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2022, Vol.27, No.3

  • 1.

    Prediction of drowning person‘s route using machine learning for meteorological information of maritime observation buoy

    Jung-Wook Han , Hoseok Moon | 2022, 27(3) | pp.1~12 | number of Cited : 0
    Abstract PDF
    In the event of a maritime distress accident, rapid search and rescue operations using rescue assets are very important to ensure the safety and life of drowning person’s at sea. In this paper, we analyzed the surface layer current in the northwest sea area of Ulleungdo by applying machine learning such as multiple linear regression, decision tree, support vector machine, vector autoregression, and LSTM to the meteorological information collected from the maritime observation buoy. And we predicted the drowning person’s route at sea based on the predicted current direction and speed information by constructing each prediction model. Comparing the various machine learning models applied in this paper through the performance evaluation measures of MAE and RMSE, the LSTM model is the best. In addition, LSTM model showed superior performance compared to the other models in the view of the difference distance between the actual and predicted movement point of drowning person.
  • 2.

    Probing Sentence Embeddings in L2 Learners’ LSTM Neural Language Models Using Adaptation Learning

    Euhee Kim | 2022, 27(3) | pp.13~23 | number of Cited : 0
    Abstract PDF
    In this study we leveraged a probing method to evaluate how a pre-trained L2 LSTM language model represents sentences with relative and coordinate clauses. The probing experiment employed adapted models based on the pre-trained L2 language models to trace the syntactic properties of sentence embedding vector representations. The dataset for probing was automatically generated using several templates related to different sentence structures. To classify the syntactic properties of sentences for each probing task, we measured the adaptation effects of the language models using syntactic priming. We performed linear mixed-effects model analyses to analyze the relation between adaptation effects in a complex statistical manner and reveal how the L2 language models represent syntactic features for English sentences. When the L2 language models were compared with the baseline L1 Gulordava language models, the analogous results were found for each probing task. In addition, it was confirmed that the L2 language models contain syntactic features of relative and coordinate clauses hierarchically in the sentence embedding representations.
  • 3.

    Analysis of the Current Status of the AI Major Curriculum at Universities Based on Standard of AI Curriculum

    Han Sung Kim , Doohyun Kim , Sang Il Kim and 1 other persons | 2022, 27(3) | pp.25~31 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to explore the implications for the systematic operation of the AI curriculum by analyzing the current status of the AI major curriculum in universities. To this end, This study analyzed the relevant curriculum of domestic universities(a total of 51 schools) and overseas QS Top 10 universities based on the industry demand-based standard of AI major curriculum developed through prior research. The main research results are as follows. First, in the case of domestic universities, Python-centered programming subjects were lacking. Second, there were few subjects for advanced learning such as AI application and convergence. Third, the subjects required to perform the AI developer job were insufficient. Fourth, in the case of colleges, the ratio of AI mathematics-related subjects was low. Based on these results, this study presented implications for the systematic operation of the AI major education.
  • 4.

    Contactless User Identification System using Multi-channel Palm Images Facilitated by Triple Attention U-Net and CNN Classifier Ensemble Models

    KimInKi , KIM BEOMJUN , SungHee Woo and 1 other persons | 2022, 27(3) | pp.33~43 | number of Cited : 0
    Abstract PDF
    In this paper, we propose an ensemble model facilitated by multi-channel palm images with attention U-Net models and pretrained convolutional neural networks (CNNs) for establishing a contactless palm-based user identification system using conventional inexpensive camera sensors. Attention U-Net models are used to extract the areas of interest including hands (i.e., with fingers), palms (i.e., without fingers) and palm lines, which are combined to generate three channels being ped into the ensemble classifier. Then, the proposed palm information-based user identification system predicts the class using the classifier ensemble with three outperforming pre-trained CNN models. The proposed model demonstrates that the proposed model could achieve the classification accuracy, precision, recall, F1-score of 98.60%, 98.61%, 98.61%, 98.61% respectively, which indicate that the proposed model is effective even though we are using very cheap and inexpensive image sensors. We believe that in this COVID-19 pandemic circumstances, the proposed palm-based contactless user identification system can be an alternative, with high safety and reliability, compared with currently overwhelming contact-based systems.
  • 5.

