• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.147-158
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• 2021

The purpose of this study is to perform of composition of young children teacher's verbal interactions and problem solving strategies by semantic network analysis. The data was collected the narrative of teacher in young children's environmental education. Additionally, this study used categories as a unit of analysis in order to find out structural characteristics. The results of this study were as follows. First, teacher's verbal interactions, providing information was the most cental, high influence appeared along with integration. Second, teacher's problem solving strategies, suggestion was the most cental, high influence appeared along with divergent thinking. Third, teacher's verbal interactions and problem solving strategies, suggestion was the most cental, providing information and divergent thinking appeared a strong connection. Besides, suggestion and decision were mediated by concern of problem, assessment appeared connection. Through these results from this study it is suggested that in order to interact and support problem solving process in young children's environmental education, teacher education to respond and understand contextually with young children is necessary.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.370-377
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• 2010

An Intelligent service robot performs various complex tasks in dynamic environment, providing useful intelligent services for human users. The robot needs to continuously monitor dynamically changing environment and reactively choose the best behavior for the changing context. The selected behaviors may include nondeterministic or parallel actions. In this paper, we present a structured reactive robot programming language, SPRIT that is based on Structured Circuit Semantics (SCS). SPRIT is fully implemented as a task executor and tested for reactive robot tasks in dynamic environment to show that it can be used to explicitly represent and effectively implement the complex reactive behaviors of intelligent robot systems.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.137-146
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• 2014

This study investigated the effects of response prompting through 3-steps compliance training to reaction time for child with Asperger's syndrome(AS). The participant was 3 and 8 year-old boy who was diagnostic As with non-compliant, delayed receptive language. Study design was multiple-baseline across behaviors. Target Behaviors were hands-up, following direction, and answering behavior. Dependent variable was latency reaction time during compliance training. This results mean that reaction time was increased raise hands-up behavior, compliance behavior and response ask questions. During intervention, the participant improve the rate on-task behavior as well as reduce off-task behaviors.

• Korean Journal of Childcare and Education
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• v.6 no.1
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• pp.67-93
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• 2010

The purpose of the present study was to examine how 25~36-month-old toddlers' temperament, mother's rearing attitude, teacher interaction relates to their language abilities and to analyze the predictive power of these variables in predicting language ability. The subjects were 206 toddlers, 206 mothers and 38 class teachers at child care center in G metropolitan city. The collected data were analyzed using Pearson's correlation analysis and stepwise multiple regression analysis on SPSS program. The results of this study were as follow. First, there was a significant relationship between mother's rearing attitude, teacher interaction and toddlers language abilities. However, toddlers' temperament showed no significant correlations with toddlers language abilities. Second, teacher's positive attitude was the best predictor of toddlers language abilities. Toddlers' reactivity and mother's rational guidance were also predictors of toddlers' language abilities.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.41-49
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• 2019

We are to build an unsupervised machine learning-based language model which can estimate the amount of information that are in need to process words consisting of subword-level morphemes and syllables. We are then to investigate whether the reading times of words reflecting their morphemic and syllabic structures are predicted by an information-theoretic measure such as surprisal. Specifically, the proposed Morfessor-based unsupervised machine learning model is first to be trained on the large dataset of sentences on Sejong Corpus and is then to be applied to estimate the information-theoretic measure on each word in the test data of Korean words. The reading times of the words in the test data are to be recruited from Korean Lexicon Project (KLP) Database. A comparison between the information-theoretic measures of the words in point and the corresponding reading times by using a linear mixed effect model reveals a reliable correlation between surprisal and reading time. We conclude that surprisal is positively related to the processing effort (i.e. reading time), confirming the surprisal hypothesis.

