• Title/Summary/Keyword: direct learning

Search Result 621, Processing Time 0.027 seconds

User-oriented Adaptive English Typing Program Implementation using Python (파이썬을 이용한 사용자 중심의 적응적 영문 타이핑 프로그램 구현)

  • Kim, Hye-Suk;Lee, Ho-Jun;Tak, Dong-Kil
    • Journal of Digital Contents Society
    • /
    • v.19 no.8
    • /
    • pp.1575-1584
    • /
    • 2018
  • In this paper, we implemented a user - oriented adaptive English typing program using class and function structure provided by Python to get English learning effect while effectively typing English on PC. The user of the implemented English typing program creates a text file of required English example sentences and links them to use it for direct English typing exercise. In addition, based on the English sentence used in the English typing exercise, it is possible to obtain the English learning effect by providing the ability to perform the memorization test. The interface of the program is structured in the form of a game so that it can be accessed interestingly, and the ranking among the users is disclosed to provide a positive function. We expect that the implemented program will improve the user's English typing speed and improve the English learning effect.

The Impact of Tutors' Domain and Teaching Expertise on Medical Students' Learning Outcomes in a PBL Environment (의과대학 문제중심학습에서 튜터의 전문분야와 교수경험이 학습결과에 미치는 영향)

  • Kang, MyungHee;Lee, SuJie;Kim, MinJeong;Kim, MinJi
    • Korean Medical Education Review
    • /
    • v.13 no.2
    • /
    • pp.9-23
    • /
    • 2011
  • This study aimed to investigate the effects of tutors' domain and teaching expertise on learning outcomes in a problem based learning (PBL) environment. Four tutors and 25 first-year medical students participated in this study. Tutors' domain expertise was classified by clinical or non-clinical which is basic medicine and teaching expertise by previous tutoring experiences or not. The results showed a statistically significant difference in achievement depending on the tutors' domain expertise. Students grouped with an experienced clinical tutor attained higher achievement scores than those with an experienced non-clinical tutor, while those with an inexperienced non-clinical tutor attained higher scores than those with both inexperienced clinical tutors and experienced non-clinical tutors. Students with clinical medicine tutors also showed higher satisfaction scores than those with non-clinical medicine tutors. In particular, students grouped with an experienced clinical tutor gained higher satisfaction scores than those with inexperienced non-clinical tutors, and among the inexperienced tutors, students tutored by a clinical tutor showed higher scores than those with a non-clinical tutor. Different intervention styles were also found depending on tutors' domain and teaching expertise. Experienced tutors gradually reduced the tutoring intervention, whereas the novice provided more as the semester proceeded. Moreover, experts with a clinical medicine degree preferred direct teaching, whereas, non-clinical tutors preferred facilitating. Also, experienced tutors in the clinical medicine facilitated critical awareness than the other tutors. These results show the importance of developing a program for novice tutors to improve PBL in medical education.

Secret Key-Dimensional Distribution Mechanism Using Deep Learning to Minimize IoT Communication Noise Based on MIMO (MIMO 기반의 IoT 통신 잡음을 최소화하기 위해서 딥러닝을 활용한 비밀키 차원 분배 메커니즘)

  • Cho, Sung-Nam;Jeong, Yoon-Su
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.11
    • /
    • pp.23-29
    • /
    • 2020
  • As IoT devices increase exponentially, minimizing MIMO interference and increasing transmission capacity for sending and receiving IoT information through multiple antennas remain the biggest issues. In this paper, secret key-level distribution mechanism using deep learning is proposed to minimize MIMO-based IoT communication noise. The proposed mechanism minimizes resource loss during transmission and reception process by dispersing IoT information sent and received through multiple antennas in batches using deep learning. In addition, the proposed mechanism applied a multidimensional key distribution processing process to maximize capacity through multiple antenna multiple stream transmission at base stations without direct interference between the APs. In addition, the proposed mechanism synchronizes IoT information by deep learning the frequency of use of secret keys according to the number of IoT information by applying the method of distributing secret keys in dimension according to the number of frequency channels of IoT information in order to make the most of the multiple antenna technology.

