• Title/Summary/Keyword: 학습피드백

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A Study on the Efficiency of Large-Scale Classes through Small Group Cooperative Learning (소그룹 협동학습을 통한 대단위 수업의 효율성 연구)

  • Chang-Hwan Sung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.431-441
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    • 2023
  • In a good class, the elements that make up the class are organically related as a system. The goal of the class is to foster the ability of students to fully understand the educational content of the subject and then apply it to their professional areas. Therefore, for ideal classes, it is necessary to design students to acquire the necessary theories and apply them practically. The question We always ask ourselves during lectures is how to effectively give large-scale lectures for students. This is also the concern of all professors in charge of large-scale lectures opened across various major fields. Now is the time to find ways to effectively give lectures on a large scale. We studied how it is most effective to design and implement various factors such as lectures, presentation and group organization, assignment, group presentation, professor's group presentation guidance, lecture materials posting, questions and answers, group presentation feedback, final report writing, and grade calculation.

Analysis of Difficulties Experienced by Pre-service Secondary Science Teachers in Student-Teacher Practice (중등 과학 예비교사들이 교육실습에서 겪는 어려움 분석)

  • Kang, Kyung-Hee
    • Journal of The Korean Association For Science Education
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    • v.29 no.5
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    • pp.580-591
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    • 2009
  • The purpose of this study is to get implications on teacher education curriculum according by analyzing pre-service secondary teachers' difficulties during student-teacher practice. Fifty-six pre-service secondary teachers were requested to write anecdotes about their student-teacher practice. Pre-service secondary teachers revealed that they had experienced the most difficulties relating to instruction teaching. They answered that they had especially comprehended inducing interest in diffcult learners, attention, appropriate composition of questions, and learners' understanding levels. Pre-service secondary teachers showed that they had tried to control students in experiment instruction. Also, they demonstrated that time for guidance counseling had been insufficient. They were dissatisfied with the content and level of counseling. Therefore, we need to improve teachers' college curriculum by performing student-teacher practice and feedback. We especially need to systematize teachers' college curriculum on the basis of developing standards of science teachers' expertise.

Analysis of Conceptions of Earth System Cycles as Perceived by College Students (대학생들이 인식하는 지구계 순환의 구성 개념 분석)

  • Kim, Yun-Ji;Jeong, Jin-Woo;Wee, Soo-Meen
    • Journal of The Korean Association For Science Education
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    • v.29 no.8
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    • pp.963-977
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    • 2009
  • The purpose of this paper is to identify college students' conceptions of the earth system cycles as learners of earth science education (ESE) and draw educational implications. An eight-week creative story writing project was held with 62 non-science students taking a general course on earth science. Their creative stories were categorized by analyzing the conceptions and types of cycle with a story mapping technique. The cycle conceptions of earth systems were expressed diversely into 32; most of the cycle types were circular and complex, while the others were branch-shaped and linear types that fail to complete the cycles. College students' conceptions of the earth system cycles is biased toward natural-abiotic systems; less than 30% of them are shown to be aware of all three categories: natural-abiotic, natural-biotic, and human systems. It is essential to diversify the content of education on earth system cycles and help learners develop systematic methods of thinking so that they will be able to recognize the impacts of feedback from human activities through ESE.

Search Re-ranking Through Weighted Deep Learning Model (검색 재순위화를 위한 가중치 반영 딥러닝 학습 모델)

  • Gi-Taek An;Woo-Seok Choi;Jun-Yong Park;Jung-Min Park;Kyung-Soon Lee
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.5
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    • pp.221-226
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    • 2024
  • In information retrieval, queries come in various types, ranging from abstract queries to those containing specific keywords, making it a challenging task to accurately produce results according to user demands. Additionally, search systems must handle queries encompassing various elements such as typos, multilingualism, and codes. Reranking is performed through training suitable documents for queries using DeBERTa, a deep learning model that has shown high performance in recent research. To evaluate the effectiveness of the proposed method, experiments were conducted using the test collection of the Product Search Track at the TREC 2023 international information retrieval evaluation competition. In the comparison of NDCG performance measurements regarding the experimental results, the proposed method showed a 10.48% improvement over BM25, a basic information retrieval model, in terms of search through query error handling, provisional relevance feedback-based product title-based query expansion, and reranking according to query types, achieving a score of 0.7810.