• Proceedings of the KSLP Conference
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• 1997.11a
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• pp.262-262
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• 1997

말더듬(stuttering)이란 언어-운동조절의 장애를 일으키는 운동장애(movement disorder)의 일종으로 혀, 입술, 후두를 이루는 근육과 호흡근육 등의 시간적인 부조화(inappropriate timing)로 특징지어지는 유창성장애(fluency disorder)의 하나로 인식되어 왔다. 여태까지 행동치료(behavioral treatment), 정신과적인 치료(psychiatric modalities)등이 치료의 방법으로 이용되어왔으며, 초기에는 비교적 좋은 반응을 보이나 지속적인 효과에 대해서는 회의적인 경우가 많았다. (중략)

• Proceedings of the Korean Society for Language and Information Conference
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• 2001.06a
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• pp.269-282
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• 2001

이 논문은 한국어 간접인용조사 ‘고’가 종결표지로 사용될 때 발생하는 화용적 기능을 설명한다. [묘출발화/사고(RST)의 관점에서 1인칭 화자와 3인칭 인물 사이의 관계 개념에 근거하여, 인용 정보에 대한 화자의 반응이 언어적으로 수용되는 과정에 대한 표상의 문제를 취급한다. 인용 명제에 대해 화자가 취하는 주관적 관점을 평가하기 위해 필요한 요인들을 변별하여 주고, 1인칭 화자의 내적 판단 영역이 인용의 정보 상태와 대응하기 위해 필요한 제약들을 파악한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.501-512
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• 2018

The aims of this study were to investigate the effects of verbal violence experienced during clinical practice, emotional responses, academic stress coping, and depression on professional self-concepts of nursing students. Data were collected through a self-reported structured questionnaire form given to nursing students in grades 3-4 using convenient sampling methods from October 25 to November 1, 2017. As a result, 41.9% of the subjects experienced verbal violence during clinical practice. The frequency of experiences for verbal violence was '1 time' at 16.9%, '2 times' at 15.5%, and '3 times' at 4.7%. The verbal violence attackers were patients (42.9%), nurses (37.7%), and protector (15.5%). Emotional response was positively correlated with depression and frequency of verbal violence. Academic stress coping had a negative correlation with depression and a positive correlation with professional self-concept. Depression was negatively correlated with professional self-concept. Multiple regression analysis showed that academic stress coping and depression were statistically significant variables in the professional self-concept, and these variables had a 28% explanatory power. Therefore, in order to improve the professional self-concept of nursing students, it is necessary to develop a strategy to raise the level of academic stress coping and to reduce depression.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.47-54
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• 2020

Developmental disorders are impairments of brain and/or central nervous system and refer to a disorder of brain function that affects languages, communication skills, perception, sociality and so on. In diagnosis of developmental disorders, behavioral response such as expressing emotions in proper situation is one of observable indicators that tells whether or not individual has the disorders. However, diagnosis by observation can allow subjective evaluation that leads erroneous conclusion. This research presents the technological environment and data acquisition system for AI based screening of autism disorder. The environment was built considering activities for two screening protocols, namely Autism Diagnostic Observation Schedule (ADOS) and Behavior Development Screening for Toddler (BeDevel). The activities between therapist and baby during the screening are fully recorded. The proposed software in this research was designed to support recording, monitoring and data tagging for learning AI algorithms.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.214-216
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• 2011

Statechart는 상태 기계를 기반으로 하는 정형 명세 언어로 반응형 시스템의 행위를 상태와 그 상태에서 받는 이벤트에 의한 전이로 표현한다. 프로세스 알제브라의 한 종류인 ACSR은 이벤트 기반으로 프로세스들 간의 통신과 프로세스의 우선 순위, 자원 소모 등의 표현 이 용이한 정형 명세 언어이다. 본 논문에서는 서로 다른 관점의 명세를 하는 이 두 가지 언어가 서로를 보완하여 ACSR을 이용하여 Statechart의 공유 자원에 대한 사용과 제어를 표현하여 보다 시스템을 정확하게 명세할 수 있는 언어를 제시한다. 이를 위해 두 언어의 연결을 위한 정형적 문법과 의미를 제시한다.