bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Social and Organizational Support's Role: The Effect of Work-Family Conflict on Work Stress
Authors: Rumijati Aniek , Arifiani Ratya Shafira
Published: March 2024

AbstractThis study aimed to analyze the effect of work-family conflict on work stress and the moderating role of social support and perceived organizational support in the effect of work-family conflict on work stress. The type of this research is explanatory research. Data collection techniques used were questionnaires and variable measurement techniques based on a Likert scale. The population in this study were all female nurses in Malang City. The sampling technique used is non-probability sampling using purposive sampling, with the criteria of female nurses who are married. Data were analyzed using inferential statistics and a moderation test using Smart PLS. The results of the study revealed that work-family conflict had a significant effect on work stress; social support moderated the effect of work-family conflict on work stress; Perceived organizational support had a moderating role in the effect of work-family conflict on work stress. Keywords:Work-Family Conflict; Work stress; Social Support; Perceived Organizational Support
A Combined Power and Ejector Refrigeration Cycle System for Thermal Energy Recovery from the Waste Heat of Internal Combustion Engine
Authors: Goudarzi Koorosh , Taghizadeh AliReza
Published: March 2024

In this paper, due to the importance of energy recovery from internal combustion engines and the increasing human growing need for power and refrigeration, a two-cycle power and refrigeration system consisting of an organic Rankine cycle and an ejector refrigeration cycle is investigated analytically. The proposed system with the ability to use the ejector as an effective and economical system, can produce simultaneous power and refrigeration by drawing thermal energy from the exhaust gas and engine coolant in the form of a novel cycle. This study analyzes the proposed novel two-cycle Rankine-ejector refrigeration system (TCReRS) compared to a two-cycle Rankine-absorption refrigeration system (TCRARS). It was concluded that the TCReRS with higher output and a COP of about 69.99%, is a useful and promising system under the considered condition. The proposed system uses environmentally friendly R1233zd and R32 fluids as operating fluids in Rankine power and ejector refrigeration cycles, respectively. In addition, the effect of system performance parameters has been investigated and optimized.
Estructura y diversidad genética en cerdos San Pedreños del banco de germoplasma evaluada por análisis de pedigree
Authors: Ocampo Gallego Ricardo , Hernández Ortiz Byron A , Tobón Castaño Jaime A
Published: March 2024

Colombia cuenta con tres razas porcinas criollas: Casco de Mula, San Pedreño y Zungo, las cuales se encuentran adaptadas a diferentes regiones del país. En el Centro de Investigación El Nus de Corpoica se encuentra el banco de germoplasma, cuyo propósito es conservar la raza San Pedreño, la cual se encuentra en peligro de extinción dada su reducida población. Sin embargo, al tratarse de un núcleo cerrado hay riesgo de pérdida de la variabilidad genética y el consecuente aumento de la homocigosis puede resultar en una disminución del desempeño productivo y reproductivo de los animales consanguíneos
Development and Validation of an Interpretable Conformal Predictor to Predict Sepsis Mortality Risk: Retrospective Cohort Study
Authors: Yang Meicheng , Chen Hui , Hu Wenhan , Mischi Massimo , Shan Caifeng , Li Jianqing , Long Xi , Liu Chengyu
Published: March 2024

Background

Early and reliable identification of patients with sepsis who are at high risk of mortality is important to improve clinical outcomes. However, 3 major barriers to artificial intelligence (AI) models, including the lack of interpretability, the difficulty in generalizability, and the risk of automation bias, hinder the widespread adoption of AI models for use in clinical practice.

Objective

This study aimed to develop and validate (internally and externally) a conformal predictor of sepsis mortality risk in patients who are critically ill, leveraging AI-assisted prediction modeling. The proposed approach enables explaining the model output and assessing its confidence level.

Methods

We retrospectively extracted data on adult patients with sepsis from a database collected in a teaching hospital at Beth Israel Deaconess Medical Center for model training and internal validation. A large multicenter critical care database from the Philips eICU Research Institute was used for external validation. A total of 103 clinical features were extracted from the first day after admission. We developed an AI model using gradient-boosting machines to predict the mortality risk of sepsis and used Mondrian conformal prediction to estimate the prediction uncertainty. The Shapley additive explanation method was used to explain the model.

