{"title":"Analysis of news articles on the Customized Assessment of Educational Achievement using text analysis","authors":"Hye Rim Noh, H. Yi","doi":"10.31158/jeev.2023.36.1.167","DOIUrl":"https://doi.org/10.31158/jeev.2023.36.1.167","url":null,"abstract":"The purpose of this study is to analyze the perception of stakeholders and the public on the Customized Assessment of Educational Achievement (CAEA) proposed to ensure the basic level of academic performance of students in South Korea. For this purpose, news articles and online comments were collected from major newspapers and broadcasting stations using web-crawling method. The LDA topic modeling and semantic network analysis were carried out for the news articles, while keyword frequency analysis were carried out for the news articles and comments. Seven topics were extracted from the LDA analysis: (1) conflicting responses from superintendents for expansion of the CAEA, (2) conflicts between the Office of Education and teacher organizations over participation in the CAEA, (3) implementation of the comprehensive plan to ensure that every student meets the basic level of academic standards, (4) expansion of the CAEA for improving academic performance by conservative superintendents, (5) expansion of CAEA’s target grades, (6) the 2021 National Level Academic Achievement Assessment result, and (7) implementation of the CAEA and private education. In addition, the need for the national or state-level customized assessment and concerns about polarization in education associated with mandatory administration were found in the analysis of comments on news articles. Finally, based on the perceptions of stakeholders and the public explored through this study, implications for the educationally-sound applications of the CAEA were discussed.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131390291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Testing Longitudinal Measurement Invariance of a Career Maturity Scale Through an Item Parameter Drift Analysis","authors":"Subeen Lee, Chanho Park","doi":"10.31158/jeev.2023.36.1.31","DOIUrl":"https://doi.org/10.31158/jeev.2023.36.1.31","url":null,"abstract":"The purpose of this study is to examine longitudinal measurement invariance of a career maturity scale for middle school students through an item parameter drift (IPD) analysis. Data obtained from the middle school panel participating in the Daegu Education Longitudinal Study (DELS) for 3 years were analyzed. Career maturity was measured with polytomous items, and IPD items were detected for the first and the second grade and for the second and the third grade using the likelihood ratio test based on the graded response model. As a result of the IPD analysis, it was found that IPD was detected for 3 items (items 1, 2, and 10) between the first and the second grade and for 4 items (items 1, 2, 6, and 8) between the second and the third grade. Among them, items 1 and 2, which were consecutively flagged as IPD, are self-understanding questions, and the average score of self-understanding items gradually decreased although the step parameters of those items became smaller. As a result, it was found that the IPD items caused a large decrease in the average item scores of career maturity. This suggests that if the IPD items are used without testing longitudinal measurement invariance, the difference may look larger than what it actually is.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130294511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Relationship between learner-centered classes and academic achievement of high school students: Focusing on the longitudinal mediating effect of school happiness","authors":"Yun-Jeong Shin, Hyo-Jong Won","doi":"10.31158/jeev.2022.35.4.609","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.609","url":null,"abstract":"In order to analyze the longitudinal effect of learner-centered classes of general high school students on academic achievement through school happiness, this study conducted a univariate and multivariate latent growth model analysis using data of 1,833 general high school students in the 4th and 6th years of the BELS. First, looking at the development trajectory of each research variable, it was confirmed that the average and rate of change of all variables were statistically significant, and there was a difference between individuals in changes according to grades, and students with high initial values were likely to have a relatively high rate of change. However, as the grade went up, learner-centered classes and school happiness decreased, but there was a difference in academic achievement. Next, as a result of verifying the influence of each path of the multivariate latent growth model, statistically significant influence of all paths was confirmed, but there was a difference in static and negative influence. Finally, as a result of analyzing the longitudinal mediating effect of school happiness in the relationship between learner-centered class and academic achievement, statistically significant partial mediating effect was verified in each path of initial value and rate of change. In particular, the initial value of learner-centered classes was found to have a statistically significant negative effect on the initial value of academic achievement, but statistically significant static mediating paths were analyzed when school happiness was used as a parameter.