• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.579-590
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• 2021

This study examined the mediating effect of learning engagement in the relationship between self-regulation, teaching presence and computational thinking in online SW education. To verify the research problem, a blended learning model adopted SW liberal course at A Women's University located in Seoul, which 94 students were enrolled in, was selected. The results of this study and the implications are as follows: First, it was found that learning engagement mediated the relationship between self-regulation and computational thinking. Second, it was found that learning engagement mediated the relationship between teaching presence and computational thinking. This study suggested a plan to improve learners' active engagement and self-regulation strategy in online SW education. In addition, it is significant that this study considered a method for learners to perceive teaching presence in online learning environment.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.55-65
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• 2022

As Internet and mobile technology is developing, the educational environment is changing from the traditional passive way into an active one driven by learners. It is important to construct the proper learner's profile for personalized education where learners are able to study according to their learning levels. The existing studies on ICT-based personalized education have mostly focused on vocabulary and learning contents. In this paper, learning profile is constructed with not only vocabulary but grammar to define a learner's learning status in more detailed way. A proficiency metric is defined which shows how a learner is accustomed to the learning contents. The simulational results present the suggested approach is effective to the evaluation essay data with each learner's proficiency that is determined after pre-learning process. Additionally, the proposed analysis technique enables to provide statistics or graphs of the learner's status and necessary data for the learner's learning contents.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1007-1014
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• 2022

Compact Advanced Satellite 500 (CAS500) can be used for various purposes, including vegetation, forestry, and agriculture fields. It is expected that it will be possible to acquire satellite images of various areas quickly. In order to use satellite images acquired through CAS500 in the agricultural field, it is necessary to develop a satellite image-based extraction technique for crop-cultivated areas.In particular, as research in the field of deep learning has become active in recent years, research on developing a deep learning model for extracting crop cultivation areas and generating training data is necessary. This manuscript classified the onion and garlic cultivation areas in Hapcheon-gun using PlanetScope satellite images and farm maps. In particular, for effective model learning, the model performance was analyzed according to the proportion of crop-cultivated areas. For the deep learning model used in the experiment, Fully Convolutional Densely Connected Convolutional Network (FC-DenseNet) was reconstructed to fit the purpose of crop cultivation area classification and utilized. As a result of the experiment, the ratio of crop cultivation areas in the training data affected the performance of the deep learning model.

• Journal of The Korean Association of Information Education
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• v.26 no.3
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• pp.175-186
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• 2022

This study has explored the facilitating factors affecting the learning persistence of university students and divided Emergency Remote Teaching(ERT) into two types based on its policies. The conclusions are as follows: First, perceived usefulness was the facilitating factor affecting learning persistence in Synchronous ERT. Therefore, learning persistence would improve by establishing various strategies such as exploring appropriate teaching strategies and building a stable infrastructure. Second, it was perceived usefulness, social presence, and system quality that were the facilitating factors affecting learning persistence in Asynchronous ERT. Thus, learning persistence would increase accompanied by immediate feedback, more active interaction, and so on.

• Journal of Korean Elementary Science Education
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• v.34 no.4
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• pp.447-457
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• 2015

This study has attempted to find the teaching methods for the elementary students with low science achievement by examining the differences of science learning motivation, academic stress and stress coping styles and the characteristics shown in the relationship between them. To achieve this, the differences of science learning motivation, academic stress and stress coping styles of the elementary students with low science achievement and their relationship was set up as a study problem. A science learning motivation using a science learning motivation questionnaire reconfigured with PALS along with underachievers diagnosis were measured targeting 660 elementary students located in Seoul. Using an academic stress questionnaire and stress coping style questionnaire, an academic stress and stress coping styles were measured. The results of analyzing the collected data are as follows. First, a science learning motivation of elementary students with low science achievement was lower than the general students but the academic stress was shown higher. Especially, the self-efficacy of science learning motivation was significantly lower and the school stress was highest. For stress coping styles, a tendency of passive and avoidment coping styles were shown higher than the general students. Second, among the science learning motivation of elementary students with low science achievement, the self-efficacy motivation and school stress have shown a negative correlation but had a positive correlation with the goal-oriented motivation centered on ability. In the correlation between the science learning motivation of elementary students with low science achievement and the stress coping styles, the pursuit of social support coping styles have shown a significant positive correlation with the science learning motivation and its subcategories. As a result of conducting a regression analysis on the influence of academic stress and stress copying styles on the science learning motivation of elementary students with low science achievement, among the academic stresses, the school stress was shown to have the biggest influence. Among the stress coping styles, the pursuit of social support coping styles had the biggest influence on the science learning motivation followed by active coping behaviors, passive and avoidment coping behaviors. Low science learning motivation as underachievement factors of elementary students with low science achievement was identified as having a relationship with high school stress and undesirable stress copying styles. Therefore, guidance and a program are required for the elementary student with low science achievement to have desirable stress coping methods on the stressful situations. In addition, for the improvement of science learning motivation, a learning environment is needed for the elementary students with low science achievement with seeking of relevant educational methods.

• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.514-526
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• 2000

The active treatment phase in preparation for bone marrow transplantation(BMT) of che- motherapy regimen and total body irradiation (TBI) containing regimen requires considerable teaching. There have been researches that are related to treatment onto BMT patients and to psychological change during BMT process. However, it was hard to find researches focused on learning needs of patients undergoing BMT. The purpose of this study was to provide the basic data for effective educational program about BMT by investigating the learning needs in patients undergoing BMT. The subjects consisted of 90 BMT patients have been admitted to the department of BMT at three university hospitals. Data were obtained from October 1998 to March 1999 and analyzed by SAS program for unpaired t-test, ANOVA, Duncan test. The results were as follows : 1. Learning needs related to demographic characteristics was identified as below. That of male was higher than that of female. That of under age 29, unmarried, religious and university graduated group was higher than that of opposite group but it didn't show significant difference. Learning needs of group of patients who were employed was significantly higher then that of unemployed patients. 2. According to types of diagnosis, learning needs of myelodysplastic syndrome(MDS) patients was the higher than that of others, but admission frequency was the least. Learning needs of unrelated matched BMT(UBMT) patients was higher than that of autologous BMT patients. However, it didn't show significant difference. With regard to learning needs according to process of BMT, learning needs of Pre- BMT period or Post-BMT period was significantly higher than that of BMT day. 3. Learning needs related to BMT was relatively high (total mean: 3.11 of 4.0). The order of the mean score of leaning needs was shown as follows : Restricted activities after discharge, Relapse symptom, Complications of BMT, Kinds of available drugs at home. Therefore the learning needs that is related to life after discharge and to relapse and complications after BMT was high. 4. Learning needs related to radiation therapy was high (total mean: 3.35 of 4.0). The learning needs in radiation therapy items was the Skin care of radiation therapy and Purpose of radiation therapy. 5. Learning needs related to graft versus host disease(GVHD) therapy was high (total mean: 3.55 of 4.0). The highest learning needs in GVHD therapy items was the Preventive method GVHD. less admission frequency and UBMT patients. It is necessary that education for BMT patients should be focused on life after discharge and on relapse and complications after BMT. Especially education for allogeneic BMT patients should be emphasized on GVHD. For all of these, it is necessary to develop systematic and concrete educational program.

• Journal of Korea Multimedia Society
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• v.9 no.5
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• pp.649-657
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• 2006

Reinforcement Learning is a computational approach to learning whereby an agent take an action which maximize the total amount of reward it receives among possible actions within current state when interacting with a uncertain environment. Q-learning, one of the most active algorithm in Reinforcement Learning, is consist of rewards which is obtained when an agent take an action. But it has the problem with mapping real world to discrete states. When state spaces are very large, Q-learning suffers from time for learning. In constant, when the state space is reduced, many state spaces map to single state space. Because an agent only learns single action within many states, an agent takes an action monotonously. In this paper, to reduce time for learning and complement simple action, we propose the Q-learning using influence map(QIM). By using influence map and adjacent state space's learning result, an agent could choose proper action within uncertain state where an agent does not learn. When this paper compares simulation results of QIM and Q-learning, we show that QIM effects as same as Q-learning even thought QIM uses 4.6% of the Q-learning's state spaces. This is because QIM learns faster than Q-learning about 2.77 times and the state spaces which is needed to learn is reduced, so the occurred problem is complemented by the influence map.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.945-953
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• 2006

