Reviewerly/exHarmony huggingface dataset:
ICT in the development of phonological awareness: A critical literature review

The phonics dimension is essential for early literacy development and is a fundamental aspect of cognitive expansion. For this reason, phonological awareness has become a topic of great importance in education due to its significant impact on the development of reading and writing, basic learning skills. This study offers a theoretical review of a corpus of recent studies that reveal the contribution of technological resources to the development of phonological awareness in pre-school, with the intention of pointing out trends and research possibilities in this field. From a sample of 137 articles published in the last 15 years, and after a critical and systemic analysis carried out in different phases, 22 articles have been selected whose content focuses on pre-school and first year primary school children, in which ICT has been applied. The holistic analysis demonstrates the positive effect of these technologies on the development of phonological awareness. It is concluded that there is a direct relationship between phonological awareness and literacy in pre-school education, as well as the need for more rigorous research to obtain more precise results.
A view of How Education Works

J. Dron's 'How education works: teaching, technology, and technique' is a significant contribution to the educational literature that centers on the multifaceted realm of teaching with technology. Adopting an autobiographical narrative, the author brings to the fore his rich experiences in instructional design and technology-mediated education. This work critically examines the dynamic interactions among the pedagogical methods, tools, and various actors in the educational environment. The book emphasizes the necessity for co-participation and flexibility in educational systems, while acknowledging the intricate challenges posed by learner diversity. Through the lens of a seasoned educator, it serves as a mirror for readers to reflect on their pedagogical practices, invites introspective meditation on teaching methodologies, and provides a platform for discussing common obstacles in technology-enhanced learning landscapes. This review endorses Dron's book as an essential read for educators, instructional designers, and scholars interested in the complexities and evolutions of educational technology and its impact on instructional strategies.
Examining the fit of the curriculum components model based on creativity

Purpose: The purpose of this research was to examine the fit of the creativity-based curriculum components model. Method: For this purpose, a quantitative research approach based on descriptive-survey method was used. In this research, the method of inferential analysis and data description and the use of factor analysis were used to analyze the questionnaire data and present the results. The statistical population includes all elementary school teachers in Tehran province who are working in 2021, whose number is 3195, who are working in elementary schools in Qom province in 2021. To select the number of research samples according to the size of the considered population (3195) and referring to Morgan's sample size estimation table, the number of research samples was considered to be 345 people. Random cluster sampling method was used to select research samples. The tool of data collection in this research was a researcher-made questionnaire. Findings: The value of the root mean square error estimate (RMSEA) for each dimension is 0.068, 0.071, 0.086, 0.085, 0.094, and 0.085, respectively, and is smaller than 0.10. The root mean square of the residuals (SRMR) index is equal to 0.071, 0.058, 0.058, 0.077, 0.071 and 0.067, respectively, and they are smaller than 0.08. Therefore, it can be concluded that the model error is not high. Other absolute/relative fit indices such as Chi-square, GFI, NDI and CDI, and compared to conventional values for models with appropriate fit, it can be concluded that the curriculum model of students based on creativity has a suitable structure. Conclusion: The model of curriculum components based on creativity presented in the current research has a suitable application.
An Evaluation on the Use of Artificial Intelligence in Education Specific to ChatGPT

The use of artificial intelligence in education is accepted as one of the important discussion topics of the recent period. Artificial intelligence, which can be used actively in all areas of social life, can also be actively used in education. At this point, the relationship between artificial intelligence and education should be evaluated in the context of current and historical debates. Artificial intelligence technologies can offer many advantages in educational activities and also increase the quality of education. From this point of view, the aim of this study is to reveal the use of artificial intelligence in education in particular ChatGPT. Although ChatGPT is an up-to-date technology, there are significant discussions about its advantages in education. ChatGPT is a language-based artificial intelligence robot, it has started to be used in many fields, especially in education. In the study conducted on this axis, the use of artificial intelligence in education was evaluated in particular ChatGPT by using the literature review method. ChatGPT has created important opportunities in education with its advantages. As a matter of fact, this situation is also observed in the literature. ChatGPT modernizes education by offering different forms of convenience and advantages in different areas of education.
Câteva premise teoretice ale trecerii de la „real” la „virtual” în predarea unei limbi străine

