• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2011년도 동계학술대회
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• pp.23-28
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• 2011

현재 교육대학교의 컴퓨터교육 전공에서 알고리즘 및 문제해결력 향상을 위해 프로그래밍교육을 실시하고 있다. 기존의 프로그래밍언어를 도구로 하는 학습은 오타 등 다량의 오류발생, 문법 표현 및 이해의 어려움, 알고리즘 표현의 난해함 등 많은 구조적인 문제점이 있어 프로그램학습 본래의 목적을 달성하기가 어렵다. 최근 ICT의 급속한 발전으로 프로그램학습을 교육용로봇을 활용할 수 있다. 본 연구에서는 교육용로봇 중 가장 많이 사용되고 있는 Mindstorms로봇의 NXT소프트웨어를 이용하여 컴퓨터교육 전공 학생들이 쉽게 프로그래밍학습을 할 수 있게 학습모형(교육과정 및 교재)을 개발하였다.

• 한국초등과학교육학회지:초등과학교육
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• 제24권5호특별호
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• pp.531-538
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• 2005

The primary purpose of the study was to investigate the degree of difficulty and the causes of the difficulties in science instruction reported by elementary teachers and students. The secondary purpose was to suggest the effective methods to both of them to improve the efficiency of science instruction. For this study, the survey was carried out on 322 students and 156 teachers in the 3rd, 4th, and 5th grades. The questionnaires consisted of interest, difficulty and its factors. The results of this investigation are summarized as follows; 1. Teachers had relatively higher interest than students in science instruction content(textbook). Furthermore, the units that teachers showed interest differed from those that students had. This means that there is a significant difference of interest in instruction process between teachers and students. 2. Teachers felt much higher difficulty than students in the content of science instruction. This shows that the degree of interest might have little relation with that of difficulty, and that teaching of science seemed more difficult than teaming. Moreover, there was a difference of difficulty in the units between the teachers and students. The result shows a distinctive difference of difficulty in 8 units of the 3rd grade, 9 units n the 4th grade, and 12 units in the 5th grade (p<.05, p<.001, p<.005, respectively). It means that the difficulty depended on the units. 3. Students responded that they are responsible for difficulty factors of teaming, otherwise teachers thought that students are responsible for it, when the factors were divided into student factor, teacher factor, and curriculum factor. 4. Students demanded many experiments in the lab as well as easy and interesting instructions in order to reduce the degree of difficulty and to improve the condition of science instructions. However, teachers demanded the expansion of experimental equipments and materials as well as the improvement of the lab condition.

• 한국해양공학회지
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• 제34권3호
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• pp.167-179
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• 2020

Recently, the increasing importance of artificial intelligence (AI) technology has led to its increased use in various fields in the shipbuilding and marine industries. For example, typical scenarios for AI include production management, analyses of ships on a voyage, and motion prediction. Therefore, this study was conducted to predict a response amplitude operator (RAO) through AI technology. It used a neural network based on one of the types of AI methods. The data used in the neural network consisted of the properties of the vessel and RAO values, based on simulating the in-house code. The learning model consisted of an input layer, hidden layer, and output layer. The input layer comprised eight neurons, the hidden layer comprised the variables, and the output layer comprised 20 neurons. The RAO predicted with the neural network and an RAO created with the in-house code were compared. The accuracy was assessed and reviewed based on the root mean square error (RMSE), standard deviation (SD), random number change, correlation coefficient, and scatter plot. Finally, the optimal model was selected, and the conclusion was drawn. The ultimate goals of this study were to reduce the difficulty in the modeling work required to obtain the RAO, to reduce the difficulty in using commercial tools, and to enable an assessment of the stability of medium/small vessels in waves.

• 수산해양교육연구
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• 제25권3호
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• pp.643-660
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• 2013

The numbers of learning underachievers in college are gradually increasing. As a result, the need for extracurricular programs to increase learning in college is also growing. The purpose of this study was to analyze factors of learning difficulty and develop a model of learning consulting for college underachievers. This study also aimed to evaluate this model's validity. Using both 56 subscription forms of college underachievers and three sets of focus group interviews at B university, we found that students had difficulties in goal and career setting, management of grades and tests, learning methods, time management, failure overcome ability, lack of learning habit sustaining power and learning motivation, and so on. We developed a model of learning consulting for college underachievers based on these factors and applied the model to evaluate it's validity, testing it on 31 underachievers currently enrolled in college, five times every week. Let we say in conclusion that this model of learning consulting had positive effects on changing college underachiever's character, emotion, motivation, and behavior towards learning.

