bluuebunny/crossref_metadata_2025 huggingface dataset:
LONG REACH DUAL POLARIZATION 128-QAM SYSTEM WITH DISPERSION/ NONLINEAR COMPENSATION USING OPTICAL BACK PROPAGATION
Authors:   Guru Nanak Dev Engineering College, India, Kaur Baljeet ,   Guru Nanak Dev Engineering College, India
Published: October 2024

Optical network systems with prolonged reach are required to cater the long distance located optical network units (subscribers). In this work, a DP-128 QAM based system is proposed with Optical Back Propagation (OBP) to cope up with nonlinear impairments in wavelength division multiplexed (WDM) systems. OBP module that consists of optical phase conjugator (OPC), Raman fiber amplifier (RFA) and erbium doped fiber amplifier (EDFA) is investigated in pre, post and symmetrical configuration. Ideal OBP conditions are simulated using Dispersion Compensation Fiber (DCF) as a RFA with dual directional pumping. Dual directional pumping shows better result than forward and backward pumping. Results revealed that system can cover 5100 km within acceptable BER (10-3) using symmetrical OBP with RFA dual bi-directional pumping. Proposed symmetrical OBP system provides enhanced performance as compared to other techniques such as single channel digital back propagation (DBP), wideband DBP, pre OBP with forward pumping, pre OBP with backward pumping, pre OBP with dual directional pumping, and post OBP with dual directional pumping.
A COMPARATIVE STUDY ON CYBER SECURITY THREATS DETECTION IN INTERNET OF THINGS
Authors:   P K R Arts College for Women, India, P Vijayalakshmi , D Karthika ,   P K R Arts College for Women, India
Published: October 2024

Internet of Things (IoT) is an evolving digital technology, which is mainly meant to bridge physical and virtual world. New business model has been emerged because of people, objects, machines and Internet connectivity along with new interactions amid humanity and remaining world. IoT is considered as a gateway for cyber-attacks since various resources such as systems, applications, data storage, and services are connected through IoT that relentlessly provide services in the organization. IoT security is challenging factor due to prevailing software piracy and malware attacks presently. The economic and reputational damages are caused by these threats due to crucial information burglary. IoT malware detection is yet another challenging factor due to security design deficiency besides IoT devices specific characteristics such as processor architecture heterogeneity, particularly on identifying cross-architecture IoT malware. Hence, IoT malware detection area is main objective of this research by security community recently. The familiar dynamic or static analyses to detect IoT malware is greatly deployed in various researches with its benefits. A systematic review relating to latest research studies and technologies of classical, Deep Learning (DL) and Machine Learning (ML) methodologies for cyber security threats recognition are outlined and are view is given in this paper. Every approach pertaining to its objective, approach and outcomes have been examined for every selected work. Deep Learning (DL) approach is greatly utilized for malware infected files and pirated software recognition in IoT network in cloud. Several software piracy and malware attack detection methods has been analyzed in this paper with respect to its advantages and disadvantages. The source code plagiarism is detected through DL methodology and dataset collection is done from Google Code Jam (GCJ) for software piracy investigation. Rather than this, Deep Convolutional Neural Network (DCNN) is mainly involved in identifying malicious infections in IoT network. Mailing dataset is utilized for obtaining malware samples which is used for experimental purpose. It is thereby substantiated that suggested method namely Tensor Flow Deep Neural Network (TF-DNN) classification performance for assessing cyber security threats in IoT are enhanced when compared with classic approaches such as Support Vector Machine (LBP+SVM), Gray Level Cooccurrence Matrix with Support Vector Machine (GLCM+SVM) pertaining to F-measure (F1) and Classification Accuracy (CA).
SECURE AND ENERGY AWARE TASK SCHEDULING IN CLOUD USING DEEP LEARNING AND CRYPTOGRAPHIC TECHNIQUES
Authors:   Tiruppur Kumaran College for Women, India, S Rekha , C Kalaiselvi ,   Tiruppur Kumaran College for Women, India
Published: October 2024

