• Title/Summary/Keyword: Non Face To Face Education

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Study on the Factors Affecting the Intention to Use Real-time Video Conferencing Using Extended Technology Acceptance Model (확장된 기술수용모델을 적용한 실시간 화상강의 이용의도에 영향을 미치는 요인 연구)

  • Lee, Jang-Suk;Yang, Seoung-Hyun;Song, Byoung-Weon
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.292-310
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    • 2021
  • The influence of COVID 19 has a direct impact on the education field. In the situation where non-face-to-face classes are inevitably required, interest in the learning satisfaction and intention to use real-time video conferencing is increasing. This study analyzed the effects of learner-teacher interaction, social presence, availability, self-efficacy and academic engagement as video conferencing characteristics and learner's characteristics on perceived usefulness, perceived ease of use, learning satisfaction and intention to use video conferencing. The results of this study showed that learner-teacher interaction, availability, and self-efficacy had a positive effect on perceived ease of use, and all variables except availability had a positive effect on perceived usefulness. Also, perceived usefulness and ease of use were factors that increased learning satisfaction and video conferencing use intention, and learning satisfaction was identified as variables that increased video conferencing use intention. This study has significance in that it provided various theoretical and practical implications for real-time video conferencing which will be used in many educational fields in the future through empirical analysis.

Seasonal Variations of Sedimentary Processes on Mesotidal Beach in Imjado, Southwestern Coast of Korea (한반도 서해남부 임자도 해빈 퇴적작용의 계절적 변화)

  • 류상옥;장진호;조주환;문병찬
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.9 no.3
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    • pp.83-92
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    • 2004
  • A continuous monitoring of textural characteristics of surface sediments, sedimentation rates and beach profile was carried out to investigate the seasonal variations of sedimentary processes in the Imjado beach, southwestern coast of Korea for two years. The beach profiles consist of steep beach face and relatively flat middle and low tide beaches. The slope of the beach face increases in summer and decreases in winter, in good accordance with the standard beach cycle. Ridge and runnel systems are well developed in the middle and low tide beaches during the summer, but these structures are replaced by mega-ripples during the winter. The sediments are fining southward as well as landward. The mean grain-size tends to be increasingly coarser during seasons of autumn and winter on the north beach and during seasons of winter and spring on the south one. In addition, the sediments are eroded on the north beach and accumulated on the south one as a whole. These are probably due to southward transportation of the sediments as long-shore current (NE-SW) runs around the coastal line of the beach. However, the seasonal variations in accumulation rates are very complex and irregular. It is considered that the Imjado beach represents in non-equilibrium state, as a result of coastal and submarine topographic changes by artificial agents and sea-level uprising associated with global warming.

Study on Fatality Risk of Older Driver and Traffic Accident Cost (고령운전자 연령구간별 사망사고 발생위험도와 사고비용 분석 연구)

  • Choi, Jaesung
    • Journal of the Korean Society of Safety
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    • v.33 no.4
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    • pp.111-118
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    • 2018
  • Korea is facing a surge in the aging population, showing that population aged 65 and above will be accounted for 42.5% of the total population in 2065 with the emphasis on the over-80 population consisting of 19.2%. In response to this abrupt change in population structure, the number of traffic fatality accident referring to older driver as aged 65+ years had been increasing from 605 fatalities in 2011 to 815 fatalities in 2015 resulting in increases in 34.7% in oppose to happening to decreases in 17.2% about non-older driver. With Logit analysis based on Newton-Raphson algorithm utilizing older driver's traffic fatality data for the 2011-2015 years, it was found that the likelihood of an accident resulting in a fatality for super older driver aged 80 years and above considerably increased compared to other older driver with aging classification: 2.24 times for violation of traffic lane, 2.04 times for violation of U-turn, 1.48 times for violation of safety distance, 1.35 times for violation of obstacle of passing; also average annual increase of traffic accident cost related to super older driver was fairly increased rather than other older driver groups. Hence, this study proposes that improving and amending transport safety system and Road Traffic Act for super older driver needs to be urgently in action about license management, safe driving education, etc. when considering the increase of over-80 population in the near future. Also, implementing a social agreement with all ages and social groups to apply with advanced driver assistance system for older driver groups will be able to become a critical factor to enhance safe driving over the face of the country.

