• 제목/요약/키워드: Online Feedback

검색결과 253건 처리시간 0.028초

Using topic modeling-based network visualization and generative AI in online discussions, how learners' perception of usability affects their reflection on feedback

  • Mingyeong JANG;Hyeonwoo LEE
    • Educational Technology International
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    • 제25권1호
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    • pp.1-25
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    • 2024
  • This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.

Analyzing the Relationships among Intention to Use, Satisfaction, Trust, and Perceived Effectiveness of Review Boards as Online Feedback Mechanism in Shopping Websites (온라인 피드백 메커니즘으로서 상품평 게시판의 지각된 효과성과 신뢰, 만족, 이용의도간의 관계구조분석)

  • Kim, Seung-Woon;Kang, Hee-Taek
    • Journal of the Korean Operations Research and Management Science Society
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    • 제32권2호
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    • pp.53-69
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    • 2007
  • Internet shopping websites have offered comfort to consumers in shopping and built trust relationships with them by providing electronic agents for recommendation, escrow services, and customer centers etc. But as there is little big difference among the shopping websites in terms of technical competence, website design, operational policy, they recognize online feedback (reviews or recommendation of consumers or experts) and online feedback mechanism as important marketing tools. Based on online feedback related studies, this study explores antecedents (consensus, vividness of reviews, interactions in review boards) of the perceived effectiveness of review boards which are text-based feedback mechanisms and its consequences such as trust, satisfaction, and intention to use. The results show that the perceived effectiveness of review boards is significantly affected by vividness of reviews and interactions in review boards, and the impact of interaction in review boards on the perceived effectiveness of review boards is stronger than that of vividness of reviews. The results also show that the perceived effectiveness of review boards has a significant influence on trust and satisfaction with the shopping websites, and intention to use is influenced by both trust and satisfaction.

Nonlinear ANC using a NPVSS-NLMS algorithm and online modelling of an acoustic linear feedback path (NPVSS-NLMS 알.고리즘과 온라인 선형 피드백 경로 모델링을 이용한 비선형 능동 소음 제어)

  • Seo, Jae-Beom;Nam, Sang-Won
    • The Transactions of The Korean Institute of Electrical Engineers
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    • 제59권5호
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    • pp.1001-1004
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    • 2010
  • Acoustic feedback and background noise variation can degrade the performance of an active noise control (ANC) system. In this paper, nonlinear ANC using a non-parametric VSS-NLMS (or NPVSS-NLMS) algorithm and online feedback path modeling is proposed, whereby the conventional linear ANC with online acoustic feedback-path modeling is further extended to nonlinear Volterra ANC with a linear acoustic feedback path. In particular, the step-size of the NPVSS-NLMS algorithm is controlled to reduce the effect of background noise variation in the ANC system. Simulation results demonstrate that the proposed approach yields better nonlinear ANC performance compared with the conventional nonlinear ANC method.

Evaluating Corrective Feedback Generated by an AI-Powered Online Grammar Checker

  • Moon, Dosik
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.22-29
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    • 2021
  • This study evaluates the accuracy of corrective feedback from Grammarly, an online grammar checker, on essays written by cyber university learners in terms of detected errors, suggested replacement forms, and false alarms.The results indicate that Grammarly has a high overall error detection rate of over 65%, being particularly strong at catching errors related to articles and prepositions. In addition, on the detected errors, Grammarly mostly provide accurate replacement forms and very rarely make false alarms. These findings suggest that Grammarly has high potential as a useful educational tool to complement the drawbacks of teacher feedback and to help learnersimprove grammatical accuracy in their written work. However, it is still premature to conclude that Grammarly can completely replace teacher feedback because it has the possibility (approximately 35%) of failing to detect errors and the limitationsin detecting errors in certain categories. Since the feedback from Grammarly is not entirely reliable, caution should be taken for successful integration of Grammarly in English writing classes. Teachers should make judicious decisions on when and how to use Grammarly, based on a keen awareness of Grammarly's strengths and limitations.

The Effects of Feedback Patterns by Instructor to the Discussion Participation Levels and Satisfaction Levels in the Online Discussion Environments (온라인 토론 환경에서 교수자의 피드백 형태가 토론 참여도와 만족도에 미치는 효과)

  • Kim, Tae-Woong
    • Journal of Engineering Education Research
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    • 제13권6호
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    • pp.24-32
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    • 2010
  • This study deals with the effect of feedback patterns by instructor's social message in the online discussion environments. Based on these research results, it was suggested feedback patterns by instructor's social message should be utilized in order to improve the discussion participation and satisfaction of online discussion environments.

