• Journal of the Korean Chemical Society
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• v.65 no.6
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• pp.455-467
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• 2021

The purpose of this study was to investigate the impact of negotiation-based peer and self-assessment activities on science-gifted students' modeling and students' perceptions of the impact of these assessment activities on modeling. For this purpose, 92 students in the 11th grade of a science high school, in a metropolitan city, were selected to conduct peer assessment, self-assessment, and science writing activities with four topics of Advanced Chemistry. The students' modeling was analyzed in terms of 'structuring scientific concepts', 'logic', 'multiple representations' and 'communication'. Based on the results, the mean scores of modeling increased for each element of evaluation according to the progress of assessment activities. Students' responses in the survey and interviews showed that students perceived the results of student assessment activities as valid, students also recognized the benefit of these assessment activities by referring to the assessment results before their next writing assignment.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.144-157
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• 2017

Although student satisfaction is important in university development, there have been many studies in this area. Especially student satisfaction is closely related to emotional aspect, but most studies have tended to study it with cognitive view. To suggest the model of student satisfaction with hedonic view, the model which we present in this study includes professor presence and interaction, PAD(pleasure, arousal, dominance), satisfaction(dependent variable). Through reviewing previous studies, we expect that these professor presence and students' interaction effect PAD, in turn, PAD effect satisfaction. Survey research is employed to test hypotheses involving professor presence, students' interaction, PAD and satisfaction. Previous researches, such as education, marketing, game, have been referenced to measure constructs. We collected data involving students in a university, and used 219 respondents to analyze these data using LISREL structural modeling. Professor presence had positive effects on professor-student interaction, pleasure, arousal, and dominance. Also professor-student interaction had positive effect on pleasure and arousal, and student-student interaction had positive effects on pleasure and arousal, dominance. As a result, PAD had effects on students' satisfaction. In the final section, we discussed several limitations of our study and suggested directions for future research. We concluded with a discussion of managerial implications, including the potential to advance understanding learning in a university.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.170-185
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• 2016

The purpose of this study was to investigate the relationship among instructor's non-verbal communication, emotional reaction, and self-efficacy. By using convenience sampling method of non-provability sampling, 258 student athletes from S and D cities were selected for a questionnaire survey. The 184 returned surveys were analyzed with structural equation modeling through SPSS 22.0 and AMOS 22.0 statics program. The study results are summarized as follows. First, instructor's non-verbal communication has a positive influence on emotional reaction of high school student athletes. Second, high school student athletes experiencing emotional reactions by instructor have a positive influence on self-efficacy. Third, instructor's non-verbal communication does not influence self-efficacy of high school student athletes directly. Fourth, emotional reactions of high school student athletes experienced by instructor's non-verbal communication have a mediating effect on self-efficacy. Fifth, neither gender nor exercise period has a moderating effect on the relationship between non-verbal communication, emotional reactions, and self-efficacy.

• (The) Korean Journal of Educational Psychology
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• v.28 no.1
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• pp.23-39
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• 2014

The goal of this study was to examine the relationship among students' personal variables(Korean language abilities, self-efficacy, student-teacher attachment relationships), teacher variable(perceptions of multi-cultural education) affecting on multi-cultural students' school adjustment. Structural equation modeling was performed to test the mediating role of self-efficacy and student-teacher attachment affecting multi-cultural students' school adjustment. 336 elementary students and their matching 264 elementary school teachers were participated for this study. The model fit for this study model was acceptable, =280.024, df=98, CFI=.930, RMSEA = .074. The results revealed that teacher's perceptions on multi-cultural education significantly related with student-teacher relationships. However, Korean language ability did not directly affect the school adjustment for multi-cultural background students. That is, self-efficacy and student-teacher relationships mediated between Korean language ability and school adjustment. Moreover student-teacher relationships seem to be the key mediating factor between other research variables and school adjustment. Further considerations and future directions based on results were discussed.