Cloud Computing is one amid emerging technology greatly necessitated aiding computing on demand services by letting users for subsequent pay-per-use-on-demand scheme. The service cloud providers have non insignificant impacts on ideal resources exploitation and cost benefit in case of Energy aware task scheduling in cloud. Presently Minimum Migration Time (MMT) policy was employed for Virtual Machines migration and offering an energy proficient cloud service. Nonetheless prevailing methodologies never concentrated on any security for cloud. The confidential data protection is highly demanded now-a-days due to increasing users for cloud computing. Hence robust security system for cloud computing is greatly demanded by various cloud researchers. An enhanced approach is presented for mitigating these concerns in which Artificial Bee Colony Optimization (ABC) is deployed for queuing all incoming tasks into multi-level. Shortest-Job-First (SJF) buffering and Min-Min Best Fit (MMBF) scheduling algorithms are checked initially. The SJF buffering and Extreme Learning Machine (ELM)-based scheduling algorithms integration is done for evading job starva¬tion probability in SJF-MMBF. The over utilized host detection is achieved through Adaptive Neuro Fuzzy Inference System (ANFIS) and Virtual Machines (VMs) migration is attained via Minimum Migration Time (MMT) policy from over-utilized hosts to other hosts for energy consumption reduction. Also, security in cloud is greatly achieved by presenting a novel cryptographic technique. There are several advantages such as sharing hardware, software and losing data fear deficiency and due to which current demand for cloud computing is greatly necessitated. The significant information on cloud is maintained by business person, hence data security is vital concern as there is hacking and unauthorized access probability. Here cloud data encryption is attained through elliptic curve cryptography, hence successful and secure storage on cloud is accomplished thereby. The authorized user might access cloud data via key in the suggested system.
A NOVEL EFFICIENT SECURITY VERIFICATION TECHNIQUE BASED ON SERVICE PACKAGE IDENTIFIER IN WIRELESS MOBILE AD-HOC NETWORKS
Authors:   Vemana Institute of Technology, India, H.C. Kantharaju , V.V. Apurva ,   Acharya Bangalore B School, India, B Gopinathan ,   Adhiyamaan College of Engineering, India, A Nallathambi ,   Roever Engineering College, India
Published: October 2024

This paper presents a novel and efficient security verification technique for Wireless Mobile Ad-Hoc Networks (MANETs) using The Service Package Identifier (SPI). The dynamic and self-organizing nature of MANETs makes them susceptible to a variety of security threats. Using the SPI, the proposed technique authenticates and verifies the integrity of service bundles exchanged between network nodes. By employing the SPI as a unique identifier for each service packet, the technique protects against unauthorized access and data tampering and ensures secure communication. The experimental results demonstrate the efficacy and efficiency of the proposed technique, which offers improved MANET security and resiliency.
EFFICIENT HANDOFF MANAGEMENT IN 5G ULTRA DENSE NETWORKS USING DYNAMIC BEAMFORMING TECHNIQUES
Authors:   Bishop Heber College, India, R ThamaraiSelvi , Andrews S. Kevin ,   Srinivas University, India, Rammohan S. Radha ,   Srinivas University, India, A Jayanthiladevi ,   Srinivas University, India, Asabere Nana Yaw ,   Accra Technical University, Ghana
Published: October 2024

The fifth-generation (5G) ultra-dense networks (UDNs) using dynamic beamforming have drawn massive attention due to their ability to increase spectral and energy efficiency. This paper explores the handoff management process for 5G UDNs with dynamic beamforming. The handoff management between any two base stations is implemented through the beam scanning mechanism based on angle of arrival and angle of departure, allowing base stations to switch seamlessly from one antenna beam to another. Utilizing the beamforming technology allows the base station to track the user location, as well as the user devices’ movements during handoff, thus providing a better user experience. The proposed handoff management for 5G UDNs with dynamic beamforming reduces handoff latency significantly, leading to an increase in efficiency. Besides, the proposed system also increases the service availability and supports connections between the base station and user through narrow beams, enabling more users to use the service at the same time. The conclusion presented in this paper is that the proposed handoff management in 5G UDNs with dynamic beamforming is an effective solution to various technical challenges associated with handoff management in wireless networks.
NEXT-GENERATION INTRUSION DETECTION AND PREVENTION SYSTEMS FOR IT AND NETWORK SECURITY
Authors:   Sri Ramakrishna Engineering College, India, S Bhaggiaraj , S Shanthini ,   Sri Ramakrishna Engineering College, India, S.S. Sugantha Mallika ,   Sri Ramakrishna Engineering College, India, R Muthuram ,   Government College of Technology, Coimbatore, India
Published: October 2024