    Development and Evaluation of the V-Catch Vision System

    Kim Dong Keun , Cho, Yongjoo , Kyoung Shin Park | 2022, 27(3) | pp.45~52 | number of Cited : 0
    Abstract PDF
    A tangible sports game is an exercise game that uses sensors or cameras to track the user's body movements and to feel a sense of reality. Recently, VR indoor sports room systems installed to utilize tangible sports game for physical activity in schools. However, these systems primarily use screen-touch user interaction. In this research, we developed a V-Catch Vision system that uses AI image recognition technology to enable tracking of user movements in three-dimensional space rather than two-dimensional wall touch interaction. We also conducted a usability evaluation experiment to investigate the exercise effects of this system. We tried to evaluate quantitative exercise effects by measuring blood oxygen saturation level, the real-time ECG heart rate variability, and user body movement and angle change of Kinect skeleton. The experiment result showed that there was a statistically significant increase in heart rate and an increase in the amount of body movement when using the V-Catch Vision system. In the subjective evaluation, most subjects found the exercise using this system fun and satisfactory.
  • 6.

    Analysis of news bigdata on ‘Gather Town’ using the Bigkinds system

    Sui Choi | 2022, 27(3) | pp.53~61 | number of Cited : 0
    Abstract PDF
    Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as ‘remote’, ‘university’, and ‘freshman’, while words like ‘Metaverse’, ‘Metaverse platform’, ‘Covid19’, and ‘Avatar’ were also emphasized. Third, Network Analysis extracted ‘COVID19’, ‘Avatar’, ‘University student’, ‘career’, ‘YouTube’ as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.
  • 7.

    Efficient GPU Framework for Adaptive and Continuous Signed Distance Field Construction, and Its Applications

    Jong-Hyun Kim | 2022, 27(3) | pp.63~69 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a new GPU-based framework for quickly calculating adaptive and continuous SDF(Signed distance fields), and examine cases related to rendering/collision processing using them. The quadtree constructed from the triangle mesh is transferred to the GPU memory, and the Euclidean distance to the triangle is processed in parallel for each thread by using it to find the shortest continuous distance without discontinuity in the adaptive grid space. In this process, it is shown through experiments that the cut-off view of the adaptive distance field, the distance value inquiry at a specific location, real-time raytracing, and collision handling can be performed quickly and efficiently. Using the proposed method, the adaptive sign distance field can be calculated quickly in about 1 second even on a high polygon mesh, so it is a method that can be fully utilized not only for rigid bodies but also for deformable bodies. It shows the stability of the algorithm through various experimental results whether it can accurately sample and represent distance values in various models.
  • 8.

    Design and Fabrication of Dual Linear Polarization Antenna for mmWave Application using FR-4 Substrate

    Tea-Il Choi , Joong-Han Yoon | 2022, 27(3) | pp.71~77 | number of Cited : 0
    Abstract PDF
    In this paper, we propose 1⨯2 array antenna with dual linear polarization characteristics for mmWave band operation. The proposed antenna is designed two microstirp feeding structure and FR-4 substrate, which is thickness 0.4 mm, and the dielectric constant is 4.3. The size of 1⨯2 array antenna is 2.33 mm⨯2.33 mm, and total size of array antenna is 13.0 mm✕6.90 mm. From the fabrication and measurement results, bandwidths of 1.13 GHz (28.52〜29.65 GHz) for port 1 and 1.08 GHz (28.45 〜29.53 GHz) for port 2 were obtained based on the impedance bandwidth. Cross polarization ratios are obtained from 7.68 dBi to 16.90 dBi in case of vertical polarization, and from 7.46 dBi to 15.97 dBi in case of horizontal polarization for input port 1, respectively. Also, cross polarization ratios are obtained from 8.59 dBi to 13.72 dBi in case of vertical polarization and from 9.03 dB to 14.0 dB in case of horizontal polarization for input port 2, respectively.
  • 9.

