• Research in Mathematical Education
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• v.11 no.2
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• pp.127-141
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• 2007

This paper compares and analyzes mathematics teachers' understanding of students' mathematical comprehension after experiences with the Cognitively Guided Instruction (CGI) or the Development of Mathematical Ideas (DMI) teaching strategies. This report sheds light on current issues confronted by the educational system in the context of mathematics teaching and learning. In particular, the declining rate of mathematical literacy among adolescents is discussed. Moreover, examples of CGI and DMI teaching strategies are presented to focus on the impact of these teaching styles on student-centered instruction, teachers' belief, and students' mathematical achievement, conceptual understanding and word problem solving skills. Hence, with a gradual enhancement of reformed ways of teaching mathematics in schools and the reported increase in student achievement as a result of professional development with new teaching strategies, teacher professional development programs that emphasize teachers' understanding of students' mathematical comprehension is needed rather than the currently dominant traditional pedagogy of direct instruction with a focus on teaching problem solving strategies.

• Journal of Multimedia Information System
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• v.4 no.4
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• pp.243-248
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• 2017

In a basic engineering design class, first year engineering department students learn about engineering design relevant theories and carry out simple projects in teams. By doing a group project in this subject, students develop basic skills such as creativity, teamwork, communication, and problem solving. Before, class proceeded in a way where teams were randomly configured in the beginning of semester and students began working on their project immediately. However, this research introduces a new method where at the beginning of the semester, students are assigned group assignments. Teammates are randomly chosen and constantly switched so that students get a chance to work with different people and experience diverse styles and characteristics. Then, they autonomously form into teams with people they work best and carry out their project. We present the behavior of a monkey robot that recognizes emotions as a case of applying the proposed method. The feedback from the students suggest that this proposed team forming method serves to be effective especially since students who were not aware of other students' characteristics can get to know one another better and form a productive team.

• Journal of the Korean School Mathematics Society
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• v.6 no.1
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• pp.1-17
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• 2003

In this paper, we study the methods of improving an ability of a creative solving mathematical problem belonging to an educational system which every province office of education has adopted for the mathematically talented students. Especially, we give an attention on a preferential reaction in teaching styles according to student's LQ., the relationship between student's LQ. and an ability of creative solving mathematical problems, and seeking for an appropriative teaching methods of the improvement ability of a creative solving problem. As results, we have the followings; 1. The group having excellent students who have a higher intelligential ability prefers inquiry learning which is composed of several sub-groups to a teacher-centered instruction. 2. The correlation coefficient between student's LQ. and an ability creative solving of mathematical is not high. 3. Although the contents and the model of thematic inquiry learning don't have a great influence on the divergent thinking (ex. fluency, flexibility, originality), they affect greatly the convergent thinking - a creative mathematical - problem solving ability. Accordingly, our results show that we should use a variety of mathematical teaching materials apart from our regular textbooks used in schools to improve a creative mathematical problem solving ability in the process of thematic inquiry learning. Also we can see that an inquiry learning which stimulates student's participation and discussion can be a desirable model in the thematic mathematical classroom activities.

• Journal of The Korean Association For Science Education
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• v.22 no.1
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• pp.132-140
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• 2002

The purpose of this study was to find the influence of students' cognitive styles and cognitive levels on chemistry problem solving. 322 11th grade students were administered Group Embedded Figures Test(GEFT), Group Assesment of Logical Thinking(GALT), and chemistry problem solving task about mole and stoichiometry. Chemistry task was made of ten items, 5 items of them include misleading factor(irrelevant information). The students who are field-independent and in formal operational stage got higher scores than those who are field-dependent and in transitional stage. In 5 items which have no misleading factor GALT had significantly contributed to the regression equation, while in 5 items which have misleading factor GEFT was significant contribution to the regression equation. In two items of misleading items, students who used the irrelevant information were significantly more field dependent than those who did not use this information.

• Korean Journal of Child Studies
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• v.26 no.6
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• pp.173-187
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• 2005

This study examined relations between infants' strategies for emotional regulation and maternal responsiveness. Fifty 24-month-olds were observed for six kinds of emotional regulation strategy during four negative emotion-eliciting tasks; their mothers were observed for five styles of maternal responsiveness during toy-centered free play. Infants used different strategies according to the kinds of negative emotioneliciting tasks; their strategies correlated with maternal responsive styles. In the anger-eliciting tasks, infants used "distraction" and "self soothing." In the fear-eliciting tasks, they used "avoidance" and "problem solving." Infants who received more negative feedback from their mothers used the "irritation" strategy. Infants who got received more positive feedback from their mother used the "getting reference" strategy.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.1-11
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• 2020

As software and artificial intelligence education became more and more important, in December 2019, the Ministry of Science and ICT announced plans to expand software and AI education to mandatory education in elementary and secondary schools by 2022. In addition to elementary and secondary schools, most universities are actively engaged in software education for computer non-majors, but research on coding education for computer non-majors is insufficient. The purpose of this paper is to find an efficient teaching and learning method for coding education for computer non-majors. Nowadays, college students, called Millennial and Generation Z, prefer visual information and are familiar with computers as digital natives. Based on these characteristics, this study examined the visual literacy and thinking styles of college students and then examined whether the students' visual literacy and thinking styles influenced coding-based problem solving in coding subjects. Based on this, this paper proposes an alternative to do programming education more efficiently for students who are new to coding.

