• Journal of Gifted/Talented Education
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• v.17 no.1
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• pp.1-26
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• 2007

The purpose of this study was to develop a math test for identification of the mathematically gifted on the basis of their math creative problem solving ability and to evaluate the goodness of the test. Especially, testing reliability and validity of scoring method on the basis of fluency only for evaluation of math creative problem solving ability was one of the main purposes. Ten closed math problems and 5 open math problems were developed requiring math thinking abilities such as intuitive insight, organization of information, inductive and deductive reasoning, generalization and application, and reflective thinking. The 10 closed math test items of Type I and the 5 open math test items of Type II were administered to 1,032 Grade 7 students who were recommended by their teachers as candidates for gifted education programs. Students' responses were scored by math teachers. Their responses were analyzed by BIGSTEPS and 1 parameter model of item analyses technique. The item analyses revealed that the problems were good in reliability, validity, item difficulty and item discriminating power even when creativity was scored based on the single criteria of fluency. This also confirmed that the open problems which are less-defined, less-structured and non-entrenched were good in measuring math creative problem solving ability of the candidates for math gifted education programs. In addition, it was found that the math creative problem solving tests discriminated applicants for the two different gifted educational institutions.

• Therapeutic Science for Rehabilitation
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• v.12 no.3
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• pp.45-59
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• 2023

Objective : This study aims to identify the status of education in cognitive rehabilitation (CR) in occupational therapy departments of Korean universities/colleges and to analyze the educational needs for professional competencies. Methods : This study was conducted by distributing a questionnaire to professors. The questionnaire extracted items related to professional competencies from the results of a previous Delphi study. A total of 39 respondents from 32 (51.6%) of 62 universities/colleges were analyzed. The questionnaire analysis was conducted using Excel 2010 and SPSS 18.0 to analyze the Borich requirements and the priority of education through the Locus for focus model. Results : The priority of competency in CR was followed by "clinical reasoning ability to explain cognitive problems from the occupational performance perspective", "ability to manage insurance billing for CR", "ability to establish a CR plan based on outcome evaluation", "ability to perform occupation-oriented CR", and "ability to solve problems that occur during CR evaluation and intervention". In the Locus for focus model, items such as occupation-based cognitive assessment, intervention, and skills for documentation were high priorities for education. Conclusion : This study is expected to reflect educational competencies for CR and establish a plan for CR specialists through continuing education.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.240-259
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• 2020

Analyzing network traffic is the basis of dealing with network security issues. Most of the network security systems depend on the feature selection of network traffic data and the detection ability of malicious traffic in network can be improved by the correct method of feature selection. An FAFS method, which is short for Fuzzy Association Feature Selection method, is proposed in this paper for network malicious traffic detection. Association rules, which can reflect the relationship among different characteristic attributes of network traffic data, are mined by association analysis. The membership value of association rules are obtained by the calculation of fuzzy reasoning. The data features with the highest correlation intensity in network data sets are calculated by comparing the membership values in association rules. The dimension of data features are reduced and the detection ability of malicious traffic detection algorithm in network is improved by FAFS method. To verify the effect of malicious traffic feature selection by FAFS method, FAFS method is used to select data features of different dataset in this paper. Then, K-Nearest Neighbor algorithm, C4.5 Decision Tree algorithm and Naïve Bayes algorithm are used to test on the dataset above. Moreover, FAFS method is also compared with classical feature selection methods. The analysis of experimental results show that the precision and recall rate of malicious traffic detection in the network can be significantly improved by FAFS method, which provides a valuable reference for the establishment of network security system.

• Journal of Gifted/Talented Education
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• v.21 no.4
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• pp.945-959
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• 2011

Creativity is always important in science gifted education. There are many research results about enhancing the creativity. One of the ways of enhancing students scientific' creativity is to let them think and research like scientists so that they can follow how scientists find problems and solve them. So in this study, scientific creative elements were extracted from the Pauling's detailed examples of research process by using many documents. Abductive reasoning, paradox, changing the perspective, modeling, simplifying, converging thinking, diverging thinking, and metaphorical thinking are thinking methods that were extracted from the Pauling's research process. Repeated experiment, co-experiment, using both theories and experiments, and social obligation as a scientist are research methods. Scientific creative elements that were extracted suggest some direction that have more scientific creativity, more ability to find problems, and more ability to form theories in science education or in science gifted education.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.280-292
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• 2012

Cognitive-pragmatic language ability decreases during the normal aging process. Evaluating the ability might be useful in testing predicting cognitive level and diseases such as dementia. The aim of this study is to analyze various assessment protocols for normal aging, and evaluate the content validity of the currently developing cognitive-pragmatic language test domains and items. Content Validity Index(CVI) was calculated based on ratings judged by 17 experts including speech-language pathologists and clinical psychologists. As a result, it was found that CVIs of all 7 domains including attention, memory, organization, reasoning, problem solving, executive function, pragmatic language were above .75. It was concluded that the test items contained the appropriate content validity to assess cognitive-pragmatic language for normal aging.

