• Title/Summary/Keyword: 학습참여 동기

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Attendance Appraisal for Learner Participation Degree Based Virtual Lecture (학습자 참여도 정보기반 가상강좌 출석평가 모델)

  • Kim, Hyun-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.4
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    • pp.119-129
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    • 2009
  • In The increasing use of computers and high-speed Internet network has greatly influenced education, causing a veering away from the typical and traditional way of delivering instruction. Specifically, the various kinds of Web-based multimedia technology, the interactive activities on the Internet, and satellite broadcasting technology are accelerating the emergence of a virtual-lectures-based educational model, which transcends time and space. Such virtual lectures make it possible for the entire teaching-learning process to be done in a virtual learning environment, thus giving rise to problem regarding learning guidance, feedback, and appraisal. In this paper, we propose a system for attendance appraisal for learner participation degree based virtual lecture, an appraisal element in virtual learning environments. This appraisal model can set the elements of virtual learning environments in such a way as to reflect in the attendance appraisal of the opened virtual learning environment information regarding the learner's participation in class. In addition, this model motivates the learners to actively participate in the virtual learning environment and to support instructors by accomplishing the activities that are needed for attendance appraisal.

Effect of reflection on learning in computer education courses (컴퓨터교육 전공 수업에 적용된 학습성찰의 효과)

  • Heo, Heeok;Kang, Euisung;So, Wonho
    • The Journal of Korean Association of Computer Education
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    • v.19 no.5
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    • pp.11-25
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    • 2016
  • This study aims to investigate the effect of reflection on learning outcomes in higher education. Undergraduates enrolled in 3 courses about computer education were involved in the study. They wrote reflective notes with guided questions over six times throughout a semester, and then their task value, learning engagement and academic achievement were measured followed by a survey and interviews to investigate students' responses. As a result, positive influence of the reflective activities was found in cognitive, behavioral and emotional learning engagement and learning achievement. For further studies, the development of reflective strategies for learning motivation and collaborative reflection was suggested.

The Effect of Process Oriented Guided Inquiry Learning Using Mobile Augmented Reality on Science Achievement, Science Learning Motivation, and Learning Flow in Chemical bond (화학 결합에서 모바일 증강현실을 이용한 과정기반 안내탐구학습이 과학 학업 성취도, 과학 학습 동기, 학습 몰입감에 미치는 영향)

  • Jeon, Young-Eun;Ji, Joon-Yong;Hong, Hun-Gi
    • Journal of The Korean Association For Science Education
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    • v.42 no.3
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    • pp.357-370
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    • 2022
  • In this paper, we developed an augmented reality learning tool suitable for chemical bond learning and proposed a process-oriented guided inquiry learning using mobile augmented reality (POGIL-MAR) to find out how it affects science achievement, science learning motivation and learning flow. Participants were 139 10th-grade students from a coeducational high school in Gyeonggi-do, and they were randomly assigned to the control group (TL), the treatment group 1 (POGIL), and the treatment group 2 (POGIL-MAR). They learned the concept of the chemical bond from the Integrated Science subject for four class periods. Results of two-way ANCOVA revealed that the POGIL-MAR group scored significantly higher than the other groups in a science achievement test, science learning motivation test, and learning flow test, regardless of their prior science achievement. In addition, in the case of the low-level group, the POGIL-MAR group showed a statistically significant improvement in achievement compared to the TL and POGIL groups. The MANCOVA analysis for sub-factors of science learning motivation show that the POGIL-MAR group had significantly higher scores in intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. In particular, the interaction effect between the teaching and learning method and the level of prior achievement was significant in the intrinsic motivation. Meanwhile, the MANCOVA analysis for sub-factors of learning flow show that the POGIL-MAR group had significantly higher scores in clear goals, unambiguous feedback, action-awareness merging, sense of control, and autotelic experience. Based on the results, educational implications for effective teaching and learning strategy using mobile augmented reality are discussed.

The Effects of Simulation Delivery Instruction on Students' Problem Solving Performance and Motivation (컴퓨터 시뮬레이션 활용 수업이 학습자의 문제 해결력과 동기에 미치는 영향)

  • Lee, Youngmin
    • The Journal of Korean Association of Computer Education
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    • v.8 no.5
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    • pp.43-50
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    • 2005
  • The purpose of the study was to compare the effects of two instructional methods, which were the instructor-led instruction and the simulation delivery instruction on students' well-structured and ill-structured problem solving performance and motivation. 29 undergraduate students participated in the study and repeated measure design was used. We found significant difference of means in ill-structured problem solving performance and only relevance scale in motivation.

