While modern tourists rely heavily on social media content, extant literature does not clarify what kind of travel experiences activate sharing behavior on social media. In the context of cultural heritage tourism, this study aims to examine the structural relationships among authenticity (i.e. objective, constructive, and existential), nostalgia (i.e. personal and historical), and travel experience sharing behavior on social media. For this, the data obtained based on 442 responses from domestic heritage tourists in South Korea were analyzed using structural equation modeling. The results indicated the significant roles of existential authenticity and personal nostalgia in predicting heritage tourists’ sharing behavior.

Earthquake activities in and around the Korean Peninsula are relatively low in number and intensity compared with neighboring countries such as Japan and China. However, recent seismic activity caused great alarm and concern among citizens and government authorities, and uncovered the level of preparedness toward earthquake disasters. A survey has been conducted on 1256 participants to investigate the seismic literacy of Korean citizens, including seismic knowledge, awareness and management using a questionnaire of citizen earthquake literacy (CEL). The results declared that the citizens had low awareness and literacy, which means that they are not properly prepared for earthquake hazards. To develop an earthquake risk reduction plan and program efficiently and effectively, not only must it appropriately characterize the target audience, but also indicate high potential earthquake zones and potential earthquake damage. Therefore, this study mapped and analyzed the seismic vulnerability in southeast Korea using LogitBoost, logistic model tree (LMT), and logistic regression (LR) machine learning algorithms based on a building damage inventory map. The damaged buildings’ locations were generated after the 2017 Pohang earthquake using the damage proxy map (DPM) method from the Sentinel-1 synthetic aperture radar (SAR) data. DPMs detected coherence loss, which indicates damaged buildings in urban areas in the Pohang earthquake and shows a good correlation with the Korea Meteorological Administration (KMA) report with modified Mercalli intensity (MMI) scale values of more than VII (seven). The damage locations were randomly divided into two datasets: 50% for training the vulnerability models and 50% for validating the models in terms of accuracy and reliability. Fifteen seismic-related factors were used to construct a model of each algorithm. Model validation based on the area under the receiver operating curve (AUC) was used to determine model accuracy. The AUC values of seismic vulnerability maps using the LogitBoost, LMT, and LR algorithms were 0.769, 0.851, and 0.749, respectively. We suggest that earthquake preparedness efforts should focus on reconstruction, retrofitting, renovation, and seismic education in areas with high seismic vulnerability in South Korea. The results of this study are expected to be beneficial for engineers and policymakers aiming at developing disaster risk reduction plans, policies, and programs due to future seismic activity in South Korea.

This study explores the restoration process from tourist perceived long-stay rural tourism experiences by applying a grounded theory. The concept of liminality refers to a state of in-between-ness and ambiguity, and it applies to identity reconstruction of people in organizations. In a context of traveling away from home and traveling to a second home, long-stay rural tourists would experience liminality. Also, rural tourism destinations provide a restorative environment. In-depth face-to-face interviews were conducted with eight study participants who had long-stay rural tourism experiences at Yagpyeong-sali in Gyoenggi province in South Korea. Results showed that study participants experienced the "perception of restorative environment’ as a central phenomenon. This phenomenon was caused by liminality experiences and led restoration experiences. Additional contextual and intervening conditions (i.e., rural tourism activities and relationship experiences) interplay, and restoration for daily life was experienced as a result. Theoretical and practical implications were discussed.

The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching•learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.

This study analyzes the achievement standards of the 2022 revised Home Economics curriculum for elementary, middle, and high schools using the Revised Bloom’s Taxonomy. A total of 140 analytical units were derived by segmenting 59 achievement standards into simple sentences composed of learning content and behavioral verbs. The classification of these units into dimensions of knowledge and cognitive processes achieved complete inter-rater agreement, as confirmed by Cohen’s Kappa coefficient (κ = 1). The results showed that conceptual knowledge was the most frequently emphasized dimension of knowledge, followed by procedural, metacognitive, and factual knowledge. In the cognitive process dimension, the order of frequency was as follows: understanding, analyzing, creating, applying, evaluating, and remembering. By school level, elementary standards focused on procedural knowledge and the processes of understanding and applying; middle schools emphasized conceptual knowledge and analytical thinking; and high schools highlighted metacognitive knowledge and creative and reflective thinking. In terms of the content area, there were notable differences in the types and levels of knowledge and cognitive processes required across school levels. These findings indicate that the 2022 revised curriculum is systematically structured to foster the progressive development of knowledge and thinking skills aligned with students’ cognitive growth. However, the absence of combined procedural knowledge and evaluation suggests a limitation in fostering critical and practical problem-solving skills. Therefore, future curriculum revisions should include achievement standards that assess procedural knowledge and promote diverse combinations of knowledge and cognitive processes to enhance learners’ multidimensional thinking.

The purpose of this study was to analyze the research trends and co-author networks of academic articles published in the Journal of the Korean Home Economics Association from 2010 to 2022. The network analysis was conducted using Excel and NetMiner 4.4, and the results were as follows. First, the number of published articles has been maintained at around 40 per year since 2019. By field, most articles were published in the field of child studies and family studies, followed by consumer studies, home management, clothing studies, home economics education, food and nutrition, and housing. The research methods were primarily quantitative (71.61%). Second, the most common keywords in the titles of the published articles were "influence" and "relationship", with "influence", "consumer", "mediating effect", "parent", and "control" identified as influential keywords. Third, the published articles were categorized into nine topics based on subject matter, while the number of topic types varied by year. Fourth, the total number of authors of the 627 articles was 712, with 1.92 authors per article, as well as the number of authors who published two or fewer articles accounted for 85.5% of the total. By institution, Yonsei University had the highest number of authors and the highest number of published articles, while Korea National Open University played a leading role in the network of co-authors by institution. This study is significant in providing basic data for the future development of the Korean Home Economics Association and the field of home economics.