• Educational Technology International
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• v.10 no.1
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• pp.41-57
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• 2009

Cognitive presence, a sense of "being there" cognitively, has recently been considered as an important indicator for students' engagement in e-learning. There is, however, no widely accepted scale to measure the level of cognitive presence since most studies have put their effort to set and clarify the conceptual framework with qualitative methodology. This study reviewed existing theories on cognitive presence and related fields extensively and developed a new self-report scale for measuring the conceived level of cognitive presence. The reliability and validity of the scale was tested against 723 undergraduate students in two consecutive studies, 418 in the preliminary and 305 in the follow-up study. Three major constructs to measure the perceived level of cognitive presence were: 1) clear understanding, 2) knowledge construction, and 3) learning management. This paper reports the final results of the two independent studies.

• Journal of The Korean Association of Information Education
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• v.14 no.2
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• pp.175-187
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• 2010

This study aims to analyze the causal relationship among teaching, cognitive, social presence and the learning outcome. It also provides the base data on the development of cyber education and its management strategies. During the first semester of 2009, 802 students at W cyber university completed surveys about their learning experience in teaching presence, cognitive presence, social presence, and learning outcome. The results indicated that there was a meaningful effect of teaching presence and cognitive presence on satisfaction, and that of cognitive presence on academic achievement. Based on these results, this study suggests instructional design methods and management strategies to improve the quality of learning in cyber universities.

• Journal of Christian Education in Korea
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• v.72
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• pp.165-182
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• 2022

The purpose of this study is to explore the effect of cognitive Presence on Flow according to the level of interest among the most important factors that have an effect on academic achievement. This study targeted 162 people who took the teaching course of B University. For the study, data were collected through a survey on the level of interest, cognitive Presence, and Flow. In order to verify how cognitive presence affects flow according to the level of interest, multiple regression analysis was performed by dividing the collected data into low and high groups based on the average of the level of interest. As a result, the level of learning management of cognitive presence was .071 in the high level of interest, and the level of learning management was .143 in the low group of interest level. As a result of this, the effect of the level of learning management of cognitive presence on flow according to the level of interest was confirmed. Through the results of this study, a instructional design strategy that can be flow was suggested through supporting cognitive presence according to the level of interest.

• Journal of Christian Education in Korea
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• v.74
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• pp.255-271
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• 2023

Purpose of study: The purpose of this study is to explore the moderating effect of learning motivation in the effect of cognitive presence on cognitive regulation. Research content and method: The subjects of this study were 160 preservice teachers who are enrolled in the Faculty of Education of a university. The survey measured cognitive control, human presence, and learning motivation. Among the collected data, learning motivation was averaged. In addition, a group with low learning motivation and a group with high motivation were distinguished. Next, this study compared the averages of cognitive control by classifying the learning motivation levels. The collected data was analyzed using a multiple regression (Stepwise) method to explore the effect of cognitive presence on cognitive control. First, multiple regression analysis was performed on the entire group. Second, multiple regression analysis was performed by dividing the group with low learning motivation from the group with high motivation. Conclusions and Suggestions: As a result of the analysis, the group with high learning motivation showed a higher level of cognitive control than the group with low motivation. In the group with high learning motivation, only content understanding among the sub-factors of cognitive presence had an effect on cognitive control. In the group with low learning motivation, all factors of cognitive presence were affected.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.4
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• pp.583-599
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• 2022

This study aims to clarify the implications of rapidly growing live commerce in China by examining the multifaceted aspects of social presence, in particular to help small commerce operators and platform companies. It examines the effect of cognitive and affective social presence on consumer engagement by evaluating consumption values and trust in streamers. In this survey study, the responses of 221 individuals residing in large cities of China were analyzed using structural equation modeling. The results showed that cognitive social presence had a positive effect on consumer engagement by mediating the utilitarian value and trust in streamers. Furthermore, affective social presence had a positive effect on consumer engagement through the hedonic value and trust in streamers. Thus, our research provides a new perspective to approaching a multidimensional social presence and understanding consumer behavior in live commerce. Moreover, it contributes to the application and expansion of social presence theory in this field.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.229-238
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• 2018

