• 제목/요약/키워드: Active Learning

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Effect Analysis of Active Flipped Learning using Interactive Application (인터랙티브 앱을 활용한 능동적 플립 러닝 효과 분석)

  • Lee, Seunghoon;Chun, Seokju
    • Journal of The Korean Association of Information Education
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    • v.21 no.5
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    • pp.487-495
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    • 2017
  • The flipped learning is an inverted teaching model where students learn the basic concepts using short videos at home and then come to class to enable effective practice and interactions among teachers and students. However, due to the students' lack of self-regulated competence, most students have difficulties of comprehending the instructional materials out of class by themselves. In this paper, we develop an interactive app for active flipped learning in the mathematics courses in the elementary schools. We examine the effectiveness of the active flipped learning on learners groups with different achievement levels in learning 4th grade mathematics concepts in the elementary schools. The pretest and posttest survey results show that the proposed flipped learning approach has better performance compared to the traditional flipped learning approach.

Alcohol Impairs learning of T-maze Task but Not Active Avoidance Task in Zebrafish

  • Yang, Sunggu;Kim, Wansik;Choi, Byung-Hee;Koh, Hae-Young;Lee, Chang-Joong
    • Animal cells and systems
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    • v.7 no.4
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    • pp.303-307
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    • 2003
  • The aim of this study is to investigate whether alcohol alters learning and memory processes pertaining to emotional and spatial factors using the active avoidance and T-maze task in zebrafish. In the active avoidance task, zebrafish were trained to escape from one compartment to another to avoid electric shocks (unconditioned stimulus) following a conditioned light signal. Acquisition of active avoidance task appeared to be normal in zebrafish that were treated with 1% alcohol for 30 min for 17 days until the end of the behavioral test, and retention ability of learned behavior, tested 2 days later, was the same as control group. In the T-maze task, the time to find a reservoir was compared. While the latency was similar during the 1 st training session between control and alcohol-treated zebrafish, it was significantly longer in alcohol-treated zebrafish during retention test 24 h later. Furthermore, when alcohol was treated 30 min after 2nd session without prior treatment, zebrafish demonstrated similar retention ability compared to control. These results suggest that chronic alcohol treatment alters spatial learning of zebrafish, but not emotional learning.

A Study on Learning Behavior, Learning Motivation and Satisfaction of Engineering Students in e-Learning (공과대학생의 이러닝 강좌 수강행태, 수강동기, 만족도에 관한 연구)

  • Choi, Mi-Na
    • Journal of Engineering Education Research
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    • v.15 no.4
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    • pp.109-117
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    • 2012
  • The purpose of this study is to give the preliminary data and suggestion for introducing and spreading e-learning engineering education through analyzing learning behaviors, learning motivations, and satisfaction of e-learning engineering students. Especially, this comparative study analyzes each research domain according to majors and grades, thereby suggesting more specific and practical results. 2,745 students registered in 38 subjects of e-learning in 2 Universities were analyzed for this study. The study result shows that engineering students are attending around 2 e-learning subjects with a duration of about 30 minutes once a week. The main of learning motivation for e-learning was not easy test level and feasibility of acquiring credit but advantages of e-learning such as freedom of time and space, learning by repetition. The satisfaction scores of e-learning were lower compared to the aspects of system and contents Based on these results, first, an active spread of e-learning to engineering education is necessary because the demand from the engineering students is high enough and they have desirable learning behavior and learning motivation for it. Second, the characteristics of grades need to be taken into consideration on operation of e-learning. Third, a successful e-learning process needs more meticulous and active operation.

