• International Journal of Contents
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• v.16 no.4
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• pp.39-49
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• 2020

The goal of this research was to understand the patterns of multidimensional engagement in MOOCs. An email with an online survey link was sent to enrollees in an MOOC course. The survey included 35 questions asking about engagement, teaching presence, and learning persistence. The items were validated in the literature, revised for the MOOC setting, reviewed by four professionals in the field of educational technology, and used in the study. A heterogeneous group of 170 individuals gathered through convenience sampling participated in the study. With cluster analysis of the engagement data, three groups were identified: Cluster1, 2, and 3. Cluster 1 scored high on behavioral, emotional, and cognitive engagement. Cluster 2 scored high on behavioral aspects but low on emotional and cognitive engagement. Cluster 3 scored low on behavioral and cognitive engagement but high on emotional aspects. The study addressed cluster-specific learner characteristics and differences in perceived teaching presence and learning persistence. Design strategies pertaining to each cluster were further discussed. These strategies may guide instructors and practitioners in the design and management of MOOCs and should be further validated through future studies.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.26-31
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• 2022

자연어처리에서 데이터는 굉장히 많은 부분을 차지하고 중요한 역할이지만, 데이터로 인한 윤리적 이슈 또한 많이 나타난다. 본 연구는 자연어처리에서의 데이터 흐름의 과정에서 나타날 수 있는 윤리적 이슈를 단계별로 정리하였다. 이는 복잡한 자연어처리 과정의 특성과 자연어처리 분야에서 나타나는 상황을 모두 고려한 것이다. 또한 단계별로 정리한 이슈를 토대로 자연어처리가 더 나은 방향으로 나아가기 위한 데이터 관점에서의 미래 방향을 제시하였다.

• Applied Microscopy
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• v.50
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• pp.11.1-11.3
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• 2020

The human turbinate-derived mesenchymal stem cells (hTMSCs), which were DiI-labeled and transplanted into the subretinal space in degenerating mouse retina, were observed in retinal vertical sections processed for rhodopsin (a marker for rod photoreceptor) by confocal microscope with differential interference contrast (DIC) filters. The images clearly demonstrated that DiI-labeled hTMSCs have rhodopsin-immunoreactive appendages, indicating differentiation of transplanted hTMSC into rod photoreceptor. Conclusively, the finding suggests therapeutic potential of hTMSCs in retinal degeneration.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.301-303
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• 2021

최근 COVID-19 때문에 교육 및 모임 등 다양한 환경을 비대면으로 진행하고 있다. 이에 따라 메타버스 개념이 새로운 이슈로 주목받고 있다. 본 작품은 메타버스, 즉 3차원 가상공간의 새로운 세계에서 사용자를 대신하여 참여시킬 수 있는 아바타를 제작해 본다. 메타버스를 활용한 사용자의 움직임을 인식하는 3D 아바타는 코로나 사태로 인한 언택트 시대에 매우 유용하게 활용될 수 있을 것이다. 본 논문에서는 사용자가 각종 비대면 미팅에 자신의 아바타를 만들어 참여할 수 있도록 그 아바타를 움직임과 함께 구현하는 과정을 설명한다. 먼저, Kinect를 통해 사용자의 움직임을 받아 유니티를 연동시켜 불러온다. 다음으로 블렌더를 통해 사용자가 원하는 아바타를 제작하고 유니티 환경에서 사용자의 움직임을 실시간으로 반영하는 아바타를 나타낸다. 사용자는 자신의 행동을 그대로 반영시켜주는 3D 아바타를 가상현실 속 화면을 통해 확인할 수 있다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.379-383
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• 2021

감정 분석은 텍스트 데이터에서 인간이 느끼는 감정을 다양한 감정 유형으로 분류하는 것이다. 그러나 많은 연구에서 감정 분석은 긍정과 부정, 또는 중립의 극성을 분류하는 감성 분석의 개념과 혼용되고 있다. 본 연구에서는 텍스트에서 느껴지는 감정들을 다양한 감정 유형으로 분류한 감정 말뭉치를 구축하였는데, 감정 말뭉치를 구축하기 위해 심리학 모델을 기반으로 분류한 감정 어휘 사전을 사용하였다. 9가지 감정 유형으로 분류된 한국어 감정 어휘 사전을 바탕으로 한국어 영화 리뷰 말뭉치에 9가지 감정 유형의 감정을 태깅하여 감정 분석 말뭉치를 구축하고, KcBert에 학습시켰다. 긍정과 부정으로 분류된 데이터로 사전 학습된 KcBert에 9개의 유형으로 분류된 데이터를 학습시켜 기존 모델과 성능 비교를 한 결과, KcBert는 다중 분류 모델에서도 우수한 성능을 보였다.

