analyzes and designs the English autonomous learning database based on the existing construction ideas. First of all, this paper introduces the theoretical basis of autonomous learning, expounds the learning characteristics and functions of English autonomous learning, and then studies the artificial intelligence algorithm, and designs the Database framework of English autonomous learning based on the algorithm, and tests the operation of the database framework. The final test results show that the independent English learning system runs smoothly with short operation time and delay time, both within 3 s. At the same time, the database can also be compatible with about 1000 users, with low CPU consumption. This shows that the system can fully meet the needs of autonomous learning.
Application of BP Neural Network Algorithm in Teaching Evaluation and Learning Prediction

The application of BP neural network algorithm in teaching evaluation and learning prediction is to predict the effectiveness of teachers. In this case, the obtained data is used as the input of BP neural network algorithm. This output is used to evaluate teachers and predict their effectiveness based on previous research results. How does it work? The method is divided into two parts: training phase and testing phase. The training phase includes three steps: pretreatment, training and post-processing. The main purpose of this paper is to provide practical solutions for teaching evaluation and learning prediction. It has been proved that combining BP neural network algorithm with other algorithms can improve the quality of teaching evaluation and learning prediction. Our method is more effective than other methods, because it can not only predict students’ performance, but also predict teachers’ performance of students’ future achievements according to their past achievements.
The Design and Application of College Students’ Mental Health Automatic Evaluation Model Based on Multimodal Data Fusion

With the continuous increase of people’s work pressure, the requirements for mental health recognition are also higher and higher. There are various forms of mental health, and the traditional mental health evaluation mode relying on experts has certain subjective deviation. Therefore, this paper proposes a recognition model based on facial, speech and gait behavior characteristics to realize intelligent recognition of mental health status, so as to reduce the impact of subjective factors on the recognition results. The design of automatic evaluation model of College Students’ mental health. The purpose of this study is to design an automatic evaluation system, which can evaluate the mental health of college students in a simple and easy way through their writing performance. In order to achieve this goal, we adopted two methods: (1) according to the concept that each writer has his own style and personal characteristics, we compiled a self-assessment questionnaire; (2) This study uses the data collected in previous studies on writers’ styles and personality characteristics.
Linguistic studies of computer-mediated communication

The article presents an overview of the work of Russian and foreign authors concerning the phenomenon of computer-mediated communication in linguistic perspective. We describe the features of the digital communication channel that can infl uence different levels of language, with special attention to the studies focusing on vocabulary, morphology, syntax, and punctuation of texts generated during Internet communication. We consider specific quantitative studies of these levels of language and note the special lability of the lexical level. We also demonstrate the mixed nature of borrowing morphological, syntactic, and punctuation features from spoken and written language and highlight the role of the linguistic economy principle at each level. The paper gives a detailed description of the corpus studies by I. Karpov and A. Bodomo, and also draws on the material from the Russian National Corpus. In addition, the works dealing with the issues of speech patterns of communication and code-switching are described. Further, we address the problem of inheritance of features of spoken and written language by computer-mediated communication: we show how many elements are borrowed and transformed at different levels and explain which extralinguistic factors can influence those changes. Special attention is paid to such constructions as well-wishes and appeals, as well as their functioning in various Internet spaces (e-mail, messengers, social media, forums). The final part of the article summarizes the results, concludes about the intermediate position of computer-mediated communication between oral and written communication, and discusses the prospects for studying Internet communication using quantitative methods.
A Segmentation Algorithm Based on Shallow Convolutional Neural Networks for Lung X-ray Images

Considering the problem that the number of parameters of traditional convolutional neural networks is too large and the Chest X-ray (CXR) image dataset with manual labeling is limited, a CXR image segmentation algorithm based on Shallow Convolutional Neural Networks (SCNN) is proposed, including two stages of image preprocessing and segmentation. In the preprocessing stage, the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm is used to enhance the contrast of the image to make the lung boundary clearer. Based on this, the problem of conflicting pixel classification and pixel localization in semantic segmentation is appropriately handled by encoding-decoding network and attention mechanism. Experiments show that the algorithm has the advantages of reducing the number of parameters and high segmentation performance.
Energy Management in Cloud Through Green Cloud Technologies

To address the issue of storage and processing of large-scale data, Cloud Computing has gained swift progression in the field of technology. Though offering solutions to many problems, cloud computing is still in the early stage of research and implementa-tion. It suffers from many challenges namely security, standardization and energy con-sumption. In this paper, we focus on the issue of energy consumption through cloud computing and the technology known as Green Cloud Computing to tackle the said issue. Green Cloud Computing plans to lessen the immense energy utilization, the re-quirement of physical equipment, destructive fossil fuel byproducts and so on. To shield our current circumstances from cloud technology’s adverse consequences, the cloud framework should be updated toward green registering. Green cloud computing broad-ly centers around the planning of effective clouds with green qualities like efficient en-ergy management, virtualization, load balancing, green servers, reusability, grid com-puting and recyclability.
TECHNOLOGY TIME MANAGEMENT FOR UNIVERSITY STUDENTS

Students of a higher education institution are faced with the task of assimilating a large amount of information in a short time. The solution of this problem is facilitated by the use of time management. The theoretical and methodological foundations of
Fault-tolerant Technology for Quantum Information Processing and Its Implementation Methods

To use quantum information processing in a wide range of applications, fault-tolerant processing is essential to cope with noise.Fault-tolerant quantum computing using quantum error-correcting codes is scalable, but the overhead of number of qubits or processes is large, so improving efficiency is an important research theme.Quantum error mitigation incurs computational cost, but it does not require the overhead of number of qubits, so it is expected to be used for near-future applications.In this article, we introduce our research activities on these topics as well as our studies toward the implementation of quantum information processing.
IT Nets for Dimension Reduction of Dehumidifying Coils Data