Effectiveness of Blended Learning Method on Digital Logic Circuit

  • Lim, Se-Young;Lim, Dong-Kyun;Lee, Ji-Eun
    • International journal of advanced smart convergence
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    • v.4 no.2
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    • pp.34-37
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    • 2015
  • An ideal teaching-learning method, such as the blended learning method, is to motivate interests in education and to allow active class participation of students. Students exposed to this method are hypothesized to be dedicated in learning and their school life. A research was conducted on $11^{th}$ graders in Daejeon city high school specialized in industry; the blended learning method was applied to a course, digital logic circuit and the effects on the students' learning were monitored. The result shows that compared with a common leaning method, the blended learning method is very effective in terms of increasing educational interest, class participation, the level of concentration in class and academic achievement of students. Also, it shows positive feedbacks from the students on the educational videos and the usage of the contents. Conclusively, the blended learning method effectively increases academic achievements through improved educational motivation and active class participation which positively affect the overall satisfaction of participants.

Learning Styles and Preferred Learning Methods of Undergraduate Nursing Students (국내 간호학과 학생들의 학습유형과 선호하는 학습방법과의 관계)

  • An, Gyeong-Ju
    • The Journal of Korean Academic Society of Nursing Education
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    • v.13 no.1
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    • pp.13-22
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    • 2007
  • Purpose: The purpose of this study was to determine learning styles and preferred learning methods of undergraduate nursing students in Korea. Method: Data was collected from 724 nursing students at five universities in Seoul, Busan, Daegu, Daejeon, and Gwangju. Kolb's Learning Style Inventory, a self-report questionnaire was completed. Result: Learning styles of nursing students were diverger 43.5%, accommodator 36.7%, assimilator 10.8%, or converger 9.0% Learning styles were significantly different related to preferred future clinical practice area and grade. Furthermore, active experimentation(AE) learning mode was significantly different by grade. Concrete experience(CE), conceptualization(AC), and active experimentation(AE) learning modes were significantly different preferred future clinical practice area. preferred learning methods were lecture 40.7%, clinical practice 37.2%, self-directed learning 8.7%, laboratory practice 8.0%, and group discussion 5.4%. Preferred learning methods were significantly different by learning styles and grade. Lecture was preferred in diverger and assimilator. Clinical practice was preferred in accommodator and converger. Styles Conclusion: This study suggested that nursing education should be applied to nursing students after examining learning styles and preferred learning methods. In conclusion, nursing educators should help to develop various learning modes for student's balanced learning capabilities.

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The Perceived Controllability of Stress Situations and Children's Coping with Hassles (스트레스 상황에 대한 지각된 통제감과 아동의 스트레스 대처행동)

  • Min, Ha Young;Yoo, An Jin
    • Korean Journal of Child Studies
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    • v.20 no.1
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    • pp.61-77
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    • 1999
  • This study investigated characteristics of children's coping behaviors in the context of perceived controllability of stress in hassles with parent(s), friend-alienation, friend-conflict, and in learning situations. The subjects were 489 sixth grade children selected from seven elementary schools in Seoul. Statistical analysis was by ANOVA, Scheffe' test, and MANOVA. Major findings were that (1) Active, passive, aggressive, and avoidant coping differed by perceived controllability of stress in all 4 stress situations. The children who perceived a higher level of controllability were more active, and less passive, aggressive, and avoidant in coping with each hassle. (2) Perceived controllability was higher in learning related than in friend-conflict situations. Active, passive, and social support seeking coping behavior was higher in learning related stress situations than in friend-conflict situations. Avoidant coping behavior was lower in learning related than in friend-conflict situations.

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A Survey for Improvement of the 'Future Leaders of Korean Medicine' Curriculum in the Korean Medical Association of Clinical Sanghan-Geumgwe (대한상한금궤의학회의 학생우수인재교육과정 개선을 위한 설문조사 연구)

  • Park, Jae-Kyung
    • 대한상한금궤의학회지
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    • v.6 no.1
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    • pp.27-36
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    • 2014
  • Objective : This Study aims to survey the current situation of the 'Future Leaders of Korean Medicine' curriculum and thereby improve the quality of the curriculum. Methods : 10 students in the curriculum answered 3 items of the NSSE questionnaires; 'Active and Collaborative Learning', 'Student-Faculty Interaction', 'Satisfaction'. Results : 'Worked with other students on projects', 'Tutored or taught other students (paid or voluntary)' average frequencies are relatively low in the 'Active and Collaborative Learning' item. 'Worked with faculty members on activities other than course-work' average frequency is relatively low in the 'Student-Faculty Interaction' item. Conclusions : The curriculum should be improved to encourage the students to take the leading roles at Collaborative Learning and to interact with the advisors.

