• Journal of Elementary Mathematics Education in Korea
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• v.14 no.3
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• pp.789-806
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• 2010

As calls for more attention toward social minority group increases in our society recently, in the field of mathematics education more attention toward an issue about mathematics underachievers is being amplified. Thus, the present study is to examine the effects of teaching method considering students' cognitive characteristics on mathematical underachievers' problem solving and mathematical disposition. For this study, 10 fifth graders identified as mathematical underachievers based on the results of the national level diagnosis assessment and school based assessment were voluntarily selected from an elementary school in Seoul. The results of this study found out the fact that students participating in this program improved in terms of an ability both to solve problems in various ways and to explain an process of problem solving using spoken or written language and drawings. In addition, learning environment respecting students' own mathematical ideas seems to positively influence students' attitudes toward mathematics learning and mathematical dispositions. Furthermore, this study pointed out that mathematical underachievers tend to have difficulty in expressing their own mathematical thinking by reason of linguistic limitation. Finally, the findings of this study imply that for effective teaching of mathematics underachievers, these students' own informal experience and knowledge about mathematics as well as their characteristics regarding learning difficulties should be strongly considered.

• The Mathematical Education
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• v.61 no.2
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• pp.257-271
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• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.

• Korean Journal of Adult Nursing
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• v.28 no.4
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• pp.447-458
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• 2016

Purpose: This study was designed to describe the effects of a nursing simulation focused on patients with cardiac arrest. The study was designed to measure knowledge, self-confidence, critical thinking, and clinical performance ability of nursing students. Methods: A non-equivalent control group quasi-experimental design was used. Thirty students in the experimental group received two hours of pre-learning and three hours of skill and simulation practice. Another thirty students in the experimental group received a two hour conventional lecture and three hours for skill practice. The post survey was completed by both groups. Results: Students in the experiemetal group scored significantly higher than students in control group. The critical thinking disposition was not significantly different between the two groups of students. Conclusion: The results indicate that a simulation education program is more effective in a number of areas including knowledge, self-confidence, and clinical performance. It is recommended that simulation education should be expanded to various clinical situations.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.385-396
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• 2019

This study was conducted to explore the characteristics of learner who showed free riding behavior in online collaborative learning. For this, 290 students from three universities in the metropolitan area were studied. The collected data are as follows. Learner characteristics are learning strategy, learning motivation, academic retardation behavior, and learning disposition. Interaction distinguished between frequency and type of message. Interaction levels were collected with frequency. The subjects with less than 5 interaction frequencies were defined as free-riding students. 43 students were classified as free riders. Learner characteristics were analyzed by cluster analysis. As a result, the learner characteristics were divided into five groups. All the free riding students belonged to 4 groups. The learner characteristics of 4 groups are as follows. First, the level of the learning strategy is very low. Second, learning motivation has a high tendency toward performance - oriented approach and high tendency to avoid performance. This tends to deliberately avoid learning. Third, the level of delayed behavior is high. This is deliberately putting off student activities. Fourth, learning tendency is high in academic anxiety, task value, self efficacy and learning belief are very low. This is a lack of confidence in learning.

• Journal of the Korean School Mathematics Society
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• v.10 no.3
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• pp.369-384
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• 2007

This study examined and compared the level of mathematical anxiety according to the types of students' characteristics based on the former research study showing that there exists a close relationship between characteristics and mathematical anxiety. The subjects of this study are 159 students enrolled in Chungnam Gongju and Kyunggi-do Ahnyang. They were categorized into groups following various standards such as preference index(E-1, S-N, T-F, J-P), ability & disposition, 16 types of characteristics. Then these were tested for types and the level of mathematical anxiety by the factors of mathematical anxiety. The results show that Type E students show the greatest anxiety in learning motivation, and Type N students in the pedagogy of teaching and loaming for the subfactor of mathematical anxiety. Further, Type NT students respond strongly to the pedagogy of teaching and loaming in psychological ability and disposition, which shows that mathematical anxiety and sub-factors of mathematical anxiety are closely somehow related.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.1-9
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• 2020