In cybersecurity, the constant evolution of threats demands the development of next-generation Intrusion Detection and Prevention Systems (IDPS) to safeguard IT infrastructure and networks effectively. This research embarks on the journey of designing an innovative IDPS using a Dense VGG classifier, fueled by IoT data as its primary input source. Our approach combines the robustness of the Dense VGG architecture with the rich information generated by Internet of Things (IoT) devices, enhancing the system ability to detect and prevent intrusions. We gather diverse IoT data from sensors and devices within the IT infrastructure, ensuring the availability of labeled data that signifies known intrusion events. After meticulous preprocessing and feature engineering, we adapt the Dense VGG model, originally designed for image classification, to work with tabular IoT data. Transfer learning techniques are applied, leveraging pre-trained VGG models to expedite convergence and enhance performance. Real-time data streaming mechanisms are established to seamlessly integrate IoT data, making the system proactive in identifying threats. Upon detection, the system can respond by isolating affected devices, blocking suspicious network traffic, or initiating incident response protocols. Continuous monitoring and evaluation ensure the system reliability, with key metrics serving as indicators of its efficacy. Deployment considerations, such as scalability and redundancy, guarantee the system readiness to handle the influx of IoT data. Furthermore, integration with other security tools and compliance with regulatory standards strengthen the system overall cybersecurity posture. The core of our system lies in its intrusion detection logic, a set of rules and thresholds that trigger alerts or preventive measures based on model predictions. In testing, our system demonstrated an impressive intrusion detection accuracy of over 95%, significantly reducing false positives.
SECURING WIRELESS COMMUNICATION USING NOVEL TRANSFER LEARNING FOR ENCRYPTION IN WIRELESS NETWORKS
Authors:   Government Arts and Science College, Chennai, India, Jagannathan Jayaganesh , Kumara S.G. Prasanna ,   Government Science College, Hassan, Karnataka, India, Narayana T. Lakshmi ,   KLM College of Engineering for Women, India, Alam Mohammad Shabbir ,   Jazan University, Kingdom of Saudi Arabia
Published: October 2024

Wireless communication is vulnerable to various security threats, including eavesdropping and data interception. To bolster the security of wireless networks, this research explores the application of novel transfer learning techniques for encryption. Transfer Attention learning leverages knowledge from related domains to enhance the performance of encryption methods in wireless communication. This research investigates the application of Transfer Attention Learning, a cutting-edge machine learning technique, to bolster the security of wireless networks. Transfer Attention Learning harnesses knowledge from related domains to enhance the performance of encryption methods in wireless communication. This comprehensive framework encompasses data collection, feature extraction, model selection, training, and deployment. A substantial dataset of wireless network traffic, encompassing benign and malicious packets, is collected. Feature extraction techniques are employed to discern pertinent patterns in the data. Transfer Attention Learning models are meticulously chosen and fine-tuned to align them with the specific requirements of wireless network encryption. The model efficacy is rigorously evaluated using diverse metrics to ensure optimal security enhancement. Subsequently, the model is seamlessly integrated into the wireless network infrastructure, thereby fortifying protection against potential security threats. Ongoing monitoring, updates, regulatory compliance, and user education constitute essential facets of this security framework. This research signifies a significant advancement in wireless network security by harnessing the potential of Transfer Attention Learning to fortify encryption measures, ensuring the safeguarding of sensitive data within wireless communication channels.
DYNAMIC ROUTING ALGORITHM FOR EFFICIENT WIRELESS TRAFFIC MANAGEMENT USING EVOLUTIONARY ALGORITHM
Authors:   St. Joseph College of Engineering, India, A Tamizhselvi , Rani P. Kavitha ,   Sri Krishna College of Engineering and Technology, India, P Vijayalakshmi ,   Knowledge Institute of Technology, India, Chaudhari Sachin Vasant ,   Sanjivani College of Engineering, India
Published: October 2024

Efficient traffic management in wireless networks is crucial for optimizing resource utilization and enhancing overall network performance. This paper introduces a novel approach to dynamic routing algorithms utilizing evolutionary algorithms for effective wireless traffic management. The proposed system leverages the adaptability and optimization capabilities of evolutionary algorithms to dynamically adjust routing paths based on real-time network conditions. Our algorithm employs a genetic programming framework to evolve and refine routing strategies, considering factors such as network congestion, link quality, and traffic load. This dynamic approach enables the network to autonomously adapt to changing conditions, ensuring optimal route selection for data transmission. The evolutionary nature of the algorithm allows it to continually learn and improve, making it well-suited for the dynamic and unpredictable nature of wireless environments. The effectiveness of the proposed algorithm is evaluated through extensive simulations, demonstrating significant improvements in terms of throughput, latency, and overall network efficiency compared to traditional static routing approaches. The system ability to handle diverse traffic patterns and adapt to varying network scenarios positions it as a robust solution for next-generation wireless networks.
VEHICULAR NETWORK OPTIMIZATION VIA KESHTEL ALGORITHM WITH INSIGHTS FROM LEABRA MODELS
Authors:   Sri Sai Ram Engineering College, India, B Priya , J. M. Nandhini ,   Sri Sai Ram Institute of Technology, India, S Samundeswari ,   Sri Sai Ram Engineering College, India
Published: October 2024

