• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.43-54
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• 2024

This study employs text mining techniques to compare user responses across various Over-The-Top (OTT) service platforms. The primary objective of the research is to understand user satisfaction with OTT service platforms and contribute to the formulation of more effective review strategies. The key questions addressed in this study involve identifying prominent topics and keywords in user reviews of different OTT services and comprehending platform-specific user reactions. TF-IDF is utilized to extract significant words from positive and negative reviews, while BERTopic, an advanced topic modeling technique, is employed for a more nuanced and comprehensive analysis of intricate user reviews. The results from TF-IDF analysis reveal that positive app reviews exhibit a high frequency of content-related words, whereas negative reviews display a high frequency of words associated with potential issues during app usage. Through the utilization of BERTopic, we were able to extract keywords related to content diversity, app performance components, payment, and compatibility, by associating them with content attributes. This enabled us to verify that the distinguishing attributes of the platforms vary among themselves. The findings of this study offer significant insights into user behavior and preferences, which OTT service providers can leverage to improve user experience and satisfaction. We also anticipate that researchers exploring deep learning models will find our study results valuable for conducting analyses on user review text data.

• Communications of Mathematical Education
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• v.36 no.4
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• pp.469-486
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• 2022

Counting occupies a fundamental and important position in mathematical learning due to its relation to number concepts and numeral operations. In particular, counting up to large numbers is an essential learning element in that it is structural counting that includes the understanding of place values as well as the one-to-one correspondence and cardinal principles required by counting when introducing number concepts in the early stages of number learning. This study aims to derive didactical implications by investigating the possibility of and the strategies for counting large numbers that is expected to have no students' experience because it is not composed of current textbook activities. To do this, 89 second-grade elementary school students who learned the three-digit numbers and experienced group-counting and skip-counting as textbook activities were provided with questions asking how many penguins were in a picture where 260 penguins were irregularly arranged and how to count. As a result of analyzing students' responses in terms of the correct answer rate, the strategy used, and their cognitive characteristics, the incorrect answer rate was very high, and the use of decimal principles, group-counting, counting by one, and partial sum strategies were confirmed. Based on these analysis results, several didactical implications were derived, including the need to include counting up to large numbers as textbook activities.

• Journal of the Korean earth science society
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• v.44 no.3
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• pp.222-235
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• 2023

This study developed a geological virtual reality-based field trip (VFT) to find an alternative to replace the actual field trip, which is often considered lightly by students owing to difficulties in the school. For this purpose, we selected a total of five geological learning sites that focus on the Mt. Jeoksang Muju-gun, Jeollabuk-do, Korea by evaluating the contents of the curriculum and the possibility of developing a VFT. The developed VFT provided middle-school students with an interactive space to observe and explore rocks and geological structures, including orbicular granite gneiss, tuff, conglomerate, sandstone, stratification, and joints. A semi-structured interview was conducted with the 1st-grade middle-school students to evaluate the educational value of the VFT. The responses of the students were analyzed using semantic network analysis to understand the significance of relationships between the reaction words. Results show that the students were able to sense reality through the VFT, which enabled them to understand and remember the characteristics of rocks. Therefore, students can indirectly have a sense of reality of an outdoor experience through the VFT program, which positively influences their learning. Our study shows that VFT can be effectively utilized as a meaningful learning resource in schools.

• Journal of the Korean earth science society
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• v.32 no.7
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• pp.881-901
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• 2011

The science museum in the past satisfied visitors only by interacting them with simple objects and exhibition, while one in modern times was requested to meet the need of visitors in their engagement in educational programs. To meet the visitors' need, the science museum made efforts to train, educate, and assign docents so that they can interact with visitors and serve the educational purpose of visitation. In this study, we analyzed the strengths and weakness of docent training programs from science museums/science centers nationally and internationally, to make implication on how to design a docent training and professional program. Programs from four national and four international science centers/museums were selected as a sample for analysis. Their docent training programs were compared with the data of surveys and interviews and emails from docents and docent managers/evaluators. Artifacts and documents of the docent training programs were also collected and used to construct the validity in analyzing the data, resulting in the well-developed docent training program as the critical one for enriching science museum education. The results included; First, we need to recruit and train docents who interact visitors directly but they need to be differentiated from regular volunteers for promoting science museum education for the purpose of popularization of science. Additionally, Second, we need to develop and run docent training program where docents can experience 'informal learning' exhibition interpreting strategies through the real field from mentoring from the experienced/senior docents beyond 'formal learning' exhibition content. Third, we need to equip docents with skills to make scientific literacy possible at science museum-such as experiencing scientific ethics through scientific inquiry-which happens limited at school education.