Results

A total of 16,746 (80%) patients from Beth Israel Deaconess Medical Center were used to train the model. When tested on the internal validation population of 4187 (20%) patients, the model achieved an area under the receiver operating characteristic curve of 0.858 (95% CI 0.845-0.871), which was reduced to 0.800 (95% CI 0.789-0.811) when externally validated on 10,362 patients from the Philips eICU database. At a specified confidence level of 90% for the internal validation cohort the percentage of error predictions (n=438) out of all predictions (n=4187) was 10.5%, with 1229 (29.4%) predictions requiring clinician review. In contrast, the AI model without conformal prediction made 1449 (34.6%) errors. When externally validated, more predictions (n=4004, 38.6%) were flagged for clinician review due to interdatabase heterogeneity. Nevertheless, the model still produced significantly lower error rates compared to the point predictions by AI (n=1221, 11.8% vs n=4540, 43.8%). The most important predictors identified in this predictive model were Acute Physiology Score III, age, urine output, vasopressors, and pulmonary infection. Clinically relevant risk factors contributing to a single patient were also examined to show how the risk arose.

Conclusions

By combining model explanation and conformal prediction, AI-based systems can be better translated into medical practice for clinical decision-making.
Implementation Documentation and Process Assessment of the PharmNet Intervention: Observational Report
Authors: Eldridge Lori Ann , Meyerson Beth E , Agley Jon
Published: March 2024

Background

The number of overdose deaths in the United States involving opioids continues to exceed 100,000 per year. This has precipitated ongoing declarations of a public health emergency. Harm reduction approaches, such as promoting awareness of, ensuring access to, and fostering willingness to use naloxone to reverse opioid overdose, are a key component of a larger national strategy to address the crisis. In addition, overdose reversal with naloxone directly and immediately saves lives. Because of pharmacies’ ubiquity and pharmacists’ extensive clinical training, community pharmacies are well-positioned, in principle, to facilitate naloxone access and education.

Objective

In 2022, a single-site pilot study of PharmNet, a community pharmacy intervention incorporating naloxone distribution, awareness building, and referral, showed promising outcomes for both naloxone and resource distribution in the community. As a next step, this study was intended to be a pilot randomized controlled trial of PharmNet in 7 pharmacies. However, due to circumstances outside of the study team’s control, data collection was unable to be fully completed as planned. In keeping with open research standards, we transparently report all available data from the study and discuss trial barriers and processes. We do so both to provide insights that may inform similar studies and to avoid the “file-drawer” (publication bias) problem, which can skew the aggregated scholarly literature through nonpublication of registered trial results or selective publication of findings affirming authors’ hypotheses.

Methods

This paper reports an in-depth implementation study assessment, provides the available observational data, and discusses implementation considerations for similar studies in independent (eg, nonchain) community pharmacies.

Results

Retrospective assessment of study outcomes and fidelity data provided for robust discussion around how resource differences in independent community pharmacies (vs well-resourced chain pharmacies), as well as high demands on staff, can affect intervention implementation, even when leadership is highly supportive.

Conclusions

Community pharmacies, particularly independent community pharmacies, may require more support than anticipated to be successful when implementing a new intervention into practice, even if it might affect estimates of real-world effectiveness. Further implementation science research is needed specific to independent community pharmacies. All study elements are outlined in the International Registered Report Identifier (IRRID) PRR1-10.2196/42373. Although this paper reports results associated with that registration, results and conclusions should not be given the weight assigned to findings from a preregistered study.

International Registered Report Identifier (IRRID)

RR2-10.2196/42373
Characteristics of Occupational Therapy Interventions to Promote Healthy Aging: Protocol for a Scoping Review
Authors: Bannigan Katrina , Larkan Nicole Jade , Meurgue Emmanuelle Renee Rogelia , Sze Jason Chun Hin
Published: March 2024

Background

Healthy aging is a pressing public health priority. Focusing on what people do every day may be a meaningful approach to lifestyle change, suggesting a need for occupation therapy interventions to promote healthy aging. A preliminary database search was conducted, and no current or underway systematic or scoping reviews on the topic were identified. Developing an overview of studies of occupational therapy interventions to promote healthy aging is a necessary first step to understanding the existing knowledge and increasing the impact of future interventions. This scoping review will build on previously conducted reviews.

Objective

This scoping review will identify the following: (1) what occupational therapy interventions exist for promoting healthy aging in community-dwelling adults? and (2) what are the intervention characteristics, their evaluated outcome, and the impact observed?