In vehicular communication networks, optimizing connectivity and efficiency is paramount for ensuring seamless and reliable communication among vehicles. The identified problem centers on the inadequacies of traditional optimization approaches in addressing the dynamic and complex nature of vehicular networks. The absence of a comprehensive solution that combines the adaptive capabilities of the KESHTel algorithm with the cognitive insights gained from Leabra models. Existing methodologies often fall short in adapting to real-time changes and fail to capitalize on cognitive principles for efficient decision-making. This research addresses the need for enhanced vehicular network optimization by proposing the utilization of the KESHTel algorithm, coupled with insights derived from Leabra models. The method details the integration of the KESHTel algorithm, known for its adaptive learning capabilities, with insights from Leabra models, which are inspired by the neural architecture of the brain. This hybrid approach leverages machine learning and cognitive principles to optimize communication routes, minimize latency, and allocate resources intelligently within the vehicular network. Results from simulations and experiments demonstrate the effectiveness of the proposed approach in improving communication reliability, reducing congestion, and enhancing overall network performance. The findings indicate a significant advancement in vehicular network optimization, showcasing the potential of the KESHTel algorithm and cognitive insights from Leabra models in addressing the complex challenges inherent in dynamic vehicular environments.
Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024)
Authors: Hu Jing , Li Chong , Ge Yanlei , Yang Jingyi , Zhu Siyi , He Chengqi
Published: October 2024

Background

While bibliometric studies of individual journals have been conducted, to the best of our knowledge, bibliometric mapping has not yet been utilized to analyze the literature published by the Journal of Medical Internet Research (JMIR).

Objective

In celebration of the journal’s 25th anniversary, this study aimed to review the entire collection of JMIR publications from 1999 to 2024 and provide a comprehensive overview of the main publication characteristics.

Methods

This study included papers published in JMIR during the 25-year period from 1999 to 2024. The data were analyzed using CiteSpace, VOSviewer, and the “Bibliometrix” package in R. Through descriptive bibliometrics, we examined the dynamics and trend patterns of JMIR literature production and identified the most prolific authors, papers, institutions, and countries. Bibliometric maps were used to visualize the content of published articles and to identify the most prominent research terms and topics, along with their evolution. A bibliometric network map was constructed to determine the hot research topics over the past 25 years.

Results

This study revealed positive trends in literature production, with both the total number of publications and the average number of citations increasing over the years. And the global COVID-19 pandemic induced an explosive rise in the number of publications in JMIR. The most productive institutions were predominantly from the United States, which ranked highest in successful publications within the journal. The editor-in-chief of JMIR was identified as a pioneer in this field. The thematic analysis indicated that the most prolific topics aligned with the primary aims and scope of the journal. Currently and in the foreseeable future, the main themes of JMIR include “artificial intelligence,” “patient empowerment,” and “victimization.”

Conclusions

This bibliometric study highlighted significant contributions to digital health by identifying key research trends, themes, influential authors, and collaborations. The findings underscore the necessity to enhance publications from developing countries, improve gender diversity among authors, and expand the range of research topics explored in the journal.
The Competition between Productive Failure and Direct Instruction Is not Determinable: A Review of the Deviations and Reasons
Authors: Wu Bin
Published: October 2024

Teaching the learner new information demands careful implementation. The implementational protocols are derived from instructional ideologies and purpose of the design. It not only requires the instructors to grasp the essence of instructional designs without an extemporaneous amending or exchanging of the theoretically proven meaningful teaching events, but also, a precise actualization of structure and approach as well as its behind ideology is demanded. Those rationales and references for instructors to determine when and how to implement instruction, what practice or what strategies are needed to be taught ought to be precise enough to separately explain their advantages and prediction of outcomes in learning. In this article, we explored how both problem-proceeding learning and guidance-proceeding learning are beyond control regarding the deviated cognitive processing those instructional procedures can possibly elicited.
Movilidad residencial intrametropolitana en México, 2000-2020
Authors: Sobrino-Figueroa Luis Jaime
Published: October 2024

La movilidad residencial consiste en el cambio de domicilio al interior de una ciudad o de una zona metropolitana. En este documento se estudian las principales características de la movilidad residencial en las zonas metropolitanas de México en 2000, 2010 y 2020, destacando los puntos de origen y de destino de los flujos. Para realizar el análisis se utiliza información de los microdatos de los censos de población y vivienda. En forma adicional, se toma como referencia el ejercicio de delimitación de zonas metropolitanas en 2020 realizado por Isela Orihuela y Jaime Sobrino, según el cual el país contaba en ese año con 62 zonas metropolitanas, en las que participaban 338 municipios (Orihuela y Sobrino, 2023). Los resultados muestran que la intensidad de la movilidad residencial intrametropolitana ha sido decreciente en el tiempo, además de que dicha intensidad está asociada al tamaño de población de la aglomeración metropolitana. Los hogares realizan movilidad residencial principalmente para ajustar las características y las necesidades de su vivienda.
Comparative Study of Biosorption and Traditional Methods for Heavy Metal Removal from Industrial Wastewater in Panipat
Authors: Maan Ritu
Published: October 2024

