• Journal of the Korean Chemical Society
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• v.51 no.2
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• pp.193-200
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• 2007

This study investigated the effects of situational context feedback in CAI upon students' conceptual understanding, science learning motivation, and the perception of CAI. Seventh graders (N = 114) from a coed middle school in Incheon were assigned to the situational context feedback CAI (SCF-CAI), the feedback CAI (F-CAI) and the CAI groups, and were taught about ‘three states of matter' and ‘motion of molecules' for 8 class hours. Prior science achievement test score used as a blocking variable. Two-way ANCOVA results revealed that the conceptual understanding test scores of the SCF-CAI group were significantly higher than those of the other groups. For the higher achievers, the scores of the F-CAI group in science learning motivation test were significantly higher than those of the CAI group. However, there was no significant difference among the lower achievers of three groups. The higher achievers in the SCFCAI and the F-CAI groups perceived the CAI more positively than those of the CAI group. The lower achievers in the FCAI group perceived the CAI more negatively than those of the other groups. Educational implications are discussed.

• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.147-158
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• 2011

The purpose of this study is to define the teachers' perception for technology leadership when utilizing the Digital Textbook (DT). The subjects of this study were 97 elementary school teachers (40 males and 57 females) working in digital textbook research schools that implemented digital textbooks in 2009. Needs assessment instrument was revised based on previous instruments. Perception was calculated using Borich formula. According to the results, teachers of digital textbook research schools recognized 'teachers' instructional methods' as the most important area, while the least recognized area was 'support by the school'. The highest technology leadership needs by categories included 'role setting between members when implementing digital textbooks', 'instructional methods to cultivate creativity when using digital textbooks', 'troubleshooting digital textbook problems', 'additional staff support in case of problems', 'development of various assessment tools for measuring the effect of the digital textbook', and 'support of digital textbook resources for students with disabilities'. Based on these results, the study proposed specific methods to enhance technology leadership for the successful introduction of digital textbooks in schools.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.107-114
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• 2014

This study aims to investigate the effects of reflection activities on using Facebook in university lectures. To accomplish the purpose of this study, an experiment was conducted with 181 students who took a large-scale university lecture. Subjects were assigned into two groups: 90 facebook group(experimental group) and 91 cybercampus group(control group). They participated reflection activities on facebook or cybercampus during 4 weeks. Independent samples t-test with in-depth interview were employed to analyze data. The results of this study are summarized as follows: there was a statistically significant difference in learning satisfaction between facebook group and control group. Learning satisfaction of facebook group is significantly higher than that of control group because reflection activities on facebook provided to gather information on reflection and to interact with peers easily. In conclusion, these findings imply that reflection activities on facebook is effective for improving learning satisfaction of large-scale university lectures.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.55-63
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• 2005

Recently, web-based E-learning systems have entered the spotlight by providing new learning environments that break down spatial and temporal limitations. The key to building the web-based E-learning system is in determining how to effectively use the system and to evaluate the degree of learning achieved by the students that use it. In traditional off-line learning systems, we can evaluate students by counting how many questions, designed to evaluate their learning achievement, he or she answers correctly within a predetermined time limit. But this method would make individualized learning, a strong point of E-learning systems, impossible because these systems provide same learning strategy to all students even though they achieve a different level of learning. Therefore, in this paper, I will find any relationships between given test answers using fuzzy implication theory, I call these fuzzy correlations, and then generate evaluation results that are reflected in those relationships. I will compare the differences between this evaluation method and a traditional evaluation method where a student takes a test to evaluate his or her learning achievement after some learning period. Finally, I will discuss how we can use these results in individualized learning.