Methods

This protocol was reviewed by 2 occupational therapists as part of a patient and public involvement consultation. The review will consider all studies and publications of occupational therapy focused on promoting healthy aging in community-dwelling adults who are aged 18 years and older. Databases to be searched are AMED, CINAHL, Cochrane Library, Embase, JBI EBP database, MEDLINE, OAlster, PsycINFO, PsycArticles, ProQuest Dissertations & Theses, ProQuest nursing and allied health source, PubMed, and Science Direct. Studies published in any language will be included. Titles and abstracts will be screened against the inclusion criteria using Covidence (Veritas Health Innovation). Potentially relevant studies will be retrieved in full and assessed against the inclusion criteria. No date limiters will be used. Study selection will be completed by 2 independent reviewers. Data will be extracted using a data extraction tool, including descriptive characteristics of the participants including age, sex, and socioeconomic status. Data will be charted using the TIDieR (Template for Intervention Description and Replication) checklist in alignment with the review objectives. The scoping review will be reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) statement.

Results

The research began in October 2023, and the results are expected to be published in 2024.

Conclusions

This scoping review will produce valuable information about occupation-based interventions to promote healthy aging to support the development of an occupational therapy intervention.

Trial Registration

Open Science Framework 5k36d; https://osf.io/5k36d/

International Registered Report Identifier (IRRID)

DERR1-10.2196/55198
The Impact of Fiber Density and Layering in NFRP on Confined Concrete Compressive Strength
Authors: Amalia Zahra , Saidi Taufiq , Hasan Muttaqin , Al-Bakri Nazira Suha , Fu Li
Published: March 2024

Strengthening columns holds a crucial role in structural engineering and is frequently called for due to a range of factors, including heightened load requirements, structural degradation, design flaws, or the need for seismic retrofitting. Natural Fiber-Reinforced Polymers (NFRP) in concrete reinforcement has gained significant attention in recent years as a sustainable and eco-friendly alternative to strengthened reinforced concrete. NFRP jacketing presents an adaptable option, as it delivers an improved load-carrying capability as a confining effect. This paper explores the fundamental reasons behind the need for column strengthening and the advantages of employing NFRP jacketing as a preferred method. The study examined the influence of varying fiber densities and the number of fiber layers in NFRP on the mechanical properties of concrete, with a specific focus on its confined concrete compressive strength. The test specimen was a cylinder with a diameter of 150mm and a height of 300mm. NFRP, made from abaca fiber and resin, was attached around the specimen’s circumference to provide a confinement effect. Axial load was applied to the test specimen. The findings indicated that introducing abaca fiber as an NFRP material increased confined concrete compressive strength by up to 37% compared to unconfined concrete. Moreover, the application of three layers of NFRP fibers results in a 15% rise in confined concrete stress, especially when higher-density fiber types are utilized. Study findings suggest that natural fiber density and the number of layers play a role in enhancing concrete strength, however, their influence may not be significantly pronounced.
HealthGuard: Real-Time Health Monitoring and Emergency Alert System
Authors: Bheemala Alekhya
Published: March 2024

Abstract: In today's fast-paced world, the need for continuous health monitoring and rapid response to emergent medical situations is paramount. "HealthGuard" is a cutting-edge real-time health monitoring and emergency alert system designed to address this critical need. Leveraging the power of IoT sensors and advanced data analytics, HealthGuard offers a comprehensive solution for tracking and responding to individual's health conditions, ensuring timely intervention when necessary.
Fraud and Malware Detection of Apps in Google Play
Authors: R Arun Kumar
Published: March 2024

Abstract: Fraudulent Behaviors in Google Play, the Most Popular Android App Market, Fuel Search Rank Abuse and Malware Proliferation. To Identify Malware, Previous Work Has Focused on App Executable and Permission Analysis. In This Paper, We Introduce FairPlay, a Novel System That Discovers and Leverages Traces Left Behind by Fraudsters, to Detect Both Malware and Apps Subjected to Search Rank Fraud. FairPlay Correlates Review Activities and Uniquely Combines Detected Review Relations with Linguistic and Behavioral Signals Gleaned from Google Play App Data (87K Apps, 2.9M Reviews, and 2.4M Reviewers, Collected Over Half a Year), in Order to Identify Suspicious Apps. FairPlay Achieves Over 95% Accuracy in Classifying Gold Standard Datasets of Malware, Fraudulent and Legitimate Apps. We Show That 75% of the Identified Malware Apps Engage in Search Rank Fraud. FairPlay Discovers Hundreds of Fraudulent Apps That Currently Evade Google Bouncer’s Detection Technology. FairPlay Also Helped the Discovery of More Than 1,000 Reviews, Reported for 193 Apps, That Reveal a New Type of “Coercive” Review Campaign: Users Are Harassed into Writing Positive Reviews, and Install and Review Other Apps
Topological Insulators: Novel Phases of Matter with Unique Electronic Properties
Authors: Tiwari Anil
Published: March 2024

