• Communications of Mathematical Education
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• v.29 no.4
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• pp.723-743
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• 2015

In this research, The objective of the present study was to develop a preliminary diagnostic worksheet for use in consultations for learning mathematics. In order to achieve this, the worksheet was constructed with questions designed to assess the students. Through standardization, diagnostic worksheets for primary school students in grades 5 and 6 and secondary school students in grades 7 and 8 were produced. The diagnostic worksheet was divided into three sections, consisting of the psychology of learning mathematics in section 1, the methodology in learning mathematics in section 2, and personal preferences in learning mathematics in section 3. The psychology of learning mathematics was composed of questions on factors such as, "confidence in math learning ability," "math anxiety," and "attitude in learning mathematics." Moreover, factors in methodology in learning mathematics were "self-management in learning mathematics" and "math learning strategies." Those for personal preferences in learning mathematics asked about "motivation" and "preferences" with questions about "math learning habits" and "management methods for learning math." This diagnostic worksheet can be used as basic material in consulting students on learning mathematics.

• Journal of Educational Research in Mathematics
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• v.26 no.2
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• pp.205-224
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• 2016

Nowadays technological instruments are advanced to measure brain waves called EEG. Also, it is important to find some facts that cause students to have mathematic anxiety (MA) and to provide remedy programs to lessen their MA in order to help students cure MA that could contribute to negative self-efficacy toward mathematics and mathematical learning. To find how they change the MA level, a small group of 11 high school students in Suwon city participated for ten weeks at the remedy program based on students' levels of MA diagnosed by MASS instrument (Ko, & Yi, 2011) and proofread by 8 advisors who worked in related research areas. The results showed that the remedy program was effective to lessen students' MA and it should provide a long term period since some negative experiences were accumulated for a long time of his or her past schooling by others such as teachers, peers, and parents. EEG showed that students got better scores on a percent of correct answers and a reaction time and some student' EEG from a group HMA became smaller heights and width in comparison of the other groups.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.482-487
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• 2008

Animated Character는 컴퓨터와 인간 간의 상호작용을 증진시킬 수 있는 방편으로 널리 연구가 이루어지고 있다. 본 연구에서는 Animated Character의 감시가 과제 난이도에 따른 수행과 정서에 미치는 영향을 알아보고자 하였다. 본 실험에서 실험 참가자들은 통제 집단과 감시 Animated Character 조건에 무선으로 배정되어 난이도 세 수준의 글자계산 과제를 수행하였다. 또한 정서에 미치는 영향을 알아보기 위해 상태 특성 자기평가 불안척도(State-Trait Anxiety Inventory; STAI)를 사용하였다. 실험참가자들의 수행은 과제의 정답률과 반응시간을 측정을 통해 평가되었다. 실험결과 감시 Animated Character 조건은 통제 조건 보다 유의미하게 높은 불안(Anxiety)의 증가가 있었다. 또한 감시 Animated Character 조건은 높은 난이도의 글자 계산 과제에서 통제 조건 보다 유의미하게 높은 수행을 보였다. 본 연구는 Animated Character의 감시가 과제 난이도에 따라 다른 영향을 가진다는 것을 밝힘으로써 향후 감시 시스템 등에 Animated Character를 적용함에 있어 구체적인 가이드라인을 제공한다.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.315-324
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• 2017

The purpose of this study is to help with education by applying the learning clinic program to the maladjusted children to improve the emotional stability and academic achievement. In order to find the components of the learning clinic program, we have classified self efficacy, learning motivation, anxiety, and academic stress as emotional factors and the results of Korean language, mathematics, sociology and science as academic achievement factors to examine the effects of the program. The results obtained in this study are followings. Firstly, there was significant difference in self efficacy and anxiety between boys and girls among emotional factors, and there was significant difference in math between boys and girls among academic achievement factors. Secondly, after applying the learning clinic program, significant difference is found in all factors such as self efficacy, learning motivation, anxiety and academic stress, and there was also a significant difference in Korean language, mathematics, sociology and science among academic achievement factors. In conclusion, the learning clinic program was helpful to maladjusted children by improving emotional stability and academic achievement.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.831-846
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• 2010