    Blockchain Technology and the Creation of Trust : Focusing on Transparency, Immutability and Availability

    Kee-Joo Kim , Myung-Suk Lee | 2022, 27(3) | pp.79~90 | number of Cited : 0
    Abstract PDF
    'Trust' is 'believing and relying on people or things', and at the same time, it is the foundation and essential condition of existence of a specific community or society. How blockchain technology creates trust can be found in the fact that it is a technology shared by all participants. As a shared technology, blockchain itself shows three characteristics: transparency, immutability, and availability. Because it is shared, it is transparent, and because it is shared, it is immutable, which is difficult to modify or delete. In addition, since it is shared, the entire system operates normally even if some failure occurs. The significance of trust created based on this blockchain technology can be summarized in three aspects as follows. The first is to understand the problem of trust in connection with technology. Second, understanding the relationship between information and trust begins to pay attention. Third, based on the expanded information processing capability, it is possible to establish a large-scale, concrete relationship without central mediation.
  • 10.

    A Phenomenological Study on the Experiences of Nursing Students’ Hand-Washing Education Volunteer

    Yun-Jeng Kim , Eui-young Cho | 2022, 27(3) | pp.91~97 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to investigate the meaning and essence of nursing students' experience of handwashing education volunteer program. There were 10 students who participated in the handwashing education service, and data collection was conducted for two months from October to November 2021, and three focus groups were formed and interviewed. Data were analyzed by Colaizz's phenomenological research method. As a result of the study, 3 themes and 10 sub-themes were derived. The three themes were 'personal development', 'self-esteem as a pre-nursing nurse', and 'knowing the meaning of service'. Nursing students learned the meaning of service through handwashing education service, and it was found that they could experience their own inner maturity. Nursing students could see that it was a time to learn the true meaning of service through handwashing education volunteering. The results of this study provided an understanding of the educational service of nursing college students, which can be applied to the diversification of educational service programs.
  • 11.

    Development of Smart Laundry Drying System

    Nuri Kim , Huhnkuk Lim | 2022, 27(3) | pp.99~104 | number of Cited : 0
    Abstract PDF
    In this paper, we first intend to develop and introduce a smart laundry drying system for verandas that controls the drying rack by actively responding to climate change. The developed smart laundry drying system receives laundry location information through the app, then detects climate change in real time through data from the Korea Meteorological Administration such as temperature and humidity according to the location information, and automatically controls the laundry on the drying rack in case of rain. It acquires weather information through the Arduino humidity sensor and the Korea Meteorological Administration Open-API, which is used to control the switch bot by the Raspberry Pi. The user interface uses Blynk, and the switch bot controls the laundry. Our proposed system can detect bad weather and automatically control the laundry at a remote location to prevent damage to the laundry.
  • 12.

    A Study on the Subjectivity of Fashion and Environmental Pollution

    Cha Su Joung | 2022, 27(3) | pp.105~117 | number of Cited : 0
    Abstract PDF
    This study investigated how women in their 20s to 60s think about the relationship between environmental pollution and the fashion industry and categorized their perceptions. Through this, I tried to find out the direction of the fashion industry to improve environmental problems. There were four types of perceptions of fashion and environmental pollution. Type 1 recognized that the process of producing and consuming clothing causes environmental pollution, but it was a type that preferred fast fashion and valued trends. Type 2 thought that the fashion industry pollutes air and water quality, and if the price was high, recycling clothes were not purchased. Type 3 thought that the fashion industry was not the main culprit of environmental pollution, and that if you purchase clothes, you should protect the environment by wearing them for a long time. Type 4 was a type of effort to reduce environmental pollution by considering the environment first, purchasing old clothes, and changing clothes. As the importance of the environment has grown, various efforts are needed to reduce environmental pollution in the fashion field.
  • 13.