Smoking Rate and Its Related Factors in Collegians after Their Admission to the College (대학진학 이후 흡연율과 관련요인)

  • Seo, Dong-Bae;Kam, Sin;Han, Chang-Hyun;Park, Ki-Soo
    • Korean Journal of Health Education and Promotion
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    • v.25 no.3
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    • pp.111-124
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    • 2008
  • Objectives: The purpose of this study was to suggest effective methods for not only preventing college students from being exposed to smoking but also helping them stop smoking, by examining and analysing a variety of factors related to their smoking behavior. Methods: To accomplish the purpose, this study was carried out using 1,553 valid questionnaires selected from 1,584 questionnaires completed and returned by 1,800 randomly chosen students of 2 colleges and 3 universities in Gyeongsangbuk-do Province and Daegu City during the period of April 3 through April 21, 2006. Results: It was turned out that while the total smoking rate of whole students was 52.4% in male students and 9.1% in female students, the smoking rate after their admission to the college was 27.1% in males and 1.5% in females. It was also shown that both the perceived susceptibility and barrier factors of Health Belief Model were statistically significant, and that the perceived seriousness factors were entirely significant in all other variables except the body seriousness. The perceived benefit factors were significant in only the variable that there would not be any improvement in academic performance even after stopping smoking. A relation between smoking and stop smoking program or smoking prevention program showed that the non-smoking rate was significantly high among the college students who participated in such programs while in middle school. When variables having a significant effect on smoking students after their admission were analysed, it was shown that the smoking rate was higher among males than females students, and that the more the number of smoking friends is and the more the number of students thinking that stop smoking would make it difficult to release stress and make friends is, the higher the smoking rate is among students. It is required, therefore, to encourage students to continuously participate in more smoking prevention programs from middle school, and to put an emphasis on a variety of smoking-related illnesses and advantages from non-smoking. Conclusions: Since the current smoking rate among college students is relatively high but most of the smoking students surveyed are ready to actually try to stop smoking, it will be possible to significantly reduce the smoking rate among college students if proper methods are suggested to eliminate barrier factors they face while participating in the stop smoking programs.

A Study on Intake of Adult Men and Women according to Intake of Improving Agents (성인 남녀의 건강 증진제 섭취에 따른 영양 섭취 상태)

  • Choi, Mi-Kyeong;Lee, Yoon-Shin
    • Journal of the East Asian Society of Dietary Life
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    • v.18 no.5
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    • pp.732-738
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    • 2008
  • This study was carried out to examine information regarding nutritional intake according to intake of health improving agents. For this study, 593 adults were interviewed face-to-face. The average ages of the participants were 58.8 years old in males and 56.1 years old in females. The percentage of individuals taking agents was significantly higher (p<0.05) among the females (22.1%) than the males (14.1%). Men showed a preference for taking animal protein bases restorative food and health supplements, while women preferred health supplements and nutritional supplements as improving agents. However, there were no significant differences between the two groups. The total daily food intake was also not significantly different according to intake of improving agents in the male and female groups. The male subjects who took improving agents showed significantly lower intake of potato and starches, pulses, fungi and mushrooms, seaweeds, oils and fat, as well as seasoning than those of non-users. Female subjects who took these agents also had a significantly lower intake of pulses, nuts and seeds than nonusers. No difference in the daily energy intake was reported in male and female groups whether the individuals were taking improving agents in male and female groups or not. However, in male subjects who took improving agents, there was a significantly lower intake of protein, dietary fiber, carotene, vitamin $B_1$, folate, vitamin C, vitamin E, plant calcium, potassium and plant iron than the male non-users. This study suggests that practical education be emphasized for proper nutrition intake thorough nutritional management according to improving agents.