• International Journal of Quality Innovation
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• v.6 no.3
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• pp.38-55
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• 2005

Consumption has generally become more fragmented, hedonic and individual specific, satisfying not only functional but also emotional needs. In parallel, customer satisfaction is now thought to be both a cognitive and affective response, and the closely related concept of job satisfaction is commonly seen as an emotional reaction. The reasoning within quality management does, however, still lean heavily toward cognitive judgements (i.e. performance ratings), the emotional component clearly being under explored. Further, performance variables have shown not to be significant in predicting satisfaction for certain 'experience products', the effect fully mediated by emotions. As a consequence a cognitive judgement based quality concept has lost its ability to predict satisfaction, which clearly contradicts with the modem quality definition, stressing quality as the ability to satisfy the customer. Emotions have however entered the quality discourse and it has been proposed that having customers that are merely feeling satisfied will not suffice. Instead, there has been a plethora of executive exhortations in the trade press calling on business to 'delight the customer'. Strategies for doing so have however usually been imprecise and unclear, and the different drivers of delight and satisfaction are not well explored. This paper aims to complement the previous cognitive dominance by exploring the multiple emotional responses involved in customer satisfaction. A conclusion being that we currently are measuring something, in terms of satisfied, that is more or less independent of what we aim for, in terms of delight. It is also most likely that - depending on the situation, product, and person - other positive and negative emotions are more important outcomes of purchase and usage than merely satisfaction. It is questioned whether a single, summary response such as satisfaction is feasible or even desirable.

• Education of Primary School Mathematics
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• v.13 no.1
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• pp.13-24
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• 2010

Mathematics educators oriented to reform-based curricular have asserted that mathematics teachers should lead instructions where all students in their classrooms are able to participated. In this paper, some practices for them to implement it are discussed. Before explaining them, some discussions are made about students ability to construct knowledge. One of them is that teachers should know different learners construct different understandings because of their differences of prior knowledge and reasoning ability. Also, it was discussed that teachers consider classroom environments, assigning children's sitting and tasks in the light of learning. The reason to state them is that perspectives of them should be changed. Finally, "Teacher's careful listening to learners' responses", "Why do think in that way?, How do you know?, What is it meant?", "accepting ideas from all learners", "no supporting a particular idea", "utilizing waiting time", and "teacher's responses to learner's errors and mistakes" are discussed as practices for letting all learners be participated in the mathematics instruction.

• School Mathematics
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• v.13 no.1
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• pp.1-17
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• 2011

This study investigated the Chinese national university entrance examination (Gaokao) in mathematics administered in 2009 and 2010 to draw out some implications on the College Scholastic Ability Test (CSAT) in mathematics of Korea. To evaluate the attainments of basic mathematical skills and multilateral abilities required for further studies in university, the Gaokao mathematics is set in two forms(Art/Science), based on the Chinese national mathematics curriculum. The types of items in the Gaokao mathematics are multiple-choice, single-answer, and write-out-answer. The mathematical abilities that the Gaokao mathematics evaluates are mathematical reasoning, operation, geometrical imagination, application, and creativity. As a result, some implications on the Korean CSAT are drawn out in terms of the level of difficulty, the types of items, the arrangements, and the scores of items.

• Magazine of the Korean Society of Agricultural Engineers
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• v.29 no.2
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• pp.53-63
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• 1987

Due to their wide range of application, deterministic comprehensive hydrologic models using digital computers have been developed in all countries of the world and researches are being undertaken for their appropriate applications. The aim of this study has been to demonstrate the practical implementation of a physically based distributed hydrologic model, the USDAHL-74 model and to investigate its ability to simulate the long term estimate of water balance quantities in a Korean mountainous watershed. Application of the model to Dochuk watershed indicates the following results. 1.Since the USDAHL-74 model includes all the major components of the hydrologic cycle in agricultural watersheds, thus is comprehnsive, the model seems to have a wide range of application from the fact that simulation results obtained are not only runoff volumes m various time units but their spatial variation as well as even soil moisture within the watershed. 2.An approximate calibration to determine the parameter values in the model using various data obtained from D0chuk shed shows that the simulation error of yearly runoff volume is only 0.6 % and a correlation coefficient between observed daily runoff volume and simulated one is 0.91 in all calibrated period.3.As a verification test of the model, runoff volumes are simulated using 1986 year data without changing the parameter values determined by 1985 year data. The tests show that the USDAHL-74 model is a flexible tool and that realistic production to simulate the long term estimate of runoff in Korean mountainous watershed could be obtained using only a short period of calibration.4. Despite of the encouraging results, there still remain minor problems concerning the practical application of the model to improve the result of simulations. Some of these are the small descrepancies between observed and simulated daily runoff volume appeared in the vicinity of peaks and the recession of1 the daily hydrographs and the model performance for the frozen ground and melting process in the model. 5. Alough the use of parameter with physical significance and the ability to improve calibrations on the basis of physical reasoning represents advantages in the simulation for ungaged watersheds, further researches are needed to use the USDAHL-74 mode to simulate runoff in ungaged watersheds.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.287-308
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• 2023

After launching its service in November 2022, ChatGPT has rapidly increased the number of users and is having a significant impact on all aspects of society, bringing a major turning point in the history of artificial intelligence. In particular, the inference ability of large language models such as ChatGPT is improving at a rapid pace through prompt engineering techniques. This reasoning ability can be considered as an important factor for companies that want to adopt artificial intelligence into their workflows or for individuals looking to utilize it. In this paper, we begin with an understanding of in-context learning that enables inference in large language models, explain the concept of prompt engineering, inference with in-context learning, and benchmark data. Moreover, we investigate the prompt engineering techniques that have rapidly improved the inference performance of large language models, and the relationship between the techniques.