• Title/Summary/Keyword: 튜터 역할

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Design and Implementation of a Interaction Model in a Virtual Education System (가상교육시스템에서 상호작용 모형 설계 및 구현)

  • Jeong, Eun-Seon;Song, Hee-Heon;Kang, Oh-Han
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.223-226
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    • 2003
  • 정보통신기술의 발달로 최근 가상교육이 새로운 교육방식의 하나로 자리잡고 있다. 그러나, 긍정적 효과에 대한 기대와는 달리 학습자와 교수자 모두 가상교육시스템을 활용한 교수-학습에 부담을 가지고 있다. 본 연구에서는 이를 해결하기 위해 튜터를 이용한 가상교육을 제안하였다. 튜터의 역할을 학습시스템에 투입하여, 학습자와의 상호작용을 통해 학업성취를 높이기 위해 학습자-튜터간 상호작용 모형을 개발하였다. 이 모형을 적용한 가상교육을 실시한 결과 학업성취도에 있어서 긍정적인 효과를 나타내었다.

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The Role of Effective Tutors Recognized by Students who have Experienced Problem-Based Learning-Focused on Focus Group Interview (문제중심학습을 경험한 학생들이 인식하는 효과적인 튜터의 역할-Focus group을 중심으로)

  • Choi, Eun-Young
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.469-476
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    • 2020
  • This study is a qualitative study to grasp the meaning of the effective role of tutors of college students experiencing problem-based learning through focus group interviews. The subjects of this study were 4th grade students in the Department of Nursing who had experienced PBL, and a total of 21 people were divided into 3 groups and interviewed. Data were analyzed in content to find meaningful topics. The results of this study were analyzed into two subjects and eight categories. Based on the research results, if we summarize the role of effective tutors recognized by students in PBL. 1) Create a permissive atmosphere so that students can express their ideas freely and interact. 2) Give praise and encouragement. 3) Encourage all learners to participate. In particular, learners with low participation should be asked questions to promote active discussion. 4) Avoid unnecessary intervention and participate in the discussion together. 5) Adjust the learning speed and manage the time well. 6) Develop a scenario that meets the goals. 7) Classes are run around questions that can promote learners' thinking. 8) It plays a role of helping to form knowledge by providing positive feedback to learners' responses.

Tutor System for Programming Education on the WWW (웹 기반 프로그래밍 튜터 시스템)

  • Park, Seong-Jin;Park, Phan-Woo
    • Journal of The Korean Association of Information Education
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    • v.5 no.2
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    • pp.230-239
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    • 2001
  • Programming education is an important part of the ICT education field, and helps to increase the ability of analyzing, logical thinking, and solving procedural problems. Unfortunately, there is very little chance to learn computer programming nowadays. In addition, students have to install the translating program of the programming language they wish to study. In this paper, we describe the system we designed and implemented on the Internet, which can offer the setting to make programs to run on the WWW. Students can make, edit and run programs on the WWW though they did not set up the language translator program on their local computers.

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On the Development of Animated Tutoring Dialogue Agent for Elementary School Science Learning (초등과학 수업을 위한 애니메이션 기반 튜터링 다이얼로그 에이전트 개발)

  • Jeong, Sang-Mok;Han, Byeong-Rae;Song, Gi-Sang
    • Journal of The Korean Association of Information Education
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    • v.9 no.4
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    • pp.673-684
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    • 2005
  • In this research, we have developed a "computer tutor" that mimics the human tutor with animated tutoring dialog agent and the agent was integrated to teaching-learning material for elementary science subject. The developed system is a natural language based teaching-learning system using one-to-one dialogue. The developed pedagogical dialogue teaching-learning system analysis student's answer then provides appropriate answer or questions after comparing the student's answer with elementary school level achievement. When the agent gives either question or answer it uses the TTS(Text-to-Speech) function. Also the agent has an animated human tutor face for providing more human like feedback. The developed dialogue interface has been applied to 64 6th grade students. The test results show that the test group's average score is higher than the control group by 10.797. This shows that unlike conventional web courseware, our approach that "ask-answer" process and the animated character, which has human tutor's emotional expression, attracts students and helps to immerse to the courseware.