The Effects of Simulation-based Education on Nursing Students' Presence in Education, Systems Thinking and Proactivity in Problem Solving (시뮬레이션 교육이 간호대학생의 교육실재감, 시스템사고능력 및 문제해결 적극성에 미치는 효과)

  • Cho, Ok-Hee;Hwang, Kyung-Hye
    • Journal of Home Health Care Nursing
    • /
    • v.23 no.2
    • /
    • pp.147-154
    • /
    • 2016
  • Purpose: This study aimed to develop and apply simulation-based education, and to verify the effects of this type of education on nursing students' presence in education, systems thinking, and proactivity in problem solving. Method: Subjects were 69 senior college students recruited through convenient sampling. This study used a one-group pre-posttest quasi-experimental design. A structured survey was administered a week before and after provision of the simulation-based education once a week for 4 weeks. Data were analyzed using descriptive statistics and t-tests. Results: Teaching presence increased after the educational intervention; instructional design and organization, and aspect of direct facilitation subscales improved. Learning presence increased after the educational intervention; although cognitive presence did not change, emotional presence increased. With regard to emotional presence, perception and expression of one's emotional status increased, although emotional management did not change. Moreover, systems thinking increased. Among the subscales, team learning showed an increase after the educational intervention. However, there was no significant difference in proactivity in problem solving, although it showed an increase after the educational intervention. Conclusion: Based on the aforementioned study results, there is need to establish educational environments for qualitative teaching and learning presence, and devise strategies to increase learning effects with various teaching methods and type of content.

Relationships among Learner's Satisfaction, Self-Directedness and Flow Experience in Computer e-Learning (컴퓨터 이러닝에서 학습만족도와 자기주도성, 플로우(Flow)경험 간의 관계)

  • Jang, Phil-Sik
    • Journal of the Korea Society of Computer and Information
    • /
    • v.17 no.2
    • /
    • pp.69-76
    • /
    • 2012
  • The purpose of the study is to identify the relationship among the variables related learner's satisfaction, flow experience and self-directedness and verify the path model of causal relationship among those variables in web based computer e-learning. Based on the theoretical rationale, we hypothesized the path model including learner's satisfaction as outcome variable, flow experience and self-directedness as causal and mediating variables. A total of 193 students were participated in this study and the main results showed as follows: 1. Learner's self-directedness showed significant (p<.01), indirect effect on learner's satisfaction mediated by flow experience and the flow experience showed significant (p<.01), direct effect on learner's satisfaction; 2. Among 7 constructs of self-directedness, 'creative approach', 'love of learning', 'self-confidence as a learner' showed significant (p<.01), indirect effects on learner's satisfaction mediated by 'clear goals' construct among flow experience.

A Design of AI Cloud Platform for Safety Management on High-risk Environment (고위험 현장의 안전관리를 위한 AI 클라우드 플랫폼 설계)

  • Ki-Bong, Kim
    • Journal of Advanced Technology Convergence
    • /
    • v.1 no.2
    • /
    • pp.01-09
    • /
    • 2022
  • Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.

Influence of Organizational Factors on Business Performance in INNOBIZ SMEs: Focusing on the Mediating Effects of Absorption Capacity (기술혁신형 중소기업의 조직요인이 경영성과에 미치는 영향: 흡수역량의 매개효과를 중심으로)

  • Sung, KiWook;Om, KiYong
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.27 no.3
    • /
    • pp.59-88
    • /
    • 2022
  • As the open innovation paradigm spreads, the ability to search for new external knowledge and combine it with the organization's existing knowledge has been cosidered to play an important role in improving business performance of a company. This study empirically analyzed the influence of such organizational variables as empowering leadership, organizational learning culture, and interdepartmental cooperation on business performance of innovative technology SMEs focusing on the mediating effects of absorption capacity. For this purpose, a survey was conducted on 15,227 INNOBIZ SMEs, and 326 usable questionnaires were collected and analyzed using the structural equation model. Statistical analyses showed that the direct influence of empowering leadership, organizational learning culture, and interdepartmental cooperation on business performance was not found, but indirect effects of three organizational variables on business performance proved significant using absorption capacity as a mediating variable. This result also indicates that empowering leadership, organizational learning culture, and interdepartmental cooperation are important antecedent variables of absorption capacity.

Effect of Smart Work Job Characteristics on Job Satisfaction : Mediating Effect of Learning Agility (Smart Work의 직무특성이 직무만족에 미치는 영향에 관한 연구 : 학습민첩성의 매개효과를 중심으로 )

  • Kim, Il-young;Dong, Hak-lim
    • Journal of Venture Innovation
    • /
    • v.5 no.4
    • /
    • pp.41-56
    • /
    • 2022
  • This study was conducted to empirically analyze the effect of various job characteristics on job satisfaction under the smart work environment, which has become a hot topic recently. To this end, job characteristics under the smart work environment were subdivided into job autonomy, job flexibility, and job efficiency. In addition, although these job characteristics had a direct effect on job satisfaction, the learning agility of employees was also considered to be important factors. Job autonomy, job flexibility, and job efficiency all had a significant positive (+) effect on job satisfaction. In the case of learning agility, it was found that there was a mediating effect in all paths. The results of this study had academic significance in that they empirically tested the relationship between job characteristics of smart work and job satisfaction according to the progress to contact free society..

