Jumong is a legendary figure in Korean mythology.He is depicted as a genius archer,a brilliant mind with horses,a god who rules the rivers and the sky.Jumong is a mythical character who is believed to be of divine des...Jumong is a legendary figure in Korean mythology.He is depicted as a genius archer,a brilliant mind with horses,a god who rules the rivers and the sky.Jumong is a mythical character who is believed to be of divine descent and to possess superhuman abilities that humans cannot match.The myth of Jumong is a very competitive content that can compete on a global scale.However,in order for it to be successful,it is necessary to be able to reinterpret our mythology to suit the times and reproduce it culturally.To this end,the realistic globalization of Korean classical literature should commence with the genre of Korean mythology.This paper presents the educational significance of the Jumong myth as a teaching-learning model,via STEAM(science,technology,engineering,arts,and mathematics),on the theme of Korean mythology.As we enter the era of artificial intelligence(AI)through the 4th Industrial Revolution,the most appropriate teaching and learning method,the convergence class,will provide an opportunity for students living in modern times to discover the cultural archetypes that allow them to recognise themselves as individuals and us as a collective,and to find the roots of the myth to positively renew their identity.Furthermore,it is my hope that they will rediscover and appreciate the representative work of Korean mythology,Gojomong,the eponymous story of Goguryeo.展开更多
Purpose:To advocate educational improvement science(EIS)as an emerging transdisciplinary field,I reflect on the three major pathways of educational advancement in human history,discern the misuses and pitfalls of refo...Purpose:To advocate educational improvement science(EIS)as an emerging transdisciplinary field,I reflect on the three major pathways of educational advancement in human history,discern the misuses and pitfalls of reform,and theorize how education can be improved to better serve its mission.Design/Approach/Methods:Employing a multiperspectival approach,I critically re-examine educational reforms and improvements worldwide and conceptualize the emerging transdisciplinary field through an extensive literature review,etymological analysis,international comparisons,and socio-historical,-cultural and-philosophical reflections.Findings:In this paper,I advance the concept of neo-improvementalism for EIS by elucidating its philosophical assumptions,disciplinary fundamentals,and theoretical frameworks through historical and comparative lenses.I identify and construct disciplinary knowledge of EIS comprising two categories,namely,subject matter knowledge and profound knowledge,adopted from improvement science.I then highlight three methodological approaches of EIS and the building of professional improvement communities empowering individual and institutional improvement capabilities.I propose that EIS is the art of the improving organization for classes,schools,and/or more broadly defined educational agencies.Originality/Value:This study recognizes the significance of EIS and research thereon,especially discipline-building and exploration based on local characteristics in a global vision,and the cultivation of new frontiers of educational research and practices.展开更多
Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring th...Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.展开更多
Organizations are facing unprecedented challenges in the 21st century and OD plays a significant role in creating effective responses to these changes.Not only has it been applied in the USA but gains popularity in dy...Organizations are facing unprecedented challenges in the 21st century and OD plays a significant role in creating effective responses to these changes.Not only has it been applied in the USA but gains popularity in dynamic Asian region under the megatrend of globalization and information technology.This paper gains insight from Asia Organization Development(OD)Network Summit and discusses future potential application of OD to educational systems.展开更多
基金support of the Korea University of Education and Training Center for Convergence Education(2019-2022).
文摘Jumong is a legendary figure in Korean mythology.He is depicted as a genius archer,a brilliant mind with horses,a god who rules the rivers and the sky.Jumong is a mythical character who is believed to be of divine descent and to possess superhuman abilities that humans cannot match.The myth of Jumong is a very competitive content that can compete on a global scale.However,in order for it to be successful,it is necessary to be able to reinterpret our mythology to suit the times and reproduce it culturally.To this end,the realistic globalization of Korean classical literature should commence with the genre of Korean mythology.This paper presents the educational significance of the Jumong myth as a teaching-learning model,via STEAM(science,technology,engineering,arts,and mathematics),on the theme of Korean mythology.As we enter the era of artificial intelligence(AI)through the 4th Industrial Revolution,the most appropriate teaching and learning method,the convergence class,will provide an opportunity for students living in modern times to discover the cultural archetypes that allow them to recognise themselves as individuals and us as a collective,and to find the roots of the myth to positively renew their identity.Furthermore,it is my hope that they will rediscover and appreciate the representative work of Korean mythology,Gojomong,the eponymous story of Goguryeo.
基金supported partially by the National Natural Science Foundation of China(grant number 71834001).
文摘Purpose:To advocate educational improvement science(EIS)as an emerging transdisciplinary field,I reflect on the three major pathways of educational advancement in human history,discern the misuses and pitfalls of reform,and theorize how education can be improved to better serve its mission.Design/Approach/Methods:Employing a multiperspectival approach,I critically re-examine educational reforms and improvements worldwide and conceptualize the emerging transdisciplinary field through an extensive literature review,etymological analysis,international comparisons,and socio-historical,-cultural and-philosophical reflections.Findings:In this paper,I advance the concept of neo-improvementalism for EIS by elucidating its philosophical assumptions,disciplinary fundamentals,and theoretical frameworks through historical and comparative lenses.I identify and construct disciplinary knowledge of EIS comprising two categories,namely,subject matter knowledge and profound knowledge,adopted from improvement science.I then highlight three methodological approaches of EIS and the building of professional improvement communities empowering individual and institutional improvement capabilities.I propose that EIS is the art of the improving organization for classes,schools,and/or more broadly defined educational agencies.Originality/Value:This study recognizes the significance of EIS and research thereon,especially discipline-building and exploration based on local characteristics in a global vision,and the cultivation of new frontiers of educational research and practices.
基金support of the European Commission ETER Project (No. 934533-2017-AO8-CH)H2020 RISIS 2 project (No. 824091)。
文摘Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.
文摘Organizations are facing unprecedented challenges in the 21st century and OD plays a significant role in creating effective responses to these changes.Not only has it been applied in the USA but gains popularity in dynamic Asian region under the megatrend of globalization and information technology.This paper gains insight from Asia Organization Development(OD)Network Summit and discusses future potential application of OD to educational systems.
