• Research in Mathematical Education
• /
• v.14 no.1
• /
• pp.1-10
• /
• 2010

The paper focuses on a type of mathematics competence noted as synthetic. It is needed for success in multiple choice competition problems and it is crucial for the further development of advanced school students. The concept of synthetic competence includes a large fraction of mathematical competences, but also competences and skills related to informatics and linguistics. The general structure of a multiple choice competition is considered as the first level of assessment of the mathematics component of the synthetic competence. As the second level under consideration is the set of complex tasks in a competition test any of which is a bouquet of ideas. Our standpoint on the didactic specifics and goals of the two levels in perspective of the gifted education is briefly presented in the article and some examples are given.

• Journal of Fashion Business
• /
• v.10 no.4
• /
• pp.140-150
• /
• 2006

The purpose of this study was to examine affecting the addictive buying behavior toward fashion luxury products. 227 female college students were who purchased fashion luxury products surveyed for this study. For data analysis, descriptive statistics, factor analysis, and multiple regression were used. As the results, addictive buying toward luxury products was classified into three factors: impulse addictive, money addictive, and psychological addictive. Also, consumers' individuality pursuit was classified into four factors: unique choice, non-similarity choice, individual choice and non-social interest. Multiple regression results revealed that impulse buying, stress, and unique choice accounted for 38% of the explained variance in addictive buying toward luxury products. Also, regression results indicated that impulse buying, stress, unique choice and reference group accounted for 38% of the explained variance in impulse addictive buying. Finally, regression results pointed out that unique choice and impulse accounted 24% of the explained variance in psychological addictive buying. Based on these results, fashion social responsibility marketing strategies would be suggested.

• Journal of The Korean Association For Science Education
• /
• v.34 no.1
• /
• pp.1-9
• /
• 2014

This study aimed to explore the over-efficacy in problem solving and overconfidence of knowledge of students performing assessments in two different test formats: multiple-choice and supply-type. Two hundred and four female middle school students participated in this study. Multiple-choice and supply-type formats of tests on photosynthesis were used, and each item contained scales indicating one's self-efficacy on problem-solving and confidence of knowledge. The results showed that the correlation coefficients of performance between the two different assessment formats were less than 0.5 and the correlation coefficients between efficacy/confidence and actual performance were less than 0.45. Moreover, students tended to exhibit more over-efficacy and overconfidence in multiple-choice formats. The percentage of over-efficacy and overconfidence was higher in the group that completed the multiple-choice test first followed by the supply-type assessment than in the group that started with the supply-type followed by the multiple-choice assessment. From this study, it can be suggested that more use of supply-type assessment is required in science education. If test administrators require the combination of both multiple-choice and supply-type in an assessment, the supply-type assessment format should come first so that students can maintain the appropriate level of efficacy and confidence. In addition, science educators need to develop new learning programs to enhance students' self-monitoring skills of their problem-solving ability and knowledge.

• Journal of applied mathematics & informatics
• /
• v.42 no.2
• /
• pp.257-281
• /
• 2024

In real life, a decision-maker can assign multiple values for pairwise comparison with a certain confidence level. Studies incorporating multi-choice parameters in multi-criteria decision-making methods are lacking in the literature. So, In this work, an extension of the Best-Worst Method (BWM) with multi-choice pairwise comparisons and multi-choice confidence parameters has been proposed. This work incorporates an extension to the original BWM with multi-choice uncertainty and confidence level. The BWM presumes the Decision-Maker to be fully confident about preference criteria vectors best to others & others to worst. In the proposed work, we consider uncertainty by giving decision-makers freedom to have multiple choices for preference comparison and having a corresponding confidence degree for each choice. This adds one more parameter corresponding to the degree of confidence of each choice to the already existing MCDM, i.e. multi-choice BWM and yields acceptable results similar to other studies. Also, the consistency ratio remained low within the acceptable range. Two real-life case studies are presented to validate our study on proposed models.

• The Journal of Korean Association of Computer Education
• /
• v.23 no.1
• /
• pp.29-36
• /
• 2020

Various items were used as evaluation tools that identify the student's abilities accurately to confirm the completion of learning. Among them, the multiple choice item has the advantages of high objectivity and reliability in scoring, but it cannot remove the factor of guessing. In this paper, the multiple choice items are classified into two types according to the relationship between the questionnaire and the choices. One is the type used in the classical test theory with the probability of guessing 1/k for k choices and the other is the novel proposed type which introduces the concept of partial knowledge. In the proposed type, the probability of guessing when the number of knowledge i is (i+1)/k for k choices. Based on the assumptions of the previous theories about multiple choice items, we derive the guessing parameter about the proposed type. And we analyzed the effect of the guess on the correct answer in the existing type and the proposed type. This shows that the proposed type has more question guessing than the existing type.

