• Title/Summary/Keyword: Effectiveness of online learning

검색결과 195건 처리시간 0.024초

Online Evolution for Cooperative Behavior in Group Robot Systems

  • Lee, Dong-Wook;Seo, Sang-Wook;Sim, Kwee-Bo
    • International Journal of Control, Automation, and Systems
    • /
    • 제6권2호
    • /
    • pp.282-287
    • /
    • 2008
  • In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.

TOEIC의 디지털 융복합 블렌디드 학습과 면대면 학습의 비교 연구 (A Comparison of Learning Effectiveness in Face-to-face versus Blended Learning of TOEIC)

  • 최미양;한태인
    • 디지털융복합연구
    • /
    • 제13권10호
    • /
    • pp.517-525
    • /
    • 2015
  • 본 연구자는 TOEIC 블렌디드 학습을 운영하면서 면대면 학습과 학습효과를 비교할 필요성을 느꼈다. 학습효과가 떨어질 경우에는 블렌디드 학습을 중단하기 위해서였다. 따라서 본 연구자는 학습자들의 한 학기 동안의 성적 향상도, 학습자들의 자가진단 점수, 온라인 과제 참여도와 문제풀이 평균점수를 활용하여 두 학습을 비교하였다. 이러한 비교를 하기 위해 t-test, 피어슨 상관관계, 회귀분석을 실시하였다. 그 결과 큰 차이는 아니라 할지라도 블렌디드 학습이 면대면 학습보다 효과가 있는 것으로 나타났다. 그 이유는 블렌디드 학습의 학습자들이 오프라인 수업과 수업 게시판을 통해 교수자와 소통할 수 있는 반면, 매주 온라인 수업의 출석을 독려하는 문자를 받았으며, 학습자들의 온라인 수업의 참여가 온라인 과제 또한 적극적으로 참여할 수 있게 영향을 끼친 탓이라고 분석하였다. 이러한 연구결과는 향후 TOEIC 블렌디드 학습을 운영하고자 하는 교수자들에게 많은 참고가 될 것이다.

치기공과 학생의 대면과 비대면 수업의 인식 및 만족도 (Perception and satisfaction of in-person and online classes for dental technology students)

  • 이선경
    • 대한치과기공학회지
    • /
    • 제43권3호
    • /
    • pp.132-137
    • /
    • 2021
  • Purpose: To study the perception and satisfaction of in-person and online classes for dental technology students. Methods: A total of 420 questionnaires were distributed to dental technology students between June 1 and June 30, 2021. Of these, 225 questionnaires were assessed using frequency analysis, one-way analysis of variance, Pearson's Chi-squared test, and independent t-tests via IBM SPSS Statistics ver. 22.0 (IBM). Results: For theory subjects, satisfaction was higher for online classes than in-person classes (p=0.001). For practical subjects, satisfaction was higher for in-person classes than online classes (p=0.002). Both the learning effect and motivation for learning were higher for in-person classes than online classes (p=0.001). Conclusion: When in-person and online classes become coexistent, there should be educational guidelines for improving the quality and effectiveness of learning in these different contexts.

The Effect of Perceived Risk and Technology Self-Efficacy on Online Learning Intention: An Empirical Study in Vietnam

  • DOAN, Thuy Thanh Thi
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권10호
    • /
    • pp.385-393
    • /
    • 2021
  • In an effort to find ways to increase the effectiveness of online education, literature and empirical study based on the Technology Acceptance Model (TAM) have addressed a variety of questions, including perceived ease of use (PEU) and perceived usefulness (PU). After TAM, extensive studies have focused on the impact of extrinsic factors on PEU and PU, including Self-efficacy and Perceived Risk. This study aims to analyze the direct, indirect, and moderating effects of Self-efficacy and Perceived Risk on Online Learning Intention (OLI). Data was collected through a survey method from 472 students studying at universities in Vietnam. The collected data was analyzed using the PLS-SEM technique to test the hypotheses. The findings reveal that Technology Self-Efficacy influences the intention to take online courses both directly and indirectly through Perceived Ease of Use and Perceived Usefulness. Besides, Perceived Risk COVID-19 also has a positive effect on online learning intention, and plays a role as a moderating variable on the impact of PU on OLI. These findings suggest that students will have a stronger intention to study online when they are confident in their ability to use technology. When they believe in their ability to use technology, their online learning intention will also increase.

