• The Mathematical Education
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• v.56 no.4
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• pp.365-385
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• 2017

This study aims to explore mathematics teachers' pedagogical design capacity. For this purpose, we googled and collected 327 lesson plans for middle-school mathematics and investigated how mathematics teachers plan and design their mathematics lessons through the format and structures, objectives and mathematical tasks, anticipation for students' thinking, and assessment and technology use. The findings from the data analysis suggest as follows: a) all the lesson plans are structured in a very similar way; b) the lesson plans seem to be based on the textbooks exclusively, that is, the mathematical tasks and flow is strictly followed and kept in the lesson plans in the way the textbooks suggested; c) the lesson plans do not include any evidence of what teachers anticipate for students' thinking and would do to resolve the students' issues; and d) the lesson plans do not contain any specific plans to assess students' thinking processes and reasoning qualitatively, and not intend to use technology in order to promote effective teaching and meaningful understanding.

• School Mathematics
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• v.10 no.3
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• pp.463-487
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• 2008

The purpose of this study was to analyze teachers' pedagogical content knowledge on probability. Teachers' pedagogical content knowledge on probability was analyzed in detail into 2 categories: (a) subject matter knowledge, (b) knowledge of students' understanding and misunderstanding. The results showed, in terms of the subject matter knowledge, that the teachers have some probability misconception. And, it showed, in the point of the knowledge of students' understanding, they could not explain why students have difficulties to solve some tasks with regard to probability. This study raised several implications for teachers' professional development for effective mathematics instruction.

• Geomechanics and Engineering
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• v.25 no.4
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• pp.317-330
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• 2021

This paper reports the results of advanced data analysis involving artificial neural networks for the prediction of the unconfined compressive strength of granite using only two non-destructive test indexes. A data-independent site-independent unbiased database comprising 182 datasets from non-destructive tests reported in the literature was compiled and used to train and develop artificial neural networks for the prediction of the unconfined compressive strength of granite. The results show that the optimum artificial network developed in this research predicts the unconfined compressive strength of weak to very strong granites (20.3-198.15 MPa) with less than ±20% deviation from the experimental data for 70% of the specimen and significantly outperforms a number of available models available in the literature. The results also raise interesting questions with regards to the suitability of the Pearson correlation coefficient in assessing the prediction accuracy of models.

• Journal of Korean language education
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• v.25 no.1
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• pp.29-52
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• 2014

The purpose of this paper is to suggest a discourse analysis activity that can be used in the stage after performing tasks in task-based Korean speaking class and show its pedagogical advantages. A discourse analysis activity is an metadiscourse activity in which learners speak what they have spoken. By analyzing discourse and performing tasks again, learners can enhance their fluency and accuracy, make their knowledges in target language more stable and extend them, and develop problem solving skills. Consequently, this facilitates learners' acquisition of Korean language. This paper reviewed theoretical background of proposing discourse analysis activity, suggested the pedagogical advantages of the analysis, and examined discourse analysis activity in Korean speaking class. And it included the discourse sample of learners in actual class.

• The Mathematical Education
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• v.45 no.1 s.112
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• pp.75-96
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• 2006

The purpose of this study was to analyze how elementary pre-service teachers learned the pedagogical content knowledge of mathematics and to understand the challenges and difficulties that they experienced in the course of student teaching. A qualitative case study provided an in-depth description of the whole three weeks of student teaching process. Four pre-service teachers and two mentor teachers participated in this study. Multiple data collection techniques were used; classroom observations, in-depth interviews, document analysis, and researcher's field notes. The results of this study showed how pre-service teachers learn PCK of mathematics in designing mathematics lessons, understanding mathematics learners and delivering mathematics lessons and what are the difficulties and challenges they experienced. Finally this study discussed about some suggestions to pre-service program and future research.

• The Mathematical Education
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• v.47 no.3
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• pp.291-310
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• 2008

This article is based on an international collaborative study that aimed to investigate mathematical preparation of prospective elementary teachers in several selected education systems in East Asia. This article reports the Korean portion of the study. A survey instrument was developed to explore not only prospective teachers' knowledge of elementary mathematics curriculum and their beliefs in their preparation and mathematics instruction but also their subject matter knowledge and pedagogical content knowledge on the topic of fraction division. A total of 291 seniors in 3 universities participated in the survey. The results reveal these prospective teachers' strengths and weaknesses with regard to their knowledge of fraction division, and suggest that content-specific pedagogical knowledge needs to be emphasized in the teacher preparation program.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.61-66
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• 2022

Digital education has emerged all over the world with a new wave of learning innovations and opportunities. Higher education institutions need to develop the digital competence of future specialists and train teachers who are creative individuals, have the skills to use digital technologies, and are able to solve problems, make important decisions, effectively manage their own lives, and realize their potential. In this aspect, the strategy for evaluating the results of the educational achievements of future specialists is important. The purpose of the article is to analyze the use of distance technologies in higher education institutions in the context of the development of a system for assessing the quality of education. Methodology implies the application of theoretical methods of analysis.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.151-155
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• 2023

The main purpose of the article is to analyze the practice of overcoming during distance learning of students-future teachers of a preschool education institution. The key aspects of practical activities to counter a stressful situation during distance learning of students-future teachers of a preschool education institution are identified. The research methodology includes a number of methods designed to analyze the practice of coping with stress during distance learning of students. The results of the study include the definition of the main elements of practical activities to counteract stress and stressful situations of different scales in the distance learning of students-future teachers of a preschool education institution. Further research requires the analysis of international experience in dealing with a stressful situation during distance learning of students.

• The Mathematical Education
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• v.44 no.1 s.108
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• pp.67-85
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• 2005

This study investigated elementary teachers' subject matter knowledge and pedagogical content knowledge of fractions. The subject for data collection were 12 in-service elementary teachers and data were collected through written test problems. The finding imply that most elementary teachers understand fraction construct as part-whole, show low level of understanding of operator, ratio, and measurement constructions and word problem posing, using models, and developing the algorithms to divide fractions. The research results indicates that experienced teachers possess poor knowledge of fractions against novice teachers.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.347-357
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• 2022

The aim of the study is to model demand for full-time Bachelor's Degree Programs in Hospitality and Catering, taking into account the influence of the main determinants in the COVID-19 pandemic. The research used methods of algorithms, correlation and regression analysis, ANOVA, graphical method, deduction and induction, abstraction, etc. It was found that the demand for full-time Bachelor's Degree Programs in Hospitality and Catering is price elastic. It has been argued that it is useful to consider both price and non-price determinants when modelling demand for full-time Bachelor's Degree Programs in Hospitality and Catering. It is proved that the main determinants of demand for full-time Bachelor's Degree Programs in Hospitality and Catering are full-time tuition fee, maximum government order, license volume and Consolidated Ranking of a higher education institution (HEI). In this case, the applicant decides to enrol in a full-time Bachelor's Degree Program in Hospitality and Catering, guided by the optimal ratio of tuition fee and the prestige of the HEI.