The issue of computer literacy and the use of multimedia in the act of teaching/learning a foreign language is already a constant in the literature of the late 80s. “New technologies” have entered the common practice of teaching, and language teaching based on these technologies has become a routine element, indispensable in the organization of classes, language laboratories and seminars. The relation between the written sign and the visual/audio sign has gradually become a semiotic structuring relationship in the act of teaching/learning a foreign language, the advantage of its use being widely supported by the results of neurolinguistic research, especially neurolinguistic programming (NLP). However, the recent ”obligation” to transfer the entire teaching process from the real environment, with multimedia use, to the complete virtual one, in which direct contact is reduced to a minimum, has raised a certain number of both logistical and psychological problems, for students and teachers alike. During our intervention we will try to review the main changes that this transition has determined, with reference to our own experience of teaching Romanian as a foreign language at Sapienza University in Rome.
Features of higher music education in the context of globalization

The purpose of the article is determined by the fact that in the context of the activation of Russian-Chinese relations, the problem of studying and understanding the specifics of the organization and implementation of vocal training of specialists in musical and pedagogical profile in these countries, taking into account the national-historical, spiritual-practical, educational and social aspects of its direction, is of particular interest. Foreign students' knowledge of the peculiarities of vocal training helps them to better adapt to the conditions, requirements and content of educational activities.
Electoral manipulation in the Grey Zone: evidence from Ghana’s parliamentary elections in 2008 and 2012

Electoral manipulation undermines the function of elections as a mechanism of representation and accountability, and erodes public trust in government institutions; however, our theoretical understanding of its causes is still limited. Research has focused on the blunter forms of electoral manipulation. Less attention has been given to the more subtle forms, although these are more common. This paper investigates one type of subtle electoral manipulation: miscounting, meaning election officers who selectively reject ballots during the counting. It suggests that miscounting (one of the ways in which political candidates can rig elections) is characterised by low risks and high direct costs. On one hand, it is almost invisible, embedded in the sociocultural norms and practices surrounding elections in many African countries. On the other, it is expensive, requiring large amounts of patronage to co-opt election officers. This makes miscounting attractive only to incumbents who fear electoral defeat and have deep clientelist networks. The paper tests this argument against data from the 2008 and 2012 parliamentary elections in Ghana. It shows that the number of ballot rejections is positively correlated with the number of years the party of the incumbent MP has held the constituency seat, but negatively correlated when this variable is interacted with the win-margin in the last parliamentary election. This pattern is consistent with the model, supporting the argument that the effect of electoral uncertainty on miscounting is conditional. When MPs do not have resources at their disposal, they choose other types of electoral manipulation or opt out of electoral rigging altogether.
Understanding the Nexus of Creativity, Learning Capability, Flow Experience, Leadership and Organizational Performance: Evidence from the Higher Education Institution in KP Pakistan

This study investigates university performance through the lenses of creativity, organizational learning, flow experience, and leadership effectiveness. Addressing a gap in recent literature, the research emphasizes the critical role of innovation, creativity, and flow experience in shaping organizational performance, particularly in the context of universities. Employing a questionnaireâbased approach, the study encompasses 642 participants, including teachers and administrative staff from various universities in the southern region of Khyber Pakhtunkhwa, Pakistan. Findings reveal a direct impact of staff creativity and learning capabilities on organizational performance, with an additional indirect influence through the flow experience. The effectiveness of leadership is identified as a moderator in the relationship between flow experience and organizational performance. The results underscore the intricate connections between staff creativity, flow experience, and their implications for higher education policies, curriculum design, and pedagogical practices. The study's insights extend beyond academia, providing valuable implications for cultivating skills in today's competitive and dynamic world.
Effectiveness of Structured Teaching Programme on Knowledge Regarding the Health Hazards of Mobile Phone Usage