In this research paper, I have thoroughy described about the topic Comparative Study of Biosorption and Traditional Methods for Heavy Metal Removal from Industrial Wastewater in Panipat.” Industrial wastewater contamination by toxic heavy metals poses a significant environmental threat globally, especially in rapidly industrializing regions like Panipat District in Haryana, India. Panipat, renowned for its extensive textile and chemical industries, generates substantial volumes of wastewater laden with heavy metals such as lead (Pb), cadmium (Cd), and mercury (Hg). Recent studies have revealed that the concentrations of these metals in Panipat's industrial effluents frequently surpass the permissible limits set by environmental regulations. Traditional methods for heavy metal removal, including chemical precipitation and ion exchange, are widely utilized but often entail high operational costs and the generation of secondary pollutants like sludge. Biosorption, an emerging and sustainable technology, offers a promising alternative by utilizing biological materials such as algae, bacteria, and agricultural waste to adsorb heavy metals from wastewater. This study aims to investigate the effectiveness, cost-effectiveness, and environmental impact of biosorption compared to traditional methods in Panipat District. By examining heavy metal removal efficiencies, conducting cost analysis, and assessing environmental implications, this research seeks to provide valuable insights into sustainable wastewater treatment practices.
Nano Filtration Techniques in Waste Water Treatment
Authors: Pawar Shraddha Shivappa
Published: October 2024

Nano filters, based on nanotechnology to improve filtration processes, offer sophisticated solutions for contaminant removal from liquids and gases. The filters in this group include polymeric membranes with a pore size of 1-100 nanometres, ceramic membranes that are tolerant to chemicals, and carbon nanotube and graphene-based filters with advancedpermeability and selectivity. Recently, differentiated nanomaterials have been developed to make composite membranes with improved performance and durability. However, NF have disadvantages such as membrane fouling and high production costs. In this respect, research is currently being done to come up with solutions to the challenges, optimize the integration of nanomaterials, and realize application possibilities in water treatment, air purification, and industrial processes. On the whole, NF stand as the radical improvement filtration technology has so far achieved, and further research is bound to make them more efficient and cheaper About 17–19 million people in the world lack access to clean water. It is estimated that about 3.4 million people die every year from water scarcity, sanitation, and hygiene-related problems out of which 99% of deaths occurin developing countries. In recent years, water contamination has become a global environmental concern. The paper providesinsights into advancements in wastewater treatment through nano-filters. The paper focuses on evaluating the effectiveness ofnanomembranes in removing containments such as inorganic salts, organic compounds, and heavy metals. Additionally, the paper gives information about performance based on a comparison of the tractional filters and RO in terms of flexibility, durability, efficiency, and cost-effectiveness. Furthermore, it explores the application of NF in industries such as textile, pharmaceuticals, and agriculture and evaluates the versatility and effectiveness in these sectors.
Assessment of the Regional Distribution of Multicultural Musical Pieces Included in South Korean Music Textbooks: Perspectives on Human and Economic Exchange with Foreign Countries
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Kyung Suk , Chun Kyung Wha
Published: October 2024

Objectives The aim of this study is to analyze the correlation between the geographical distribution of multicultural music pieces included in music textbooks and the geographical distribution of resident foreigners and trading partner countries, at national, regional, and continental levels. This seeks to determine whether the geographical distribution of included pieces adequately reflects the geographical distribution of human and economic exchanges.
Methods Multicultural musical pieces such as folk songs, children's songs, popular music, film music, and musical theater music included in three types of elementary, middle, and high school music textbooks published by companies like Geumseong Publishing, Jihaksa, and Bisang were classified by country, region, and continent. Data on the nationalities of resident foreigners and trade data by trading partner countries were utilized as proxies for human exchange and economic exchange, respectively. The correlation between the proportion of multicultural musical pieces included in music textbooks by country, region, and continent and the proportion of resident foreigners and foreign trade by country, region, and continent was analyzed separately.
Results The correlation between the distribution of included musical pieces and the distribution of resident foreigners was not statistically significant at the continental and regional levels, and at the national level, there were some statistically significant cases across textbooks, although the coefficient values were below 0.5. The correlation between the distribution of included musical pieces and foreign trade was not statistically significant at the continental level, significant cases were observed at the regional level across textbooks, and statistically significant at the national level across all textbooks, although the coefficient values were below 0.6.
Conclusions Firstly, for the promotion of multicultural understanding, the proportion of included pieces should reflect both economic exchange proportions and human exchange proportions, with priority given to the latter considering its more direct impact. Secondly, it is essential to prioritize the introduction of pieces from Central Asian countries where human exchange is rapidly increasing and North African countries where there is relatively high economic exchange. Additionally, efforts should be made to increase the proportion of pieces from Southeast Asian countries, which have relatively low inclusion rates compared to their levels of human and economic exchange.
Analysis of Perceptions on Key Competencies in Research Activities Required for Future Science and Technology Professionals: A Case Study of Students at Institute of Science and Technology
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Heemok , Ryu Chun Ryol , Park Kyeong Jin , Lee Dong Won
Published: October 2024