    Comparisons of the prevalence and analysis of risk factors affecting gallstone disease on Jeju Island

    Oh-Sung Kwon , Young-Kyu Kim | 2022, 27(3) | pp.119~126 | number of Cited : 0
    Abstract PDF
    The reported risk factors for gallstone disease (GD) are old age, female sex, obesity, metabolic syndrome and migrants. Many younger adults tend to live in Jeju City, where transportations are convenient and commercial activities are active. Whereas, older people tend to live in Seogwipo City, because they engaged in fisheries and agriculture. Rates of migrants and old age could affect the prevalence of GD among residents in two regions. Therefore, the purpose of this study was to compare the GD prevalence and analyze risk factors affecting GD including residencies. A total of 13,050 subjects who visited a single health medical check-up center on Jeju Island between 2012 and 2019 were included. We performed univariate and multivariate analysis to identify risk factors for GD. The prevalence of GD among residents were 5.7% in Jeju City and 5.8% in Seogwipo City, respectively. Multivariate analysis revealed that age (P=0.008), body mass index (P=0.044), high-density lipoprotein cholesterol (P=0.006) and gamma-glutamyl transferase (P=0.013) were independent factors affecting GD. The old age, mean higher body mass index, gamma-glutamyl transferase and mean lower high-density lipoprotein cholesterol were independent risk factors affecting GD. However, residencies did not affect the prevalence of GD.
  • 14.

    A Study on the Subjectivity of Pre-Physical Education Teachers on the Track and Field Practical Skill Test of Examination System for Appointing Secondary Physical Education Teachers

    Young-Seol Yu | 2022, 27(3) | pp.127~135 | number of Cited : 0
    Abstract PDF
    The purpose of this study was to explore pre-physical education teachers’ subjective perception on the athletics practical skill test of examination system for appointment secondary physical education teachers using Q-methodology. This study found three types of pre-teachers’ subjective perception on the system. Type Ⅰ is named ‘the type of specialized facility support demand’, Type Ⅱ is named ‘the type of professional technical guidance demand’. Type Ⅲ is named ‘the type of evaluation method improvement demand’ In conclusion, the pre-physical education teachers hoped for the support of specialized facilities, the opportunity to receive professional skills, and the detailed preliminary guidance on evaluation methods and procedures.
  • 15.

    Development of big data based Skin Care Information System SCIS for skin condition diagnosis and management

    Hyung-Hoon Kim , Jeong-Ran Cho | 2022, 27(3) | pp.137~147 | number of Cited : 0
    Abstract PDF
    Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.
  • 16.

    Past records for the application of arbitrary accomplice regulations to Accomplice-essential crimes

    Jong-Ryeol Park , Sang-Ouk Noe | 2022, 27(3) | pp.149~155 | number of Cited : 0
    Abstract PDF
    The view of not fully denying the application of accomplice regulations to non-punishable opponents has fallen into a formal and logical circular argument that only provides formal grounds for non-punishment and has failed to provide practical grounds. In addition, it can be said that it has a criminal policy problem contrary to the legal sentiment of the general public by not punishing the active government travel activities of non-punishable accomplices. Therefore, in order to solve this problem, it is necessary to respect the legislator's intention that general non-punishment accomplices can be punished if they exceed the 'minimum government travel commission'. Therefore, if an unpunishable accomplice acts at least within the act required to realize the constituent requirements, the application of the accomplice regulations shall be excluded, and the accomplice regulations shall be applied only if they exceed that extent. In addition, if the indispensable counterparty is a protected person or has no responsibility (possibility of expectation), it can be said that it has provided a practical basis for the inability to punish, so it can be understood as impossible to punish. This interpretation method is thought to be able to present concrete validity in marginal cases where the counterparty is more responsible by substantially presenting the basis for an unpunishable accomplice.
  • 17.

    A Study on Consumer Confidence, Satisfaction, and Repurchase Intention on Convenience Store Lunch Boxes by Food-related Lifestyle Type

    Mi-Jung Bok , Hong, Eun-Sil | 2022, 27(3) | pp.157~164 | number of Cited : 0
    Abstract PDF
    This study was to analyze consumer confidence, satisfaction and repurchase intention after categorizing food-related lifestyle among 488 consumers who had experience purchasing convenience store lunch boxes. The data were analyzed with PASW 18.0 using frequency analysis, k-means cluster analysis, crosstabs analysis and one-way ANOVA. According to findings, first of all, types of food-related lifestyle are divided into 4 groups: a type of eating out(11.7%), a type of convenience seeking(18.3%), a type of food indifference(15%), a type of dietary interest(55%). Secondly, the types of food-related lifestyle showed statistically significant difference gender, age, marital status, education, monthly average household income, monthly average allowance, job, monthly average number of lunch box buying, lunch box purchase time zone and average one cost of lunch box buying of socio-economic variables. Thirdly, convenience seeking and dietary interest type showed the highest in consumer confidence and dietary interest type showed the highest level of satisfaction and repurchase intention.
  • 18.