The Effects of Learning Transfer on Perceived Usefulness and Perceived Ease of Use in Enterprise e-Learning - Focused on Mediating Effects of Self-Efficacy and Work Environment - (지각된 유용성과 사용용이성이 기업 이러닝 교육의 학습전이에 미치는 영향에 관한 연구 -자기효능감과 업무환경의 매개효과를 중심으로-)

  • Park, Dae-Bum;Gu, Ja-Won
    • Management & Information Systems Review
    • /
    • v.37 no.3
    • /
    • pp.1-25
    • /
    • 2018
  • This research performed the empirical test for the effects of learning transfer on perceived usefulness, perceived ease of use, self-efficacy and work environment using 390 employees who have experienced e-learning in domestic and foreign companies. Analyzed the mediating effects of self-efficacy and work environment in addition to direct effect of each factor on learning transfer. The results showed that perceived usefulness and perceived ease-of-use of e-learning learner had a positive(+) effect on self-efficacy and a positive influence on supervisor and peer support and organizational climate. Self-efficacy showed a positive effect on learning transfer, and supervisor support, peer support and organizational climate had a positive influence on learning transfer as well. Perceived usefulness also had a positive effect on learning transfer. However, perceived ease-of-use had no significant effect on learning transfer. As a result of the mediating effect analysis, self-efficacy and work environment were analyzed to have mediating effects between perceived usefulness, perceived ease of use, and learning transfer. The implications of this study are as follows. First, this study designed a new research model that reflects factors influencing the effect of learning transfer on acceptance of e-learning that is common in corporate education. It has derived a research model of perceived usefulness and perceived ease-of-use, which were used as mediating variables for external characteristics factors, as independent variables, using self-efficacy and work environment as mediating variables, which were studied as external factors. Second, most of the studies on technology acceptance model and learning transfer are conducted in a single country. The reliability was enhanced by testing the study models using different samples from 26 countries. Third, perceived usefulness and ease-of-use in existing studies have been considered as key determinants of acceptance intention and learning transfer. This study explored the mediating effects of learner and environmental factors on the accepted information technology and strengthened and supplemented the path of learning transfer of perceived usefulness and ease-of-use. In addition, based on the sample analysis of various countries used in this study, it is expected that future international comparative studies will be possible.

A Study on the Clothing Appropriateness for the Role Behavior af Achieving a Successful Learning and Teaching Efficiency (성공적인 학습의 역할수행을 위한 의복의 적합성에 관한 연구 -교사/교수의 의복행동을 중심으로-)

  • 한명숙
    • Journal of the Korean Home Economics Association
    • /
    • v.25 no.2
    • /
    • pp.39-54
    • /
    • 1987
  • One's Clothing Satisfaction, has a great influence on his role behavior in a society. Especially, as for the teacher's and the professors whose role is teaching, it can not be too emphaszed. Above all, high school girls and college women are the most likely to be influenced by their teachers' clothing behavior, to whom they pay their respect in every way. From this point of view, this study was aimed at explaining, the correlation between the teachers/professors' clothing behaviors and the learning efficiency. On clothing behaviors assessed 30 items related with the learning efficiency, selected from the instruments of preceding studies, and modified by the factors dealing with modesty, color, and design. The questionnaires were composed of two major categories: those for students and for teachers/progessors. The subjects of this study were included students and teachers/professors of high school and universities in Seoul. The data were analyzed statically by mean, standard Deviation, and F-test. The results of this study were summerized as follows; 1. The clothing behaviors of the teachers/professors influenced on the learning efficiency. Namely teachers' clothing satisfaction is in direct proportion to them teaching efficiency and students' learning efficiency. 2. Among the clothing behavior variables, modesty had a great influence on the learning efficiency, especially as for that of teachers more than professors. 3. The influence of the teachers'/professors' clothing behaviors on the learning efficiency showed no significance between high school girls and college women, but some significance between the grades of collegians. 4. As for the teachers'/professors' clothing behavior, male teachers/professors gave priority to design and female teachers/professors to modesty, color showed no significance between them irrespective of age. 5. As for the clothing behavior variabels, both the teachers/professors and the students showed some significance. In class the teachers/professors highly responded to their own clothing behaviors than the students. 6. According to priority the most favorable clothing colors for male teachers/professors are navy blue, gray, indigo blue, and black, and the most disgusting ones red, mud yellow, violet, pink, and green. The most favorable clothing colors for female teachers/professors are beign, white, pale yellow, and black, and the most disgusting ones red, mud yellow, and yellow and yellow according to priority. It is that teachers/professors should wear modestly and in color harmony to invite the desirable students' will to study. Teachers'/professors' colorful appearance and heavy toilet bring about a drop in the students' will to study.

  • PDF