Many sentiment categorization systems based on machine learning methods use morphological analyzers in order to extract linguistic features from sentences. However, the morphological analyzers do not generally perform well in a customer review domain because online customer reviews include many spacing errors and spelling errors. These low performances of the underlying systems lead to performance decreases of the sentiment categorization systems. To resolve this problem, we propose a feature extraction method based on simple longest matching of Eojeol (a Korean spacing unit) and phoneme patterns. The two kinds of patterns are automatically constructed from a large amount of POS (part-of-speech) tagged corpus. Eojeol patterns consist of Eojeols including content words such as nouns and verbs. Phoneme patterns consist of leading consonant and vowel pairs of predicate words such as verbs and adjectives because spelling errors seldom occur in leading consonants and vowels. To evaluate the proposed method, we implemented a sentiment categorization system using a SVM (Support Vector Machine) as a machine learner. In the experiment with Korean customer reviews, the sentiment categorization system using the proposed method outperformed that using a morphological analyzer as a feature extractor.
Journal of the Korea Society of Computer and Information
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v.13
no.6
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pp.69-76
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2008
The biggest strength of the Internet is to enable to access information without any limitation of time and space. As the Internet and IT technologies have been developed, various kinds of teaching ways in education field such as remote lectures, video lectures, and CAI(Computer Adapted Instruction) have emerged. In terms of education, evaluation can be a basic foundation to help teach students in the next learning stage according to each student's level. In addition, it is able to give the information of students'abilities and provides proper learning programs to teach students on a case-by-case basis. The purpose of the paper is to establish evaluation system on the WWW(World Wide Web) that can reflect learning activities part of students in their evaluation scores based on the two important learning theories, Behaviorism and constructivism, which are mainly used in evaluation procedures to judge learning ability of students. This system will give information about learners, and analyze the learning interest of learners. The proposed system enables teachers to evaluate learning ability of students through various kinds of information of learners, and to execute level-based education.
The purpose of this study is to identify the difficulties of learners who started programming after entering college and to search an effective software education method as university liber arts for non-science major students. In order to do this, we analyzed the difficulties of learners in Python programming classes composed of students from various majors at H University through questioning and taught them using flipped class model with pre-questions. The questions that students submit are collected online before class every time, the data on the degree of the difficulty of feeling and the understanding of feeling were obtained through the questionnaire. As a result, for learners who are new to programming, the learners should allocate the process of making the problem into a logical abstraction at the beginning of the curriculum before learning the basic concept of computer language, each lesson should be practiced through the bottom-up problems enough to provide a logical understanding before actual coding. In addition, detailed curriculum should be developed according to characteristics of learner's major, contents and conducting level.
Flipped Learning is being suggested which is well known as a teaching method which lets students learn the contents they will learn in advance through the advance online video and have a discussion through the team interaction in the main class for them to solve the assignment through the cooperation in a self-initiated way. Therefore, this study was intended to confirm if the flipped learning class could improve the students' learning ability and raising the interest in math by complementing the problem on the lecture-type class by applying the flipped learning class to the college basic math subject. As a result, in the unit test result, the average score of the experimental group was more than 20 higher than one of the control group indicating that Flipped Learning had a great effect on improving the learning ability, and as for the introspection journal analysis, many subjects from the experimental group showed the positive attitude toward math they felt difficult unlike ones from control group indicating that it was effective in improving the interest level.
Journal of the Korea Academia-Industrial cooperation Society
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v.9
no.6
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pp.1830-1837
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2008
The growth of an information and knowledge based society has changed the base of education from institution-based to a learner-based system. This indicates that the educational purpose and individual characters of the learners are the primary factors for the educational success. In the information and knowledge based society, the Cyber University is a representative example of the new educational paradigm with its online communities, multi-media based education and communication among the learners. The sample of study was 1620 students of a leading cyber university in Seoul, Korea. One of the results in this study showed that satisfaction levels of learning and education do not have significant relationship with age or employment. Rather the lowering level of satisfaction after sufficient adaptation period of cyber education was raised as rising problem.
Journal of the Korea Society of Computer and Information
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v.24
no.6
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pp.37-43
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2019
This study focused on the design and development of contents using Unplugged CS method to learn computer science knowledge. With the strengthening of software education, all universities students including elementary and junior high school students are demanding knowledge of computer science centered on the computational thinking. We have developed educational contents using unplugged computing method as a way to effectively learn the concept of computer science. First, we analyze the related research of Unplugged CS theory and investigate the educational method accordingly. And we divided the areas of computer science and selected learning concepts in each area. The contents of learning were divided into basic and intermediate classes considering the level of the learner. The subject of learning contents was selected evenly in the area of computer science and it consisted of 16 basic subjects and 16 intermediate subjects based on concepts that are important in each field. In order to confirm the validity of the Unplugged CS learning topic and the development contents for computer science, we conducted expert reviews and content validity tests. As a result of the validity test, the validity of the learning topic and area selection was found to be more than .92 for the CVI value and the validity of the 32 subject learning contents was over .935 in basic level and .925 in intermediate level for the CVI values. Based on the design contents, we developed digital contents for online learning and put them in the system. We expect that this study will contribute to the understanding of computer science for all, including elementary and junior-high school students as well as students at software - oriented universities, and contribute to the spread of software education.