Abstract: Topological insulators represent a fascinating class of materials that have garnered significant attention in the field of condensed matter physics. These unique materials exhibit insulating behavior in their bulk, while simultaneously possessing conducting surface or edge states that are topologically protected against backscattering and immune to certain types of disorder. This intriguing combination of properties arises from the intricate interplay between topology, the geometrical properties of quantum wavefunctions, and the electronic band structure of the material. Topological insulators hold immense potential for revolutionizing various fields, including electronics, spintronics, quantum computing, and energy-efficient devices. This paper provides a comprehensive exploration of topological insulators, delving into their theoretical foundations, material realizations, experimental observations, and potential applications. By bridging the gap between theoretical concepts and experimental discoveries, this work aims to shed light on the remarkable properties of these novel phases of matter and their implications for future technological advancements.
Crop Recommendation and Monitoring using AI
Authors: Nallamala Sri Hari , Majeti Dhanalakshmi Meghana , Pendyala Venkata Pranay , Neela Sanghamitra , Nambari Bhanu Prakash
Published: March 2024

Abstract: Agriculture is crucial for India's economy, with over 50% relying on it for survival. Climate and weather variations pose risks to agriculture's health. AI can monitor crops by using machine learning methods. Crop monitoring includes Crop Recommendation, Weed Detection, Plant Disease Detection, Yield Prediction. The models are trained with Image and numerical datasets. A website will be developed to monitor crops and provide solutions. The optimal crop can be suggested based on the surrounding conditions by analysing important variables like composition of Nitrogen, Phosphorous and Potassium in the soil, its pH value, humidity, and rainfall using various models namely Gaussian Naive Bayes, Logistic Regression, Gradient boosting, Ensemble which fall under the domain of Machine Learning. ANN can be used for crop yield prediction. Weed and Plant disease can be detected using ResNet which can be utilized for deep neural networks. The intent of this project is to help farmers choose suitable crops, differentiate crops from weeds, detect diseases, provide remedies to protect crop. It enables to improve yield and productivity, Enhanced sustainability, Increased Profitability
Optimized Perturb and Observe Techniques for Sudden Irradiance and Temperature Change
Authors: Kudakunti Prof. Savita S , N Dr. Vijay Kumar C
Published: March 2024

Abstract: Solar Power generation plays vital role in RES due to its natural abundance and environment friendly. The efficiency of the PV System depends on the more optimized MPPT Technique. Several methods for extracting GMPP are discussed that works better on steady state oscillations and fast tracking time. In this paper all recent techniques for MPPT are discussed and more efficient algorithm and simple in approach is revealed. This paper tries to find more efficient algorithm with fast tracking speed and optimized duty cycle.
Revolutionizing Language Teaching: Integrating Modern Pedagogical Technologies into Education Systems
Authors: Shadiyeva Dilfuza
Published: March 2024

Abstract: The integration of contemporary pedagogical technology into language instruction within the educational system is examined in this research article. The study looks at the advantages and difficulties of using technology in language learning, assesses how pedagogical technology use is evolving, and investigates how these developments affect language learning results. This paper offers insights into the efficacy of contemporary educational methods in boosting language acquisition and establishing a more dynamic and engaging learning environment through an extensive literature study and empirical research
Exploration of the Path Model between Career Barriers and Employment Preparation Behaviors: On University Students majoring in Music in Hebei Province of China
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Xie Qun , Ko Young Chun
Published: March 2024

Objectives This study is to explore the path model between career barriers and employment preparation behaviors of university students majoring in music in Hebei Province of China. parameters.
Methods The subjects of the study are 317 university students majoring in music. The program of SPSS 25 is used for reliability, correlation, and confirmatory factor analysis, but LISREL 8.53 is used to verify the path model using the correlation between career barriers and employment preparation behaviors.
Results In the path model finally adopted between career barriers and employment preparation behaviors for college students majoring in music, social ability barriers and home environment barriers reached the internal and external preparatory behavior, which is the employment preparatory behaviors, through major level barriers and occupational knowledge barriers. In this model, internal preparation behaviors acted as a preceding variable that had a positive effect on external preparation behaviors. Among the barriers of social ability, home environment, relative attitude, major level, and occupational knowledge, it is confirmed that the barriers of social ability and home environment act as predictors of fundamental education on employment preparation behaviors. However, it is confirmed that relative attitude barriers have no effect on employment preparation behaviors. The most influential factor of major level barriers is social ability barriers, followed by home environment barriers. The most influential factors on occupational knowledge barriers are major level barriers, and in the next order, the home environment barriers and social ability barriers are indicated.
Conclusions In order to increase employment preparation behaviors for university students majoring in music at C University in Hebei Province, the education of internal preparation behaviors should be increased rather than that of external preparatoion behaviors. In order to increase employment preparation behaviors, the preparation behaviors will be increased only by education removing occupational knowledge barriers affected by social ability barriers, home environment barriers, and major level barriers. In addition, educational efforts are required to eliminate social ability barriers and home environment barriers by forming a work-related community and reducing the gap between the rich and the poor of each student in order to increase employment preparation behavior for university students majoring in music.
Comparing the 2015 with the 2022 Revised Secondary Schools Technology Curriculum Achievement Standards Based on Network Analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Baek Rayeol , Kim Jimin
Published: March 2024

