• Journal of the Korea Society of Computer and Information
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• v.21 no.4
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• pp.39-46
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• 2016

While the difficulty of the music can be classified by a variety of standard, conventional methods are classified by the subjective judgment based on the experience of many musicians or conductors. Music score is difficult to evaluate as there is no quantitative criterion to determine the degree of difficulty. In this paper, we propose a new classification method for determining the degree of difficulty of the music. In order to determine the degree of difficulty, we convert the score, which is expressed as a traditional music score, into electronic music sheet. Moreover, we calculate information about the elements needed to play sheet music by distance of notes, tempo, and quantifying the ease of interpretation. Calculating a degree of difficulty of the entire music via the numerical data, we suggest the difficulty evaluation of the score, and show the difficulty of music through experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.160-164
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• 2008

Most questions made for remote examinations on E-learning databank based selection system use methods of making questions automatically using degree of difficulty. This methods is the kernel of a question selection that degree of difficulty as make test questions, and then needs continuous management for degree of difficulty. This paper present improved algorithms for dynamically adjustment of degree of difficulty based on examination result that is more efficient set of question. We identified this algorithms is more effective as compared with previously algorithms on web-based education system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2232-2238
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• 2008

Most questions made for remote examinations on E-learning databank based selection system use methods of making questions automatically using degrees of difficulty. This method is the kernel of a question selection that degrees of difficulty as make test questions, and then needs continuous management for degrees of difficulty. This paper presents improved algorithms for dynamically adjustment of degrees of difficulty based on examination result that is more efficient sot of questions. We identified this algorithm is more effective as compared with previous algorithms on web-based education systems.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.229-238
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• 1999

This study investigated the influences of Vee diagram and regulative metacognitive learning strategies upon 6th-graders' achievement, difficulty toward science lesson, self-efficacy, and learning approach. The Vee diagram and regulative metacognitive learning strategies were modified in a pilot study. Before instruction, an achievement test was administered, and its score was used as a blocking variable. A previous science grade was used as a covariate for post-achievement. Tests of difficulty toward science lesson, self-efficacy, and learning approach were also administered, and the test scores were used as covariates. After instruction, a researcher-made achievement test and post-tests of the above variables were administrated. Two-way ANCOVA results revealed that although there were no significant differences in the achievement test scores, the application subtest scores of the two treatment groups were significantly higher than those of the control group. There were no significant differences in the difficulty toward science lesson and learning approach, but self-efficacy scores for the students with Vee diagram and regulative metacognitive learning strategies were significantly higher than those of the other groups. The perceptions of the students using Vee diagram were also analyzed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.2
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• pp.507-512
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• 2010

Many learning methods are recently being proposed for web-based remote education and a method commonly applied to web-based learning is learning through questions. In the existing methods, the difficulty of questions is chosen by learners in accordance with their level or questions are selected dynamically. As these methods are simply based on difference among questions presented, however, it is hardly possible for learners to study according to their abilities. To solve the problem, we adjusted the difficulty of questions presented based on information on individuals' weak points for different types of questions. Under the system individuals can learn by applying information on their abilities with regard to the type and difficulty of questions repeatedly, so the system can provide more effective distance learning. To overcome space restrictions in learning, also, we design and implement a mobile study system on the top of PDA platforms.

• Journal of Educational Research in Mathematics
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• v.20 no.3
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• pp.413-444
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• 2010

