• The Journal of Korean Association of Computer Education
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• v.19 no.5
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• pp.11-25
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• 2016

This study aims to investigate the effect of reflection on learning outcomes in higher education. Undergraduates enrolled in 3 courses about computer education were involved in the study. They wrote reflective notes with guided questions over six times throughout a semester, and then their task value, learning engagement and academic achievement were measured followed by a survey and interviews to investigate students' responses. As a result, positive influence of the reflective activities was found in cognitive, behavioral and emotional learning engagement and learning achievement. For further studies, the development of reflective strategies for learning motivation and collaborative reflection was suggested.

• Journal of Semiconductor Engineering
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• v.2 no.2
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• pp.130-135
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• 2021

Recently, deep neural networks (DNNs) are actively used for action control so that an autonomous system, such as the robot, can perform human-like behaviors and operations. Unlike recognition tasks, the real-time operation is essential in action control, and it is too slow to use remote learning on a server communicating through a network. New learning techniques, such as reinforcement learning (RL), are needed to determine and select the correct robot behavior locally. In this paper, we propose an energy-efficient DNN processor with a LUT-based processing engine and near-zero skipper. A CNN-based facial emotion recognition and an RNN-based emotional dialogue generation model is integrated for natural HRI system and tested with the proposed processor. It supports 1b to 16b variable weight bit precision with and 57.6% and 28.5% lower energy consumption than conventional MAC arithmetic units for 1b and 16b weight precision. Also, the near-zero skipper reduces 36% of MAC operation and consumes 28% lower energy consumption for facial emotion recognition tasks. Implemented in 65nm CMOS process, the proposed processor occupies 1784×1784 um2 areas and dissipates 0.28 mW and 34.4 mW at 1fps and 30fps facial emotion recognition tasks.

• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.645-652
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• 2008

First question: what makes inclusive design truly inclusive? Most inclusive design products are far from being appealing to their intended customers. This is mainly because designers are typically concerned with enhancing the usability, and not the emotional value that creates the connection between the product and the users. Typical solutions are larger displays and larger buttons, and these solutions often make the product less tasteful, graceful, and favorable. As a result, such products become less inclusive, veering from the original intention of the designers. Emotional design is not about making fun products, but about enjoyable products. Positive emotional design increases the affection value in products that enable users to create emotional connection with products. With the emotional connection, the user can engage in learning about the product as well as enjoy using the product. This can also resolve most usability issues by increasing the attention level and decreasing boredom. When more people feel that a product is enjoyable, it becomes more inclusive. Second question: Can't inclusive design have innovative value? Most inclusive design products are far from being innovative, and thus, they cannot create market opportunities. While emotional design approach increases value for users, innovative design approach creates value for the businesses. This will eventually promote development of inclusive products. This paper discusses the benefits of emotional design approach in inclusive design. It also argues how emotional design can help make inclusive design more innovative. Accompanied exemplar design process illustrates how emotional design contributes to inclusive design and how it leads to innovative products.

• Journal of The Korean Association of Information Education
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• v.17 no.3
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• pp.305-316
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• 2013

Despite the potential implications of Facebook use, there is a distinct lack of empirically derived theory for designing learning environment. This may be because Facebook is a social tool and there has been limited opportunity for exploratory research regarding Facebook based learning. Therefore, the purpose of this study is to investigate learning presence factors affecting learning outcomes in Facebook-based collaborative learning. Forty two college students participated in the Facebook-based collaborative learning activity, and the data from thirty nine were used for step-wise multiple regression analysis. In addition focus group interview was conducted to examine learning presence of Facebook-based collaborative learning. The results reported that cognitive presence predicted significantly learning outcomes, however, social and emotional presence did not predict learning outcomes. The implication of this study and future research were discussed in this research.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.2
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• pp.146-154
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• 2018