Introduction A mobile phone is a mobile electronic device used to make telephone calls across a wide geographic area and supports services such as Short Messaging Service SMS Multi Messaging Service MMS E-mail and internet access short-range wireless infrared or bluetooth communications gaming applications and photography. Cellular telephones may be responsible for periodical increase in arterial blood pressure changes in electric activity of the brain. Posture of holding phone between raised shoulder and ear could have a damaging effect on muscles bones tendons and discs. Objective The objective of the study was to create awareness regarding long term health hazards of mobile phone usage in young generation.Methodology The research design used in the study was one group pre-test and post-test design using preexperimental research design with random sampling technique. Data was collected from 130 students using a self-structured knowledge questionnaire. Structured teaching program STP was implemented and post-test was conducted after seven days using the same questionnaire.Results The overall pre-test knowledge score was found to be 34.20 and post-test knowledge score was found to be 66.55 and enhancement in the mean percentage knowledge score was found to be significant at 5 level. There was a significant association between post-test knowledge scores and selected demographic variables with gender department educational status of parents occupation of parents duration of mobile usage per day and information regarding health hazards of mobile phones.Conclusion The findings revealed that there was a knowledge deficit among students regarding health hazards of mobile phone usage and STP was effective in enhancing their knowledge.nbsp
SUBSTANTIVE COMPONENTS OF COPYRIGHT: ESSENCE, FEATURES, SPECIFICITY

Objective. The objective of this scholarly article is to find out the essence of copyright, namely its key concepts and basic principles, to identify the mechanisms and tools for its protection in Ukraine. Methods. Theoretical methods include analysis and synthesis of literature on the problem under study; practical methods are the selection of factual material on the basis of which conclusions about the essence of copyright. Key concepts and basic provisions, mechanisms and instruments of copyright protection in Ukraine will be formulated. Results. The 21st century is considered the beginning of a new era, which is characterized by global technologies, high informatization, mechanization, and dynamic economic growth. In this century, the main attention of society is paid to the intellectual product, which forms the basis of the concept of "intellectual property" (IP) in the economic and legal context. The collected factual material allows us to conclude that the modern development of any field of human activity (culture, industry, agro-industrial complex, health care, etc.) is impossible without proper technical and scientific support and spiritual achievements of society. These aspects are closely related and interdependent. Thus, the problem of proper use of the intellectual potential of society and the nation as a whole requires constant attention and support from the state. The existence of a modern system of legal protection of IP in Ukraine contributes to the preservation and enrichment of the technical and scientific potential of the state, the development of the national economy and international trade, as well as the attraction of foreign investments, in particular in the form of advanced technologies, which allows Ukraine to enter the world market of intellectual property as an equal in rights partner. The norms of copyright, together with provisions on related rights, form a single institution of IP law - the institution of copyright and related rights. Objectively, copyright is considered as a complex of civil law norms that regulate relations that arise during the creation and use of works of art, science and literature. Subjectively, copyright represents personal and property rights that arise in connection with the creation of works of science, literature and art by the individuals who created them, and which are subject to protection according to the law. It is important to note that copyright arises immediately from the moment of creation of the work, and this moment is recognized by the manifestation of the work on a tangible medium in such a way that it can be understood by others.
Enhancing Innovation Through Bayesian Networks in Recommender Learning Paths

In an era characterized by rapidly evolving educational paradigms, the imperative to foster innovation and facilitate personalized learning experiences cannot be overstated. Traditional recommendation algorithms, such as collaborative filtering and content-based approaches, have played a pivotal role in tailoring educational content to individual needs. However, these methods, though effective in many respects, tend to perpetuate established preferences, inadvertently stifling innovative thinking. This chapter explores the transformative potential of Bayesian networks within recommender systems to address these limitations. It begins by examining the restrictions inherent in conventional recommendation algorithms, emphasizing the significance of fostering innovation in education. Bayesian networks are introduced as a revolutionary solution capable of bridging these gaps. This chapter offers a comprehensive overview of how Bayesian networks can reshape the landscape of personalized learning.
Literasi Membaca dan Menulis Untuk Anak Usia Dini di Rumah Ajare Desa Saunulu

This article describes literacy for early childhood which is carried out to prepare them to enter elementary school. The aim of the activity is focused on disadvantaged, poor areas, and aspects of education that have not been touched upon by services. Most of the parents and children in Mangga Dua hamlet are still illiterate. It is hoped that through this activity, awareness of reading and writing can be increased so that children can continue their education at primary school level and can build high awareness, concern and responsiveness from the local community. The service uses the assistance method of reading and writing practice for approximately 3 days and training for the managers of Rumah Ajare. Outreach was provided to the local community regarding the importance of reading and writing literacy education for children. This activity is a motivation for the government to pay attention to transportation facilities and educational infrastructure for local communities. It is hoped that the provision of assistance in the form of reading books and stationery equipment by the community service team can also increase the activities of school children at Rumah Ajare.
A Survey on Post-Quantum Cryptography for 5G/6G Communications