온라인 학습판단 시스템을 활용한 e-러닝 동영상 수업의 효과연구 : 초등학교 사회과 수업을 중심으로 (A Study on the Effectiveness of e-learning video class using the online learning judgement system : Focused on the social studies classes in Elementary school)

  • 김지현;정재범;조재춘;임희석
    • 한국융합학회논문지
    • /
    • 제10권2호
    • /
    • pp.141-148
    • /
    • 2019
  • 초등 e-러닝 동영상 수업에서 교육적 효과성을 비교 분석 하고자 한다. 교육용 동영상의 활용빈도가 높은 초등학교 현장에서 동영상 자료에 대한 학습판단은 중요하지만 판단을 하기에는 어려운 실정이다. 이러한 현장의 문제점을 해결해 보고자, 초등학교 5학년 사회과 수업을 대상으로, 실험집단에는 온라인 학습판단 시스템을 이용하여 동영상 학습을 하였고 비교 집단에는 전통적인 방법으로 동영상 학습을 진행 하였다. 실험 결과, 온라인 학습판단시스템을 활용한 수업은 학습자의 학업 성취도를 신장시키는데 효과적이었다. 또한 학습자의 학습 만족도에도 긍정적 영향을 주었다. 교수자의 수업 만족도는 교수자들의 수가 적어 유의미한 통계 분석 결과가 도출되지 않았으나 평균값은 실험집단의 교수자의 수업 만족도가 높으며, 편차는 실험집단의 교수자 결과가 작은 것을 확인 할 수 있었다.

Online Selective-Sample Learning of Hidden Markov Models for Sequence Classification

  • Kim, Minyoung
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • 제15권3호
    • /
    • pp.145-152
    • /
    • 2015
  • We consider an online selective-sample learning problem for sequence classification, where the goal is to learn a predictive model using a stream of data samples whose class labels can be selectively queried by the algorithm. Given that there is a limit to the total number of queries permitted, the key issue is choosing the most informative and salient samples for their class labels to be queried. Recently, several aggressive selective-sample algorithms have been proposed under a linear model for static (non-sequential) binary classification. We extend the idea to hidden Markov models for multi-class sequence classification by introducing reasonable measures for the novelty and prediction confidence of the incoming sample with respect to the current model, on which the query decision is based. For several sequence classification datasets/tasks in online learning setups, we demonstrate the effectiveness of the proposed approach.

Impact of Online Learning in India: A Survey of University Students during the COVID-19 Crisis

  • Goswami, Manash Pratim;Thanvi, Jyoti;Padhi, Soubhagya Ranjan
    • Asian Journal for Public Opinion Research
    • /
    • 제9권4호
    • /
    • pp.331-351
    • /
    • 2021
  • The unprecedented situation of COVID-19 caused the government of India to instruct educational institutions to switch to an online mode to mitigate the losses for students due to the pandemic. The present study attempts to explore the impact of online learning introduced as a stop-gap arrangement during the pandemic in India. A survey was conducted (N=289), via Facebook and WhatsApp, June 1-15, 2020 to understand the accessibility and effectiveness of online learning and constraints that students of higher education across the country faced during the peak times of the pandemic. The analysis and interpretation of the data revealed that the students acclimatized in a short span of time to online learning, with only 33.21% saying they were not satisfied with the online learning mode. However, the sudden shift to online education has presented more challenges for the socially and economically marginalized groups, including Scheduled Caste (SC), Scheduled Tribes (ST), Other Backward Class (OBC), females, and students in rural areas, due to factors like the price of high-speed Internet (78.20% identified it as a barrier to online learning), insufficient infrastructure (23.52% needed to share their device frequently or very frequently), poor Internet connectivity, etc. According to 76.47% of respondents, the future of learning will be in "blended mode." A total of 88.92% of the respondents suggested that the government should provide high-quality video conferencing facilities free to students to mitigate the division created by online education in an already divided society.

IT 기업의 구성주의 교수학습환경 기반 실시간 온라인 실습 교육 효과 분석 (The Effects of Online Real-time Constuctivist Practical Trainings in an IT Company)

  • 안슬기;이명근
    • 공학교육연구
    • /
    • 제27권2호
    • /
    • pp.25-34
    • /
    • 2024
  • Due to the Covid-19 pandemic, it seems to have been impossible to run offline training courses. To overcome this situation, online training courses has been emerged. Just moving the educational environment from offline to online instead of re-designing the curriculum, however, is not effective for trainees. To maximize educational effectiveness, it is necessary to re-design the curriculum based on constructivist appoach which gives trainees experience on skills and knowledge about their job. As for re-designing the curriculum into real-time online practical learning based on constructivism, learning satisfaction and work efficacy of trainees may have been increased. From these results, HRD professionals in an IT company should need to consider how to structure the curriculum when they design the real-time online practical learnings.

