• 제목/요약/키워드: Learning Types

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Effects of Peer Feedback Types and Feedback Acceptance Levels on Academic Achievement in Middle School Project-based Learning

  • JIN, Myunghwa;LIM, Kyu Yon
    • Educational Technology International
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    • 제20권1호
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    • pp.57-81
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    • 2019
  • This study aimed to investigate effects of peer feedback types and feedback acceptance levels on academic achievement in project-based learning. The participants were 70 middle-school students taking an English course. They were divided into corrective and suggestive feedback groups. These participants were asked to create user-created content (UCC) as an individual task and provide peer feedback on a peer's UCC in the same type of feedback group. Results showed that there were significant differences in academic achievement according to peer feedback types (corrective vs. suggestive) and feedback acceptance levels (high vs. low). In particular, the suggestive peer feedback group had higher academic achievement than the corrective peer feedback group. Moreover, the group with a high level of feedback acceptance gained higher academic achievement than the group with a low level of feedback acceptance. Moreover, there was an interaction effect between peer feedback types and feedback acceptance on academic achievement. These results indicate that peer feedback types and feedback acceptance should be considered for effective peer feedback activity. These findings provide practical implications for the design and implementation of peer feedback activity in project-based learning.

온라인 소프트웨어 교육에서 학습자의 자기조절학습 관련 특성에 기반한 온라인 학습 유형 분석: 계층적 군집 분석 기법을 활용하여 (Investigating Online Learning Types Based on self-regulated learning in Online Software Education: Applying Hierarchical Cluster Analysis)

  • 한정윤;이성혜
    • 컴퓨터교육학회논문지
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    • 제22권5호
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    • pp.51-65
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    • 2019
  • 본 연구에서는 온라인 소프트웨어 교육 환경에서 학습자의 자기조절학습특성에 따른 온라인 학습 유형을 파악하고 각 유형의 특징을 살펴봄으로써 보다 전략적인 온라인 소프트웨어 교육을 위한 시사점을 제공하고자 하였다. 이를 위해 K대학의 온라인 소프트웨어 교육과정에 참여하고 있는 K-12 학생 809명의 온라인 학습 로그 데이터로부터 자기조절학습 특성 변인을 추출한 후, 계층적 군집 분석 기법(hierarchical cluster analysis)을 활용하여 자기조절학습 특성에 따른 학습자 군집 도출 및 군집 유형에 따른 온라인 학습 특성과 학습 결과의 차이를 비교 분석하였다. 그 결과, 온라인 소프트웨어 교육 학습자들의 자기조절학습 유형은 '고수준 자기조절학습형(군집 1)', '중수준 자기조절학습형(군집 2)', 그리고 '저수준 자기조절학습형(군집 3)'으로 나타났다. 온라인 자기조절학습 유형에 따른 학업성취도 수준은 '고수준 자기조절학습형(군집 1)'이 가장 높고, '저수준 자기조절학습형(군집 3)'이 가장 낮은 것으로 확인되었다. 이러한 결과를 바탕으로 효과적인 온라인 소프트웨어 교육 운영을 위한 시사점을 제시하였다.

CAI 에서 학습자의 통제 소재와 학습 주도권이 학업 성취도에 미치는 영향 (The Effect of Learner's Locus of Control and Types of Learning Control on Academic Achievement in CAl)

  • 백미숙;이성근
    • 컴퓨터교육학회논문지
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    • 제4권1호
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    • pp.65-76
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    • 2001
  • 본 논문은 학습자의 통제소재와 관련하여 CAI의 학습효과를 검사하고, 학습자의 통제소재와 학습주도권이 상호관련하여 학업성취에 영향에 대해 분석하였다. 실험 대상은 전남 여수 J중학교 1학년 4개반 160명을 대상으로 선정하였고, 일차적으로 통제소재 검사를 실시하여 내적 외적 통제자 집단으로 분류하였다. 이들 집단에 대해 교사 주도형 CAI와 학습자 주도형 CAI로 수업을 실시하여 통제소재에 따른 학업 성취를 조사하였으며 집단간 차를 통계적으로 검증하는데 ANOVA 변량 분석을 실시하여 다음과 같은 연구 결과를 나타냈다. 첫째, CAI학습결과로서 내적 통제자집단의 학업 성취가 외적 통제자집단에 비해 높았다. 둘째, 학습자 주도형 CAI학습집단이 교사 주도형 CAI학습 집단보다 학업 성취가 높았다. 셋째, 학습자의 통제소재와 CAI의 학습주도권형에 따른 학업성취에는 상호 유의미한 관계가 없었다.