The purpose of this study is to investigate the mediating effect of learners' learning flow in the effect of presence on academic achievement in web-based e-learning. For this purpose, this study analyzed the influencing relationship between the each factor based on the structural model with the learning flow as a mediator variable. Based on existing theoretical studies, learning satisfaction and academic achievement, which represent learning outcomes, are set as dependent variables, and teaching presence, cognitive presence, and social presence are set as independent variables. Data collected from a total of 256 e-learning learners were used in the analysis of this study. According to the results of the analysis, teaching presence, cognitive presence, and social presence were found to have a significant effect on academic achievement when a learning flow is a mediator variable. Concretely, teaching presence, cognitive presence, and social presence have a positive effect on the learning flow, while learning flow has a positive effect on learning satisfaction. On the other hand, learning flow has a negative effect on academic achievement. As a result of verifying the mediating effect of learning flow on the relationship between presence, learning satisfaction, and academic achievement, there was meditating effect in the aggregate. This study implies that in order to increase the level of learning satisfaction and academic achievement, it is necessary to make the teaching-learning design in the provision of contents and materials for e-learning so that the learner can feel the presence. The results of this study can be used as a basic data for seeking support and promotion strategies for enhancement of future learning flow and presence.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.1-9
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• 2022

In this study we conducted a research regarding the effect on learning immersion and perception of the learning environment by learning presence of students in the Department of aeronautical science and flight operation in the context of non-face-to-face lectures caused by COVID-19. The relationship between learning presence (cognitive presence, emotional presence, and social presence) and learning commitment showed a high correlation. The learning immersion was also found to increase when cognitive presence, emotional presence, and social presence increased in multiple regression analysis to find out the effects of cognitive presence, emotional presence, and social presence, which are sub-factors of learning presence. The advantage of non-face-to-face classes was to be the ease of learning, and the disadvantage of non-face-to-face classes was the most difficulty of the learning process in the content analysis of the non-face-to-face class environment.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.321-332
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• 2015

For the purpose of enhancing the use of social service in classrooms, this research focuses on the relationships between presence and learning flow, key words in the analysis of college classes using Facebook. The results of this study are as follow. First, social presence(${\ss}=.33$, p=.000), emotional presence(${\ss}=.29$, p= .000), cognitive presence(${\ss}=.20$, p= .010) were found to be significant according to cognitive flow experience the result of analysis of multiple regression. all regression coefficients were positive. Second, emotional presence(${\ss}=.42$, p=.000) and social presence(${\ss}=.27$, p=.000), cognitive, presence(${\ss}=.17$, p=.015) were found to be significant according to emotional flow experience the result of analysis of multiple regression. all regression coefficients were positive. Third, social presence(${\ss}=.37$, p=.000) of the three variables were found to be significant according to behavioral flow experience the result of analysis of multiple regression.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.3
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• pp.289-304
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• 2010

This paper proposes a novel scheme for cooperative spectrum sensing on distributed cognitive radio networks. A fuzzy logic rule - based inference system is proposed to estimate the presence possibility of the licensed user's signal based on the observed energy at each cognitive radio terminal. The estimated results are aggregated to make the final sensing decision at the fusion center. Simulation results show that significant improvement of the spectrum sensing accuracy is achieved by our schemes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2128-2147
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• 2021

Cognitive radio systems are being implemented recently to tackle spectrum underutilization problems and aid efficient data traffic. Spectrum sensing is the crucial step in cognitive applications in which cognitive user detects the presence of primary user (PU) in a particular channel thereby switching to another channel for continuous transmission. In cognitive radio systems, the capacity to precisely identify the primary user's signal is essential to secondary user so as to use idle licensed spectrum. Based on the inherent capability, a new spectrum sensing technique is proposed in this paper to identify all types of primary user signals in a cognitive radio condition. Hence, a spectrum sensing algorithm using improved convolutional neural network and long short-term memory (CNN-LSTM) is presented. The principle used in our approach is simulated annealing that discovers reasonable number of neurons for each layer of a completely associated deep neural network to tackle the streamlining issue. The probability of detection is considered as the determining parameter to find the efficiency of the proposed algorithm. Experiments are carried under different signal to noise ratio to indicate better performance of the proposed algorithm. The PU signal will have an associated modulation format and hence identifying the presence of a modulation format itself establishes the presence of PU signal.