This study was performed to review the domestic and international smart farm service model based on the convergence of agriculture and information & communication technology and derived various factors needed to improve the Korean smart greenhouse. Studies on modelling of crop growth environment in domestic smart farms were limited. And it took a lot of time to build research infrastructure. The cloud-based research platform as an alternative is needed. This platform can provide an infrastructure for comprehensive data storage and analysis as it manages the growth model of cloud-based integrated data, growth environment model, actuators control model, and farm management as well as knowledge-based expert systems and farm dashboard. Therefore, the cloud-based research platform can be applied as to quantify the relationships among various factors, such as the growth environment of crops, productivity, and actuators control. In addition, it will enable researchers to analyze quantitatively the growth environment model of crops, plants, and growth by utilizing big data, machine learning, and artificial intelligences.
Artificial intelligence (AI) technology has been evolving to recognize and learn the languages, voice tones, and facial expressions of users so that they can respond to users' emotions in various contexts. Many AI-based services of particular importance in communications with users provide emotional interaction. However, research on nonverbal interaction as a means of expressing emotion in the AI system is still insufficient. We studied the effect of lighting on users' emotional interaction with an AI device, focusing on color and flickering motion. The AI device used in this study expresses emotions with six colors of light (red, yellow, green, blue, purple, and white) and with a three-level flickering effect (high, middle, and low velocity). We studied the responses of 50 men and women in their 20s and 30s to the emotions expressed by the light colors and flickering effects of the AI device. We found that each light color represented an emotion that was largely similar to the user's emotional image shown in a previous color-sensibility study. The rate of flickering of the lights produced changes in emotional arousal and balance. The change in arousal patterns produced similar intensities of all colors. On the other hand, changes in balance patterns were somewhat related to the emotional image in the previous color-sensibility study, but the colors were different. As AI systems and devices are becoming more diverse, our findings are expected to contribute to designing the users emotional with AI devices through lighting.
Journal of the Korean Society of Earth Science Education
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v.11
no.1
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pp.21-37
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2018
The purpose of the study is to visualize the concept of water circulation in elementary school students through science behavioral system. Elementary school students found it difficult to understand concepts related to the water cycle. Most of the elementary school children think it rains because the clouds are heavier. It is most difficult to explain invisible concepts to elementary school children. Also, experiments in current textbooks are likely to disrupt scientific concepts. Accordingly, conventional water cycle, dew, fog, and cloud experiments were integrated into one system. The researchers then developed a device that allowed students to see the water's circulation at a glance. It is intended to enable integrated thinking on evaporation, condensation and precipitation. In addition, a instruction program to guide students using the system has been developed to demonstrate its effectiveness. Employing a quasi-experimental design, the participants were measured on their concepts of evaporation, condensation, and water circulation before and after participation. The findings indicated that the experiment is more effective in changing the concepts of evaporation, condensation, and water circulation than in previous experiments. Also, the optimal conditions for making use of the device were found, and there were no various experimental parameters, such as condensation.
Journal of the Korean Society of Earth Science Education
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v.10
no.3
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pp.235-253
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2017
The purpose of this study is to compare by learner groups(K-12, geology-related majoring students, science teachers) how geologic fieldwork education cases in domestic and foreign papers for recent 20 years reflect the elements of inquiry in field geology. The total number of analyzed cases is 53(58 for double counting), and the analysis was conducted on the elements of inquiry in field geology and their sub-element. As a result, there was a clear difference between the cases of geologic fieldwork education for K-12 and college students majoring in geology-related disciplines, in the way of reflecting elements of inquiry in field geology. Because most of K-12 target fieldworks were designed based on the curriculum, it mainly included 2-3 elements of observations, representations, and/or abductive reasoning. On the other hand, because fieldworks for geology-related major students aim to train geologic experts, it diversely contained four or five of the elements of inquiry in field geology, including spatial thinking and diachronic thinking in a high proportion, and also frequently used activities that require specialized skills such as geological mapping. Fieldworks for science teachers were found to have mixed features of K-12 and geology-related major students. Considering the diversity of included inquiry elements, similarities with the activities performed by geologists, and the autonomy of learners, it was analyzed that geologic fieldwork for geology-related major students was more close to authentic geologic inquiry than fieldwork for others. Based on the results of this study, we suggested implications for improving geological fieldwork as authentic science inquiry.