Objectives This study attempted to analyze the overall differences and characteristics of each content area of technology in each curriculum by using language network analysis, focusing on the description of achievement standards in the 2015 and 2022 revised secondary school technology curriculum.
Methods The targets of this study are 43 achievement standards for the 2015 revised curriculum (27 middle schools and 16 high schools) and 41 achievement standards for the 2022 revised curriculum (26 middle schools and 15 high schools). In the 'Expiration and Classification of Achievement Criteria' stage of the analysis procedure, the achievement criteria were extracted and classified into each content area of the technology, and in the 'Pre-processing process', the text of the achievement criteria was analyzed and tokenized through KoNLPy. Later, in the “Language Network Creation” stage, nodes and links were constructed and networks were visualized using Networkx, and in the “Language Network Analysis” stage, the curriculum was compared and analyzed through achievement standard frequency, centrality index, and community detection.
Results First, as a result of analyzing the frequency of achievement standards for each content area, both middle and high schools decreased in the common engineering technology area, and both middle and high schools increased in the manufacturing technology area. Second, as a result of language network size analysis, the size of both the main words and links of the achievement standards in both middle and high schools increased. Third, as a result of the analysis of the network centrality index, the proportion of key words corresponding to “knowledge and understanding” decreased, and the proportion of key words corresponding to “process and function” and “value and attitude” increased. Fourth, as a result of network cluster analysis, in the case of the 2015 revised curriculum, most of the keywords 'technology' and 'understanding' were located at the center of the cluster, but the 2022 revised curriculum was not focused on specific keywords, but various terms such as 'problem', 'solution', 'recognition', 'investigation', 'design', 'production', and 'evaluation' were at the center of the cluster together.
Conclusions First, thorough preparation and curriculum restructuring are required in the design of teaching-learning activities in the school field according to changes in the content of the curriculum achievement standards. Second, in addition to “knowledge and understanding,” teaching-learning activities are needed to evenly cultivate core competencies for each subject related to “process and function” and “value and attitude” in the operation of the future curriculum. Third, according to the curriculum revision, educational activities are needed to cultivate more diverse sub-elements of technical literacy based on technical problem solving.
Factors Influencing Health Promotion Behaviors in Women with Climacteric Phase: An Exploration of Menopausal Symptoms, Self-Efficacy, Aging Anxiety, and Self-Acceptance
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kang Jungmi , Kim Miok
Published: March 2024

Objectives The purpose of this study is to identify menopausal symptoms, self-efficacy, aging anxiety, self-acceptance, and health promotion behavior in menopausal women and to identify factors that affect health promotion behavior.
Methods Data was collected from May 20 to July 20, 2023 through a self-written survey of 125 women aged 45-56 enrolled in educational programs operated by three community autonomy centers in Chungcheongnam-do. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression analysis using the SPSS 29.0/SAS 9.4 statistical program.
Results Health promotion behavior had significant negative correlation with aging anxiety (r=-.287, p=.001). Health promotion behavior also had significant positive correlation with self-acceptance (r=.192, p=.032) and self-efficacy (r=.415, p<.001). As a result of multiple regression analysis, the factors that significantly influence health promotion behavior are self-efficacy (β=.374, p<.001), occupation (β=.209, p=.010), aging anxiety (β =-.237, p=.020) was significant, and the explanatory power was 26% (F=8.14, p<.001).
Conclusions There is a need for a health promotion behavior improvement program that helps individual menopausal women promote high self-efficacy and relieve anxiety about aging by fully recognizing and exploring their health.
Analysis of the difference and relationship between mathematical problem-solving ability and smartphone addiction according to children's coding play experience
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Pu Sung-Sook
Published: March 2024