This study was conducted to investigate the effects of computer attitudes such as anxiety, confidence, preference, usefulness, and computer literacy on their critical thinking ability, targeting college students at unspecified university universities. The period of data collection was from January 10, 2020 to January 17, 2020. A total of 213 people participated in the study. For data analysis, SPSS 18.0 was used for frequency analysis, Pearson correlation, x2 square, and simple regression analysis. As a result of the analysis, the difference of interests under the statistical significance level among general characteristics was Gender (x²=55.7^***, p<0.001), Age (x²=407.5^***, p<0.001), Resident (x²=127.5^***, p<0.001) Family (x²=289.4^***, p<0.001). In the simple regression analysis, computer liking (t=2.102, p<0.05) and computer use ability affected Truth seeking (t=-6.319, p<0.01), computer use ability was affecting analyticity (t=-5.630, p<0.01), computer use ability was affecting systematicity (t=-2.545, p<0.05), computer use ability was affecting maturity under statistical significance (t=-2.583, p<0.05). In conclusion, this study suggests that computer liking and computer use ability affect the sub-factor components of critical thinking disposition, truth seeking, analyticity, systematicity, and maturity, therefore the emphasis of this study is to emphasize that it is desirable to use the computer as a medium of learning based on computer literacy rather than worrying about excessive computer use.

• Journal of the Korean School Mathematics Society
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• v.14 no.1
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• pp.1-29
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• 2011

In this study, we designed and constructed a very low-cost electronic board in order to test its efficiency in the classroom as well as provide an easy-to-follow model for front-line teachers to re-create and utilize for their own academic use. For our sample size, we tested 143 high school first grade students. In mathematical achievement, we found meaningful improvement in both genders but we did not find any meaningful gender differences. In the mathematical disposition test, we also found some meaningful changes in curiosity and flexibility in both genders but did not find any meaningful gender differences either. Based on this study, we propose using our low-cost electronic board system, which is easy to make and effective in mathematical achievement, instead of recently promoted high-cost electronic board systems.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.1-11
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• 2019

The study was to investigation the correlation between critical thinking and problem-solving abilities of 320 dental hygiene students enrolled in H university, J region from June 1 to August 30, 2018. The data was analyzed by ANOVA, pearson's correlation and multiple regression using SPSS 18.0 program. The correlation between critical score 3.36 while problem solving ability score 3.41. The correlation between critical thinking problem-solving abilities of the subjects was statistically significant. The significant variables included problem-solving(${\beta}=0.107$)(p<0.05), academic performance(${\beta}=-0.081$)(p<0.05) with an explanatory power of 52.2%. It is necessary to develop a curriculum and learning method in improvement for critical thinking and problem-solving abilities change in educational environment of dental hygiene students.

• Journal of Integrative Natural Science
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• v.13 no.3
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• pp.97-104
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• 2020

This study suggests the emotion space modeling and emotion inference methods suitable for personalized services based on psychological and emotional models. For personalized emotion space modeling taking into account the subjective disposition based on the empirical assessment of the personal emotions felt by the personalization process of emotion space was used as a decision support tool, the Analytic Hierarchy Process. This confirmed that the special learning to perform personalized emotion space modeling without considering the subjective tendencies. In particular to check the possible reasoning based on fuzzy emotion space modeling and sensitivity for the quantification and vague human emotion to it based on the inherent human sensitivity.

• Research in Mathematical Education
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• v.6 no.2
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• pp.135-143
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• 2002

This study was executed in M elementary school for a week, T elementary school for a week, N high school for a week, and S high school for a week in 2000. There were mathematics teacher interviews, mathematics classroom observations, and student interviews in each school. We can draw the conclusion from this study as follows. Firstly, the teaching of mathematics in both elementary and high school was very good in the standard of mathematical concepts, procedures, and connection. Secondly, it is very good in the standard of mathematics as problem solving, reasoning, and communication. Thirdly, it is not so good in the standard of promoting mathematical disposition. Fourthly, it is good in elementary schools, but not in high schools regarding the standard of assessing students' understanding of mathematics. Fifthly, it is very good in elementary schools, but not so good in high schools regarding the standard of learning environments.