Objectives This study aimed to investigate the importance and satisfaction of key competencies at each stage of research activities required for prospective science and technology professionals, with the objective of deriving improvement suggestions for tailored research programs.
Methods For this purpose, a survey was conducted among 100 students from K University, a specialized science and technology university, who volunteered to participate. Based on their experience in research programs, the survey identified the perceived differences in importance and satisfaction of the key competencies required at each stage of research activities.
Results The analysis revealed that in the problem identification stage, key competencies to be prominently cultivated included diverse experiences and specialized knowledge, as well as differentiation strategies in research. In the preparation stage, emphasis was placed on establishing human and material networks and acquiring knowledge related to research. The idea generation stage highlighted the need for various method proposals and the integration of heterogeneous information. In the idea validation stage, rigorous validity review, honesty, objectivity, meticulous and rational thinking were identified as crucial competencies. In the idea execution stage, competencies such as time management and resilience to failure were emphasized. Finally, in the utilization stage of the output, the cultivation of competencies like the application of developed knowledge and the restructuring and reuse of knowledge and methods were deemed pivotal.
Conclusions This study is significant as it provides practical directions for cultivating the competencies needed for research activities among students at specialized science and technology universities and for improving research programs. It is expected to serve as foundational data for future research program operation improvements.
The Relationship Between Perceived Social Support and Cooperation in Elementary School Students: Focusing on the Mediating Effect of Self-Esteem
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jung Heehyun , Chung Hyewon
Published: October 2024

Objectives The purpose of this study is to examine the structural relationships among elementary school students' perceived social support from parents, friends, and teachers, self-esteem, and cooperation, with a focus on investigating the direct and indirect effects of social support on cooperation, mediated by self-esteem.
Methods For this purpose, structural equation modeling was applied to the responses of 2,411 6th grade elementary school students from the third wave (2020) of the Korean Children & Youth Survey 2018 (KCYPS 2018) conducted by the Korea Institute of Child Care and Education. The measurement instruments used were scales for social support, self-esteem, and cooperation. Correlation analysis, confirmatory factor analysis, measurement model analysis, and structural equation modeling were conducted to understand the structural relationships among the variables.
Results The analysis results revealed the following: First, perceived parental support directly and significantly influenced cooperation among elementary school students. Second, the influence of perceived parental support on cooperation was partially mediated by self-esteem. Third, perceived teacher support did not have a direct significant impact on cooperation but showed a complete mediating effect through self-esteem. Fourth, perceived friend support did not significantly influence cooperation.
Conclusions Based on these findings, this study confirms the importance of parental and teacher support as factors influencing elementary school students' perceived social support and verifies the mediating effects of self-esteem on cooperation. It underscores the significance of positive relationships between parents and children, as well as between teachers and students, in fostering cooperation among elementary school students. Additionally, it highlights the role of parents and teachers in supporting the positive development of children's self-esteem.
The reality and difficulties of actual musical activities of infant teachers
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, CHO YEON KYOUNG , KWON KYUNG SOOK , KIM YUN SUN
Published: October 2024

Objectives The purpose of this study is to examine the practices and challenges faced by infant teachers in conducting musical activities.
Methods As for the participants in the method study, nine voluntary teachers who had experience in teaching the infant class or were serving as infant class teachers were selected as the purpose sampling method. After the preliminary interview and the second interview, all interviews with infant teachers were recorded with consent, and the recorded data were derived through in-depth analysis.
Results The results indicated that infant teachers engage in musical activities that are: firstly, simple and repetitive; secondly, integrated into daily routines and play activities; thirdly, centered around the teachers' own musical experiences during childhood. The difficulties faced by infant teachers in musical activities include a lack of specialized knowledge, limitations in providing musical environments suitable for infant characteristics, and exhaustion due to repetitive musical activities.
Conclusions In conclusion, to go beyond the limitations of providing musical environments and prevent exhaustion, practical support methods for musical activities tailored to the repetitive play developmental characteristics of infants are needed, along with environmental and instructional media support.
Grammar and Vocabulary Analysis in the Text of Naughty Archie Series Picture Books Using the Analysis Tool cosmoTA
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Sung Miyoung , Chang Moonsoo
Published: October 2024

