• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.23-33
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• 2020

Online judge provides compilation, execution, and immediate feedback on the source submitted by the learner, and ensures the accuracy and reliability of the evaluation, but it's difficult to select the language according to the level of the learner because most of them provide only textual language. In this study, a block language for online judge was developed and applied to high school classes, and the difference in self-efficacy between the block language and the textual language group was confirmed. It was found that Block language group have more ability expectation to overcome disgust experience than textual language group and Textual language group have significant decrease in ability expectation to start activity and to continue activity. It implies that Block language has an effect on self-efficacy for afterward programming activities, and methods of teaching, learning and evaluation should be devised in the case of textual language so that student's self-efficacy does not deteriorate at the initial and ongoing stage of activity. The results of this study are meaningful in that it provide various implications of methods for enhancing self-efficacy in high school class of programming.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.10a
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• pp.276-280
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• 2001

In the development of Chip Mounter(C/M), much interests have risen regarding how to decrease the operation time of mounting the different chips on the printed circuit board(PCB). The existing method to determine the time sequence of teaching C/M was to follow the procedure which was made by the operater. IN this study, a new but effective algorithm has been developed and employed in SCM-130 Chip Mounter and its online programming had reduced the mounting time significantly and provided the basis for the future online CAD/CAM system.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.260-270
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• 2013

This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.179-183
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• 2020

The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.

• Information Systems Review
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• v.12 no.3
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• pp.159-175
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• 2010

Although many studies have analyzed and identified the importance of intrinsic motivation in the acceptance of information technology (IT), especially hedonic systems such as online game and online shopping, the acceptance of programming languages such as Java were not studied in a view of intrinsic motivations. The objective of this study was to investigate the effects of intrinsic motivation on the acceptance of programming language by the longitudinal analysis. In the service of the objective, we suggested the research model which included both intrinsic and extrinsic motivations and longitudinally extended by belief updating theory. For the validation of this model, the university students who participated Java class were surveyed twice, and the suggested research were analyzed by partial least square (PLS). In result, most of the suggested hypotheses were supported.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.471-478
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• 2009

In this paper, we intend to relive game addiction by educating game programming for students that suffer from game addiction. We had analyzed popular games at the present day and extracted factors related to information education from game programming tool. In addition, we had designed the practical lesson plan based on the instructional design model. We had applied the game programming project to students for a year and the results were as follows. First, we verified the drop of addiction propensity by performing the examination of game addiction scale with before and after T-test. Second, according to the results of analysis based on grounded theory, it saved game time and relieved game addiction. In conclusion, this study shows that the game programming project relieved game addiction.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.379-390
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• 2020

Recently, interest in online teaching·learning and evaluation tools has increased in the context of Covid-19. In order to use tools effectively, it is necessary to identify the structural influence and causal relationship between the learner's affective and cognitive variables. In this study, to identify a causal relationship between motivation and thinking while using online judge, research and competing model were established and model fit/path analysis were performed. It was found that there was a linear causal relationship from tool usage, self-efficacy, flow, logical thinking, to computational thinking. It was confirmed that 'self-efficacy → flow', or 'flow' had mediating effect on the path from tool usage to thinking, and tool usage was not exerted to thinking through 'flow → self-efficacy'. The causality of 'logical thinking → computational thinking' was identified on the path where tool usage affects thinking ability through learning motivation, but the causality of 'computational thinking → logical thinking' was not identified.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.519-528
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• 2020

Due to COVID-19, most schools are conducting online learning. In this study, a total of 12 block-type educational programming tool classes were conducted in the form of online learning for 6th grade elementary school students, and then quantitatively and qualitatively analyzed students' perceptions of their learning experience on entry learning. As a result of the analysis, it was found that the learner easily recognized the use of the entry program and the difficulty of learning contents, and the learning satisfaction was high. When students face difficulties, it was found that they received the most help from the hint function provided by the site itself, and they were found to be less aware of the necessity of teachers when learning entry. As a result of the qualitative analysis, it was found that the learner felt a lot of novelty and fun through easy and simple operation. On the other hand, it was found that the learning contents and hints were not understood, which made them difficult and felt that the hint contents were insufficient. It was found that students felt a sense of accomplishment by creating and manipulating programs as they wish.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.267-274
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• 2024

One challenge with teaching practical programming classes is the standardization of development tools on student computers. This is particularly true when a complicated setup process is required before beginning to code, or in remote classes, such as those necessitated by the COVID-19 pandemic, where the instructor cannot provide individual troubleshooting assistance. In such cases, students who encounter problems during the setup process may give up on the class altogether before even beginning to code. Therefore, this paper recommends using GitHub Codespaces as a tool for implementing standardized student development environments from day one. Codespaces provides Docker containers that an instructor can configure in such a way as to enable students to practice installing various coding tools within a controlled space, while also providing a language-specific, fully optimized development environment. In addition, Codespaces may be used more effectively in collaboration with GitHub Classroom, which helps instructors manage both the starter code and coding environment in which students work. In this paper, we compare two semesters of university Node.JS programming classes that utilized different development environments: one localized on student computers, the other containerized in Codespaces online. Then, we discuss how GitHub Codespaces and GitHub Classroom can be used to increase the effectiveness of practical programming classes while also increasing student engagement and programming confidence in class.

• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.125-141
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• 2011

As the sales volume of online shops increases, the job burden in the back-offices of the online shops also increases. Order picking is the most labor-intensive operation among the jobs in a back-office and mid-size pure click online shops are experiencing the time delay and complexity in order picking nowadays while fulfilling their customers' orders. Those warehouses of the mid-size shops are based on manual systems, and as order pickings are repeated, the warehouses get a mess and lots of products in those warehouses are getting missing, which results in severe delay in order picking. To overcome this kind of problem in online clothing shops, we research a methodology to locate warehousing products. When products arrive at a warehouse, they are packed into a box and located on a rack in the warehouse. At this point, the operator should determine the box to be put in and the location on the rack for the box to be put on. This problem could be formulated as an Integer Programming model, but the branch-and bound algorithm to solve the IP model requires enormous computation, and sometimes it is even impossible to get a solution in a proper time. So, we relaxed the problem, developed a set of heuristics as a methodology to get a semi-optimum in an acceptable time, and proved by an experiment that the solutions by our methodology are satisfactory and acceptable by field managers.