A Study on the Current Status and Improvement Plans for e-Learning Utilization Using the Delphi Technique: Focusing on Scuba Diving Education

  • Sung-Soo Park
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.5
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    • pp.143-153
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    • 2024
  • This study aims to analyze both the current utilization of e-learning in the scuba diving education sector and the possible improvements by using Delphi analysis. The study administered three rounds of Delphi surveys with 25 specialists, including business executives and educational leaders from scuba diving centers and resorts affiliated with organizations that conduct scuba diving education through e-learning. The comparative analysis of the state of e-learning utilization and factors for improvement revealed significant insights. In terms of expected benefits, the analysis highlighted an increase in user convenience, temporal flexibility in learning activities, and easy access to products. However, it identified major issues such as the simplistic mandatory exams, inadequate professional depth in the feedback provided, and a lack of bidirectional communication between learners and instructors. Recommendations for improvements included enhancing communication through various online communities, conducting mandatory exams offline, and developing a variety of content. Conducting regular program quality evaluations, integrating with various diving communities, and assigning dedicated tutors were deemed crucial factors for future development.

Software Education Class Model using Generative AI - Focusing on ChatGPT (생성형 AI를 활용한 소프트웨어교육 수업모델 연구 - ChatGPT를 중심으로)

  • Myung-suk Lee
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.275-282
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    • 2024
  • This study studied a teaching model for software education using generative AI. The purpose of the study is to use ChatGPT as an instructor's assistant in programming classes for non-major students by using ChatGPT in software education. In addition, we designed ChatGPT to enable individual learning for learners and provide immediate feedback when students need it. The research method was conducted using ChatGPT as an assistant for non-computer majors taking a liberal arts Python class. In addition, we confirmed whether ChatGPT has the potential as an assistant in programming education for non-major students. Students actively used ChatGPT for writing assignments, correcting errors, writing coding, and acquiring knowledge, and confirmed various advantages, such as being able to focus on understanding the program rather than spending a lot of time resolving errors. We were able to see the potential for ChatGPT to increase students' learning efficiency, and we were able to see that more research is needed on its use in education. In the future, research will be conducted on the development, supplementation, and evaluation methods of educational models using ChatGPT.

Analysis of Chemistry Teaching-Learning Programs for the Gifted in Science Used in Middle School Gifted Classes (중학교 영재학급에서 사용 중인 화학영역의 과학영재 교수-학습 프로그램의 분석)

  • Cho, Yun-Hyang;Kim, Dong-Jin;Hwang, Hyun-Sook;Park, Se-Yeol;Yang, Kyoung-Eun;Park, Kuk-Tae
    • Journal of Gifted/Talented Education
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    • v.21 no.2
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    • pp.485-510
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    • 2011
  • This study aimed to analyze the appropriateness of chemistry teaching-learning programs for the gifted in science in middle school gifted classes and to propose improvements. For this study, 5 chemistry teaching-learning 4-6 hour programs developed for science gifted classes by Korea Education Development Institute (KEDI) and 3 chemistry teaching-learning programs developed for science gifted classes by three middle schools in K province were selected. A standard model for gifted education programs was used as tool for analyzing the program targets, program contents, teaching-learning methods, and assessment items. The results showed that all chemistry teaching-learning programs for the gifted in science presented well attainable objectives in the program targets. However, most program targets did not offer differentiated objectives from the general education. Program contents of KEDI stresses intensified education, and also presented a high ratio of sub-elements of creativity, which can enhance gifted creativity. On the other hand, program contents developed by three middle schools focused on acceleration in advancement, and presented low ratio of creativity sub-elements, which could be insufficient in enhancing gifted creativity. Differentiated and personalized, integrated science and interscience, updated research contents were hardly found in programs developed by KEDI and three middle schools. However, teaching-learning methods were composed to fit the learning objectives in the teaching process and the procedures, and were made to self-directed learning. There were no assessment for the feedback after class. Therefore, teaching-learning programs for the gifted in science should be developed further in order to fulfill the objectives of gifted education and gifted characteristics. Also, it is necessary to construct infrastructure to carry out the developed teaching-learning programs.