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The Effects of Culture and Art Activities and Participation Motivation on Subjective Well-Being of Individuals: Focusing on Mediating Effect of Learning Motivation (문화예술활동과 참여 동기가 개인의 주관적 안녕감에 미치는 영향 - 학습동기의 매개효과를 중심으로 -)

  • Kim, Seung Hyuk
    • Korean Association of Arts Management
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    • no.51
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    • pp.35-73
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    • 2019
  • The purpose of this study is to investigate the effects of culture and arts activities (experience, type, frequency) and participation motivation on subjective well-being and to investigate the mediating effects of learning motivation. For this study, the subject is limited to adults who are leading consumers of culture and art activities can decide what activity to do. By survey, data from 1,000 respondents are used for analysis after applying proportional sampling based on the proportion of sex and age indicated in the population statistics. Exploratory factor analysis and reliability analysis were conducted based on the collected data using SPSS v.22.0. The results obtained from the empirical analysis are as follows. First, regarding culture and art activities (experience, type, frequency) and subjective well-being, the results are as follows. H1. Those who experienced culture and arts activities have higher subjective well-being than non-experienced ones. H2. Participating in culture and art activity increases subjective well-being more than just spectating culture and art programs. H3. Heavy participants in culture and art activities have higher subjective well-being than lighter participants. These results indicate that culture and art activities are important variables that have a positive effect on subjective well-being. Therefore, participating in culture and art activities may be an appropriate way to enhance subjective well-being because they are life experiences that individuals can experience in their daily lives. Second, H4. internal motivation and external motivation, sub-factors of participation motivation in culture and art activities, have a positive effect on subjective well-being, and amotivation has a negative effect on subjective well-being. Therefore, in order to improve subjective well-being, it is important to strive to lower amotivation and increase internal and external motivation. Third, H5. learning motivation has a partial mediating effect on the relationship between participation motivation in culture and art activities and subjective well-being. This result suggests that culture and art activities and education might be helpful for subjective well-being when they are conducted together since participation motivation in culture.

A Study of Performance Comparison of MOOC Dropout Prediction utilizing Machine Learning (기계학습 방법을 이용한 MOOC 학습자의 중도 포기 예측 성능 비교 연구)

  • Hur, Yun-A;Lim, Heui-Seok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.323-326
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    • 2016
  • 웹 서비스를 기반으로 이루어진 MOOC(Massive Open Online Course)는 대규모 학습자에게 공개된 온라인 교육이다. MOOC는 교수와 학습자 사이 커뮤니티를 통해 상호 참여적으로 수업을 진행한다. 그러나 무료로 강의를 들을 수 있고 성적을 내지 않기 때문에 학습자들에게 큰 동기 부여가 되지 않아 등록하는 학습자는 많지만 수료하는 학습자는 현저히 적게 나타났다. 본 논문은 이러한 문제 해결 방안 마련을 위해 KDD Cup 2015에서 제공한 MOOC 데이터를 통해 중도 포기와 관련된 변수들을 선정하였으며, Decision Tree, KNN, Logistic Regression, Naive Bayesian, SVM, Neural Network인 6가지 머신 러닝 알고리즘을 통해 데이터 예측의 정확률을 확인하였다. 그 결과 Naive Bayesian이 89.3%로 가장 높은 정확률을 보였다. 본 연구를 통해 중도포기를 정확히 예측하며, 향후 학습자들에게 특정 동기부여의 효과로 학습을 수료하는 결과를 기대할 수 있다.

A Robot Programming Teaching and Learning Model to Stimulate and Maintain Professional High School Student's Learning Motivation (전문계 고등학교 학습자의 동기 유발 및 지속을 위한 로봇 프로그래밍 교수 학습 모형)

  • Jung, Ung-YeoI;Lee, Eun-Kyoung;Lee, Young-Jun
    • The Journal of Korean Association of Computer Education
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    • v.12 no.4
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    • pp.13-21
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    • 2009
  • Educational robots have various potentialities to support programming learners because it is interesting enough to improve the learners' participation and motivation. Nonetheless, some researches assert that the use of educational robot does not necessarily lead to effective and successful learning. With respect to these serious problems, the researchers are emphasizing that it is needed to overcome the probable 'Novelty Effect' by means of considering specific features of the robot programming environment and the participants. We analyzed and found some features of robot programming teaching and learning environment and professional high school students through reviewing of the literatures, and then conducted delphi research to abstract motivational strategies and to develop their applying methods with the specific features. We developed a robot programming teaching and learning model for stimulating and maintaining professional high school student's motivation, which includes 5 factors and 21 strategies.

