• Journal of Korean Home Economics Education Association
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• v.35 no.3
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• pp.135-149
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• 2023

The purpose of this study is to develop and implement an integrated course model that centers around the subject of Home Economics Education Curriculum and Teaching Methods and its pedagogical approaches, as well as the subject of Chinese Language and Literature Curriculum and Teaching Methods and its pedagogical methods. This study aims to provide a framework to prepare pre-service teachers to effectively address a variety of educational issues in future educational settings. To achieve these objectives, the study utilizes Fogarty's connected model as a guiding framework to explore the impact of the integrated curriculum on fostering collaborative and divergent thinking among students. The findings of this research confirm that this model not only cultivates interdisciplinary competencies among course participants but also goes beyond the mere transmission of knowledge to build the capacities needed for forming an educational community, thereby increasing course satisfaction. Additionally, the study substantiates the importance of learner-centered strategies, cooperative learning, and diverse evaluation mechanisms. Such an integrated course model has the potential to revolutionize not only pre-service teacher education but also to be applicable in in-service teacher training, thus contributing to solving a broader range of educational issues.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.393-413
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• 2021

Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.