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A Case Study on the Development of Real-Time Interactive Class Data among Non-face-to-Face Remote Class Types (비대면 원격수업 형태 중 실시간 쌍방향 수업 자료 개발 사례 연구: 고등학교 기하 과목 공간도형 단원의 평면의 결정 요건을 중심으로)

  • Lee, Dong Gun;Ahn, Sang Jin
    • Communications of Mathematical Education
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    • v.35 no.2
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    • pp.173-191
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    • 2021
  • This study noted that a survey of teachers in a leading study conducted in Korea during the Pandemics period pointed out that the "real-time interactive" classes account for a significantly small portion of the remote class format. Contentually, the study reported cases of developing and applying "real-time interactive" class materials based on "planar decision requirements" of high school mathematics subject geometry. The teacher who participated in the development was a math teacher who worked at a Seoul-based high school with 28 years of high school teaching experience, and a teacher who was in charge of geometry in the math department in 2020. The development teacher decided to develop real-time interactive classes. In particular, the materials were developed by organizing the class guidance plan in four stages: 'Meeting and Class Guidance', 'Giving motivation', 'Suggesting tasks', 'Individual Investigative Activities and Teacher Feedback' and 'Reflection and Evaluation' which were selected through the process of selecting the class contents and selecting online class tools. At this time, the development teacher produced and presented about five minutes of video material using the videooscribe, a whiteboard animation program. And in case of task number 8, it consisted of recording the students' free thoughts after class, which served as a role of assessment by students themselves and providing feedback to their teachers. This study is a case study that introduces a series of courses in which field teachers develop class materials, and in addition to presenting class materials that can be applied directly to classes, is a result of a study that focuses on the role of presenting samples for future class data development. The materials developed were verified as class materials based on the opinions of the students who participated in the class and the results of the evaluation commissioned by the three math teachers.

Major Class Recommendation System based on Deep learning using Network Analysis (네트워크 분석을 활용한 딥러닝 기반 전공과목 추천 시스템)

  • Lee, Jae Kyu;Park, Heesung;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.95-112
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    • 2021
  • In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.

Evaluation of Using Pattern of the Topical Agents in Korean Community (한국 외래형 국소용 피부 외용제의 사용 현황에 대한 기초 평가)

  • Cheon, Young Ju;Kim, Sug Hyun;Kim, Ok Ju;Hong, Se Hwa;Yang, Jin Wook;Kim, Jung Tae;Lim, Sung Cil
    • YAKHAK HOEJI
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    • v.58 no.6
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    • pp.378-386
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    • 2014
  • Topical agents including of steroids are easily exposed to Korean patients in community setting. Those topical agents must be use cautiously because can cause adverse drug reaction unlike other oral medication. We evaluate the using pattern topical agents of Korean in community setting. We performed a questionnaire survey in three different pharmacies (general community pharmacy, dermatology clinic oriented pharmacy, general hospital oriented pharmacy) and in three university town. The survey asked necessity of topical agents, the number of applications per day, application period, site, and exist of steroids ingredient, etc. Total 330 people was participated in the survey from May 1st to July 31st, 2014. We analysed the survey by the frequency of each question and cross-analysis of the compliance between general public and pharmacy groups. In results, Korean people used topical agents for sudden skin diseases (66.9%), was gotten by dermatologist's prescription (89.1%), and did not know their diagnosis (39.2%). The people applied topical agents on face (22.3%), less one half FTU (finger tip unit) per application (61.9%), less than one week (62.9%). Though they was received drug education from pharmacist (52.2%), did not heard about adverse effects (78.4%). And compliance of applied times in pharmacy group was higher than in-non-pharmacy group (56% vs 38%, p=0.002). The highest compliance between 3 pharmacy subgroup was general community pharmacy (76.3% vs 61.6%, 61.2%, p=0.039). Compliance of applied duration was no difference between groups. Majority of respondents did not know diversity of ingredients, potency, application area of topical steroids, and replied to feel some vague reluctance and to think so dangerous about topical steroids. In conclusion, Korean people in community use topical agents well but still some exposed to risk from topical agents.