    A Legal Study on The Act Bill for Establishing The Game User Committee

    Seung-Yup Kyen | 2022, 27(3) | pp.165~171 | number of Cited : 0
    Abstract PDF
    In this paper, we suggest the Measures to improve the Act Bill for establishing the Game User Committee. The Act Bill has a lot of problems which are violations of criminal legalism due to unclear terms in administrative punishment and violations of The Human Right enjoying freedom of occupation and guaranting property due to not defining provisisons about The Duty of Confidentiality or The Legal Fiction as Public Officials for Purposes of Applying Penalty Provisions. also the duplicate regulations in the Act Bill disrupt game industry development. we have three results that were derived through analysis of Prior studies and precedents. The First is to define details of special reasons in enforcement ordinance and enforcement regulations. The Second is to define The Duty of Confidentiality or The Legal Fiction as Public Officials for Purposes of Applying Penalty Provisions in the act bill. The Third is to address managing the random reward items in the Game Rating and Administration Committee or is to give game user advance notice about the Comntent Dispute Mediation system.
  • 19.

    A Study on Fraud Detection in the C2C Used Trade Market Using Doc2vec

    Do Hyun Lim , Ahn, Hyunchul | 2022, 27(3) | pp.173~182 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a machine learning model that can prevent fraudulent transactions in advance and interpret them using the XAI approach. For the experiment, we collected a real data set of 12,258 mobile phone sales posts from Joonggonara, a major domestic online C2C resale trading platform. Characteristics of the text corresponding to the post body were extracted using Doc2vec, dimensionality was reduced through PCA, and various derived variables were created based on previous research. To mitigate the data imbalance problem in the preprocessing stage, a complex sampling method that combines oversampling and undersampling was applied. Then, various machine learning models were built to detect fraudulent postings. As a result of the analysis, LightGBM showed the best performance compared to other machine learning models. And as a result of SHAP, if the price is unreasonably low compared to the market price and if there is no indication of the transaction area, there was a high probability that it was a fraudulent post. Also, high price, no safe transaction, the more the courier transaction, and the higher the ratio of 0 in the price also led to fraud.
  • 20.

    The Impact of Social Network characteristics on the intention to reuse SNS: With a focus on mediating effects of TikTok users' participation and attachment

    Ya-Qing Liang , Sung-joon Yoon | 2022, 27(3) | pp.183~199 | number of Cited : 0
    Abstract PDF
    With the consumption of smart phone content increasing rapidly, the short clip market in China is rapidly growing. TikTok, a short clip platform, has achieved great business success. However, there is not much research done on TikTok platform from the customers’ perspective. To this end, this study aimed to verify the relationship between the social network characteristics on the TikTok platform, attachment toward the TikTok platform, user participation, social identity, psychological distance and reuse intention through an empirical investigation. In August 2021, a survey was conducted on consumers on the subject of TikTok platform in China. The results of the study are as follows. First, the social network characteristics significantly affected the user participation and the attachment. Second, both the attachment and the user participation had a significant impact on reuse intention. Third, user participation had a significant impact on attachment. Fourth, social identity played a significant moderating role in the relationship between social network characteristics and user participation. Fifth, Psychological distance played a significant moderating role in the relationship between social network characteristics and attachment. The results of this study are expected to provide theoretical and practical implications for research on TikTok platform.
  • 21.

    Multicriteria Movie Recommendation Model Combining Aspect-based Sentiment Classification Using BERT

    Yurin Lee , Ahn, Hyunchul | 2022, 27(3) | pp.201~207 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a movie recommendation model that uses the users’ ratings as well as their reviews. To understand the user’s preference from multicriteria perspectives, the proposed model is designed to apply attribute-based sentiment analysis to the reviews. For doing this, it divides the reviews left by customers into multicriteria components according to its implicit attributes, and applies BERT-based sentiment analysis to each of them. After that, our model selectively combines the attributes that each user considers important to CF to generate recommendation results. To validate usefulness of the proposed model, we applied it to the real-world movie recommendation case. Experimental results showed that the accuracy of the proposed model was improved compared to the traditional CF. This study has academic and practical significance since it presents a new approach to select and use models in consideration of individual characteristics, and to derive various attributes from a review instead of evaluating each of them.
  • 22.