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A Case Study on the Implement of Teaching and Learning Models aiming at Training Creative Engineers: focused on the SICAT

  • KWON, Sungho;OH, Hyunsook;KIM, Sungmi
    • Educational Technology International
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    • 제11권1호
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    • pp.27-46
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    • 2010
  • The purpose of this paper is to apply the newly developed SICAT teaching and learning model to the actual scene of teaching and learning and draw a point of discussion for utilizing teaching and learning model, by uncovering the satisfaction of students and the inhibiting/facilitating elements when using the model. SICAT(Scientific Inquiry and Creative Activity with Technology; from here on SICAT), a teaching and learning model custom-built for engineering education, was developed, as more and more people paid attention to the demand for creative engineers. It was developed from the basis of PBL(Problem Based Learning), includes three sub-types which can be applied to the actual theory, design, and experimentation fields within engineering education. The three sub-types, which are ARDA(Analysis-Reasoning Activity & Discussion-Argumentation Activity), CoCD (Collaboration Activity & Capstone Design Activity), and ReSh(Reflection Activity & Sharing Activity), respectively support deductive and argumentation activities, creative design and collaboration activities, and retrospection and sharing activities. However, no research has been conducted to investigate whether or not there are inhibiting or facilitating elements in the application procedure, or what the rate of satisfaction for students is, when applying the SICAT model, which was newly developed to innovate existing engineering education, to the actual site of teaching and learning. Therefore, this research applied three types of SICAT teaching and learning models to the theory, design, and experimentation classes at the department of materials science and engineering at Hanyang University for eight weeks. After application, the students, teachers and tutors were surveyed and interviewed, and then the results analyzed in order to uncover inhibiting/facilitating elements and the rate of satisfaction. The satisfaction rate of students from the SICAT teaching and learning model was 3.78(in a perfect score of 5: The A type-3.65, The C type-3.80, The R type-3.90), and inhibiting/facilitating elements were drawn from the aspects of learning activities, support system. In conclusion, they can be contributed for implications of SICAT teaching and learning model universal use at engineering education in University.

학교 교실 LED 조명의 색온도에 대한 주관적 평가 (Subjective Evaluation on the Color Temperatures of LED illumination in the Classroom)

  • 지순덕;김채복
    • 조명전기설비학회논문지
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    • 제25권1호
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    • pp.30-41
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    • 2011
  • This study performs the subjective evaluations of LED illumination conditions according to three types of color temperatures (7,000[K], 5,000[K], 3,000[K]) after employing LED illumination system in the classroom, Since the objective of this study is to develop an artificial lighting conditions like day light comfortable to students in the classroom, the learning effect based on three types of LED illumination conditions are analyzed. Three factors (learning intention, learning environment, learning motivation) are extracted by ANOVA and there are preference differences of LED illumination conditions between learning intention and learning environment factors. Especially, preference differences of LED illumination conditions are existed about calculation, reading and fatigue reduction. The test results of this study can be applied to obtaining high achievement of learning based on the lighting conditions.

기혼여성 학습자의 학습에 대한 갈등과 만족도 분석 (Analysis of Conflict and Satisfaction on Learning of Married Woman Learners)

  • 이현정;원효헌;강버들
    • 수산해양교육연구
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    • 제28권3호
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    • pp.760-768
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    • 2016
  • This study was aimed at analyzing married woman learners' types of learning desire, factors of conflict and satisfaction of learning. The subjects were 165 married women who were in attendance at general graduate schools located in Busan city and Gyeongnam province. The results were as follows. Firstly, Married woman learners preferred schools of natural sciences to schools of liberal arts, and entered graduate schools mainly according to their wishes. Secondly, Their learning desire type was followed by purpose-oriented, learning-oriented, and activity-oriented types. Thirdly, internal factor in their conflict factor was higher than external factor. Lastly, positive aspect in learning satisfaction was higher than negative aspect.