Objectives The purpose of this study was to examine the difference between mathematical problem-solving ability and smartphone addiction according to the experience of coding play in 5-year-old children, and the relationship between mathematical problem-solving ability and smartphone addiction.
Methods To achieve the objectives of this study, 135 5-year-old children enrolled in early childhood education institution located in Gyeonggi Province were selected as research subjects. Data were collected through interviews with the children and questionnaires administered to their parents. Descriptive statistics, t-tests, and correlation analyses were conducted using the SPSS WIN 24.0 program to analyze the collected data.
Results First, it was found that children with coding play experiences demonstrated higher mathematical problem- solving abilities than those without such experiences. Additionally, children with coding play experiences showed higher abilities in number and operation, algebra, and measurement. Smartphone addiction was also higher in children with coding play experiences, and they exhibited higher severity and resistance to smartphone addiction. Second, as the mathematical problem-solving abilities of children with coding play experiences increased, smartphone addiction decreased, and impulsive-compulsive use of smartphones was lower. Moreover, among the subfactors of mathematical problem-solving abilities, higher geometric and statistical abilities were associated with lower severity of smartphone addiction, withdrawal symptoms, daily life issues, and interpersonal conflicts. In contrast, there was no significant correlation between mathematical problem-solving abilities and smartphone addiction in children without coding play experiences.
Conclusions The study suggests that early experiences with coding play can contribute to the development of mathematical problem-solving skills in 5-year-old children. However, it also indicates a potential risk of smartphone addiction. Nevertheless, the study demonstrates that higher mathematical problem-solving abilities in children with coding play experiences are associated with a lower risk of smartphone addiction. This highlights the importance of mathematical problem-solving skills, which can reduce the risk of early childhood smartphone addiction while enhancing the educational effects of coding play.
An Analysis of Korean Language Teachers’ Perception on Students With Writing Difficulties
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Kyounghee , Park Youngmin
Published: March 2024

Purpose This study aims to explore improvement in teaching and learning of writing by analysing Korean language teachers’ perception on students with writing difficulties.
Method For the study, individual in-depth interviews were conducted with 10 Korean language teachers evenly balanced in terms of gender, teaching experience, region, and school level. The interview consisted of 20 questions organized into five sections: perception of writing, writing class, students with writing difficulties and writing underachievement, the most challenging stage and type of writing, and writing instruction and information channel for writing instruction.
Result The results of the study are as follows. First, teachers’ perception shows that writing class is taught less than classes in other areas. Especially, high school teachers believe that actual writing activities are rarely carried out. Second, in terms of affective aspects, students with writing difficulties are seen to have low motivation, interest, and confidence in writing along with a fear of expressing their own ideas. Third, they are also perceived to lack awareness of the writing process and face difficulties, especially in the stages before expression. Fourth, there is a need for the improvement in the diagnosis of writing underachievement, the development of instructional programs, and the establishment of teacher training and learning programs to address issues related to writing underachievement.
Conclusion The perception of Korean language teachers reveals that students with writing difficulties manifest diverse causes and characteristics. Nevertheless, proper educational instructions are not provided due to various environmental factors associated with writing classes. To meet the needs of Korean language teachers, there is a requirement to develop diagnostic programs and teacher learning programs for addressing writing underachievement, and to improve the educational environment for writing classes.
The effect of classes applying math and storytelling on a high school student's math academic achievement, class interest, and math-related attitudes
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, An Jong Su
Published: March 2024

Objectives In this study, we would like to verify how storytelling classes affect learners' math academic achievement, class interest, and math-related attitudes for first year high school students through experiments.
Methods 64 students in two classes in the first grade of 00 High School were analyzed as research subjects. Two classes were selected as midterm test scores for the first semester of the first grade. Class 1 was divided into an experimental group and the other class 1 was divided into a comparative group. From April 15 to July 11, 2021, 13 classes were held for about 2 months. The experimental group (32 students) was taught by applying mathematics and storytelling, and the comparative group (32) was taught by explaining based on traditional textbooks.
Results Through this study, the following results were obtained. First, in this study, learning contents for each unit of mathematics were set and activity papers were used to apply mathematics and storytelling. By applying this to the class, it was possible to increase math academic achievement, class interest, and math-related attitudes. Second, math academic achievement, class interest, and math-related attitudes were more effective for students in the upper, middle, and lower classes using mathematics and storytelling compared to narrative-oriented classes based on traditional textbooks. Third, in classes using mathematics and storytelling applications, lower- ranked students were also interested in lower-ranked students neglecting general math classes, and the lower- ranked students actively participated to improve their math academic achievement.
Conclusions In conclusion, the experimental group's classes using mathematics and storytelling were more effective in math academic achievement, class interest, and math-related attitudes than the comparative group.
Analysis on Elementary Pre-service Teachers’ Behavioral Intention to Use about AI Digital Textbooks
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Na Hyejin , Suh Soonshik , Yang Heewon
Published: March 2024