The researchers in the field of cognitive science and learning science suggest that the teaching activity induces the elaborative and meaningful learning. Actually, lots of research findings have shown the beneficial effect of learning by teaching such as peer tutoring. But peer tutoring has some limitations in the practical learning context. To overcome some limitations, the new concept of "learning by teaching" through the agent called Teachable Agent. The teachable agent is a modified version of traditional intelligent tutoring system that assigns a role of tutor to teach the agent. The teachable agent monitors individual difference and provides a student with a chance for deep learning and motivation to learn by allowing them to play an active role in the process of learning. That is, The teaching activity induces the elaborative and meaningful learning. This study compared the effects of our teachable agent, KORI, and peer tutoring on the cognition and motivation. The field experiment was conducted to examine whether learning by teaching the teachable agent would be more effective than peer tutoring and reading condition. In the experiment, all participants took 30 minutes lesson on rock and rock cycle together to acquire the base knowledge in the domain. After the lesson, participants were randomly assigned to one of the three experimental conditions; reading condition, peer tutoring condition, and teachable agent condition. Next, participants of each condition moved into separated place and performed their own learning activity. After finishing all of the learning activities in each condition, all participants were instructed to rate the interestingness using a 5-point scale on their own learning activity and leaning material, and were given the comprehension test. The results indicated that the teachable agent condition and the peer tutoring condition showed more interests in the learning than the reading condition. It is suggested that teachable agent has more advantages in overcoming the several practical limitations of peer tutoring such as restrictions in time and place, tutor's cognitive burden, unnecessary interaction during peer tutoring. The applicability and prospects of the teachable agent as an efficient substitute for peer tutoring and traditional intelligent tutoring system were also discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.468-478
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• 2018

The goal of this study is to propose a new directivity for business training based on an analysis of the learner's satisfaction, the cause of the learning effect and the cause of reenrollment in smart learning courses. The data from 878 learners of 11 companies was analyzed by ANOVA and multiple regression analysis and the following results were obtained. First of all, the satisfaction of studying by smart learning showed various results depending on the motivation, process and contents of studying. According to the results, high rates of satisfaction were observed when the people take an active part in studying, as reflected in the frequency and time of studying. Also, when the learning contents were presented in an animated manner, the satisfaction of the students was increased. Second, the motivation of the students to participate in the smart learning and study process was reflected in the frequency, time and quality of their studies, thus confirming the learning effect. Lastly, the satisfaction and effectiveness of studying by smart learning are the causes of reenrollment. Based on the analysis results, it was concluded that the corporation's support and proper compensation are needed to increase the rate of satisfaction and the effectiveness of smart learning from the corporation's perspective. Also, from the viewpoint of the smart learning system operators, it is necessary to find ways of developing the learning contents.

• The Journal of Korean Association of Computer Education
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• v.15 no.5
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• pp.11-22
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• 2012

This study aimed to analyze applying TAM model the process that flow factors such as 'harmony of challenge and technology' exert effects on learners' attitudes of keeping learning in STEAM class employing robots. For the study, the 'Energy and Tools' chapter of the science textbook for the 6th grade's second semester was re-arranged, and applied for 189 students, and among them, only the 174 usable data were used for the analysis. As a result of analysis, students' learning immersion factor(factor of harmony of challenge and technology) had deeper effects on the factor of ease of learning than usefulness of learning and this in turn, had an effect on their intention to keep learning ultimately through the factor of value of learning as the study found. As a result of research, it was found that for indications identified, in order to use robots in STEAM class, for the students' intention to keep learning, it's essential for learners to have proper and active attitudes towards learning and basic knowledge of robots, and aspects of values should be considered that based on this, robot can assist in learning and affect results of learning in STEAM class. On the other hand, the factors of ease of learning and the combination of the challenge and technology do not gives direct (+) effect on the intention to continue learning and the value for learning, respectively. However, each of the two factor has indirect influence on each of the dependent variable within the significant range, which is the reason the author includes the result of the analysis.