• Title/Summary/Keyword: e-learning characteristics

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Understanding the Evaluation of Quality of Experience for Metaverse Services Utilizing Text Mining: A Case Study on Roblox (텍스트마이닝을 활용한 메타버스 서비스의 경험 품질 평가의 이해: 로블록스 사례 연구)

  • Minjun Kim
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.160-172
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    • 2023
  • The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.

Analysis of Instruction Design Factors for Information Communication Ethics Education of Primary and Secondary Schools by Using Conjoint (컨조인트 분석을 이용한 초·중등학교 정보통신윤리교육 수업 설계 요소 분석)

  • Park, Chan-Jung
    • The Journal of Korean Association of Computer Education
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    • v.10 no.1
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    • pp.9-19
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    • 2007
  • Recently, since the importance of the information communication ethics education for primary and secondary schools has being highlighted, researches and new instructional materials have been published actively. On the other hand, with the advance of e-learning, the various kinds of educational methods which consider the characteristics and the requirement of students are being developed. The educational method for Information Communication Ethics education is no exception. If the practical method for Information Communication Ethics education which considers students' requirements is developed, then a better educational effect can be acquired. In this paper, we decompose instructional design features into 4 components such as goal, model, contents, and media in order to design a better instruction for Information Communication Ethics education. And then, we analyze the relative importance of the instructional design components by using Conjoint method based on our questionnaire result. Finally, we propose an instructional design method for Information Communication Ethics as well as examine the differences among the instructional design components.

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The Actual State and Evaluation of Artificial Lighting on Coffee Houses Using Study Place around University (학습공간으로 이용되는 대학주변 커피전문점의 조명 실태 및 평가)

  • Choe, Sol-ji;Choi, Yoon-Jung
    • KIEAE Journal
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    • v.11 no.6
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    • pp.53-62
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    • 2011
  • This study aimed at suggesting improvement of lighting environment of the coffee house using study place. To this end, a series of field investigation was conducted in four possible target coffee houses around university. The field measurement included measurement of general illuminance and tabletop illuminance, observing illumination condition, and status of artificial lighting. Also, on-site questionnaire survey was administrated to 80 users of field measurement targets about using characteristics of coffee house and user's subjective response on light environment. The results are summarized as follows: (1) According to questionnaire survey, most of users checked 'learning (study and reading)' in 'purpose of coffee house using', and 'slightly dark' was checked most in each subjective response (brightness on general space and on tabletop at daytime/night); (2) as results of measurements on general illuminance and on tabletop illuminance during daytime, only one coffee house was suitable for standard; (3) as results of measurements on illuminance during night, all target coffee houses were not met the standard; (4) as results of uniformity ratios, almost uniformities of general illuminance were not met the standard except one case. The common problems of lighting environment of coffee house were analyzed as lack of daylight illumination e.g. having low amount of sunshine from skylight, un-uniformity of insolation by floor plan and absence of window blind, and un-uniformity of artificial luminous intensity e.g. lack of the number or brightness of artificial lighting, using the indirect lighting, using only local lighting, and non-uniform arrangement of artificial lighting.

Study on Spatial Planning of Subject-centered Clusters Using Space Syntax Methodology - Focused on the Spatial Planning of Shimin Junior School, Japan - (Space Syntax 기법을 이용한 교과교실제 과목영역별 공간계획에 관한 연구 - 일본 시민중학교 계획사례를 중심으로 -)

  • Lee, Jae Hong;Lee, Hyun-Hee
    • Journal of the Korean Institute of Educational Facilities
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    • v.24 no.4
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    • pp.15-24
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    • 2017
  • This paper aims to investigate in what extent subject-centered clusters are different from one another in terms of message system, which is composed of curriculum, pedagogy and evaluation. For this, Bernstein's pedagogic transmission code(i.e., classification and framing) and school typology(i.e., open-type or close-type) have been explored, and then applied into Shimin Junior School, Japan, in order to find out substantial characteristics between subject-centered clusters. In this case study, VGA(visibility graph analysis), as one of syntactical methodologies in space syntax theory, has been used to measure to what degree they are actually different. Throughout in-depth investigation of spatial configurations, it can be said that the square of clusters is strongly connected and integrated very well, so that it acts as an anchor place for school life within a cluster. However, it works in different ways according to message systems. In the subjects like Japanese and Science whose message system are characterized by strong classification and strong framing, integration values are relatively low, and this means that it is hard to expect cross-referencing activities through the subject squares. On the contrary, the subject of Social Studies defined by weak classification and weak framing shows the highest mean integration values, and this can be expected that there are inter-changeable learning activities in the square.

Classification of Parent Company's Downward Business Clients Using Random Forest: Focused on Value Chain at the Industry of Automobile Parts (랜덤포레스트를 이용한 모기업의 하향 거래처 기업의 분류: 자동차 부품산업의 가치사슬을 중심으로)

  • Kim, Teajin;Hong, Jeongshik;Jeon, Yunsu;Park, Jongryul;An, Teayuk
    • The Journal of Society for e-Business Studies
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    • v.23 no.1
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    • pp.1-22
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    • 2018
  • The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.

