• KIISE Transactions on Computing Practices
• /
• v.20 no.12
• /
• pp.640-645
• /
• 2014

We now live in a society that is highly information-oriented, and as a result programming education has become more important and is emphasized day by day. Currently, there is strong support for carrying out programming education in early childhood, and various Web-based services have launched to provide programming education. Currently, Web-based programming education services have not yet launched in Korea. In particular, Web-based education services for C language programming, which is used in various areas in industry, are lacking due to limitations in the development environments. In this paper, we design and implement a Web-based programming learning system, 'ICANC', to provide the necessary information to learn and practice the C language.

• Journal of The Korean Association For Science Education
• /
• v.33 no.5
• /
• pp.932-951
• /
• 2013

This study was initiated to address multicultural students' science learning, which is expected to be our assets for the next generation. By understanding their ideas of science learning and cultural context, we intend to encourage them and urge our science education communities to be interested in multicultural science education in Korea. We interviewed elementary and secondary school multicultural students, their parents, and teachers who have ever taught them. The interview revealed that they needed language-based support to improve their science learning. It seemed to be a serious problem that teachers' and students' expectancy toward multicultural students were low. We should put into practice scientific literacy for all students through the multicultural science education in our own context with school-based systematic support.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.12
• /
• pp.2775-2782
• /
• 2010

In this paper, we propose a web-based programming class support system to help a lecturer to teach a programming language to students effectively. The proposed system is composed of a error analysis step and a verification step. The error analysis step checks whether there are compile time errors or run time errors in each student's submitted program. Given some errors, the system provides helpful feedback for the student to fix the errors. On the contrary, the system provides quick feedback after checking the source code style, comments, and plagiarism in the submitted program. As soon as the student submits the program, the student can see the check results. According to the result of utilizing the proposed system in a C programming language class, students tend to submit program assignments actively.

• Journal of Korean language education
• /
• v.29 no.2
• /
• pp.73-100
• /
• 2018

The purpose of this study is to investigate learner-learner dialogue during speaking tasks. In the Korean language classroom, conversation between learners is an important activity as speaking practice. However, learner dialogue is also a tool to enable learners to collaboratively conduct various cognitive activities in the classroom. In previous research, it was unfolded that through learner-learner dialogue, learners can solve second-language related problems and set a goal to carry out tasks. Therefore, this study analyzed learner-learner dialogue to investigate what kinds of cognitive activities are activated during the role-play task. As a result, the learners collaboratively generated and monitored language and content for role play. Also, in order to accomplish tasks more successfully, learners shared the same understanding about the goal of the task, and tried to manage the task procedure. Through learner-learner dialogue, learners can participate in cognitive activities such as content, language construction, and task management voluntarily without the help from teachers. This means that learner-learner dialogue can be an activity to support language learning tasks. Also, it can make learners actively involved in learning and by sharing resources with each other. It is also important that learners can experience language use that participates in real-world communication activities, such as learning in the classroom and collaborating with peer learners. This study is an exploratory study for a basic understanding of learner's conversation as a cognitive activity, and the scope of the study is limited to clarifying contents of learner-learner dialogue as a cognitive activity in speaking tasks. Based on the findings of this study, future research should be conducted on the function of learner-learner dialogue as a cognitive activity in Korean language learning and its role in the classroom of Korean language education.

• International journal of advanced smart convergence
• /
• v.7 no.4
• /
• pp.128-137
• /
• 2018

In the programming education, there is a great need of a teaching support system that can support the learner in the programming process regardless of the computer language due to instructor's difficulty of checking the progress of learners in real-time. Its importance is especially important in lower grade coding classes such as in K-12 education because they are not used to coding and so simple problems can be regarded as complex problems. For this, a pilot coding education support system based on Levenshtein distance algorithm which shows learners' progress to given solution in real-time was developed in order to help learners to solve complex problems easily, and the learners' motivation and self-efficacy was measured for estimating the usefulness of developed system targeting elementary school students. When the learners use the developed system, it was found that a statistically significant difference appears in the sub-factors of learning motivation compared with traditional class teaching environments. Among the sub-factors of self-efficacy, the efficacy dimension showed statistically significant difference too.

• Journal of Venture Innovation
• /
• v.6 no.1
• /
• pp.161-179
• /
• 2023

More than 2 million foreigners were staying in Korea. In this study, the effect of individual and environmental characteristics of foreign workers on organizational commitment was empirically analyzed. A research model for empirical analysis was established. A research model was established independent variables by dividing them into four parts: personal desire, adaptability, organizational life, and social support and setting organizational commitment as dependent variables. Based on this research model, data collection for analysis was conducted in a survey method for foreign workers in Korea. An empirical analysis was conducted using SPSS 24 based on 200 valid sample of the respondents. The results of the empirical analysis were as follows. First, it was found that foreign workers' desire for achievement, language adaptability, relationships with supervisors and colleagues, future vision of jobs, and social support had a significant positive (+) effect on organizational commitment. On the other hand, the significant influence relationship of cultural adaptability was not tested. Second, factors that significantly affect organizational commitment was in the order of social support, relationships with supervisors and colleagues, future vision of jobs, language adaptability, and desire for achievement. Based on these research results, academic implications were presented, and practical implications were presented to increase the organizational commitment of foreign workers.