Objectives Ministry of Education is promoting the development and introduction of AI digital textbooks as one of its measures for digital-based educational innovation. Changes in teachers' behavior are crucial for educational innovation, and the success or failure of policies will be influenced by pre-service teachers' perception of AI digital textbooks. The purpose of this study is to analyze the pre-service teachers' intention to use of AI digital textbooks and identify the factors that affect their acceptance of this innovation, in order to determine how to increase the actual cceptance among pre-service teachers.
Methods Based on the Extension of the Technology Acceptance Model, hypothesis model of the study was proposed by adding variables such as subjective norms, compatibility, and innovativeness. To verify the hypothesis model, an online survey was conducted on 189 pre-service teachers to investigate their intention of use and perception of AI digital textbooks, and multiple regression analysis was conducted based on the survey results.
Results The regression model, which examines the relationship between perceived usefulness and perceived ease of use, compatibility, subjective norm, and intention to use, was found to explain 63.3% of the variance in intention to use. Perceived usefulness, compatibility, and subjective norm demonstrated a statistically significant influence on the intention to use. Contrarily, no significant effect of perceived ease of use and innovation on the intention to use was found.
Conclusions The conclusion of this study is as follows. First, rather than emphasizing the convenience of AI digital textbooks, promoting awareness of their usefulness for improving teaching and learning can contribute to the wider adoption of AI digital textbooks. Second, given the impact of social relations on pre-service teachers, it is imperative to provide support to enable teachers to engage in discussions about AI digital textbooks and their integration into teaching and learning plans. Third, promoting the use of AI digital textbooks to teachers can be achieved by effectively conveying the necessity and value of personalized education to be realized through them.
The impact of EBS high school lectures on mitigating shadow education expenditures and influencing factors
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Hyunchul , Park Hyerang
Published: March 2024

Objectives The purpose of this study is to estimate the effect of EBS high school lectures on reducing shadow education expenses of high school students and identify factors influencing the effectiveness.
Methods The analysis utilized survey results from 1,320 students and 1,000 parents, which were obtained through stratified sampling. The Chi-square test method was employed to analyze the causes of differences in the reduction effect based on demographic characteristics.
Results First, the estimated average monthly shadow education expenses per student in South Korean high schools in 2022 were 556,467 KRW. The reduction effect of monthly shadow education expenses per student due to EBS high school lectures was estimated to be 67,432 KRW. The estimated reduction in shadow education expenses attributable to EBS high school lectures accounted for 12.15% of the overall shadow education expenses for high school students. Second, while the impact of EBS high school lectures on the participation in shadow education was not significant, it was found to have a considerable influence on the scale of shadow education expenses. Third, the reduction effect was smaller in groups with higher shadow education expenses and larger in groups with lower supplementary education expenses.
Conclusions EBS high school lectures not only contribute to reducing shadow education expenses but also appear to play a role in addressing educational opportunity disparities. To enhance the reduction effect of EBS high school lectures on shadow education expenses, the differentiated lectures and expanded materials targeting both high-performing and low-performing students is suggested.
The Impact of Pre-Service Early Childhood Educators' Digital Literacy and Techno-stress on Digital Citizenship
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Chun Heeykung , Yang Yujin
Published: March 2024

Objectives The purpose of this study is to examine the relationship and influence of pre-service early childhood educators' level of digital literacy, techno-stress, and digital citizenship.
Methods To achieve the objectives of this study, a survey was conducted with 283 pre-service early childhood educators in Gyeonggi, Gangwon, and Chungcheong regions. Out of the collected surveys, 271 were deemed suitable for the study. The collected survey data was analyzed using correlation analysis and hierarchical multiple regression analysis with the SPSS 21.0 program.
Results The results of the study are as follows. The digital citizenship of pre-service early childhood educators showed a positive correlation with both their level of digital literacy and techno-stress. Secondly, the level of digital literacy and techno-stress of pre-service early childhood educators were found to influence digital citizenship.
Conclusions This study provides foundational data to support pre-service early childhood educators in developing competencies necessary for the digital age.
A Critical Approach to Environmental Education in Higher Education: A South Korean Case
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Nary Chung
Published: March 2024

Objectives This study critically examines the challenges of environmental education in higher education in order to discuss future directions of the environmental education system and strengthen its theoretical and practical basis.
Methods By focusing on a case study of a liberal arts course, ‘Climate Change and the Anthropocene’, the learning process is analyzed following the progression of the curriculum. The students' environmental awareness and the potentiality of environmental action are observed.
Results As a result of the study, the students strengthened their pre-existing awareness of the socioeconomic mechanism that structures climate change and reflected on their environmental behavior by connecting it to their daily lives. Regarding specific issues, they had various positions within a broad spectrum, showing the potential to continue with their own concerns and challenges as well as a tendency to conform to the norm, avoid exploring fundamental changes, and sustain the status quo.
Conclusions The need to focus on theoretical and methodological discussions on how environmental education in higher education as well as primary and secondary education systems can be more coherent and efficient is emphasized.
The Effect of Self-Compassion Writing on Self-Regulation for College Students with Tendency of Academic Procrastination
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jo Moon Joo , Lee Ara
Published: March 2024