초등 예비교사의 과학학습 동기 유형에 따른 과학 배움 과정 탐색 (An Exploration on Pre-Service Elementary School Teachers' Science-Learning Processes according to Their Motivation Types)

  • 김동렬
    • 한국초등과학교육학회지:초등과학교육
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    • 제40권2호
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    • pp.127-144
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    • 2021
  • 본 연구의 목적은 초등 예비교사를 대상으로 과학학습 동기 유형과 그 유형별 과학 배움 과정을 근거이론에 따라 탐색하는 데 있다. 본 연구에서는 초등 예비교사 132명을 대상으로 과학학습 동기 유형분석하고 그중 12명을 대상으로 근거이론 방법을 적용한 과학 배움 과정을 살펴보았다. 초등 예비교사들의 과학학습 동기 유형을 분석한 결과, 철두철미형이 가장 많았으며 그다음으로는 지도자형, 탐구자형, 조정자형 순으로 나타났다. 과학 배움 과정에서 나타난 여러 가지 현상들을 코딩한 결과, 근거이론 패러다임 모형 요소에 따라 30개의 범주를 추출할 수 있었다. 추출한 범주를 토대로 근거이론 패러다임 모형에 따라 각 과학학습 동기 유형별 과학 배움의 과정 흐름을 분석할 수 있었다. 대표적으로 철두철미형은 가르치는 방법과 과학 지식을 습득하기 위하여 과학 강의를 듣거나 과학 도서를 읽고 있으며, 이는 초등교사로서의 의무감으로서 당연히 해야 할 것으로 생각하였다. 임용 시험이나 교육 과정적 환경 요인들에 의해 순수한 의미에서 과학을 배우는 과정을 경험하고 있지는 않으나 개인적 노력과 참여로 과학에 대한 새로운 관점을 가지게 된 것으로 나타났다.

LED 조명의 색 온도에 따른 학습 성과의 객관적 평가 (Objective Evaluation of Learning Performance according to the Color Temperature of LED Illumination)

  • 지순덕;김채복
    • 교육시설 논문지
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    • 제18권2호
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    • pp.25-33
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    • 2011
  • This study performs the objective evaluation on simple comparison and calculation works by students under LED illumination conditions according to three types of color temperatures (7000K, 5000K, 3000K) in the classroom, Since the objective of this study is to develop an electric lighting conditions suitable for students in the classroom, the learning performance under three types of LED illumination conditions were analyzed. The 4 kinds of simple tests concerning with learning performance were developed and test results under natural light and LED illumination by 3 types of color temperatures were analyzed. There were differences by t-test in most cases among simple experiment results of different illumination conditions ($p{\leq}.05$). It was confirmed that illumination condition plays an important role when students simply compare words or perform arithmetic calculations. The experimental results of this study might be applied to designing better luminous environment.

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Effects of Scaffolding Types and Individual Metacognition Levels on Learning Achievement in Online Collaborative Argumentation

  • HUANG, Yipin;ZHENG, Xiaoli;KIM, Hoisoo
    • Educational Technology International
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    • 제22권2호
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    • pp.311-339
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    • 2021
  • This study examined the effects of scaffolding types (Toulmin's Argument Pattern: TAP or Argumentation Vee Diagram: AVD) and individual metacognition levels (low or high) on students' learning achievement in online collaborative argumentation. A total of 191 Chinese undergraduates took part in this study. They were randomly assigned to either the TAP scaffolding, AVD scaffolding, or no scaffolding condition. They were teamed up in small groups of two or three students to argue with their peers using SNS as the online collaborative argumentation environment. The results revealed that students in the TAP and AVD scaffolding conditions did not gain significantly higher retention or transfer scores than students without scaffolding. However, students in the TAP scaffolding condition significantly outperformed those in the AVD scaffolding condition on transfer scores. Individual metacognition did not significantly affect learning achievement in online collaborative argumentation. Additionally, there was no significant interaction effect between scaffolding types and individual metacognition levels on retention or on transfer. The findings have implications for scaffolding design for online collaborative argumentation and also suggest that more attention should be paid to social metacognition rather than to individual metacognition when students work collaboratively.

Adaptive Recommendation System for Tourism by Personality Type Using Deep Learning

  • Jeong, Chi-Seo;Lee, Jong-Yong;Jung, Kye-Dong
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권1호
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    • pp.55-60
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    • 2020
  • Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.