• Journal of Computing Science and Engineering
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• v.7 no.4
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• pp.251-262
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• 2013

Bad smells are usually related to program source code, arising from bad design and programming practices. Refactoring activities are often motivated by the detection of bad smells. With the increasing adoption of Design-by-Contract (DBC) methodologies in formal software development, evidence of bad design practices can similarly be found in programs that combine actual production code with interface contracts. These contracts can be written in languages, such as the Java Modeling Language (JML), an extension to the Java syntax. This paper presents a catalog of bad smells that appear during DBC practice, considering JML as the language for specifying contracts. These smells are described over JML constructs, although several can appear in other DBC languages. The catalog contains 6 DBC smells. We evaluate the recurrence of DBC smells in two ways: first by describing a small study with graduate student projects, and second by counting occurrences of smells in contracts from the JML models application programming interface (API). This API contains classes with more than 1,600 lines in contracts. Along with the documented smells, suggestions are provided for minimizing the impact or even removing a bad smell. It is believed that initiatives towards the cataloging of bad smells are useful for establishing good design practices in DBC.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• Journal of The Korean Association For Science Education
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• v.17 no.1
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• pp.1-10
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• 1997

The purpose of this study was to analyze the structural model of causal effects of students' variables on science process skills. Student characteristics investigated in the study included attitude related to the science, logical thinking ability, scientific experiences, cognitive style. Covariance structural modeling procedures were used to test causal inferences about hypothesized relationships. The sample consisted of 319 6th grade students and 321 8th grade students in Seoul City, Korea. Five instruments were used in the study, TSPS(test of science process skills), GALT(group assessment of logical thinking), CEFT(children embedded figures test), questionnaire of attitude related to the science, questionnaire of scientific experience. For statistical analysis, the study adopted the structural equation modeling with LlSREL, a computer statistical program developed by J reskog and S rbom. Major findings of the study are as follows:1) Logical thinking ability has a most strong direct effect on science process skills. 2) The structural coefficient of scientific experience influence on attitude related to the science has the greatest direct one than the others in the covariance structural model. According to the results of this study, it is very importance that various scientific experiences, particularly hands-on activity, should be offer to students to improve science process skills. Also, understanding the relationships of student variable to science process skills will be helpful to decision making on the part of curriculum developers, science teachers and researchers.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.445-452
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• 2015

The purpose of this study was to examine the mediating effect of moral elevation on the relationship between character strengths(humanity), self-control and altruistic behavior in the times of convergence. 647 college students in Cheongju were sampled. Four measurement instruments were employed; a Character Strengths(Humanity) Scale, Self-Control Scale, Moral Elevation Scale, and Altruistic Behavior Scale. The Collected data were analyzed with SPSS program and Structural Equation Modeling(SEM). Fitness of the final model were CFI=.937, TLI=.917, RMSEA=.077. The results of this study were as follows: First, there were significant positive correlations among character strengths(humanity), self-control, and altruistic behavior. Second, according to the structural equation modeling, the results showed that moral elevation had a mediating effect in relationship between college student's character strengths(humanity), self-control and altruistic behavior.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.67-78
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• 2019

The purpose of this study is to explore information ethics issues based on academic big data from Web of Science (WoS) and to provide implications for information ethics education in informatics subject. To this end, 318 published papers from WoS related to information ethics were text mined. Specifically, this paper analyzed the frequency of key-words(TF, DF, TF-IDF), information ethics issues using topic modeling, and frequency of appearances by year for each issue. This paper used 'tm', 'topicmodel' package of R for text mining. The main results are as follows. First, this paper confirmed that the words 'digital', 'student', 'software', and 'privacy' were the main key-words through TF-IDF. Second, the topic modeling analysis showed 8 issues such as 'Professional value', 'Cyber-bullying', 'AI and Social Impact' et al., and the proportion of 'Professional value' and 'Cyber-bullying' was relatively high. This study discussed the implications for information ethics education in Korea based on the results of this analysis.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.115-125
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• 2018

The one of goals of the 2015 revised national curriculum is the successful application of achievement standards-based assessment, which assesses both the results and process of learning, ensuring that all students have achieved the educational objectives, to schools. Therefore, an achievement standards and evaluation support system is required to manage a whole process of teaching and learning based on achievement standards and provide the personalized assessment feedback to students to improve their achievement levels. In this paper, we perform a design of integrated data model and system of teaching plan, subject content, assessment plan, assessment result, and feedback data is required based on an achievement standards repository. In addition, we create a student's dashboard webpage, which representing different types of achievement of the student, and perform the comparative analysis of data models to evaluate the quality of the proposed model.