Differences in self-efficacy between block and textual language in programming education using online judge (자동평가시스템을 활용한 프로그래밍 교육에서 블록형 언어와 텍스트형 언어 간 자기효능감의 차이)

  • Chang, Won-Young;Kim, Seong-Sik
    • The Journal of Korean Association of Computer Education
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    • v.23 no.4
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    • pp.23-33
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    • 2020
  • Online judge provides compilation, execution, and immediate feedback on the source submitted by the learner, and ensures the accuracy and reliability of the evaluation, but it's difficult to select the language according to the level of the learner because most of them provide only textual language. In this study, a block language for online judge was developed and applied to high school classes, and the difference in self-efficacy between the block language and the textual language group was confirmed. It was found that Block language group have more ability expectation to overcome disgust experience than textual language group and Textual language group have significant decrease in ability expectation to start activity and to continue activity. It implies that Block language has an effect on self-efficacy for afterward programming activities, and methods of teaching, learning and evaluation should be devised in the case of textual language so that student's self-efficacy does not deteriorate at the initial and ongoing stage of activity. The results of this study are meaningful in that it provide various implications of methods for enhancing self-efficacy in high school class of programming.

Towards a Pedestrian Emotion Model for Navigation Support (내비게이션 지원을 목적으로 한 보행자 감성모델의 구축)

  • Kim, Don-Han
    • Science of Emotion and Sensibility
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    • v.13 no.1
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    • pp.197-206
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    • 2010
  • For an emotion retrieval system implementation to support pedestrian navigation, coordinating the pedestrian emotion model with the system user's emotion is considered a key component. This study proposes a new method for capturing the user's model that corresponds to the pedestrian emotion model and examines the validity of the method. In the first phase, a database comprising a set of interior images that represent hypothetical destinations was developed. In the second phase, 10 subjects were recruited and asked to evaluate on navigation and satisfaction toward each interior image in five rounds of navigation experiments. In the last phase, the subjects' feedback data was used for of the pedestrian emotion model, which is called ‘learning' in this study. After evaluations by the subjects, the learning effect was analyzed by the following aspects: recall ratio, precision ratio, retrieval ranking, and satisfaction. Findings of the analysis verify that all four aspects significantly were improved after the learning. This study demonstrates the effectiveness of the learning algorithm for the proposed pedestrian emotion model. Furthermore, this study demonstrates the potential of such pedestrian emotion model to be well applicable in the development of various mobile contents service systems dealing with visual images such as commercial interiors in the future.

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Development and Application of Web-Based Report System for the efficiency of Social Studies Performance Evaluation (사회과 수행평가 효율화를 위한 웹 기반 보고서 시스템 개발 및 적용)

  • Yang, Jeong-Soon;Goh, Byung-Oh
    • Journal of The Korean Association of Information Education
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    • v.12 no.1
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    • pp.33-40
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    • 2008
  • In social studies the ability of a student to investigate after deciding the subject and individual planning to search for society and to put investigation reports in order has been taken as highly important. The social studies performance evaluation methods used most frequently in education is also one of the investigation report method. However, when most students get the task "Write the report", they might write the report without any distinct object or organized structure. The evaluation result given by the teacher at the end of term is thus one sided. The recent performance evaluation is to keep the existing evaluation and let only the result have importance, not the essential meaning. So this paper is to build and materialize a web-based performance evaluation system, to be able to evaluate a course of classes. This paper's purposes was to write the reports in setting the standard form that the students research and collect the various data as based in the system and to improve the quality of evaluation and to inspire the study motivation as acting the mutuality action among the students and between them and teachers as giving a feedback at once after evaluating among colleagues by suggested evaluation views.

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