Acceptance and Effectiveness of Distance Learning in Public Education in Saudi Arabia During Covid19 Pandemic: Perspectives from Students, Teachers and Parents

  • Alkinani, Edrees A.
    • International Journal of Computer Science & Network Security
    • /
    • 제21권2호
    • /
    • pp.54-65
    • /
    • 2021
  • The movement control order and shutting down educational institution in Saudi Arabia has jeopardized the teaching and learning process. Education was shifted to distance learning in order to avoid any academic loss. In the middle of the Covid-19 crisis, there is a need to assess the full image of e-learning in Saudi Arabia. To investigate student and teachers' perception and acceptance, parents' attitudes and believes about distance education are the main goals of the study. The mix-method research design was employed to collect data. Three surveys were distributed to 100 students and 50 teachers and 50 parents from different educational institutions in Saudi Arabia, while semi-structured interviews were conducted with 10 parents. Random stratified and convenient sampling methods were adopted. Both descriptive and content analysis was conducted using SPSS25.0 and NVIVO software for quantitative and qualitative data accordingly. The findings showed that students are comfortable with remote education and are receiving enough support from schools and instructors but they think online education can't replace conventional face-to-face learning. Moreover, the results showed that teachers are having challenges in preparing online classes because of the development of conducting online classes and the lack of training. However, parents showed negative attitudes regarding the benefits and values of remote education and preferred conventional learning styles in elementary schools. Parents tended to reject and resist distance learning for several reasons: professional knowledge and lack of time to support their young kids in online classes, the shortcomings of e-learning, young children's inadequate self-regulation. Saudi parents are neither trained nor ready to use e-learning. The study provided suggestion and implications for teacher education and policymakers.

온라인 영재교육 프로그램에서 학습자 배경변인과 특성에 따른 효과성 인식과 만족도 차이 분석 (Analysis of The Perception of Effectiveness and Satisfaction According to Learners' Background Variables and Characteristics in Online Gifted Education Program)

  • 채유정;이성혜;박성희
    • 영재교육연구
    • /
    • 제26권4호
    • /
    • pp.611-633
    • /
    • 2016
  • 본 연구에서는 온라인영재교육 수강생의 성별, 학교급, 수강과목, 인터넷 수업에 자기효능감, 자기주도학습능력에 따른 프로그램 효과성 인식과 만족도 차이를 분석하고자 하였다. 본 연구를 위해 K 영재교육원 온라인 영재교육 과정을 이수한 중학교 1학년~고등학교 2학년 학생 630명(남학생 402명, 여학생 228명)이 설문에 참여하였다. 온라인 영재교육 프로그램 효과성 인식과 만족도를 측정하기 위해 기존의 사이버가정학습 효과성 연구에 사용되었던 연구도구를 수정, 보완하였고, 인구배경학적 특성을 포함하여 총 48문항이 제시되었다. 온라인 영재교육 프로그램의 효과성 인식에 영향을 미치는 배경변인을 분석하기 위해 배경변인에 따라 두 독립표본 t검증 또는 일원분산분석을 사용하였다. 또한, 온라인 영재교육 프로그램의 만족도에 영향을 미치는 배경변인을 분석하기 위해 다변량 분산분석을 사용하였다. 연구 결과는 다음과 같다. 첫째, 온라인 영재교육 프로그램의 효과성 인식은 전반적으로 긍정적인 것으로 나타났다. 둘째, 온라인 영재교육 프로그램에 대한 만족도에 대해서도 대체로 만족하는 수준이었고, 세부적으로 살펴보면 온라인 영재교육 프로그램에 대한 체제만족도가 상호작용만족도보다는 높게 나타났다. 셋째, 온라인 영재교육 프로그램의 효과성 인식과 만족도에 공통적으로 영향을 미치는 배경변인은 학교급, 인터넷수업에 대한 자기효능감, 자기주도학습능력으로 나타났다. 이와 같은 결과를 바탕으로 효과적인 온라인 영재교육을 위해 필요한 콘텐츠 및 프로그램 요소를 제안하였다.