• Educational Technology International
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• v.20 no.1
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• pp.1-24
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• 2019

The purpose of this study is to determine priorities for designing digital citizenship education based on the key indicators of importance-performance. Survey data were collected from 283 university students in South Korea and analyzed with Importance-Performance Analysis to diagnose the current level of digital citizenship and draw their needs for educational treatment. The results showed that for all the factors except the Technical Skills (TS), the level of importance was significantly higher than that of performance. Another finding indicated that in the Importance-Performance matrix all the factors were located in the first quadrant (i.e. maintaining the current state) and the third quadrant (i.e. low demands for improvement). Specifically, two items located in the second quadrant where urgent treatment is required could have to do with the increasingly active participation in socio-political issues raised in South Korea. This study offered a window into what to focus on when designing digital citizenship education based on the systematic analysis of the needs for digital citizenship education in South Korea.

• Bulletin of the Korean Chemical Society
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• v.34 no.6
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• pp.1755-1762
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• 2013

A graphene-Zn/Al layered double hydroxide composite film was simultaneously prepared by electrochemical deposition on the surface of a glassy carbon electrode (G-LDH/GCE) from the mixture solution containing GO and nitrate salts of $Zn^{2+}$ and $Al^{3+}$. The modified electrode showed good electrochemical performances toward the simultaneous electrochemical detection of hydroquinone (HQ), catechol (CA) and resorcinol (RE) due to the unique properties of graphene (G) and LDH such as large active surface area, facile electronic transport and high electrocatalytic activity. The redox characteristics of G-LDH/GCE were investigated with cyclic voltammetry and differential pulse voltammetry. The well-separated oxidation peak potentials, corresponding to the oxidation of HQ, CA and RE, were observed at 0.126 V, 0.228 V and 0.620 V respectively. The amperometric response of the modified electrode exhibited that HQ can be detected without interference of CA and RE. Under the optimized conditions, the oxidation peak current of HQ is linear with the concentration of HQ from 6.0 ${\mu}M$ to 325.0 ${\mu}M$ with the detection limit of 0.077 ${\mu}M$ (S/N=3). The modified electrode was successfully applied to the direct determination of HQ in a local tap water, showing reliable recovery data.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.90-104
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• 2020

It is difficult for non-experts to build machine learning (ML) models at the level that satisfies their needs. Deep learning models are even more challenging because it is unclear how to improve the model, and a trial-and-error approach is not feasible since training these models are time-consuming. To assist these novice users, we examined how interactive and explainable feedback while training a deep learning network can contribute to model performance and users' satisfaction, focusing on the data preparation process. We conducted a user study with 31 participants without expertise, where they were asked to improve the accuracy of a deep learning model, varying feedback conditions. While no significant performance gain was observed, we identified potential barriers during the process and found that interactive and explainable feedback provide complementary benefits for improving users' understanding of ML. We conclude with implications for designing an interface for building ML models for novice users.

• Korean Journal of Veterinary Service
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• v.37 no.2
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• pp.137-141
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• 2014

A captive mute swan (Cygnus olor) in the brooding period was found dead without any specific signs. On necropsy, the entire digestive tract was severely necrotized with loosely adherent pseudomembranes, and Clostridium perfringens (CP) colonies isolated from the intestinal contents were identified as CP type A by polymerase chain reaction. Microscopically, the intestine and the liver were necrotized and intralesional bacterial clusters were observed. In this case, there were no other mortalities, so the condition of a single bird, in particular, stress from incubation effort, could act as the predisposing factor for necrotic enteritis. In this study, we report a unique case of necrotic enteritis associated with incubation in a captive mute swan.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.174-176
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• 2015

Many students have ever experienced difficulties due to lack of space in schools. In this paper we propose design and implementation of an mobile application for reserving an empty classroom using a smartphone. It can improve the utilization of facilities and provide convenience for students.