Focus Group Interview(FGI) Study on 'K-Edu' Experienced by School Teachers In COVID19 (코로나19에 대응하며 현장교사들이 경험한 'K-교육'에 대한 FGI(Focus Group Interview) 연구)

  • Choi, Sung-Kwang;Choi, Mi-Jung
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.2
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    • pp.179-189
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    • 2021
  • As the school was in crisis due to the COVID-19, e-Learning was extended. Although it was difficult for everyone, e-Learning were stabilized with the enthusiasm and efforts of school teachers. Online education in Korea, called 'K-edu' is being promoted by school teachers in COVID19, and is considered an important area of future education beyond the post corona. Therefore, analyze the meaning of K-edu experienced by school teachers, studying changes in the educational paradigm in the Post-COVID era is very important in establishing the direction and content of future education. In this study described the K-edu experienced by school teachers in response to Corona 19 as 'changed daily life of school teachers', 'changes in schools', 'difficulties felt by teachers' and 'proposals for K-edu' through the qualitative research method FGI. Based on this, the characteristics of K-edu that changed through COVID-19 were analyzed as 'expansion of educational space', 'expansion of educational form' and 'highlighting the importance of face-to-face education'. Through this study, we hope that K-Edu led by school teachers will serve as a cornerstone for leading the world beyond Korea.

Automatic detection and severity prediction of chronic kidney disease using machine learning classifiers (머신러닝 분류기를 사용한 만성콩팥병 자동 진단 및 중증도 예측 연구)

  • Jihyun Mun;Sunhee Kim;Myeong Ju Kim;Jiwon Ryu;Sejoong Kim;Minhwa Chung
    • Phonetics and Speech Sciences
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    • v.14 no.4
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    • pp.45-56
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    • 2022
  • This paper proposes an optimal methodology for automatically diagnosing and predicting the severity of the chronic kidney disease (CKD) using patients' utterances. In patients with CKD, the voice changes due to the weakening of respiratory and laryngeal muscles and vocal fold edema. Previous studies have phonetically analyzed the voices of patients with CKD, but no studies have been conducted to classify the voices of patients. In this paper, the utterances of patients with CKD were classified using the variety of utterance types (sustained vowel, sentence, general sentence), the feature sets [handcrafted features, extended Geneva Minimalistic Acoustic Parameter Set (eGeMAPS), CNN extracted features], and the classifiers (SVM, XGBoost). Total of 1,523 utterances which are 3 hours, 26 minutes, and 25 seconds long, are used. F1-score of 0.93 for automatically diagnosing a disease, 0.89 for a 3-classes problem, and 0.84 for a 5-classes problem were achieved. The highest performance was obtained when the combination of general sentence utterances, handcrafted feature set, and XGBoost was used. The result suggests that a general sentence utterance that can reflect all speakers' speech characteristics and an appropriate feature set extracted from there are adequate for the automatic classification of CKD patients' utterances.

Assessment Study on Educational Programs for the Gifted Students in Mathematics (영재학급에서의 수학영재프로그램 평가에 관한 연구)

  • Kim, Jung-Hyun;Whang, Woo-Hyung
    • Communications of Mathematical Education
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    • v.24 no.1
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    • pp.235-257
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    • 2010
  • Contemporary belief is that the creative talented can create new knowledge and lead national development, so lots of countries in the world have interest in Gifted Education. As we well know, U.S.A., England, Russia, Germany, Australia, Israel, and Singapore enforce related laws in Gifted Education to offer Gifted Classes, and our government has also created an Improvement Act in January, 2000 and Enforcement Ordinance for Gifted Improvement Act was also announced in April, 2002. Through this initiation Gifted Education can be possible. Enforcement Ordinance was revised in October, 2008. The main purpose of this revision was to expand the opportunity of Gifted Education to students with special education needs. One of these programs is, the opportunity of Gifted Education to be offered to lots of the Gifted by establishing Special Classes at each school. Also, it is important that the quality of Gifted Education should be combined with the expansion of opportunity for the Gifted. Social opinion is that it will be reckless only to expand the opportunity for the Gifted Education, therefore, assessment on the Teaching and Learning Program for the Gifted is indispensible. In this study, 3 middle schools were selected for the Teaching and Learning Programs in mathematics. Each 1st Grade was reviewed and analyzed through comparative tables between Regular and Gifted Education Programs. Also reviewed was the content of what should be taught, and programs were evaluated on assessment standards which were revised and modified from the present teaching and learning programs in mathematics. Below, research issues were set up to assess the formation of content areas and appropriateness for Teaching and Learning Programs for the Gifted in mathematics. A. Is the formation of special class content areas complying with the 7th national curriculum? 1. Which content areas of regular curriculum is applied in this program? 2. Among Enrichment and Selection in Curriculum for the Gifted, which one is applied in this programs? 3. Are the content areas organized and performed properly? B. Are the Programs for the Gifted appropriate? 1. Are the Educational goals of the Programs aligned with that of Gifted Education in mathematics? 2. Does the content of each program reflect characteristics of mathematical Gifted students and express their mathematical talents? 3. Are Teaching and Learning models and methods diverse enough to express their talents? 4. Can the assessment on each program reflect the Learning goals and content, and enhance Gifted students' thinking ability? The conclusions are as follows: First, the best contents to be taught to the mathematical Gifted were found to be the Numeration, Arithmetic, Geometry, Measurement, Probability, Statistics, Letter and Expression. Also, Enrichment area and Selection area within the curriculum for the Gifted were offered in many ways so that their Giftedness could be fully enhanced. Second, the educational goals of Teaching and Learning Programs for the mathematical Gifted students were in accordance with the directions of mathematical education and philosophy. Also, it reflected that their research ability was successful in reaching the educational goals of improving creativity, thinking ability, problem-solving ability, all of which are required in the set curriculum. In order to accomplish the goals, visualization, symbolization, phasing and exploring strategies were used effectively. Many different of lecturing types, cooperative learning, discovery learning were applied to accomplish the Teaching and Learning model goals. For Teaching and Learning activities, various strategies and models were used to express the students' talents. These activities included experiments, exploration, application, estimation, guess, discussion (conjecture and refutation) reconsideration and so on. There were no mention to the students about evaluation and paper exams. While the program activities were being performed, educational goals and assessment methods were reflected, that is, products, performance assessment, and portfolio were mainly used rather than just paper assessment.