• The Journal of Korean Association of Computer Education
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• v.5 no.2
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• pp.29-37
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• 2002

The purpose of this study is to examine the effects of the level of background knowledge and the metacognition supporting tool (MST) on the learning activities and outcomes in a web problem based learning environment from the theoretical perspectives of PBL (problem-based-learning) in the Web and metacognition. Results suggest that the level of learners' background knowledge could play a slight role in problem oriented learning activities. This was because learning tasks were characterized by ill-structured problems in Web-based problem learning and this sort of learning might have been a somewhat newer experience for the selected students. Providing MST for learners' PBL activities, however, was highly beneficial for learners who practice PBL in Web based learning environments. In addition, for PBL outcomes, variables like problem solution reporting documents. the use of MST had a more positive effect on the lower level learners' background knowledge than the higher level learners'.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.185-195
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• 2003

A performance evaluation, which requires to observe students in the course of learning and studying and to evaluate their reports and materials, is emerging as an alternative evaluation method to overcome the shortcoming of simple written tests. However, there are many difficulties in real teaching setting to apply the performance evaluation, because it requires many burdens of efforts and time. In order to reduce these burdens of teachers, there have been several approaches which utilize the Internet for the evaluation. But these previous approaches have several limitations that they don't allow students' participation in evaluation activities, fail to provide a variety of evaluation methods. and/or support teachers' feedbacks very limitedly. In order to overcome these limitations. therefore. this paper designed and implemented a web- based performance evaluation system supporting the participation of students in doing evaluation themselves and various evaluation methods. which can be effectively managed by teachers. This web-based performance evaluation system developed in this paper can enhance not only students' high level thinking abilities but also their emotional and intellectual abilities. It can also help teachers to reduce the burden of working and the time in plenty used for evaluating students.

• The Journal of Korean Association of Computer Education
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• v.18 no.6
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• pp.71-79
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• 2015

In a new era of Cloud and Big data, how to search the useful data from dynamic huge data pool in a right time and right way is most important at the stage where the information is getting more important. Above all, in the era of s Big Data it is required to design the advanced efficient intelligent Knowledge system which can process the dynamic variable big data. Accordingly in this paper we propose Dynamic personal Knowledge Network as one of the advanced Intelligent system approach. Adopting the human brain function and its neuro dynamics, an Intelligent system which has a structural flexibility was designed. For Structure-Function association, a personal Knowledge Network is made to be structured and to have reorganizing function as connecting the common nodes. We also design this system to have a reasoning process in the extracted optimal paths from the Knowledge Network.

• The Journal of Korean Association of Computer Education
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• v.20 no.1
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• pp.87-97
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• 2017

Recently, much research has been done on the turnover and retirement intentions of the organization members as many companies recognize the negative impact of the human resource outflow on the organization. However, most of the studies are conducted in the form of questionnaires, and there is still a lack of studies on the turnover and retirement intentions based on the work life data. In this study, we analyzed the factors affecting the retirement of employees based on the work life profile, and created a retirement prediction model using the machine learning method. As a result, we could identify various factors that were not covered in previous researches. In addition, we have established a basis for research that can provide a solution for the problem of human resource outflow by generating a good performance retirement prediction model.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.117-128
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• 2004

Compared with traditional face-to-face instruction, online learning causes learners to experience more severe feeling of isolation and results in higher dropout rate. This is due to the lack of interaction, sense of belonging, membership, interdependency, cooperation among members and social environment that enables persistence in online learning. Therefore, it is very important for grouping e-learning community to lower the dropout rate and eliminate feeling of isolation. In this paper, the research has been done on the inclination test list to be applied for grouping the desirable learning community. And on the basis of this research, the grouping system for e-learning community(GSE) based on intelligent multi agents for an inclination test using homogeneous and heterogeneous items has been developed. GSE system has such properties that construct a personalized user profile by an agent, and then make groupings according to users' inclination. When this system was evaluated, about 88% of learners were satisfied, and they wanted the group not to be disorganized but to be maintained.

• Journal of Korea Game Society
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• v.12 no.5
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• pp.5-12
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• 2012

The information represented by graphic is preferred more than by text to the game generation familiar to computer games in the cognitive style. The learning to solve the math problems represented by graphic is significantly effective to improve learner's problem-solving power in math education. In this paper, we proposed a method of graphic representation of mathematical sentences for effective learning of the game generation. The proposed method arranges the unit informations in the logical structure and represent the logical interrelation between the informations by symbols, line segments, or arrows using the graphic elements with good visibility for the game generation to recognize easily and to understand accurately the logical meaning. The proposed method is able to represent accurately the math sentences until the detail level that appears the tense and the voice of the sentences differently from the previous graphic representation method's ability. The proposed method could be used as learning tools and used widely to represent graphically mathematical informations for the instructional scaffolding of an educational game in oder that the game generation could learn effectively.