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131265078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparison of three Propensity Score Methods’ Average Treatment Effect on the Treat by Simulation","authors":"Jiyoung Mun, Hyunchul Kim","doi":"10.31158/jeev.2022.35.4.555","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.555","url":null,"abstract":"This study compared the average treatment effect on the treated(ATT) of three propensity score methods- logistic regression model, generalized boosted model, and Bayesian model– by simulation. The simulated data were generated under two sample sizes, four covariates models, and four model intercepts conditions. The results shaw that generalized boosted model and Bayesian model also provide smaller bias than logistic regression model when the sample size was small(N=200). And, generalized boosted model and Bayesian model provide small bias than logistic regression model. It was interpreted that the propensity score method which takes into account the distribution of covariates produce more adequate estimation of causal effect.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131136763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Precision of Ability Estimates and Item Pool Utilization Depending on Degrees of Correlations among Subsections and Item Selection Criteria in Computerized Adaptive Testing","authors":"Youmin Hong, Guemin Lee","doi":"10.31158/jeev.2022.35.4.633","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.633","url":null,"abstract":"The purpose of this study was to investigate the effects of degrees of correlations among subsections and item selection criteria on the precision of ability estimates and item pool utilization in computerized adaptive testing (CAT). Based on the results of this simulation study, the following conclusions can be made. First, the precision of ability estimates would be decreased when the correlations among subsections was relatively low. Second, when implementing an a-stratified item selection method (AST), the effects of degrees of correlations among subsections on the precision of ability estimates increased, compared to the maximum fisher information item selection method (MFI). Third, when the test length was relatively long, the effects of degrees of correlations among subsections on the precision of ability estimates decreased. Forth, MFI with content-balancing increased the precision of ability estimates, especially in the case of low correlations among subsections. The item pool utilization seemed not to be considerably affected by the correlations among subsections, implementing a-stratification item selection method and/or item exposure strategy, the item pool utilization increased.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Relationship Between Academic Achievement and Affective Attitudes in Math and Science Based on TIMSS Results","authors":"Kyung-Nyun Kim, Minhee Seo, Bitna Lee","doi":"10.31158/jeev.2022.35.4.763","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.763","url":null,"abstract":"For the past 20 years, Korea has shown a very low level of affective attitude in math and science despite high academic achievement scores in international academic achievement evaluations such as PISA or TIMSS. To identify patterns of affective attitudes in math and science, we compared the relationship between affective attitudes and academic achievement through comparisons of high-performing countries. Also, we conducted latent profile analysis on affective attitudes in math and science and investigated the relationship between latent profile and academic achievement. We used cohort data for 4th and 8th graders to compare changes across grades. The results are as follows. First, affective attitudes and academic achievement were positively correlated in all countries, but high-performing countries had very low affective attitudes. Second, according to the results of the latent profile on affective attitudes in math and science, the 4th graders were derived on the basis of positive attitudes, whereas the 8th graders were derived on the basis of negative attitudes. Third, students who belonged to a group with high affective attitudes showed high academic achievement for all graders in Korea. Lastly, educational implications for improving affective attitudes in math and science were proposed.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130253003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Analysis of the Cumulative Effect of AttendingGyeonggi-do Innovation School on College Entrance","authors":"Hyun-jung Im","doi":"10.31158/jeev.2022.35.4.719","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.719","url":null,"abstract":"The purpose of this study is to verify the effect of attending Gyeonggi-do innovation school on college entrance and academic achievement. In particular, the analysis is conducted using the inverse probability of treatment weighting of propensity score to empirically verify the longitudinal effect of the innovation school attendance experience and whether additional effects occur through the linkage of innovation education. As a result of the analysis, the experience of attending an innovation high school has a positive effect on college entrance, the probability of entering a four-year university, while the difference between general middle school graduates and innovation middle school graduates on college entrance is not significant. The interaction between innovation middle school and innovation high school on the location of the university and the university ranking is significant, indicating that the linkage of innovation education is advantageous for college entrance. On the other hand, there is no difference in CSAT scores between general school graduates and innovation school graduates. These results show that Gyeonggi-do innovation high school has a positive effect on college entrance of its students. In particular, it is confirmed that the positive effect is amplified when both middle and high schools are in innovative education. Also among innovation high school graduates, those from general middle schools shows disadvantageous college entrance results while those from innovation middle schools shows favorable results. This result shows the necessity of linking innovative education from middle school level to high school level.