The Journal of the Convergence on Culture Technology
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v.7
no.4
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pp.435-440
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2021
This study examines the effectiveness of the study through a case of PBL (problem-based learning) class conducted in a balanced culture course called at 00 - University in the second semester of 2020. The effects we can achieve through learning are as follows: First, problem-based learning (PBL) has sufficient active interaction between the teacher and the learner. Second, PBL learning can actively utilize various problems that fit the characteristics of the subject and actively utilize the process of role sharing and collaboration. Third, critical perceptions of problem situations can be extended. The limitations identified in this class case are, first, the nature of the subject, "Understanding Culture and Philosophy," which makes it possible to discuss the global cultural phenomenon, but it should be discussed in terms of philosophy. Second, it is not easy to work as a team on non-face-to-face online.
International Journal of Advanced Culture Technology
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v.10
no.4
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pp.268-276
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2022
This study examined whether K-pop dance is qualified as an academic subject and how university students perceive K-pop dance as a liberal art subject. The survey was conducted with 138 students. Among the total of 138, 40 participants were male, and 53 participants were female. Fourteen(14) participants had experience with K-pop classes, and 124 participants did not have any experience with K-pop dance classes. According to the study, K-pop is a form of Korean culture that adds unique cultural and social characteristics to Koreans. It is in the cultural and art education category. In addition, K-pop dance is a socio-cultural phenomenon characterized by dance. However, K-pop dance is not qualified as an academic subject because it lacks theoretical foundations. The survey result also revealed that the students did not perceive that K-pop dance had personal, aesthetic, social, or educational value. They did not want to take a class if K-pop dance is offered as an academic subject in liberal art class. When analyzing the data by gender and experiences with dance classes, there was a difference based on gender in the two questions. In the case of females, they responded to having fun and joy from K-pop dance, while male respondents did not. Regarding the learners' interest in Kpop dance class, female respondents were more optimistic about the learner interest than male respondents. In conclusion, K-pop dance is a sociocultural phenomenon, and many informal online courses are created daily, spreading everywhere. However, the status of K-pop dance as an academic area is not set up yet.
KSII Transactions on Internet and Information Systems (TIIS)
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v.17
no.1
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pp.1-15
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2023
The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.
Journal of the Korean Society of Earth Science Education
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v.10
no.3
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pp.262-277
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2017
Digital textbooks enable learning that is appropriate to the characteristics and level of learners through various interactions. The purpose of this study was to develop an instruction model that can more effectively use digital textbooks in elementary science classes and to verify its effectiveness. The results were as follows. The instruction model for helping learners complete their learning by using digital textbooks needs to receive diagnostic assessment and feedback on entry behavior, to build a self-directed learning environment, and to interact with teachers, students, and digital textbooks as scaffolding. In this study, we developed an instruction model using digital textbooks reflecting these characteristic. The instructional model consists of preparation, practice and solidity step. In the preparation step, the learner performs a diagnostic evaluation using digital textbooks. Based on the results, feedback provided at each level can complement the entry behavior and maintain interest in learning activities. In the practice step, self-directed learning is implemented using diverse functions of digital textbooks and various types of data. In the solidity step, learners can internalize the learning contents by reviewing video clips which are provided by teachers, performing problem-solving activities, and accessing outcomes accumulated by learners in the community online. In order to verify the effectiveness of this model, we selected the "Weather and our Life" unit. This experiment was conducted using 101 students in the 5th grade in B Elementary School in Gwangju Metropolitan City. In the experimental group, 50 students learned using a smart device that embodies digital textbooks applied with the instruction model. In the comparative group, 51 students were taught using the paper textbooks. The results were as follows. First, there was a significant effect on the improvement of the learning achievement in the experimental group with low academic ability compared with the comparative group with low academic ability. Second, there was a significant effect on self-directed learning attitude in the experimental group. Third, in the experimental group, the number of interactions with the learner, teacher, and digital textbook was higher than the comparative group. In conclusion, the digital textbooks based on the instruction model in elementary science classes developed in this study helped to improve learners' learning achievement and self-directed learning attitudes.
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