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A Study on the Application of Teaching Methods for Reinforcing SWP (SWP강화를 위한 교수법 적용에 관한 연구)

  • Cho, Woo-Hong;Choi, Dea-Hun;Byon, Kil-Hee;Yun, Kyoung-Mi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.123-124
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    • 2021
  • 본 연구의 목적은 SWP강화를 위한 교수법 개선 및 적용을 통해 교수자들 스스로 수업방식을 채택해보고 가지고 있는 경험과 노하우를 공유해 학습자 특성에 맞는 사회복지현장 실무형 수업방법을 적용하고 개선 방안을 모색하고자 하였다. 연구결과 첫째, 학습자 동기유발 적용 방안으로 복지현장의 유형별 사업 진행 모습 시청(유튜브 동영상), 사회복지현장의 실무자 초대 또는 인터뷰 영상, 복지현장에 진출한 선배와의 만남 등이 필요하다. 둘째, 학습자 참여 방안으로 복지현장에서 진행하는 행사 참여, 복지기관 홈페이지 또는 유튜브에 댓글(선플) 달기, 복지현장 탐방 또는 실무자와의 인터뷰 영상을 편집하여 제출하는 노력이 필요하다. 셋째, 상호작용 적용 방안으로 수업에 앞서 사회복지현장의 이야기를 다룬 기사, 에세이, 사진 등에 대한 소감으로 소통하는 방법과 SNS 토론(e-campus, 카카오톡 등)을 통해 복지현장에서 중요하게 다루어지는 이슈에 대한 토론 등 적용 방안이 필요하다.

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The Effect of Learning Motivation Induction with Digital Storytelling Technique in E-learning (디지털 스토리텔링 기법을 통한 학습동기유발 효과 연구)

  • Kim, Mirea
    • 한국HCI학회:학술대회논문집
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    • 2006.02b
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    • pp.699-704
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    • 2006
  • 본 연구는 이러닝에 있어서 디지털스토리텔링 기법을 적용함으로써 얻어지는 긍정적 학습효과를 학습동기 유발에 중점을 두고 연구한다. 또한, 연구결과를 통하여 이러닝 환경에서 디지털스토리텔링 기법이 활발히 차용될 수 있는 시작점을 제시하고자 한다. 다양한 학습에 있어서 스토리텔링의 긍정적인 역할은 이미 검증되어왔으며, 현재 이 분야의 연구자들은 학습효과를 높이는 스토리텔링의 공연적 차원을 포착한 비디오, 참여적인 역동적 형태의 기술을 통한 디지털스토리텔링을 발전시키기 위한 문턱에 와 있다. 이러닝과 스토리텔링 간의 큰 그림 안에서, 본 연구는 개별 과목의 지식을 전달하기에 적합한 실제의 디지털 스토리텔링 기법을 제시하고 이러한 기법을 통하여 얻어지는 학습효과를 설문을 통하여 검증한다. 설문을 통하여, 본 연구는 다음과 같은 주요 발견을 할 수 있었다: 학습자들은 이러닝 학습자료에 디지털 스토리텔링 기법이 쓰일 때 보다 많이 동기부여가 되었다. 이것은 ARCS 이론의 4 카테고리-주의력, 관련성, 자신감, 만족감-분야에서 SPSS 10.0을 이용하여 분석한 결과 빈도 및 T-Test에서 디지털 스토리텔링 기법이 쓰일 때 모두 고르게 긍정적인 결과를 보임으로써 결론에 도달하게 된 것이다. 본 연구의 남은 과제는 스토리텔링 기법의 실제 재현기법을 개발하고 이를 통한 학습효과의 증진을 계속 검증하는 것이다.

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A Study on Data Modeling for Learning Analytics (학습분석을 위한 데이터 모델링 연구)

  • Kim, Kyungrog
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.348-349
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    • 2016
  • 교수자와 학습자 활동에 대한 정보를 피드백하여 사용자 스스로 동기부여와 참여를 증대시키기 위해 학습분석이 활용되고 있다. 이는 교수-학습 지원 시스템(LMS, LCSM 등)에서 교수자와 학습자 상호작용에서 발생한 데이터를 기반으로 한다. 이러한 데이터를 보다 유용하게 활용하기 위해서는 데이터 모델이 필요하다. 이에 본 연구에서는 사용자 중심의 교수-학습 활동 데이터를 표현하기 위한 데이터 모델을 제안한다. 이는 사용자와 교수-학습 활동을 결합하여 표현한 것이다.