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128625620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Text-mining Analyses of Undergraduates’ Essays on Global Perspectives by Performance Levels in Korea","authors":"E. Ham, Ye-Lim Yu","doi":"10.31158/jeev.2022.35.4.687","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.687","url":null,"abstract":"This study aims to illustrate how text-mining can be employed to identify key qualities of student performance on essays according to different performance levels. A total of 111 undergraduates’ essays on ‘climate change and transnational cooperation’ were classified into the upper, middle, and lower levels based on scores. The main findings from keyword frequency and network analyses are as follows. First, the contents of frequently used words were different across the performance levels. In the upper-level answers, the frequency of keywords used to analyze conflicts of interest between countries and to suggest cross-border responses using technology was high. In contrast, in the lower-level answers, everyday words often appeared to describe the need to respond to climate crisis. Second, in the upper-level answers, the weighted degree of centrality was similar across keywords, and the connections between keywords were stronger. While in the lower-level answers, the opposites were observed. Third, bigram network analysis was effective at all levels in identifying the structure of detailed discussions of essays. The usefulness and future directions of using text mining to analyze the qualitative difference in the subjects’ performance in essay assessment were discussed.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"46 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121010324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fitting the GLMM tree to educational data: focusing on differential effects of afterschool program and private tutoring participation","authors":"Hyun-jeong Park, Dayeon Lee, Hyeon-ji Kwon","doi":"10.31158/jeev.2022.35.4.577","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.577","url":null,"abstract":"This study aims to introduce the GLMM tree and show its usefulness in educational research. The GLMM tree model is an extension of MOB to be applied to multilevel data, which detects subgroups with differential effects to estimate the fixed-effect in each subgroup and the random effect by the cluster to which each observation belongs. In this study, we identified the differential effects by detecting subgroups of afterschool programs and private tutoring participation in mathematics achievement of second grade high school students. Using the GLMM trees, students were divided into 16 and 15 subgroups respectively according to the participation of afterschool programs and the private tutoring. Also, cognitive and affective variables such as pre-mathematics achievement, interest in mathematics were selected as nodes. For both treatments, it was confirmed that the fixed-effect was estimated differently for each subgroup. Based on the results, we compared the differential effects of participation in afterschool programs and private tutoring and factors selected as nodes of models, and discussed the potential of the GLMM tree model in educational research.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116758892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A case study of latent growth curve analysis on creativity of Korean adolescent using SEMtree","authors":"Hyekyung Jung, Yongsang Lee, Insuk Kim","doi":"10.31158/jeev.2022.35.4.787","DOIUrl":"https://doi.org/10.31158/jeev.2022.35.4.787","url":null,"abstract":"As the importance of creativity education is emphasized in a rapidly changing society with the advent of the digital era, empirical data are being collected via creativity assessment and survey along with interest in educational environments and_2 teaching and learning methods to enhance creativity. In this study, an empirical analysis was conducted to identify the trend based on the latent growth model and to explore the related variables for the creativity score of Korean middle school adolescents with the longitudinal secondary data having three data points. By applying the SEMtree method, which is a combination of decision tree techniques and structural equation modeling, the main purpose was to provide practical information to general educators by identifying the characteristics of the model-based recursive method, i.e, SEMtree and exploring the possibility of application to actual educational data.","PeriodicalId":207460,"journal":{"name":"Korean Society for Educational Evaluation","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124178161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}