The Purposes of this study were to compare the level of study habits and test anxiety between gifted middle-school students and non-gifted and to find out the correlation between study habits and test anxiety in two groups. The total participants of this study were 437 middle school students. One hundred eighty three students (127 boys, 56 girls) belonged to gifted group who were enrolled in Cyber Education Center for Math & Science Gifted Students of KAIST in Daejeon. And two hundred fifty four (128 boys, 126 girls) were non-gifted group who were from the middle school in Seoul City and Gyeonggi province. The results revealed that the level of study habits of gifted middle school students was higher than that of non-gifted. And gifted group felt lower level of test anxiety than non-gifted group. Additionally gifted boys showed significantly higher level of study skills application behavior than gifted girls.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.441-452
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• 2022

Training using metacognition in a learning environment is one of the topics that have been continuously studied since the 1990s. Metacognition can be broadly divided into declarative metacognitive knowledge and procedural metacognitive knowledge (metacognitive skills). Accordingly, metacognitive training has also been studied focusing on one of the two metacognitive knowledge. The purpose of this study was to examine the role of metacognitive skills training in the context of mathematical problem solving. Specifically, the learner performed the prediction of problem difficulty, estimation of problem solving time, and prediction of accuracy in the context of a test in which problems of various difficulty levels were mixed within a set, and this was repeated 5 times over a total of 5 weeks. As a result of the analysis, we found that there was a significant difference in all three predictive indicators after training than before training, and we revealed that training can help learners in problem-solving strategies. In addition, we analyzed whether there was a difference between the experiment group and control group in the degree of test anxiety and math achievement. As a result, we found that learners in the experiment group showed less emotional and relationship anxiety at 5 weeks. This effect through metacognitive skill training is expected to help learners improve learning strategies needed for test situations.

• 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.

• Communications of Mathematical Education
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• v.31 no.1
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• pp.17-48
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• 2017

This case study examined mathematics anxiety of a public high school sophomore who was unable to perform well in mathematics but later overcame his fear of mathematics. In this study, he showed high levels of mathematics anxiety in the assessment tools that evaluate mathematical anxiety factors. Cognitive and behavior treatments were carried out to alleviate his anxiety. First, cognitive treatments that were implemented include: understanding his own problems, writing down his thoughts on a record sheet, and changing intermediate and core beliefs. This paper explored cognitive and affective changes and reactions during the treatment process. Second, behavioral treatments that were conducted include: the divided-page method and peer tutoring. The divided-page technique involves the test subject to write down and solve his problems on a note to see what kind of cognitive and affective changes occur during the process. This paper also explored how Su-chul, an overly competitive student, changed and reacted cognitively and affectively through peer tutoring. The results revealed that Su-chul's exam anxiety, as well as other factors, has decreased. Moreover, he regained his self-confidence by solving math problems that he had felt difficult. His competitive attitude also has turned into a cooperative and thoughtful one.

• Culinary science and hospitality research
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• v.18 no.4
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• pp.59-69
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• 2012

This study examines the role of mathematics anxiety as a mediator between self efficacy and mathematics skills using a series of regression analyses suggested by Baron RM & Kenny DA(1986). The participants include college students who enrolled in the Food Service Production and Operation course in a department of hotel and restaurant management at a college in the United States. Descriptive analysis, principal component analysis, reliability test, and a series of regression analyses were used for data analysis using SPSS 19.0. In order to collect data for the study, General Self Efficacy Scale(GSES) and Math Anxiety Rating Scale(MARS) were utilized, and they turned out to be reliable(${\alpha}$=.906 and ${\alpha}$=.890, respectively). A significant negative relationship was found between self efficacy and mathematics anxiety. In addition, it was found that self-efficacious students performed better mathematics skills than those who had lower level of self efficacy. However, the relationship was no longer significant when the concept of mathematics anxiety was added, which satisfies the condition of mediation.

• School Mathematics
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• v.2 no.2
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• pp.489-508
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• 2000

With the increased use of computational technology, many educators question about spending large amount of class time for dealing with computational algorithms in elementary school math classroom at the expense of more holistic aspects of mathematics such as number sense, spatial sense, problem solving and data management. This paper introduce the new method for learning addition and subtraction so called ‘Mrs. Weill’s Hill’, which is believed as a suitable remedial method for children with mathematical learning disabilities, with perceptual problems, or with limited working memory capacities. This method provides children with external memory strategies by allowing them to solve the addition and subtraction problems in a stage by stage fashion with as many steps as they require. It also gives the child greater flexibility in the solution process and thus helps reduce anxiety.