Dimension reduction for the data set by using input trained feedforward neural nets is presented in this study for dehumidifying coils. A similar method to nonlinear extension of principal component analysis, input trained neural networks are used to extract useful information in data set obtained experimentally for dehumidifying coils. The data set is represented by a few latent variables after training of IT nets.
Effects of Creative and Personality Activities on Academic Achievement and Mathematical Learning Attitude

Objectives The research purpose of this study is, first, to devise and apply creative and personality activities containing creative and personality elements. Second, it improves learners' academic achievement through creative and personality activities. Third, creativity and personality activities are used to positively change learners' mathematical learning attitudes.&#x0D; Methods The study was conducted on 60 students in two classes in the second grade of 00 High School located in 00 Metropolitan City where the researcher works. Two classes were selected based on the results of the midterm exam in the first semester of the second grade, and the first class was divided into a research class and the other class was divided into a comparative class, and 13 classes were conducted for about two months from May 2 to July 5, 2021. The research class (30 students) was taught as creative and personality activities, and the comparative class (30 students) was taught based on traditional textbooks. The learning activities of the research class and the comparative class were different. The contents of the map were taught at the same level. In the research class, the ratio of classes with creative and personality activities and classes with traditional textbook-oriented classes was 4:6. This researcher was in charge of the second grade, so the study was conducted on the second grade. The actual instruction of the class was guided by the researcher in the research class and the comparison class.&#x0D; Results As a result of the study, first, in this study, the learning contents for each unit were first set and creative and personality activities were conducted. By applying this to the class, it was possible to improve academic achievement and mathematical learning attitude. Second, creativity and personality activities were more effective in academic achievement and mathematical learning attitudes compared to traditional textbook-centered classes for students in the upper, middle, and lower ranks. Third, in creative and personality activities, low-ranking students, who are usually ignored in math classes, also became interested in the class, showing an improvement in the level of academic achievement.&#x0D; Conclusions In conclusion, the research class taught as creative and personality activities had significant differences in academic achievement and mathematical attitudes compared to the comparative class.
The classification and influencing factors of latent classes of emotional core competencies of talents with creativity-convergence

Objectives The purpose of this study is to identify the characteristics of each latent classes and to explore the factors affecting the classification of latent classes by sub-factors such as happiness, career maturity, creative personality, and citizen participation as emotional core competencies of talents with creativity-convergence.&#x0D; Methods Among the 3,000 students (cohort of 4th grade elementary school student, 1st grade in middle school, and 1st grade in high school) who were selected in the first year of the Daegu Education Longitudinal Study (2017), the subjects of this study were fourth-year students corresponding to the first year of high school in 2020. The target marking was stratified sampling method, which divided Daegu Metropolitan City into eight administrative districts, and the schools in the area were tabulated wirelessly, and the number of schools in each target layer was determined in proportion to the number of students in the target layer compared to the total number of students. High schools were determined in proportion to the number of students by dividing them into general, special-purpose, specialized, and autonomous public high schools according to their affiliation, and 979 boys (52.5%) and 897 girls (47.8%) A total of 1,876 data were used for analysis. The emotional core competency measurement tool used a total of 49 questions related to happiness, career maturity, creative personality, and civic participation used in the longitudinal study of education, and the factors influencing this were largely divided into individual (3 factors), family (5 factors), and school (5 factors) factors, and the questions were used for analysis.&#x0D; Results The number of latent classes was confirmed to be most appropriate when classified into three, and the results of analyzing the factors affecting the latent classes are as follows. First, in the individual factors, self-efficacy was found to have a very important effect on emotional core competencies. Second, in the family factor, communication with parents had the greatest influence. Third, in the school factor, support from friends was found to have the greatest influence. In particular, in the individual factors, self-efficacy was found to have a superior effect on self-efficacy in the upper group compared to the overall lower group, and the support of friends and cooperative learning had a greater effect than the support of teachers.&#x0D; Conclusions Schools and educational authorities recognize the importance of communication between parents and children and positive relationships between friends and teachers, and for this purpose, it is necessary to devise and apply customized programs suitable for the characteristics of the latent classes. Efforts to develop effective strategies and practice efforts to cultivate students' emotional core competencies should be continued.
Early childhood teachers' experience of literature education for young children in play-centered curriculum

Objectives The purpose of this study is to explore the experience of how early childhood teachers conduct literature education for young children in a play-centered curriculum.&#x0D; Methods The participants in this study were 20 early childhood teachers working at an early childhood education institution in Gyeonggi-do, who were taking the ｢Literature Education for Young children｣ course at the Graduate School of Education of A University. The participants collected reflective journals about what they experienced and felt about literature education for young children while implementing the play-centered curriculum, analyzed the data, and then qualitatively analyzed it.&#x0D; Results As a result of analyzing the experience of literature education for young children in the play-centered curriculum, firstly, the early childhood teachers supported the environment for early childhood literature in the play-centered curriculum. Second, early childhood teachers made efforts to conduct literature education for young children while operating a play-centered curriculum. Depending on the teacher's personal background and the situation of the institution, the importance of literature education in the curriculum varied, and literature education was carried out independently from the curriculum, or play and literature education for young children were linked or operated in harmony.&#x0D; Conclusions Based on the results of this study, early childhood teachers' experiences in literature education for young children and their thoughts were examined. This study has significance in providing the necessary basis for early childhood teachers to seek ways to implement substantial literature education for young children and to promote the quality improvement of literature education for young children in the field.