• Journal of Multimedia Information System
• /
• v.5 no.3
• /
• pp.147-154
• /
• 2018

Natural language processing (NLP) is an emerging research area in which we study how machines can be used to perceive and alter the text written in natural languages. We can perform different tasks on natural languages by analyzing them through various annotational tasks like parsing, chunking, part-of-speech tagging and lexical analysis etc. These annotational tasks depend on morphological structure of a particular natural language. The focus of this work is part-of-speech tagging (POS tagging) on Hindi language. Part-of-speech tagging also known as grammatical tagging is a process of assigning different grammatical categories to each word of a given text. These grammatical categories can be noun, verb, time, date, number etc. Hindi is the most widely used and official language of India. It is also among the top five most spoken languages of the world. For English and other languages, a diverse range of POS taggers are available, but these POS taggers can not be applied on the Hindi language as Hindi is one of the most morphologically rich language. Furthermore there is a significant difference between the morphological structures of these languages. Thus in this work, a POS tagger system is presented for the Hindi language. For Hindi POS tagging a hybrid approach is presented in this paper which combines "Probability-based and Rule-based" approaches. For known word tagging a Unigram model of probability class is used, whereas for tagging unknown words various lexical and contextual features are used. Various finite state machine automata are constructed for demonstrating different rules and then regular expressions are used to implement these rules. A tagset is also prepared for this task, which contains 29 standard part-of-speech tags. The tagset also includes two unique tags, i.e., date tag and time tag. These date and time tags support all possible formats. Regular expressions are used to implement all pattern based tags like time, date, number and special symbols. The aim of the presented approach is to increase the correctness of an automatic Hindi POS tagging while bounding the requirement of a large human-made corpus. This hybrid approach uses a probability-based model to increase automatic tagging and a rule-based model to bound the requirement of an already trained corpus. This approach is based on very small labeled training set (around 9,000 words) and yields 96.54% of best precision and 95.08% of average precision. The approach also yields best accuracy of 91.39% and an average accuracy of 88.15%.

• IE interfaces
• /
• v.20 no.3
• /
• pp.257-266
• /
• 2007

To survive in rapidly changing business environment, the enterprises of all over the world are trying to integrate their IT infra structure and are trying to automate their business process. Service Oriented Architecture (SOA) is being accepted as an IT standard to support efficient system integration and flexible business process automation between enterprises or departments. The material control system is required this software architecture between manufacturing company and materials supply vendors. This paper introduces concept of SOA, relevant technology about SOA such as Web Services and Business Process Execution Language (BPEL) and Enterprise Service Bus (ESB) and describes how to automate materials control process by designing the material control system based on SOA. The analysis of requirements is proceeded by Unified Modeling Language (UML) and SOA delivery strategy is selected the top-down strategy. And this paper describes how to derive services and operations and how to arrange services in three service layers and how to design business process.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.19-27
• /
• 2020

On an offshore plant topside, various types of offshore facilities for processing energy resources, such as oil and gas, and equipment and outfitting for connecting these facilities are installed in a limited space. An offshore plant superstructure is composed of numerous supporting rack structures and reinforcements for securing and supporting offshore installations and the related equipment. This paper describes the development of design support software to support this superstructure design efficiently. The developed design support software, which was based on AVEVA Marine's PML(Programmable Macro Language), supports the parametric method for superstructure design. A method of batch 3D modeling from 2D drawings for supporting rack structure produced in the basic and detailed design was also developed using AutoLisp. In addition, through the application example of superstructure module design, the design support software introduced in this paper can be expected to reduce the design time by more than 90% compared to the use of only basic functions of AVEVA PDMS.

• Language and Information
• /
• v.14 no.2
• /
• pp.159-181
• /
• 2010

This paper presents a hybrid approach to the sentiment analysis of online texts. The sentiment of a text refers to the feelings that the author of a text has towards a certain topic. Many existing approaches employ either a pattern-based approach or a machine learning based approach. The former shows relatively high precision in classifying the sentiments, but suffers from the data sparseness problem, i.e. the lack of patterns. The latter approach shows relatively lower precision, but 100% recall. The approach presented in the current work adopts the merits of both approaches. It combines the pattern-based approach with the machine learning based approach, so that the relatively high precision and high recall can be maintained. Our experiment shows that the hybrid approach improves the F-measure score for more than 50% in comparison with the pattern-based approach and for around 1% comparing with the machine learning based approach. The numerical improvement from the machine learning based approach might not seem to be quite encouraging, but the fact that in the current approach not only the sentiment or the polarity information of sentences but also the additional information such as target of sentiments can be classified makes the current approach promising.