Purpose:This article explores the literary work of a teacher and activist,Yi O-Deok,as a lens to approach historically and culturally embedded notions of humanization in education in Korea.Anchored in the ethos of“As...Purpose:This article explores the literary work of a teacher and activist,Yi O-Deok,as a lens to approach historically and culturally embedded notions of humanization in education in Korea.Anchored in the ethos of“Asia as Method,”this study offers a unique perspective that exemplifies the importance of the local sociocultural context in Asia in enriching our understanding of universal concepts.Design/Approach/Methods:This study adopts a methodological approach centered around the examination of Yi O-Deok's work and his influence on critical literacy education.Key source materials include Yi's extensive five-volume diary and the various literary pieces he edited from the1950stothe1980s.Findings:Yi O-Deok's philosophy on humanizing education,deeply influenced by local contexts,provides a distinct,non-Western perspective.It offers a critical counterpoint to Western-centric educational paradigms and enriches the broader understanding of humanization in education.Originality/Value:The uniqueness of this study resides in its focus on children's writings,affirming faith in the unfiltered expressions of their pure spirits encapsulated in the raw“languages of the soil,”which have persevered through the sociopolitical upheavals of Korea's modern history.This in turn strengthens the call for a nuanced,non-Western interpretation of the concept of“humanization”in education.展开更多
With the advancement of globalization,university students need not only to master English language skills but also to develop critical thinking and logical expression skills,both of which are crucial for academic and ...With the advancement of globalization,university students need not only to master English language skills but also to develop critical thinking and logical expression skills,both of which are crucial for academic and professional success.As an interactive and structured learning activity,English debates provide an effective platform for enhancing these cognitive and linguistic skills.This study investigates the impact of English debates on students’critical thinking and logical expression skills by analyzing pre-and post-debate assessments,survey data,and in-depth interviews with debate participants.The results indicate significant improvements in critical thinking skills,including argumentation logic,rebuttal techniques,and problem awareness.Students also demonstrated notable progress in organizing and expressing complex ideas logically in English.These findings offer valuable insights for English teaching in higher education,suggesting that debates can serve as an effective pedagogical tool for fostering both language and cognitive development in university students.展开更多
Prediction of mode I fracture toughness(KIC) of rock is of significant importance in rock engineering analyses. In this study, linear multiple regression(LMR) and gene expression programming(GEP)methods were used to p...Prediction of mode I fracture toughness(KIC) of rock is of significant importance in rock engineering analyses. In this study, linear multiple regression(LMR) and gene expression programming(GEP)methods were used to provide a reliable relationship to determine mode I fracture toughness of rock. The presented model was developed based on 60 datasets taken from the previous literature. To predict fracture parameters, three mechanical parameters of rock mass including uniaxial compressive strength(UCS), Brazilian tensile strength(BTS), and elastic modulus(E) have been selected as the input parameters. A cluster of data was collected and divided into two random groups of training and testing datasets.Then, different statistical linear and artificial intelligence based nonlinear analyses were conducted on the training data to provide a reliable prediction model of KIC. These two predictive methods were then evaluated based on the testing data. To evaluate the efficiency of the proposed models for predicting the mode I fracture toughness of rock, various statistical indices including coefficient of determination(R2),root mean square error(RMSE), and mean absolute error(MAE) were utilized herein. In the case of testing datasets, the values of R2, RMSE, and MAE for the GEP model were 0.87, 0.188, and 0.156,respectively, while they were 0.74, 0.473, and 0.223, respectively, for the LMR model. The results indicated that the selected GEP model delivered superior performance with a higher R2value and lower errors.展开更多
文摘Purpose:This article explores the literary work of a teacher and activist,Yi O-Deok,as a lens to approach historically and culturally embedded notions of humanization in education in Korea.Anchored in the ethos of“Asia as Method,”this study offers a unique perspective that exemplifies the importance of the local sociocultural context in Asia in enriching our understanding of universal concepts.Design/Approach/Methods:This study adopts a methodological approach centered around the examination of Yi O-Deok's work and his influence on critical literacy education.Key source materials include Yi's extensive five-volume diary and the various literary pieces he edited from the1950stothe1980s.Findings:Yi O-Deok's philosophy on humanizing education,deeply influenced by local contexts,provides a distinct,non-Western perspective.It offers a critical counterpoint to Western-centric educational paradigms and enriches the broader understanding of humanization in education.Originality/Value:The uniqueness of this study resides in its focus on children's writings,affirming faith in the unfiltered expressions of their pure spirits encapsulated in the raw“languages of the soil,”which have persevered through the sociopolitical upheavals of Korea's modern history.This in turn strengthens the call for a nuanced,non-Western interpretation of the concept of“humanization”in education.
文摘With the advancement of globalization,university students need not only to master English language skills but also to develop critical thinking and logical expression skills,both of which are crucial for academic and professional success.As an interactive and structured learning activity,English debates provide an effective platform for enhancing these cognitive and linguistic skills.This study investigates the impact of English debates on students’critical thinking and logical expression skills by analyzing pre-and post-debate assessments,survey data,and in-depth interviews with debate participants.The results indicate significant improvements in critical thinking skills,including argumentation logic,rebuttal techniques,and problem awareness.Students also demonstrated notable progress in organizing and expressing complex ideas logically in English.These findings offer valuable insights for English teaching in higher education,suggesting that debates can serve as an effective pedagogical tool for fostering both language and cognitive development in university students.
文摘Prediction of mode I fracture toughness(KIC) of rock is of significant importance in rock engineering analyses. In this study, linear multiple regression(LMR) and gene expression programming(GEP)methods were used to provide a reliable relationship to determine mode I fracture toughness of rock. The presented model was developed based on 60 datasets taken from the previous literature. To predict fracture parameters, three mechanical parameters of rock mass including uniaxial compressive strength(UCS), Brazilian tensile strength(BTS), and elastic modulus(E) have been selected as the input parameters. A cluster of data was collected and divided into two random groups of training and testing datasets.Then, different statistical linear and artificial intelligence based nonlinear analyses were conducted on the training data to provide a reliable prediction model of KIC. These two predictive methods were then evaluated based on the testing data. To evaluate the efficiency of the proposed models for predicting the mode I fracture toughness of rock, various statistical indices including coefficient of determination(R2),root mean square error(RMSE), and mean absolute error(MAE) were utilized herein. In the case of testing datasets, the values of R2, RMSE, and MAE for the GEP model were 0.87, 0.188, and 0.156,respectively, while they were 0.74, 0.473, and 0.223, respectively, for the LMR model. The results indicated that the selected GEP model delivered superior performance with a higher R2value and lower errors.