• Communications of Mathematical Education
• /
• v.22 no.4
• /
• pp.489-503
• /
• 2008

It is not an easy matter to develop problems which help students understand mathematical concepts correctly and precisely. The aim of this paper is to review the merits and demerits of three problem types (i.e. one answer problems, multiple choice problems and proof problems) and to suggest some points that should be taken into consideration in problem making. First, we presented the merits and demerits of three types of problems by examining actual examples. Second, we discussed some examples of misleading problems and the ways to make desirable ones. Finally, on the basis of our examination and discussion, we suggested some points that should be kept in mind in problem making. The major suggestions are as follows; i) In making one answer problems, we should consider the possibility of sitting a solution by wrong precesses, ii) In formulating multiple choice tests which are layered for their easiness of grading, we should take into account the importance of checking whether the students are fully understanding the concepts, iii) We may depend on the previous research result that multiple choice tests for proof problems can be helpful for the students who have insufficient math background. Besides those suggestions, we made an overall proposal that we should endeavor to find ways to implement the demerits of each problem type and to develop instructive problems that can help students understanding of math.

• Journal of Distribution Science
• /
• v.12 no.3
• /
• pp.17-24
• /
• 2014

Purpose - This study investigated the main variables of consumer food choice motive and how they affect attitude and purchase intention toward organic foods. The study involved a multiple regression analysis to verify the influence of food choice motive on attitude toward organic food. Research Design, Data, and Methodology - Data was collected through surveys of 280 students and ordinary citizens in Seoul and the Gyeonggi region, using sampling. A multiple regression analysis was performed to confirm the impact of food choice motive on attitude toward organic food, and a regression analysis was performed to identify the impact of attitude toward organic food on purchase intention. Results - Health and environment, among food choice motives, had significant positive influence on attitude toward organic food, whereas convenience, price, and familiarity had no impact. Attitude toward organic food had significant positive influence on organic food purchase intention. Conclusions - As this study identified the impact of organic food choice motive, it may provide baseline data for marketing strategies, to understand consumer attitude toward organic food and purchase intention, and to satisfy consumer needs.

• Journal of Korean Institute of Industrial Engineers
• /
• v.9 no.2
• /
• pp.3-8
• /
• 1983

The multiple choice knapsack problem is modified. To solve this modified multiple choice knapsack problem, Lagrangian relaxation is used, and to take advantage of the special structure of subproblems obtained by decomposing this relaxed Lagrangian problem, a modified ranking algorithm is used. The K best rank order solutions obtained from each subproblem as a result of applying modified ranking algorithm are used to formulate restricted problems of the original problem. The optimality for the original problem of solutions obtained from the restricted problems is judged from the upper bound and lower bounds calculated iteratively from the relaxed problem and restricted problems, respectively.

• Journal of Korean Institute of Industrial Engineers
• /
• v.40 no.4
• /
• pp.396-403
• /
• 2014

The multi-divisional knapsack problem is defined as a binary knapsack problem where each mutually exclusive division has its own capacity. In this paper, we present an extension of the multi-divisional knapsack problem that has generalized multiple-choice constraints. We explore the linear programming relaxation (P) of this extended problem and identify some properties of problem (P). Then, we develop a transformation which converts the problem (P) into an LP knapsack problem and derive the optimal solutions of problem (P) from those of the converted LP knapsack problem. The solution procedures have a worst case computational complexity of order $O(n^2{\log}\;n)$, where n is the total number of variables. We illustrate a numerical example and discuss some variations of problem (P).

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.12
• /
• pp.1-9
• /
• 2018

The multiple-choice multidimensional knapsack problem (MMKP) is a variant of the well known 0-1 knapsack problem, which is known as an NP-hard problem. This paper proposes a method for solving the MMKP using the integer programming-based local search (IPbLS). IPbLS is a kind of a local search and uses integer programming to generate a neighbor solution. The most important thing in IPbLS is the way to select items participating in the next integer programming step. In this paper, three ways to select items are introduced and compared on 37 well-known benchmark data instances. Experimental results shows that the method using linear programming is the best for the MMKP. It also shows that the proposed method can find the equal or better solutions than the best known solutions in 23 data instances, and the new better solutions in 13 instances.