As quantum computing capabilities accelerate, together with the discovery of Shor's Algorithm, existing encryption protocols, such as TLS (Transport Layer Security) and IPsec (Internet Protocol Security), face the risk of becoming obsolete. This vulnerability poses a significant challenge for 5G and 6G mobile networks, which rely on these protocols for data transmission. This survey explores the potential of Post-Quantum Cryptography (PQC) algorithms as viable alternatives for securing mobile communications. Through a comprehensive review of NIST-shortlisted PQC algorithms, this paper examines their relevance, efficiency, and adaptability in 5G and 6G architectures. Case studies, including real-world implementations by Amazon Web Services (AWS) and IBM, illustrate the growing acceptance and practical applicability of these quantum-resistant algorithms.
Mitigating Catastrophic Forgetting in Continual Learning-Based Image Classification

The report investigates catastrophic forgetting (CF) in the context of continual learning using neural networks for image classification tasks. The study employs simple and small networks on datasets like the MNIST and split-CIFAR10, observing the immediate loss of knowledge when networks switch jobs. While findings align with some existing literature, severe forgetting is attributed to increased jobs, smaller networks, and lack of interleaved training. Notably, a more extensive network with a pretraining dataset exhibits more gradual forgetting, suggesting potential mitigation. A technique involving separate classifiers for each task is proposed, though practicality hinges on task awareness and classifier availability. The report recommends further exploration, suggesting experiments with more extensive networks pre-trained on diverse datasets and hybrid latent representations from classification and reconstruction models. The potential of the VAE is highlighted, as is empirically analyzing forgetting across different task numbers in split datasets.
Perception Pipeline of Autonomous Mobile Robots Using 3D Point Cloud Classification

Robotics can be used in structured environments such as industrial manufacturing plants and warehouse storage. The paper discusses the necessity of a strong perception pipeline for mobile robots in dynamic environments such as malls and airports. To create accurate maps of the environment, we highlight the importance of both 2D and 3D mapping and point out the issues with manual 2D map cleaning, manual creation of restricted zones, and manual classification of dangerous locations. The process of manually gathering and processing the 3D point clouds from real-world environments was tedious and time-consuming. Hence, one of the contributions of the paper is the generation and labelling of such point clouds from NVIDIA Omniverse scenes. We reviewed the technological advances that have made it possible to deploy robot fleets in structured environments and gave examples of sectors that have successfully used mobile robots with perception pipelines. The advantages of the perception pipeline implementation are also discussed, including improved path planning, navigation, and obstacle avoidance.
Cyber Range Revolution: Transforming the Future of Cybersecurity Training

To provide a Cyber Range with automated provisioning and configuration capabilities, our work eliminates the need for manual work when providing a simulated platform for cybersecurity education, practice, and cyber warfare training securely and legally. This paper presents our detailed work which include using VMware vSphere, Terraform and Ansible to automate and build the Cyber Range infrastructure in a versatile and flexible way with minimum manual work.
Privacy-Centric Approach in Leveraging Federated Learning for Improved Parkinson's Disease Diagnosis

Parkinson's disease (PD), a neurodegenerative disorder that affects millions of people worldwide, requires an accurate and early diagnosis for opportune interventions and individualized treatment. However, the process of diagnosis frequently necessitates access to extensive patient data, which raises significant privacy concerns. Federated machine learning (FedML) techniques provide an enticing solution by permitting model training across multiple data sources without sharing raw data, thereby mitigating privacy risks. In the context of Parkinson's disease diagnosis, this chapter provides a comprehensive review in the field of medical diagnosis by highlighting the potential of FedML strategies in improving PD diagnosis with the use of various FedML techniques. Also, the chapter offers a novel approach which utilizes the strengths of FedML techniques. By distributing the training process and leveraging FedML techniques, the authors propose an approach which harnesses a diverse range of patient data and enables accurate PD diagnosis without compromising patient privacy.