Active Learning with Pseudo Labeling for Robust Object Detection (강건한 객체탐지 구축을 위해 Pseudo Labeling 을 활용한 Active Learning)

  • ChaeYoon Kim;Sangmin Lee
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.712-715
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    • 2023
  • 딥러닝 기술의 발전은 고품질의 대규모 데이터에 크게 의존한다. 그러나, 데이터의 품질과 일관성을 유지하는 것은 상당한 비용과 시간이 소요된다. 이러한 문제를 해결하기 위해 최근 연구에서 최소한의 비용으로 최대의 성능을 추구하는 액티브 러닝(active learning) 기법이 주목받고 있는데, 액티브 러닝은 모델 관점에서 불확실성(uncertainty)이 높은 데이터들을 샘플링 하는데 중점을 둔다. 하지만, 레이블 생성에 있어서 여전히 많은 시간적, 자원적 비용이 불가피한 점을 고려할 때 보완이 불가피 하다. 본 논문에서는 의사-라벨링(pseudo labeling)을 활용한 준지도학습(semi-supervised learning) 방식과 학습 손실을 동시에 사용하여 모델의 불확실성(uncertainty)을 측정하는 방법론을 제안한다. 제안 방식은 레이블의 신뢰도(confidence)와 학습 손실의 최적화를 통해 비용 효율적인 데이터 레이블 생성 방식을 제안한다. 특히, 레이블 데이터의 품질(quality) 및 일관성(consistency) 측면에서 딥러닝 모델의 정확도 성능을 높임과 동시에 적은 데이터만으로도 효과적인 학습이 가능할 수 있는 메커니즘을 제안한다.

Applications of Experiential Learning Theory to Graduate Medical Education (졸업 후 의학교육에 경험학습이론의 활용)

  • Lee, Young Hee;Kim, Byung Soo
    • Korean Medical Education Review
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    • v.11 no.1
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    • pp.11-20
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    • 2009
  • The purpose of this study was to introduce the concepts of experiential learning and the Kolb's model, and to review some applications of experiential learning theory in graduate medical education. The published literature on GME and education for general practitioners applying the experiential theory and the Kolb's model was reviewed. Experience learning defined the cyclical learning process which emphasizes the learners' reflective thinking of the learners' concrete experiences and their active participation in continuous learning actives. Kolb includes this 'cycle of learning' as a central principle in his experiential learning theory. This is typically expressed as a four-stage cycle of learning. Kolb's cycle moves through concrete experience(CE), reflective observation(RO), abstract conceptualization(AC) and active experimentation(AE). Components of continuing education of the adult learner were based on autonomy, context of learning, and competence and performance as educational objectives. Some strategies for graduate medical education were reflective thinking, self-directed learning, morning reporting and feedback with peer review, etc. Opportunities for learning from experience in practical life can be made to enhance reflective thinking and performance of practitioners. Strategies to develop reflective practice among physicians should be explored by further research.

Development of Semi-automatic Construction Tool for Named Entity Dictionary based on Active Learning (능동 학습 기법을 활용한 개체명 사전 반자동 구축 도구 개발)

  • Yun, Bo-Hyun;Oh, Hyo-Jung
    • The Journal of Korean Association of Computer Education
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    • v.18 no.6
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    • pp.81-88
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    • 2015
  • Along with advent of Web 3.0 era and advanced technologies of IoT(Internet of Things), massive amounts of information are generated. Reflecting this trend, this paper developed a semi-automatic construction tool for named entity dictionary based on active learning. Our proposed method chose error candidates to verify among the preliminary results using initial trained model and re-trained the model for correctly labeled data by user. We adopt active learning approach for minimizing human effort utilized metadata features of Wikipedia. Based on experimental results using our tool, we show that 68.6% errors were automatically corrected.