The purpose of the present study is to develop an instrument of mathematical learning motivation and causal attribution for students and to analyze the results of the instrument. Based on the literature review, mathematical learning motivation is the cumulative effects of self-assessment and self-regulation in mathematical learning and achievement experience. Three factors of mathematical learning motivation is identified as self-regulatory efficacy, task difficulty and mathematical anxiety with 17 self-regulatory efficacy items, 9 task difficulty items and 9 mathematical anxiety items. Three factors of causal attribution for success is identified as ability/effort, luck, and other person with 6 ability/effort items, 4 luck items and 3 other person items. Also, four factors of causal attribution for failure is identified as ability, effort, luck, and other person with 3 ability items, 7 effort items, 3 luck items and 4 other person items. The instrument of mathematical learning motivation and causal attribution for success and failure was administered to 919 middle school students from eight different middle middle schools in Seoul, Gyeonggi-Do, Busan, jeolla-Do area. The correlation of three factors of mathematical learning motivation was calculated. As a result, a positive correlation between self-regulatory efficacy and task difficulty was appeared but mathematical anxiety has a negative correlation with self-regulatory efficacy and task difficulty. This study also examined the differences about mathematical learning motivation's sub-factors shown by three groups of mathematics achievement level. Students of higher achievement level showed that the degree of self-regulatory efficacy and task difficulty was higher than that of lower level group. Students of lowest achievement level showed significantly higher mathematical anxiety degree than that of middle and high group. Students that have higher degree of self-regulatory efficacy and task difficulty preference were attributed into ability/effort cause toward success of mathematics achievement. Also, Male students preferred more difficult task and higher degree of self-regulatory efficacy in mathematics learning than female students. On the contrary, Female students showed higher mathematical anxiety level than male students.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.129-134
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• 2021

Since the first semester of 2020, domestic and overseas universities mostly provided untact online classes and limitedly provided face-to-face classes due to COVID-19 in operating courses. The convergence subjects provided in undergraduate courses attach importance to contents-centered, design-based, hands-on education, and field experience. In the situation where online education was not revitalized, instructors in charge of convergence subjects had difficulty in developing online class materials, and students' satisfaction with the classes was not high. Especially, a problem was raised that students taking the convergence subjects that included practice had difficulty in communicating with the instructors. We would investigate the present condition of distance learning in domestic universities, which came suddenly due to the global pandemic of infectious disease and make suggestions for effective distance learning in the coming era of Metaverse by emphasizing the interaction and communication between instructors and learners through an analysis of distance learning of a convergence subject.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.55-65
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• 2019

In programming language learning system of flip learning methods, the evaluation of cyber lectures generally proceeds from online to multiple choice questions. In this case, the questions are randomly extracted from the question bank and given to individual learners. In order for these evaluation results to be reflected in the grades, the equity of the examination question is more important than anything else. Especially in the programming language subject, the degree of difficulty that learners think can be different depending on the type of problem. In this paper, we classify the types of multiple-choice problems into two categories, and manage the difficulty level by each type. And we propose a question selection algorithm that considers both difficulty level and type of question. Considering the characteristics of the programming language, experimental results show that the proposed algorithm is more efficient and fair than the conventional method.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.1
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• pp.225-234
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• 2019

Bitcoin is a cryptocurrency with characteristics such as de-centralization and distributed ledger, and these features are maintained through a mining system called "proof of work". In the mining system, mining difficulty is adjusted to keep the block generation time constant. However, Bitcoin's current method to update mining difficulty does not reflect the future hash power, so the block generation time can not be kept constant and the error occurs between designed time and real time. This increases the inconsistency between block generation and real world and causes problems such as not meeting deadlines of transaction and exposing the vulnerability to coin-hopping attack. Previous studies to keep the block generation time constant still have the error. In this paper, we propose a machine-learning based method to reduce the error. By training with the previous hash power, we predict the future hash power and adjust the mining difficulty. Our experimental result shows that the error rate can be reduced by about 36% compared with the current method.

• Journal of Haehwa Medicine
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• v.17 no.1
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• pp.21-39
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• 2008

Objectives : The aim of this study was to investigate the concept of learning disability. Method : I surveyed some of medical and special education books about learning disability. Results and Conclusion : The following result were obtained 1. Learning Disability is a terminology having a special difficulty in acquirement or use of listening, speaking, reading, writing, reasoning and arithmetic. It generally has a various form. 2. Learning Disability is induced by congenital factor, postnatal brain damage, environmental malfunction, nutrition and biochemical elements. 3. Learning Disability is classified into developmental and schoolwork.