Objectives The purpose of this study was to find out the way to effectively intervene plan to improve the behavior of academic procrastination among college students by examining how self-compassion writing affects the self-regulation of college students with tendency academic procrastination.
Methods It was intended to conduct an experiment on 48 college students based in gyeongnam by dividing them into self-compassion writing, expressive writing, and distractive writing groups to confirm the effect of treatment on emotional changes and self-regulation.
Results When college students checked the emotional changes they experienced immediately after recalling the academic procrastination situation and after performing writing treatment in terms of pleasure, arousal, and dominance, there was no significant difference in pleasure and dominance between the writing groups, but the self-compassion writing group was significantly higher in arousal. There was no significant difference between groups in the MSLQ(Motivated Strategies for Learning Questionnaire) score after each writing treatment. On the other hand, it was found that the duration of the task to confirm the effect of self-regulated treatment was significantly longer in the self-compassion writing treatment group than in the other two groups.
Conclusions After treatment, expressive writing, distraction writing, and self-compassion writing all temporarily increased positive emotions, and self-compassion therapy seems to help them recognize their emotions more clearly by increasing their arousal compared to other writing methods. In addition, self-compassion writing had a positive effect on significantly increasing the level of self-regulation performance compared to other writing. These results confirmed the specific intervention effect of self-compassion writing in academic procrastination behavior.
Development of art activities contents based on video media to promote the creativity for children
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Choi Ji-woo , Park Yun-mi
Published: March 2024

Objectives The purpose of this study is to prove its suitability and effectiveness by developing contents for children that perform actual activities such as art activities along with video viewing.
Methods For this, based on the narrative-based, case-based, and problem-based learning elements of contextual learning, a creative fairy tale, “The Postman Bobo”, was produced as a video. In addition, the contents were completed by designing an art activities program to be conducted after watching the video focusing on promoting creativity. After that, six children aged 8 to 10 at a child care institution in D area located in Gyeonggi-do were simulated for the application of the content in the field.
Results First, the application of video media was effective in understanding the content and inducing voluntary participation before conducting the art activities program. Second, prior to conducting the art activities program, stories or elements that appeared in the video had a positive effect on leading to the art activities program, which had a significant effect on the connection between content and context learning. Third, the video media-based art activities contents was effective in that it was an activity that could have a positive effect on the creativity of children.
Conclusions This study is meaningful in that it revealed that video media-based art activities program through linkage with context learning are effective in enhancing the creativity of children.
Analysis of practical and popular music as contemporary music: Focusing on elementary school music textbooks
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kang Stella
Published: March 2024

Objectives The need for an accurate understanding of the concepts of contemporary music, practical music, and popular music, and the recognition of the necessity for changes in music education based on individual music tastes and preferences, are affirmed. This aims to advocate for a reassessment of music textbooks, particularly in elementary music education, through a quantitative evaluation of practical and popular music content. Furthermore, the proposal emphasizes the necessity for changes in music textbooks through individual assessments of multi-frequent songs.
Methods Analyze the popular music area included in elementary school music textbooks. We analyzed the songs included in 32 textbooks from 8 different publishers, established the multi-frequent songs, and looked into the characteristics and contents of each song. The need for changes to the songs included in textbooks is confirmed through individual evaluation of the distribution of songs included in music textbooks and the multi-frequent songs.
Results First, animation music accounts for 26.4% and movie music 25.8%, which accounts for more than 50%. Second, there are 121 foreign songs and 61 domestic songs, with POP (13.2%) followed by K-POP (9.9%), and there are many POP in the singing field. Third, there are differences between textbooks, Fourth, the content related to the music industry is insufficient, and it is included in 5 textbooks (out of 32), and Fifth, there are problems with the content and release period of multi-frequent songs. Lastly, since multi-frequent songs are repeatedly included in middle and high school textbooks, a feasibility study on this aspect is also necessary.
Conclusions There is a need to realistically reflect the songs included in textbooks, and for this, it is necessary to reexamine the songs included in textbooks. There is a need for a change in perception of popular music education due to scientific development, and a practical approach to the methods and content needed for future popular music education is needed.