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A development of MTP e-portfolio evaluation model for the college students of science and engineering school (이공계 대학 학부생을 위한 MTP(Muti-grade Tutoring Project) e포트폴리오 평가 모형 개발)

  • Choi, Young-Mee;Choo, Moon-Won;Han, Young-Shin
    • Journal of The Korean Association of Information Education
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    • v.10 no.3
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    • pp.413-422
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    • 2006
  • MTP(Multi-graded Tutoring Project) is a designed curriculum needed to perform a high quality project to improve teamwork and major skills for college student of science and engineering. Each student can experience teaching activities as a tutor and learning activities as a tutee in the MTP for three years. Through this curriculum, students are expected to obtain the capabilities to set up and search the goal of given projects, to make human network among multi-graded students and professionals which could be critical for finding careers, and to perform graduation projects in a more systematic and co-operated way, resulting in highly-qualified outputs. In this paper, MTP e-portfolio evaluation model is suggested. This model evaluates the individual-level performance operating in MTP curriculum. The evaluation model is described with three dimensional structure composed of participator, changes in learning, and learning processes. The resultant model could be utilized as tools for evaluating the curriculum set up for the multi-graded project-based teaching environment.

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One-shot multi-speaker text-to-speech using RawNet3 speaker representation (RawNet3를 통해 추출한 화자 특성 기반 원샷 다화자 음성합성 시스템)

  • Sohee Han;Jisub Um;Hoirin Kim
    • Phonetics and Speech Sciences
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    • v.16 no.1
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    • pp.67-76
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    • 2024
  • Recent advances in text-to-speech (TTS) technology have significantly improved the quality of synthesized speech, reaching a level where it can closely imitate natural human speech. Especially, TTS models offering various voice characteristics and personalized speech, are widely utilized in fields such as artificial intelligence (AI) tutors, advertising, and video dubbing. Accordingly, in this paper, we propose a one-shot multi-speaker TTS system that can ensure acoustic diversity and synthesize personalized voice by generating speech using unseen target speakers' utterances. The proposed model integrates a speaker encoder into a TTS model consisting of the FastSpeech2 acoustic model and the HiFi-GAN vocoder. The speaker encoder, based on the pre-trained RawNet3, extracts speaker-specific voice features. Furthermore, the proposed approach not only includes an English one-shot multi-speaker TTS but also introduces a Korean one-shot multi-speaker TTS. We evaluate naturalness and speaker similarity of the generated speech using objective and subjective metrics. In the subjective evaluation, the proposed Korean one-shot multi-speaker TTS obtained naturalness mean opinion score (NMOS) of 3.36 and similarity MOS (SMOS) of 3.16. The objective evaluation of the proposed English and Korean one-shot multi-speaker TTS showed a prediction MOS (P-MOS) of 2.54 and 3.74, respectively. These results indicate that the performance of our proposed model is improved over the baseline models in terms of both naturalness and speaker similarity.

Development and mathematical performance analysis of custom GPTs-Based chatbots (GPTs 기반 문제해결 맞춤형 챗봇 제작 및 수학적 성능 분석)

  • Kwon, Misun
    • Education of Primary School Mathematics
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    • v.27 no.3
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    • pp.303-320
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    • 2024
  • This study presents the development and performance evaluation of a custom GPT-based chatbot tailored to provide solutions following Polya's problem-solving stages. A beta version of the chatbot was initially deployed to assess its mathematical capabilities, followed by iterative error identification and correction, leading to the final version. The completed chatbot demonstrated an accuracy rate of approximately 89.0%, correctly solving an average of 57.8 out of 65 image-based problems from a 6th-grade elementary mathematics textbook, reflecting a 4 percentage point improvement over the beta version. For a subset of 50 problems, where images were not critical for problem resolution, the chatbot achieved an accuracy rate of approximately 91.0%, solving an average of 45.5 problems correctly. Predominant errors included problem recognition issues, particularly with complex or poorly recognizable images, along with concept confusion and comprehension errors. The custom chatbot exhibited superior mathematical performance compared to the general-purpose ChatGPT. Additionally, its solution process can be adapted to various grade levels, facilitating personalized student instruction. The ease of chatbot creation and customization underscores its potential for diverse applications in mathematics education, such as individualized teacher support and personalized student guidance.