• 대한치과기공학회지
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• 제44권3호
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• pp.97-103
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• 2022

Purpose: This study sought to identify the factors influencing learning motivation and demotivation in online dental technology students. Methods: A survey was conducted from October 1 to 30, 2021, on 188 dental technology students. The collected data were processed using the IBM SPSS IBM SPSS Statistics ver. 22.0 statistical program (IBM), and frequency, factor, and one-way ANOVA analyses were performed, for which the significance was set at 0.05. Results: It was found that the main online learning motivation factors were the usefulness of the learning content, interest, and confidence in the activities, the relationships with the teachers and friends, the feedback, and learning satisfaction. The factors that reduced the students' online learning motivation were interaction difficulties, maladaptation to the self-directed learning environment, the inadequate number of learning activities, and activity difficulty. Conclusion: Based on the identified online class motivation and demotivation factors, better systematic management and increased research are needed to improve the quality of non-face-to-face classes.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.170-182
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• 2019

In this paper, we use scratch to design and develop non-formal learning experiences that are linked with contents of secondary science textbook to educational programs. The goal of this paper is to develop a convenient and interesting program for non-formal learning in a learning environment using various smart device. Theoretical approaches to mobile education, such as smartphones, and smart education support policies continue to lead to various research efforts. Although most of the smart education systems developed for students who have difficulty in academic performance are utilized, they are limited to general students. To solve the problem, the learning environment was implanted by combining the scratch, which is an educational programming that can be easily written. The science education program proposed in this paper shows the result of process of programming using ICT device using scratch programming. In the evaluation stage, we were able to display the creations and evaluate each other, so that we could refine them more by sharing the completed ideas.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (B)
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• pp.568-570
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• 2004

The error-backpropagation (EBP) algerithm for training multilayer perceptrons (MLPs) is known to have good features of robustness and economical efficiency. However, the algorithm has difficulty in selecting an optimal constant learning rate and thus results in non-optimal learning speed and inflexible operation for working data. This paper Introduces an elastic learning rate that guarantees convergence of learning and its local realization by online upoate of MLP parameters Into the original EBP algorithm in order to complement the non-optimality. The results of experiments on a speaker verification system with Korean speech database are presented and discussed to demonstrate the performance improvement of the proposed method in terms of learning speed and flexibility fer working data of the original EBP algorithm.

• 창의정보문화연구
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• 제7권2호
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• pp.69-77
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• 2021

과거 프로그래밍은 컴퓨팅 관련 전공자들을 대상으로 일부의 학생들이 배우는 과목이었으나, 오늘날 소프트웨어 중심 산업이 도래함에 따라 컴퓨팅사고 교육과 함께 컴퓨팅 문제 해결의 도구로서 모든 전공 분야의 학생들에게 교육이 이루어지고 있다. 그러나 컴퓨팅 입문 과목을 필수로 이수해야 하는 학습자들은 익숙하지 않은 컴퓨팅 문제 해결 방식과 프로그래밍 언어라는 새로운 내용에 학습에 큰 어려움을 겪으며 학습 효과, 자신감, 흥미 저하와 같은 부정적인 현상으로 이어질 수 있다. 본 논문에서는 비전공자들이 프로그래밍 언어 과목을 학습하면서 겪는 어려움의 원인을 설문 조사, 일지 및 성취도를 질적 및 양적 연구로 분석하여 파악하고, 이를 최소화할 수 있도록 방안을 제시하여 향후 어려움을 최소화하는 교육 방안의 설계에 도움이 되고자 한다.

• 공학교육연구
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• 제25권6호
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• pp.14-22
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• 2022

This paper is a basic study of college of engineering freshmen's adaptation to college life, and the relationship between sub-variables of academic self-efficacy, learning immersion, and academic curiosity is analyzed. And based on the results, a plan to support new students of the College of engineering is suggested.

• 영어어문교육
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• 제12권4호
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• pp.31-68
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• 2006

The present research investigates the acquisition of the English locative alternation by Korean EFL learners, which poses a learnability paradox, taking Pinker's framework of learnability theory as its basis. It addresses two questions (1) how lexical knowledge is represented initially and at different levels of interlanguage development and (2) what kinds of difficulty Korean learners find in the acquisition of English locative verbs and their constructions. Three groups of learners at different proficiency levels with a control group of English native speakers are examined by two instruments: elicited production task and grammaticality judgment task. According to different levels of proficiency, the learners exhibit gradual sensitivity to a change-of-state meaning and obtain complete perception of the meanings of locative verbs (manner-of-motion and change-of-state) and their constructions. Overgeneralization errors are observed in their performance. The errors are due to misinterpretations of particular lexical items in conjunction with the universal linking rules. More fundamental cause of difficulty is accounted for by partial use of learning mechanisms, caused by insufficient L2 input.