Objectives In this study, grammar and vocabulary characteristics in the entire Naughty Arch Series picture book and text by volume were analyzed using the analysis tool cosmoTA.
Methods To this end, the texts of 20 naughty Archie series picture books were recorded, the mean length of utterance and vocabulary diversity of the texts were measured, and the list of high-level words by part of speech was analyzed.
Results As a result of the analysis, the mean length of utterance of the entire text of the picture book was 1.86, and the vocabulary diversity by part of the word was 0.23-1, and Archie, good, hiccup, stop, and wow were the most used as the top word list.
Conclusions The significance of the study can be found in that analysis tools were developed and utilized in analyzing the grammar and vocabulary characteristics of Naughty Archie series picture book texts with two-year-old infants as readers.
The Impact of Academic Achievement, Clinical Performance Ability, and Mental Toughness on Burnout Among Nursing College Students During Practicum: A Multiple Mediation Model Analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jo Heyon Na , Kim Do Hee
Published: October 2024

Objectives This study examined the effects of academic achievement, clinical performance, and mental toughness on burnout experienced by nursing college students during their practicum period. Furthermore, We analysed the mediating effects of clinical performance and mental toughness on the relationship between academic achievement and burnout.
Methods A survey was conducted with 167 fourth-year nursing students enrolled in clinical training courses. The collected data were analyzed using SPSS and PROCESS macro programs, and the relationships between variables were examined through regression and mediation model analyses. Mediation model analysis was conducted by examining the significance of the mediation effect using bootstrapping according to the method suggested by Hayes (2013).
Results The results indicated that higher academic achievement was associated with higher clinical performance ability and mental toughness, but did not have a direct effect on burnout. Increased clinical performance was associated with increased mental toughness and decreased burnout. Additionally, higher mental toughness was associated with lower burnout. Mediation model analysis showed that clinical performance ability and mental toughness individually and sequentially significantly mediated the relationship between academic achievement and burnout.
Conclusions These findings suggest that academic achievement indirectly affects burnout by improving clinical performance and mental toughness. Therefore, clinical performance and mental toughness should be considered along with academic achievement to alleviate burnout among nursing students. This study emphasizes the need for interventions and programs to increase mental toughness in nursing education in order to support students' psychological stability and professional development.
A Study on the Perception of School Education Among Elementary School Parents Born in the 1970s and 1980s
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Han Eunjung , Jung Hyejoo
Published: October 2024

Objectives This study aims to explore the experiences and perceptions of modern generations of parents regarding school education, with the goal of understanding these groups and deriving implications for enhancing parental participation in school activities.
Methods The study involved conducting group interviews with a total of 10 elementary school parents born in the 1970s and 1980s. The interview data were analyzed using thematic analysis, following the steps of open coding, theme identification, and higher-level theme development.
Results First, the parents recognized a shift from the past, where school education was characterized by strict discipline, to a current environment focused on freedom, enjoyment, and activity-based learning. They also noted a transition from a supply-driven to a demand-driven school atmosphere, along with a significant decrease in the number of students per class. Second, while some parents expressed a lack of specific expectations for their children's elementary education, many anticipated that schools would serve as spaces providing ‘educationally meaningful and safe care.’ Additionally, there was a noticeable emphasis on the social development of their children over academic achievement. Third, the ideal school education envisioned by parents is one where students learn to live harmoniously with others, acquire the basics of life, and internalize attitudes that help them achieve their personal goals through self-understanding.
Conclusions First, compared to the past, parents place relatively less emphasis on the academic aspect of school education but maintain high expectations for ‘educationally meaningful care.’ This highlights the need to explore educational approaches that balance cognitive learning with the development of social skills. Second, the parental aspirations for their children's education―such as learning to live harmoniously with others and understanding themselves―should not be confined to school settings but should be supported through collaboration with families and the broader community. Therefore, it is essential to strengthen practical, experience-based parental education, enabling parents to cooperate with schools more effectively in supporting their children's growth and development.
A case study on new media literacy convergence play classes with children and parents
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Ga-Young , Paik Seoung-Hey
Published: October 2024