Impact of Youth Entrepreneurial Competency on the Success and Satisfaction of Start-ups through Entrepreneurial Self-Efficiency (청년창업가역량이 창업자기효능감을 매개로 창업성공과 창업만족에 미치는 영향)

  • Choi, Su Heyong;Kang, Hee kyung;Lee, Dae Shik
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.5
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    • pp.245-259
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    • 2020
  • The development of technology and the advent of a non-face-to-face society are expected to have a direct impact on job problems. In line with this phenomenon, the government and education and training institutions are coping with job problems through the start-up support policy while at the same time inducing the creation of innovative companies. In particular, youth start-up support can be expected not only to compensate for market failures, but also to promote high-growth start-ups. Based on this background of research, this study examined the competency of young entrepreneurs to start their own businesses, their entrepreneurial self-efficacy, and their impact on success and satisfaction of start-ups. Based on the theoretical research, the research theory and research model were derived by setting entrepreneurial self-efficacy as a mediating variable after reviewing the relation between the main elements of start-up competency of young start-up entrepreneurs and start-up performance. The Youth Entrepreneurship Competency was divided into four categories: Entrepreneurial Competencies, Technical Competencies, Management Competencies, and Creative Competencies, and the hypothesis was that each had a significant impact on the start-up performance through the mediating effect of entrepreneurial self-efficacy. A survey was conducted on young entrepreneurs in their 20s and 30s in Korea for empirical research, and the analysis results were as follows. First of all, the competency of young entrepreneurs to start their own businesses affects the success of start-ups and the satisfaction of start-ups. There are differences in the competencies, and both technical and management competencies can be seen through the entrepreneurial self-efficacy to enhance the success of start-ups and the satisfaction of start-ups. Entrepreneurial competency was fully mediated to start-up success and partially mediated to start-up satisfaction. In the case of creative competency, there were only direct effects on successful start-ups, and the satisfaction of start-ups showed partial mediating effects. Thus, seven of the eight detailed hypotheses were supported and one was rejected. Based on the above findings, the implications were presented.

A Study on Productive Struggle in Mathematics Problem Solving (수학적 문제해결에서 Productive Struggle(생산적인 애씀)에 관한 연구)

  • Kim, Somin
    • Journal of the Korean School Mathematics Society
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    • v.22 no.3
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    • pp.329-350
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    • 2019
  • Productive struggle is a student's persevering effort to understand mathematical concepts and solve challenging problems that are not easily solved, but the problem can lead to curiosity. Productive struggle is a key component of students' learning mathematics with a conceptual understanding, and supporting it in learning mathematics is one of the most effective mathematics teaching practices. In comparison to research on students' productive struggles, there is little research on preservice mathematics teachers' productive struggles. Thus, this study focused on the productive struggles that preservice mathematics teachers face in solving a non-routine mathematics problem. Polya's four-step problem-solving process was used to analyze the collected data. Examples of preservice teachers' productive struggles were analyzed in terms of each stage of the problem-solving process. The analysis showed that limited prior knowledge of the preservice teachers caused productive struggle in the stages of understanding, planning, and carrying out, and it had a significant influence on the problem-solving process overall. Moreover, preservice teachers' experiences of the pleasure of learning by going through productive struggle in solving problems encouraged them to support the use of productive struggle for effective mathematics learning for students, in the future. Therefore, the study's results are expected to help preservice teachers develop their professional expertise by taking the opportunity to engage in learning mathematics through productive struggle.