    A Study on the Development of Software Education Program to Activate Employment for the Disabled

    Lee, Won Joo | 2022, 27(3) | pp.209~216 | number of Cited : 0
    Abstract PDF
    In this paper, we propose an effective software education program to promote employment of the disabled and verify the effectiveness of SW education through pilot operation. In this SW education program, we develop a SW curriculum consisting of the basic course, Unity programming course, and the advanced course, AR/VR digital content development course. The SW education achievement standard develops the basic and advanced course achievement standards in consideration of the level of the virtual reality content production job of the National Competency Standards(NCS) and the SW education achievement standards of youth with visual, hearing, and physical disabilities. SW education materials are developed on a project basis so that one AR/VR digital content can be implemented step by step according to the intellectual level of the disabled based on Unity. SW education pilot training is conducted as online education based on Blended Learning due to COVID-19. In order to derive the SW education effect and each learner's individual SW education academic achievement for the SW education pilot training, a survey is conducted on learners, and the results are analyzed. In the basic course, 77.3% of learners achieved academic achievement above excellent(80-90), and in the advanced course, 48.8% of learners achieved academic achievement above excellent(80-90). These results verify that the SW education program for the disabled developed in this paper is effective in activating employment for the disabled.
  • 23.

    Development of the Contents of AI Convergence Education Method Subjects and Verification of Teaching Efficacy Effectiveness for Elementary and Secondary Teachers

    Jeong-Rang Kim | 2022, 27(3) | pp.217~223 | number of Cited : 0
    Abstract PDF
    In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.
  • 24.

    The Artificial Intelligence Literacy Scale for Middle School Students

    Seong-Won Kim , Lee Youngjun | 2022, 27(3) | pp.225~238 | number of Cited : 0
    Abstract PDF
    Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.
  • 25.

    A comparative study on the Activating Factors of domestic and overseas scuba diving resorts using delphi method

    Park Sung Soo | 2022, 27(3) | pp.239~249 | number of Cited : 0
    Abstract PDF
    This study aims to analyze and compare the activating factors of domestic and overseas scuba diving resorts. Our delphi survey was conducted three times in 30 experts who involved in operation and management including scuba diving resort management representative and training team leader. As a result of comparing the activating factors at domestic versus overseas, it was found that common important activating factors included expansion of convenient facilities at public diving places, installation of safety and medical facilities for divers, development of first aid system including AED and oxygen ventilator, requirement of convenient facilities such as water lift and toilet in diving boat, installation of diving boat screw safety system, local boat operation guideline, regular course training program for scuba diving, employment of professional scuba diving instructor and guide, communication and promotion through various SNS portals, promotion by divers’ word of mouth, involvement in regional Diving Resort Association, involvement in Korean Diving Association, communication and mutual benefit with local fishing villages, and linkage policy with local tourism industry.
  • 26.

    A Study on the Standard AI Developer Job Training Track Based on Industry Demand

    Lee, Won Joo , Doohyun Kim , Sang Il Kim and 1 other persons | 2022, 27(3) | pp.251~258 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a standard AI developer job training track based on industry needs. The characteristic of this curriculum is that it can minimize the mismatch of AI developer job competency between industries and universities. To develop an AI developer job training track, a survey will be conducted for AI developers working in industrial fields. In this survey, among the five NCS-based AI developer jobs, job analysis is conducted by deriving AI developer jobs with high demand for manpower in industrial fields. In job analysis, the core competency unit elements of the job are selected, and knowledge, skills, tools, etc. necessary to perform the core competency unit elements are derived. In addition, a standard AI developer job curriculum is developed by deriving core subjects and road-map that can educate knowledge, skills, tools, etc. In addition, we present an efficient AI developer job training method using the standard AI developer job training course proposed in this paper.