Objectives The purpose of this study is to explore the possibility of cultivating new media literacy in children and parents through ‘a case study of new media literacy convergence play classes with children and parents’ to respond to the digital era.
Methods To this end, the researcher utilized a new media learning environment so that children and parents who lack experience in metaverse classes could communicate and participate together, and conducted an action study to apply new media convergence play that harmonizes creativity, emotion, and personality to kindergarten research. In this process, the researcher who played the role of a teacher utilized the action research method of the spiral circular structure of ‘plan-execution-reflection-replan’ to reflect on and improve the metaverse convergence play class.
Results In terms of ‘understanding new media,’ children and parents recognized that they could immerse themselves, challenge themselves, and control themselves in new media spaces. In addition, in terms of ‘using new media safely’, both children and parents understood that new media should be used at appropriate times and used in a sound manner. And in terms of ‘discriminative acceptance of new media,’ we learned that we need to be able to use appropriate information by making choices in the flood of information. Next, as ‘producers of information and value,’ children and parents were able to complete works together and display them at the Metaverse Art Museum, and ‘cooperate through problem solving, respect each other, and cultivate aesthetic morality.’ Lastly, children and parents ‘communicated positively socially and culturally through collective intelligence’ inside and outside the metaverse, showing positive effects in all elements of new media literacy.
Conclusions Parents and children participated in classes together and recognized new media as a space that opened up new possibilities and looked at the relationship between media, technology, and the environment in a new way, rather than simply as a means of learning or learning knowledge. I also learned that there are various ways to play and learn, and discovered open participation and exchange among various members and new expansion through the connection of spaces. In other words, through understanding and playing with new media, it becomes an opportunity to cultivate the ability to discover new values ​​and possibilities by linking and integrating knowledge, technology, and experience in other spaces and fields. As a result, new media literacy competency is gradually developed. strengthened. Through this study, it was confirmed that continuous discussions are needed to develop play cases from various angles and apply them to education to foster new media literacy capabilities of learners and parents to respond to the changing times.
Narrative Exploring on the Experience of Concretizing the Chief Complaint of Counselee
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Cho Chi-Eun , Seo Yi-Ra , Hong Gi-Jo , Lee Myung-Woo
Published: October 2024

Objectives The purpose of this study is to understand the client’s experience of concretizing the chief complaint and the meaning of the experience in initial counseling and to reveal the experience of life change.
Methods Participant in the study consisted of female in their twenties, Following one counseling session, three rounds of in-depth interviews and data analysis were conducted. This research employed a narrative study methodology to deeply explore the experience and significance of the chief complaint in initial counseling sessions.
Results Based on the data analysis, 2 domains and 6 subcategories, totaling 14 units of meaning, were derived. The experiential domains of the chief complaint include ‘The light of hope found in the midst of frustration’, ‘A counselor of who helped to open the closed door of your heart’, ‘My inner self navigated by understanding how my mind works, ’The butterfly effect of counseling in my life’ were identified. The meaning domains of the chief complaint encompass ‘a warm gaze towards oneself not meeting expectations’, ‘A Sense of control experineced through self-expression’.
Conclusions In the early stages of counseling, the experience of concretizing the chief complaint allows the counselee to understand the triggering factors and psychological mechanisms underlying their presenting symptoms. Recognizing and regulating maladaptive patterns that recur in everyday life is an important factor. This contributes to establishing educational foundations for enhancing the counselor's professional competence.
The mediating effect of positive psychological capital on the effect of school organizational culture perceived by teachers on school organizational effectiveness and organizational justice
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Mi-so , Kim Nam-yong
Published: October 2024

Objectives The purpose of this study is to verify the mediating effect of positive psychological capital in the process of school organizational culture perceived by teachers affecting school organizational effectiveness and school organizational justice in order to improve the competitiveness of school organizations.
Methods For this purpose, a total of 502 teachers in elementary, middle, and high schools in Seoul and Gyeongin area were surveyed except for those who did not respond well, and statistical analysis was conducted using SPSS 25.0. After conducting descriptive statistical analysis on the demographic characteristics of the subjects, Baron & Kenny's three-step hierarchical regression analysis was conducted to examine the effects of school organizational culture on school organizational justice and school organizational effectiveness and to examine the mediating effects of positive psychological capital in these relationships.Sobel test was conducted to verify the significance of the mediating effect.
Results First, it was found that school organizational culture has a significant positive correlation with school organizational effectiveness and organizational justice. Second, school organizational culture, school organizational effectiveness, school organizational justice, and positive psychological capital had a significant positive effect.Third, positive psychological capital was found to play a partial mediating role in the relationship between school organizational culture, school organizational effectiveness, and school organizational justice.
Conclusions Therefore, in order to further grow the school organization, it is necessary to expand the training to understand the differences between the generations, to form mutually cooperative organizational culture, and to improve the positive psychological capital of teachers in order to improve school organizational effectiveness and organizational justice. In order to overcome the difficulties and difficulties of teachers due to heavy work and stress and to improve positive psychological capital for teaching profession, it was confirmed that it is especially important to raise self - efficacy.In the future, it is meaningful that it will have a positive effect on school organizational effectiveness and school organizational justice if a positive school organizational culture is created through systematic support, communication, and cooperation for teachers and a fair school organizational culture in which teachers can lead their own positive psychological capital with self-esteem.