• Journal of Software Engineering Society
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• v.27 no.1
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• pp.8-14
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• 2018

As cloud computing has emerged as a hot trend in the IT industry, various types of cloud services have emerged. In addition, cloud service broker (CSB) technology has emerged to alleviate the complexity of the process of selecting the desired service that user wants among the various cloud services. One of the key features of the CSB is to recommend the best cloud services to users. In general, CSB can use a method to evaluate a service by receiving feedback about a service from users in order to recommend a cloud service. However, since each user has different criteria for giving a rating, there is a problem that reliability of service evaluation can be low when the rating is only used. In this paper, a method is proposed to supplement evaluation of rating based service by applying machine learning based sentiment analysis to cloud service user's review. In addition, the CSB prototype is implemented based on proposed method. Further, the results of comparing the performance of various learning algorithms is proposed that can be used for sentiment analysis through experiments using actual cloud service review as learning data. The proposed service evaluation method complements the disadvantages of the existing rating-based service evaluation and can reflect the service quality in terms of user experience.

• Journal of Advanced Navigation Technology
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• v.23 no.6
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• pp.597-604
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• 2019

Artificial neural networks are algorithms that simulate learning through interaction and experience in neurons in the brain and that are a method that can be used to produce accurate results through learning that reflects the characteristics of data. In this study, a model using deep neural network was presented to improve the predicted wind speed values in the meteorological dynamic model. The wind speed prediction improvement model using the deep neural network presented in the study constructed a model to recalibrate the predicted values of the meteorological dynamics model and carried out the verification and testing process and Separate data confirm that the accuracy of the predictions can be increased. In order to improve the prediction of wind speed, an in-depth neural network was established using the predicted values of general weather data such as time, temperature, air pressure, humidity, atmospheric conditions, and wind speed. Some of the data in the entire data were divided into data for checking the adequacy of the model, and the separate accuracy was checked rather than being used for model building and learning to confirm the suitability of the methods presented in the study.

• Journal of Educational Research in Mathematics
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• v.25 no.4
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• pp.675-690
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• 2015

This study explore the features of mathematical tasks as an effective means to foster pre-service primary teachers' mathematical knowledge for teaching and develop mathematical task for pre-service primary teachers. As a result, prospective teachers have while solving a mathematical task, converting a given situation to a mathematical problem, and solve problems through connections with existing knowledge, and experience seeing the existing mathematical concepts from a new perspective. Finally, we discussed the conditions for a suitable mathematical task in teacher education.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.511-516
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• 2011

Recently, the development of computing technology and experiential content for the increased interest in education and cultural facilities to target children and young people experience learning and experiential entertainment systems require a high propensity to invest and are. In this paper, for the 13.56MHz band RFID Reader and Tag RFID technology using the proposed interactive educational globe. Active tags attached to sensors attached to the globe were presented in the RFID reader, arduino and sensors in conjunction with Google Earth COM API was constructed through the physical computing educational system.

• Journal of Elementary Mathematics Education in Korea
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• v.18 no.3
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• pp.519-537
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• 2014

Teacher efficacy influences teacher's own behaviors in class and students outcomes such as achievement, motivation and their own self-efficacy. In recent years, self efficacy and teacher efficacy are becoming more popular in many educational aspects. Teacher efficacy depends on him/her and each tasks and goals. Therefore, we need special instrument for measuring mathematics teacher efficacy. On this study, we derived educationally meaningful factors on mathematics teacher efficacy from previous literature. We developed Mathematics Teaching Efficacy Instrument(MTEI) consisted of 30 items with 6-point Likert scale. The six factors are as follows; mathematics teaching efficacy expectancy, mathematics teaching outcome expectancy, mathematics teaching content knowledge, teacher belief on their own students, the past mathematics learning experience for teacher own, influence from social-cultural environment.

• Journal of Industrial Convergence
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• v.18 no.3
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• pp.83-89
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• 2020

This paper describes the effects of Novel Engineering(NE) on improvement of creative problem-solving abilities. We performed two classes for control and experience group. They are all 5th grade students. Core concept of the NE lesson is ecosystem and interaction with 8 hours long. We designed a lesson able to integrate subjects like Korean, Science and Practical Arts. Then we performed pre-and-post t-test on creative problem-solving ability. The experimental results showed that NE lesson has a high effects on 4 sub-elements like self conviction and independence, diffusion thinking, critical thinking and motivational component. The research showed that NE class is a good teaching-learning method to cultivate various competencies for our children. NE is a convergence learning model integrating various problem-solving paradigms ever researched. Thus we expect that NE is a foundation for convergence curriculum model to lead our children to their future and get settled to all schools.