Purpose: In this study, effects of positive, negative, and mixed verbal feedback were examined for accuracy of self-assessment, emotional responses, self-efficacy, and perceived quality of feedback in skill performance assessment. Methods: Participants were a convenience sample of 104 second-year nursing students who had completed their fundamentals of nursing class. Participants were assigned randomly to a positive, a negative or a mixed feedback group. All participants completed the performance measure and then received the assigned the type of feedback from an evaluator. After delivery of feedback, they assessed their own performance using the same sheet as the evaluator and completed the survey for emotional response, self-efficacy for learning, and quality of feedback. Results: There were no significant differences in accuracy of self-assessment and perceived quality of feedback among the three groups ($x^2=4.74$, p=.094; $x^2=3.30$, p=.192, respectively). The negative feedback group had significantly lower self-efficacy and positive emotions and more negative emotions than the other two groups (F=9.43, p=.009; $x^2=16.29$, p<.001; $x^2=5.69$, p=.005, respectively). Conclusion: Negative feedback can affect emotions and motivations for learning in nursing students and may interfere with the effectiveness of feedback, so instructors should pay more attention when providing negative feedback. Mixed feedback with an effect similar to positive feedback could be an alternative.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.43-55
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• 2009

The purpose of this study was to investigate the influences of environmental education program through educational theatre on student's environmental literacy of 5th graders in an elementary school in Seoul. The students were divided into an experimental group and a control group. Then, the experimental group had the emotion-centered environmental education program using educational theatre, and the control group had the regular education process, which is a general lecture about the environment. The SPSS 12.0 program was used to analyze the results. The major result of the study was as follows. First, the researcher was able to develop and apply professor-learning model for the environment education using the educational theatre by abstracting and recreating environment-related contents from the 5th grade curriculum. Second, the study has showed that applying the emotion-centered program using the education theatre for the environment education certainly contributes to the improvement of the environment knowledge of the elementary students. Third, the emotion-centered environment education program has influenced evenly on the elements of the environment knowledge divided by the four goal levels of the environment education. Finally, the higher the student's emotional quotient is, the more improvement of the environment knowledge the student gets when using the emotion-centered environment education program using the education theatre. In conclusion, the emotion-centered environment education program using the education theatre is a usable method to the elementary schools, and has a positive effect on increasing the environment knowledge of 5th grade students. In the time of requiring the diverse environment education methods, this program is worth to try as a new education method. Therefore, it is necessary to research more on the professor-learning activities related to this study.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.441-449
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• 2021

This study was conducted to identify the factors affecting the SDLA of nursing students who experienced online-class due to COVID-19. The subjects of this study were 115 nursing students who had experienced online-class due to COVID-19 for more than one semester at a university. Data were collected through online surveys from November 18 to December 1, 2020. Factors that have a statistically significant influenced on SDLA in nursing students were 'use of emotion' in emotional intelligence (β=.42, p<.001), 'control' in resilience (β=.28, p=.001), and 'objectivity' in critical thinking disposition (β=.27, p<.001), which accounted for 62.0% of the total variance. Research and intervention to improve the emotional intelligence of nursing students were constantly needed, and it is suggested that this be considered when producing educational contents.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.279-285
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• 2021

This paper criticized that online classes during the Covid-19 period were centered on knowledge and information education, and sought ways to improve empathy as a way to improve students' sociality. The teaching-learning process was designed around the movie <(500) Days of Summer> which has the theme and story of parting and growth. On this paper the stage of empathy was divided into three stages, recognize-into, feeling-into, emotional-transaction stage. In particular, considering the process of transitioning from emotional empathy to behavioral empathy as the key to communication education, the class was designed in five stages, with an expression stage between the feeling-into stage and the emotional-transaction stage. This course is possible when learners sympathize with the work itself and reflect on their own narrative, so literary therapeutic was used, and students's response statements were collected to prove that this process is meaningful for improving empathy. In this article, the class was designed for the movie <(500) Days of Summer>, but this teaching-learning model can be applied to other contemporary film texts.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.