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A Case Study of Online Video Lecture : Focusing on 'Electromagnetism' Course at Junior College (온라인 동영상 수업 사례 : 전문대학 '전기자기학' 교과목을 중심으로)

  • Kim, Mi-ra
    • Journal of Engineering Education Research
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    • 제25권5호
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    • pp.94-103
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    • 2022
  • In this study, we examined the cases of online video classes conducted under the COVID-19 situation for 46 first-year students majoring in electrical engineering at a 3-year college in Gyeongnam. The research was carried out according to the course development process so that classes could be conducted efficiently, focusing on electromagnetism(1) course in the second semester of the first year. The online class consisted of uploading PPT recorded videos and lecture materials to the LMS and giving assignments. The contents of the study were in the scope of examining learners' perceptions through online learning contents, assignment submission, mutual feedback between instructors and learners, university-level lecture evaluation, and free opinions on online video-based electromagnetism(1) classes. As a result of the study, it was confirmed that online lecture review and problem-solving are particularly important for understanding lecture materials, and also given the nature of engineering subjects that require plenty of mathematical expressions, the detailed and immediate feedback provided by instructor enhances learners' class satisfaction and understanding. Based on these, the direction of online classes to be developed after the COVID-19 pandemic and teaching and learning methods suitable for the characteristics of subjects were discussed.

Implications for Teacher Education through Pre-Service Science Teachers' Perception and Practice Cases on Online Formative Assessment (온라인 형성평가에 대한 예비 과학교사의 인식과 실행 사례를 통해 살펴본 교사 교육의 시사점)

  • Hyojoon, Kim;Jinwoong, Song
    • Journal of The Korean Association For Science Education
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    • 제42권5호
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    • pp.501-514
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    • 2022
  • This study aims to reveal what is necessary for pre-service science teachers to make good use of online formative assessment in the context of online classes. For 22 pre-service physics teachers, first, the preliminary perception of online classes, online formative assessment, and formative assessment was investigated; second, the practice process of online formative assessment was examined. Then the differences between perception and practice were compared and analyzed. Data were collected in preliminary surveys, lesson plans, online formative assessment items, and interview data. As a result of the study, an interaction was mentioned as the difficulty of online classes in the preliminary perception, and pre-service teachers mentioned the use of technology, feedback, and adjustment as advantages of online formative assessment. In most cases of practice, the automated feedback was used using the platform's technology, but it did not lead to adjustment and interaction. In addition, the use of items in online formative assessment was not suitable for formative functions. The reason why the interaction using formative feedback did not occur seems to be because the understanding of formative assessment was insufficient. Pre-service teachers need to be prepared for the 'formative' function through the feedback of online formative assessment so that can lead to interaction in online classes. The shift to online classes is creating difficulties, especially in interaction. It is necessary to prepare and educate pre-service teachers on fundamental aspects that can overcome these difficulties.

The Problem/Project-Based Learning (PBL/PjBL) at Online Classes

  • Kim, Yangsoon
    • International Journal of Advanced Culture Technology
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    • 제9권1호
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    • pp.162-167
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    • 2021
  • The aim of this paper is to analyze the development of effective online Problem-Based Learning (PBL) and Project-Based Learning (PjBL). The collaborative PBL/PjBL become one of the hot issues with the rapid growth of online learning in the era of COVID-19. Educators try to get innovative to continue instruction without sacrificing student engagement, thus adopting an instructional model of PBL/PjBL. The PBL process involves clarifying terms, defining complex problems, brainstorming, structuring and hypothesis while PjBL includes project-planning, implementation, communicating the results of a project in a presentation and evaluations with immediate individually tailored feedback within a predetermined period. Despite the differences between online and offline learning, the benefits of learning online or offline are practically the same if enough bidirectional interactions between instructors and students are possible. We argue that online qualifications are just the same as those of offline ones in PBL/PjBL models, therefore, the standards of online/offline learning are identical since education is a two-way communication.

Neurointerface Using an Online Feedback-Error Learning Based Neural Network for Nonholonomic Mobile Robots

  • Lee, Hyun-Dong;Watanabe, Keigo;Jin, Sang-Ho;Syam, Rafiuddin;Izumi, Kiyotaka
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.330-333
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    • 2005
  • In this study, a method of designing a neurointerface using neural network (NN) is proposed for controlling nonholonomic mobile robots. According to the concept of virtual master-slave robots, in particular, a partially stable inverse dynamic model of the master robot is acquired online through the NN by applying a feedback-error learning method, in which the feedback controller is assumed to be based on a PD compensator for such a nonholonomic robot. A tracking control problem is demonstrated by some simulations for a nonholonomic mobile robot with two-independent driving wheels.

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Feedback Order and Problem-Solving Experience in Competitive Problem-Solving : An Empirical Analysis of Online Innovation Contests (경쟁적 문제 해결 과정에서 피드백 순서와 문제 해결 경험 : 온라인 혁신 경진 대회의 실증 분석)

  • Mun, Hee Jin;Chung, Yerim;Park, Kyung Min
    • Journal of the Korean Operations Research and Management Science Society
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    • 제38권1호
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    • pp.29-44
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    • 2013
  • This study suggests that as receiving feedback is moved back, the effectiveness of problem-solving increases. Utilizing data from innovation contests in which a number of problem solvers compete with each other, we answer questions such as whether the order of receiving first feedback affects problem-solving effectiveness and how problem-solving experience moderates the relationship between the first feedback order and problem-solving effectiveness. Empirical results based on data collected from Kaggle, an online platform for innovation contests, showed that the order that contest participants receive the first feedback increases problem-solving effectiveness. Furthermore, the more prior experience of contest participants accentuates the suggested relationship between the order of receiving the first feedback and problem-solving effectiveness.