• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.94-96
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• 2005

e-Learning 교육관리시스템은 다양한 교육 정보와 평가를 바탕으로 빠르게 확산되고 있다. 학습자의 학습 동기와 평가 성취도를 높이기 위한 연구와 기술들이 많이 적용되었다. 그러나 대부분의 교육관리시스템은 동일한 학습 내용을 일방적으로 제공하며, 학습 영역에 맞는 난이도별 문제를 추출해 제공하고 있다. 본 연구에서는 학습자의 사전진단평가와 설문조사를 바탕으로 하여 수준을 결정하고, 그에 따른 학습 영역의 내용과 문제를 난이도별 문항수를 적용, 추출하여 학습 동기와 학습 성취도를 극대화할 수 있을 것이다. 또한 본 연구의 시스템은 학습자 수준에 따른 난이도별 문항수 비율을 비례하게 적용하여 흥미도를 최대화하여, 학습 내용과 문제를 재사용하여 피드백 학습을 할 수 있도록 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.339-340
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• 2013

본 논문에서는 컴퓨터 프로그래밍 수업에 참여한 학습자들이 수업과 병행되어 운영된 피어 튜터링 프로그램에 참여하였을 때, 참여한 튜터링 팀의 구성원들의 학습 수준 차이 정도와 튜터링 운영 방법 및 자신의 역할에 따라 수업에서 학습한 내용에 대한 학업성취도가 어떻게 달라지는지를 분석하였다.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.335-344
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• 2021

The purpose of this paper is the development of course data models and learning achievement computation algorithms for enabling the course-embedded assessment(CEA), which is essential of competency-based education in higher education. The previous works related CEA have weakness in the development of the systematic solution for CEA computation. In this paper, we propose data models and algorithms to implement competency-based assessment system. Our data models are composed of a layered architecture of learning outcomes, learning modules and activities, and an associative matrix of learning outcomes and activities. The proposed methods can be applied to the development of the course-embedded assessment system as core modules. We evaluated the effectiveness of our proposed models through applying the models to a practical course, Java Programing. From the result of the experiments we found that our models can be used in the assessment system as a core module.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.477-491
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• 2010

This paper aimed to understand current trends in online lectures for Korean SAT based on students' academic performances through a qualitative interview approach. In results, the highest academic performance group showed a good deal of interest and usage in online lectures. This group participants preferred private online lectures to public ones. However, the lowest academic group liked to use public online lectures. The middle academic groups who lived in an expensive area spent a lot of money for tutoring or attending private institutes rather than online lectures. Suggestions are: self-regulated learning is needed, public onilne lectures should have improved contents, and lastly, these online lectures are required to be connected with regular school curriculum.

• School Mathematics
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• v.18 no.2
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• pp.397-423
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• 2016

Mathematics learning motivation is an important variable which is not only the primary goal of learning mathematics but also mediates the effects of the mathematics learning. Nevertheless, the present learning environment is full of impeding factors which reduce learners' motivation to learn mathematics and mathematical self-regulatory efficacy. The purpose of this study is to offer various suggestions for program to enhance and forster mathematics learning motivation based on empirical findings and theories on motivation, self-regulatory learning, regulatory focus, reducing academic stress and math anxiety. The concrete and practical ideas are suggested in terms of mathematical self-regulatory efficacy, learners' characteristics, learning task. The analysis of the effects revealed a positive effect on mathematical self-regulatory learning.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.213-224
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• 2014

STEAM learning, which combined software with hardware, can greatly increase algorithm improvement, problem-solving skills, integrated thinking ability etc. and can ultimately improve learning attitude and academic achievement. In this study, we developed STEAM learning model so that 6th graders who can fully understand the basic concept of programming can learn subject contents of national textbooks (5 kinds) with programming that combined six sensors attached Sensor_board with Scratch and applied it to 6th grade class and analyzed the results. As a result, the STEAM learning tool that combined Scratch with Sensor_board was analyzed to be suitable for most elementary school students to be evaluated. In the achievement evaluation of learning, 39.5% of students obtained more than 7 points out of perfect 10 in the average achievement level of 5 subjects so most students evaluated were analyzed to obtain satisfactory achievement. Therefore, STEAM learning using Scratch and Sensor_board, hardware is considered to be more effective than existing software-centered ${\times}$learning using only software.

• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.11-27
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• 2008

Though web-based learning is known to be effective for computer aided practical class, it lacks in cooperative human feedback and self-adjustment. This paper presented the effects of blended learning that was based on web-based learning for learning by level and blended with peer tutoring for reducing the differentials of scholastic achievements between the students. For experimental purpose, high school students were divided into two groups and web-based EXCEL tutoring tool was developed and applied to both groups in advance. After this learning, we applied the web-based learning for comparative group as before and peer tutoring for experimental group respectively, Performance result evaluated by SPSS showed that the Blended Learning has affirmative effect in scholastic achievements. Especially, students under the medium level of experimental group could narrow the gap to the high level students in its group and this eventually improved the overall achievements of experimental group with blended learning.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.519-529
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• 2020

The purpose of this study is to establish a model for predicting academic achievement of college students and to reveal the interrelationship and relative influence of each factor. For this, we surveyed the personal factors and learning strategy factors of 1,310 learners at J University, and analyzed the discriminant factors and patterns of the predictors of academic achievement through the decision tree analysis, a data mining method, and examined the relative effects of each factor. Binary logistic regression analysis was performed for viewing. As a result, the most important factor for predicting academic achievement was efficacy, and other factors such as motivation, time management, and depression were predictive of academic achievement. The patterns of factors predicting academic achievement were found to be high in efficacy and time management, and high in motivation for learning even if the efficacy was moderate. Low efficacy and learning motivation, and high depression have been shown to decrease academic achievement. Based on these results, the study suggested the efficacy and motivation to improve academic achievement of college students, strengthening time management education, and managing negative emotions.

• Journal of Elementary Mathematics Education in Korea
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• v.22 no.2
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• pp.143-159
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• 2018

Since the mathematics learning achievement level is closely related to problem-solving ability, it is necessary to understand the relationship between problem-solving ability and meta-affect ability from the point of view of general mathematics learning ability. In this study, we compared the frequency analysis and the case analysis of the functional aspects of the meta-affect in elementary school students' problem-solving processes according to mathematics learning achievement level in parallel with frequency analysis and case analysis. In other words, the frequency of occurrence of meta-affect, the frequency of meta-affective type, and the frequency of meta-functional types of meta-affect were compared and analyzed according to the mathematics learning achievement level in the collaborative problem-solving activities of small group members with similar mathematics learning achievement level. In addition, we analyzed the representative cases of meta-affect by meta-functional types according to the mathematics learning achievement level in detail. As a result, meta-affect in problem-solving processes of the upper level group acted as relatively various types of meta-functions compared to the lower level group. And, the lower level group, the more affective factors acted in the problem-solving processes.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.107-118
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• 2004

This study aims to design and implement individual complete learning system based on IPI(Individually Prescribed Instruction) model. Most of current web based learning systems do not consider individual students' ability and just follow the sequence of instructing contents $\rightarrow$ providing problems $\rightarrow$ presenting the result of evaluating. However, this system focuses on individual ability prior to studying subjects. In individual complete learning system, it is acknowledged that a period and a pace to complete each task will differ from students to students, therefore until they complete the whole unit, they are not allowed to move onto the next unit. After completing each unit, there will be a process of evaluating students' performance. It is necessary to show the correct completion of 80% of the evaluation to move onto next step; for those who are evaluated as inadequate to move on, an individual supplementary instruction will be provided. Therefore, this study intends to supplement the deficit of prior learning and provide feedback dependent on individual's learning ability so that the goal of Individual Whole Complete Learning could be accomplished.