Journal of the Korean Society of Earth Science Education
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v.12
no.3
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pp.291-301
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2019
The purpose of this study is to develop HTE-STEAM program using natural disasters for high school students and to verify their attitude and satisfaction with STEAM. We developed the HTE-STEAM program utilizing natural disasters and tested the effectiveness of 243 students from G High School and N High School. For data analysis, a single group pretest and post response t-test were conducted to verify the effects on attitudes and satisfaction with STEAM. The research results are as follows. First, we developed STEAM education programs for high school students by selecting the topic of "natural disasters" in the area of earth science and flying drones as lifesaving drones. The six-hour program was designed to give students the experience to solve problems by applying essential knowledge related to natural disasters and drones, and what they learned in other situations. Second, there was a significant statistical test result in the t-test of the corresponding sample by the difference between the pre and post score of the STEAM attitude test (p <.05). The drone-based HTE-STEAM program had a significant improvement in the overall attitude toward STEAM education, which consists of seven subfactors. Third, in the HTE-STEAM satisfaction test, the average value of the lower job offer was 3.64 ~ 3.76, which showed a positive response overall. It is judged that the students' satisfaction is improved through the students' understanding of the problem situation and the design of creative convergence and production process.
The gist of a scene can be identified in less than 100msec, and violation in the gist can influence the way to allocate attention to the parts of a scene. In other words, people tend to allocate more attention to the object(s) inconsistent with the gist of a scene and to have better memory of them. To investigate the effects of contextual consistency on the attention allocation and object memory, two experiments were conducted. In both experiments, a $3{\times}2$ factorial design was used with scene presentation time(2s, 5s, and 10s) as a between-subject factor and object-background contextual consistency(consistent, inconsistent) as a within-subject factor. In Experiment 1, eye movements were recorded while the participants viewed line-drawing scenes. The results showed that the eye movement patterns were different according to whether the scenes were consistent or not. Context-inconsistent objects showed faster initial fixation indices, longer fixation times, more frequent returns than context-consistent ones. These results are entirely consistent with those of previous studies. If an object is identified as inconsistent with the gist of a scene, it attracts attention. Furthermore, the inconsistent objects and their locations in the scenes were recalled better than the consistent ones and their locations. Experiment 2 was the same as Experiment 1 except that a dual-task paradigm was used to reduce the amount of attention to allocate to the objects. Participants had to detect the positions of the probe occurring every second while they viewed the scenes. Nonetheless, the result patterns were the same as in Experiment 1. Even when the amount of attention to allocate to the scene contents was reduced, the same effects of contextual inconsistency were observed. These results indicate that the object-background contextual consistency has a strong influence on the way of allocating attention and the memory of objects in a scene.
The purpose of this study was to find out the change in psychological well-being of middle school students by participating in after school physical training activities. To achieve this object, 100 male students of M middle school in K city. "Teenagers' psychological well-being measurement tool" developed by Chung-hee Park(2007). Twice a week, for twelve weeks, the experimental group took part in an after school physical training activity, and the control group, in non-physical classes. The conclusion reached based on the result of this study are as follows. First, there was a statistically significant difference in the change of the family relations factor. Second, there was no statistically significant difference in the change of the student-teacher relations factor between the group Third, there was a statistically significant difference in the change of the self-awareness factor between the group. Fourth, there was no statistically significant difference in the change of the self assertiveness factor between the group. Fifth, there was a statistically significant difference in the change of the friendship factor between the group. Sixth, there was no statistically significant difference in the change of the self-initiative studying factor between the group. In conclusion, taking part in an after school physical training activity on a regular basis can increase the feeling of care and love from family relations, give positive self awareness and attitude towards life, and help building mutual trust between friends by having close relationship.