Effects of Out-of-school STEAM Programs Based on Social-Emotional Learning (사회정서학습 기반의 학교 밖 STEAM 프로그램의 효과)

  • Lee, Hyunjoo;Lee, Soo-Yong;Jung, Jaeeun;Lee, Saebyoul;Choi, Eunhye;Kwak, E-Rang;Kim, Younghwa;Chang, Hyewon
    • Journal of Korean Elementary Science Education
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    • v.41 no.4
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    • pp.740-753
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    • 2022
  • This study was conducted to develop and apply an out-of-school STEAM program model based on Social-Emotional Learning (SEL) for underprivileged students in the lower grades. To this end, a STEAM program based on SEL was developed, with the following characteristics. First, by integrating traditional STEAM learning elements and SEL elements, a structured program was designed with consistent stages, including mindfulness meditation→present an authentic situation→creative design→emotional experiences→reflection. Second, the program was structured so that elementary school students could develop mathematical thinking and scientific inquiry skills in problem-solving situations in daily life. Third, the detailed themes for each STEAM program involved storytelling-based problem situations, as well as activities centered on play and sympathy to reflect the educational needs of underprivileged students. From these characteristics, a total of five programs were developed and applied to 16 teachers and 354 lower-grade elementary school students in 16 community children centers nationwide. The results were as follows. First, while students' satisfaction with the STEAM program was 4.16, there were no significant differences in STEAM satisfaction according to gender. Second, while all students' interest and self-efficacy, which was one of sub factors of STEAM attitude, were significantly improved, no significant difference was seen in STEAM attitudes according to gender. Third, although students' SEL competencies were not significantly improved, relationship skills, which were among the sub factors of SEL competencies, were significantly improved, and there were no significant differences in SEL competencies according to gender. From these results, a discussion on the effect of the out-of-school STEAM program for underprivileged students and directions for follow-up studies was suggested.

An Analysis Study on Mathematics Learning Characteristics of Out-of-School Youth through STEAM Education with Mathematics and Music (수학과 음악의 융합인재교육으로 변화된 학교 밖 청소년의 수학학습 특성 분석)

  • Kim, Youngin;Suh, Boeuk
    • Communications of Mathematical Education
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    • v.36 no.3
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    • pp.313-334
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    • 2022
  • The purpose of this study is to analyze the changes in mathematical learning through applying STEAM education according to social needs for out-of-school youth. For this purpose, we developed a teaching and learning model and program for mathematics and music STEAM education, and we implemented and analyzed the changes of affective area and problem-solving strategies. The analysis results of characteristic in affective area are as follows: first, the activity-oriented class of mathematics and music STEAM education aroused interest in mathematics. Second, providing opportunities for mathematics and music STEAM education instilled a positive perception of the value of mathematics and STEAM education. Third, the autonomous communication-oriented learning environment of mathematics and music STEAM education improved confidence and motivation to learn in mathematics. The analysis results of the characteristic in problem-solving strategy are as follows: first, through the STEAM education with mathematics and music, a conceptual understanding of internally and externally dividing points was formed, and a given problem was expressed and solved in a formula. Second, the functional correspondence relationship was understood, and the given problem was described and solved with symbols associated with the function. The suggestions of the study are as follows: first, based on the teaching and learning model and results of this study, various STEAM education programs for out-of-school youth should be developed and expanded to foster future competencies and provide new changes for out-of-school youth. Second, it can be used for research on the development of teaching and learning materials for convergence elective subjects in the high school credit system by referring to the mathematics and music convergence STEAM program of this study. As the subjects and fields of STEAM education are diversified and organized, students in need of receiving educational opportunities will be reduced, and there will be a world where the name of out-of-school youth and alternative education will not be necessary. Therefore, it is expected that development of teaching and learning programs created by interest in education of out-of-school youth will be used as an innovative idea in school education to achieve a virtuous cycle.