• Journal of the Korean Society of Earth Science Education
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• v.10 no.1
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• pp.50-61
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• 2017

The purpose of this study is to analysis eye tracking for high school students' learning styles in the process of solving in the behavioral domains of the College Scholastic Ability Test on Earth Science I. The subjects of this study were 50 students from two classes out of 4 classes in E high school in Chungcheong province. Among them, we conducted experiments by randomly sampling 2 students of each type of learning based on the criteria that they had not encountered the problem of Earth Science I from the past two years. The findings indicate that the item correctness rate of divergers, assimilators, convergers, and accommodators were higher in the knowledge domain, application domain, knowledge-understanding domain, and understanding domain. This confirms that there is a difference among the four learning styles in the level of achievement according to the behavioral areas of the assessment questions. The latter finding was that the high eye-share of AOI 2 appeared higher than AOI 1, 3, 4 in the course of solving the problems. This is because the four types of learners pay more careful attention to the AOI 2 area, which is the cue-or-information area of problem solving, that is, the Table, Figure, and Graph area. Therefore, in order to secure the fairness and objectivity of the selection, it is necessary that an equal number of questions of each behavioral domain be selected on the Earth Science I Test of the College Scholastic Ability Test in general. Besides, it seems to be necessary that the knowledge, understanding, application, and the behavior area of the inquiry be highly correlated with the AOI 2 area in development of test questions.

• Journal of Educational Research in Mathematics
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• v.27 no.3
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• pp.391-410
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• 2017

This study aims to analyze mathematically gifted students' characteristics of generalization and justification for a given mathematical task and induce didactical implications for individual teaching methods by students' learning styles. To do this, we identified the learning styles of three mathematically gifted 6th graders and observed their processes in solving a given problem. Paper-pencil environment as well as dynamic geometrical environment using Geogebra were provided for three students respectively. We collected and analyzed qualitatively the research data such as the students' activity sheets, the students' records in Geogebra, our observation reports about the processes of generalization and justification, and the records of interview. The results of analysis show that the types of the students' generalization are various while the level of their justifications is identical. Futhermore, their preference of learning environment is also distinguished. Based on the results of analysis, we induced some implications for individual teaching for mathematically gifted students by learning styles.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.1046-1057
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• 2013

The purpose of this study was to establish basic materials for providing a learning type specific simulation education through identifying the differences in self-efficacy, problem solving ability and clinical competence before and after a learning type specific simulation education, with 145 3rd-year nursing students at a university as the study subjects. This study is a single-group, before-and-after designed experiment for verifying the learning type specific effects after simulation education. As a result of the experiment on the learning types of nursing students, the adaptors were seen to be the most, and the after-simulation education problem solving ability (F=5.015, p = 0.02) and the after-education clinical competence (F=3.288, p = 0.02) showed statistically significant differences. From which, based on the fact that the convergers were seen to be significantly higher than the adaptors and the divergers were higher than the adaptors in regard to problem solving ability, and the fact that the convergers were seen to be significantly higher than the adaptors in regard to clinical competence, it was possible to ascertain that there are differences in the effects of learning type specific simulation education. However, self-efficacy did not show any statistically significant differences. Based on these results, it can be expected that a simulation education by learning types can be provided.

• Journal of Information Technology Applications and Management
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• v.26 no.5
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• pp.27-39
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• 2019

The Internet of Things (IoT) is a new paradigm that is revolutionizing computing. It is intended that all objects around us will be connected to the network, providing "anytime, anywhere" access to information. This study introduces IoT with Kolb's learning style in order to enhance the learning experience especially for inclusive education for primary and secondary schools where delivery of knowledge is not limited to physical, cognitive disabilities, human diversity with respect to ability, language, culture, gender, age and of other forms of human differences. The article also emphasizes the role of learning style as a discovery process that incorporates the characteristics of problem solving and learning. Kolb's Learning Style was chosen as it is widely used in research and in practical information systems applications. A consistent pattern of finding emerges by using a combination of Kolb's learning style and internet of things where specific individual differences, learning approach differences and IoT application differences are taken as a main research framework. Further several suggestions were made by using this combination to IoT architecture and smart environment of internet of things. Based on these suggestions, future research directions are proposed.