Sexuality education in the period of adolescents need much care and attention. The programs of sexual education through the Internet are excellent resources for adolescents to gain the information related to their sexual health. And systematic program which is necessary for adolescents to manage their sexual health has been rarely found in Korea. The purpose of this study was to offer valuable database for program design and evaluation on sexual education of middle school students through the Internet. Needs assessment for the information of sexual education on the internet among middle school students were carried out. A questionnaire survey was conducted with respondents of 602 middle school students from January to March in 2002. In the sexual counseling center for middle school students, counseling cases through internet were analyzed and evaluated from October, 2001 to September, 2002, We have selected 16 Sexual educational websites in Seoul confirmed Korean Educational Human Resource. Contents which was illustrated in 16 sexual educational websites were analyzed and evaluated by 12 sexual counselors. Design and evaluation of the program on the internet for sexuality education of adolescences was conducted on the basis of this study results by middle school expert teachers, sexual counselors, sexuality education professionals. Data was statistically analyzed using dBSTAT 4.0 for Windows. The extent and phase of the teaching-learning program of the sexuality education on the internet was seen as follows : 1. We evaluated to need for sexuality education on the internet by middle school student. 2. We assessed the properness of sexuality education curriculum on the internet frequently used by middle school students. 3. We designed teaching strategy and learning program for sexuality education of the middle school students. 4. We developed the assessment method for the teaching-learning program of the sexuality education in adolescences on the internet. Middle school students responded that sexual education through Internet is needed in the order of programs related to acquaintances with opposite sex, Sexual culture and ethics, Sexual health, Reproductive health structure and development, Marriage and family, Psychology of Sexuality, Pregnancy and birth. In the internet counseling, cases on the 'reproductive health structure and development' was ranked as the top. In short we have found the most needs as follows; Meaning of the marriage life and having family, Sexes and Love, Human relation, Sexual Culture.We recommend as follows on the basis of this study results: 1. It is necessary for sexuality education program on the internet to specify according to age and target the specific individual needs. 2. Sexual educators have to employ various educational materials such as flash, cartoon, multimedia in order to provide effective sexuality education. 3. Internet based sex education need to be evaluated regularly through reassessment of the effectiveness of sexuality education for content quality and richness.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.11
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pp.6527-6535
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2014
This research aims is to confirm the effects of cultural competence of an action learning based teaching method in multicultural nursing education. Cultural competence was composed of cultural knowledge, cultural awareness and cultural acceptance. A total of 118 college students were enrolled in this study. Both before and after learning, the students were guided to fill out a questionnaire regarding culture competence. The students from each group studied multicultural nursing by different teaching types: the Traditional Lecture-based Teaching method (TLT) and Action Learning based Teaching method (ALT). Data analysis was carried out by SPSS 21.0. A pre-post comparison within the group was performed using a paired t-test and the comparison between groups was performed using ANCOVA. The results showed that there was a significant difference in the culture competence in both teaching methods. In addition, ALT showed higher cultural acceptance results than TLT; however, there was no difference in cultural knowledge and cultural awareness between the two groups Therefore, ALT should be considered as a teaching method to enhance cultural competence in multicultural nursing education for Nursing students. Further studies on instructional design according to the task types, nursing performance, and the validity of ALT will be needed.
Recently, the problem of air pollution has become a global concern due to industrialization and overcrowding. Air pollution can cause various adverse effects on human health, among which respiratory diseases such as asthma, which have been of interest in this study, can be directly affected. Previous studies have used clinical data to identify how air pollutant affect diseases such as asthma based on relatively small samples. This is high likely to result in inconsistent results for each collection samples, and has significant limitations in that research is difficult for anyone other than the medical profession. In this study, the main focus was on predicting the actual asthmatic occurrence, based on data on the atmospheric environment data released by the government and the frequency of asthma outbreaks. First of all, this study verified the significant effects of each air pollutant with a time lag on the outbreak of asthma through the time-lag Pearson Correlation Coefficient. Second, train data built on the basis of verification results are utilized in Deep Learning algorithms, and models optimized for predicting the asthmatic occurrence are designed. The average error rate of the model was about 11.86%, indicating superior performance compared to other machine learning-based algorithms. The proposed model can be used for efficiency in the national insurance system and health budget management, and can also provide efficiency in the deployment and supply of medical personnel in hospitals. And it can also contribute to the promotion of national health through early warning of the risk of outbreak by atmospheric environment for chronic asthma patients.
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