• Title/Summary/Keyword: 정보교과 교육

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A Study of E-Book Production Lessons Using SNS Type on the Academic Achievement and Learning Attitudes of Elementary School Students (SNS형식의 전자책 제작 수업을 통한 초등학생의 학업 성취도 및 학습 태도 연구)

  • Kim, Daehui;Park, Phanwoo
    • Journal of The Korean Association of Information Education
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    • v.20 no.1
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    • pp.29-38
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    • 2016
  • This study selected and utilized the 'Naver post' as an e-book production tool to be used for learning. The production of such SNS format e-books aimed at founding out its effect on learning attitude and academic achievement by stimulating interest and confidence in the learning of the students. To accomplish such an aim, the study selected 50 students from two classes in the fourth grade of a public elementary school. One class of 25 students went through a social studies lesson that applied SNS type e-book production activities, and the other class of 25 students underwent a regular social studies lesson as the comparative group. The major results of the study's analysis is SNS type e-book production did not significantly improve academic achievement in social studies, but SNS type e-book production significantly improved the learning attitude during social studies.

Requirements Analysis for an Adaptive Courseware (적응형 코스웨어를 위한 요구 분석)

  • Lee, Jae-Mu
    • Journal of The Korean Association of Information Education
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    • v.16 no.2
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    • pp.173-180
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    • 2012
  • This study looks for the requirements for adaptive courseware and provides background for developing effective adaptive courseware. Most adaptive courseware does not adequately reflect the requirements of learners. If it properly reflected learners' requirements well, it could be used more effectively. therefore, this study analyzes and suggests the requirements of an adaptive courseware for pre-service teachers who are majoring in computer education. The study methods were factor analysis and frequency analysis through survey. The results show that the important elements of an adaptive courseware are a learning style designed according to individual differences as well as an instruction model appropriate to the subject domain. The study examined adaption by learner level, by learning objective, by learning style, by method of learning content, and by learning history in that order. Therefore while the most of adaptive courseware support learning style; we propose that the adaptive courseware will support learning objects and instruction model as well.

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Analysis of error data generated by prospective teachers in programming learning (예비교사들이 프로그래밍 학습 시 발생시키는 오류 데이터 분석)

  • Moon, Wae-shik
    • Journal of The Korean Association of Information Education
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    • v.22 no.2
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    • pp.205-212
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    • 2018
  • As a way to improve the software education ability of the pre - service teachers, we conducted programming learning using two types of programming tools (Python and Scratch) at the regular course time. In programming learning, various types of errors, which are factors that continuously hinder interest, achievement and creativity, were collected and analyzed by type. By using the analyzed data, it is possible to improve the ability of pre-service teachers to cope with the errors that can occur in the software education to be taught in the elementary school, and to improve the learning effect. In this study, logic error (37.63%) was the most frequent type that caused the most errors in programming in both conventional language that input text and language that assembles block. In addition, the detailed errors that show a lot of differences in the two languages are the errors of Python (14.3%) and scratch (3.5%) due to insufficient use of grammar and other errors.

An implementation of performance assessment system based on academic achievement analysis for promotion of self-directed learning ability (자기주도적 학습능력 촉진을 위한 학업성취도 분석 기반의 수행평가 시스템 구현)

  • Kim, Hyun-Jeong;Choi, Jin-Seek
    • Journal of The Korean Association of Information Education
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    • v.13 no.3
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    • pp.313-323
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    • 2009
  • The objective of this paper is an implementation of analysing and predicting functions to promote self-directed learning for student's performance assessment system in programming subjects. By adapting Rubric model, the proposed functions inform a student of the assessment criteria and level to be carried out with respects to two-way specifications such as rational ability, problem solving ability and creativity. The proposed system also provides a graphical results of each ability instead of assessment result, for better understanding and analyzing himself/herself based on to the performance assessment and the result. Moreover, the proposed system contains a method to predict future achievement result with moving average technique. Therefore, an academic achievement can be precisely determined by himself/herself to estimate self-directed learning. The teacher can provide different level of educational resources such as supplement learning, problem explains and private instructor etc., in order to maximize efficiency of education.

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Data Analytics in Education : Current and Future Directions (빅데이터를 활용한 맞춤형 교육 서비스 활성화 방안연구)

  • Kwon, Young Ok
    • Journal of Intelligence and Information Systems
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    • v.19 no.2
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    • pp.87-99
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    • 2013
  • Massive increases in data available to an organization are creating a new opportunity for competitive advantage. In this era of big data, developing analytics capabilities, therefore, becomes critical to take advantage of internal and external data and gain insights for data-driven decision making. However, the use of data in education is in its infancy, in comparison with business and government, and the potential for data analytics to impact education services is growing. In this paper, I survey how universities are currently using education data to improve students' performance and administrative efficiency, and propose new ways of extending the current use. In addition, with the so-called data scientist shortage, universities should be able to train professionals with data analytics skills. This paper discusses which skills are valuable to data scientists and introduces various training and certification programs offered by universities and industry. I finally conclude the paper by exploring new curriculums where students, by themselves, can learn how to find and use relevant data even in any courses.

Factors Influencing the Academic Achievement of Student Workers (학습근로자의 학업성취도에 미치는 영향)

  • Jae Kyu Myung
    • Journal of Practical Engineering Education
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    • v.16 no.2
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    • pp.227-239
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    • 2024
  • This study aims to analyze the impact of vocational training received by learning workers through the degree-linked work-study program on their learning outcomes. Specifically, we explore the causal relationship between various factors considered during university degree program admission and selection, and the average GPA (Grade Point Average) after admission. To achieve this, we conducted regression analysis and variance analysis using historical admission data and GPA records of 976 students from three undergraduate programs at a domestic K university that implements the degree-linked work-study model. Additionally, we included company information from publicly available databases that could potentially influence the academic performance of learning workers. Our analysis revealed significant causal relationships across various factors, including the classification of the high school attended, gender, family background, subject-specific grades in high school, duration of employment at the company, and age at the time of admission. Based on these findings, we anticipate that universities operating similar degree programs can enhance their selection procedures for learning workers. Furthermore, the results of this study can serve as foundational data for future policy recommendations related to degree-linked work-study programs.

An Exploration of the Direction of Development of the Integrated Curriculum for Gifted: The Applicability of the Drake Model (영재를 위한 통합교육과정 개발의 방향: Drake 모형의 적용 가능성 탐색)

  • Lee, Kyungjin;Roh, IlSoon
    • Journal of Gifted/Talented Education
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    • v.24 no.2
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    • pp.217-241
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    • 2014
  • This study aimed to explore the direction and possibility of development of the integrated curriculum for the Gifted students in the discipline-centered curriculum perspective. To this end, the study analysed the Ontario interdisciplinary curriculum based on a Drake's Integration Model which is typical model of the discipline-centered curriculum and explored the applicability to Science Gifted Academy in Korea. Through showing the possibility of enrichment on the selected majors, integration with other disciplines and solving the future problems by the integrated curriculum centered on 'Big Idea', the Ontario interdisciplinary curriculum gave suggestions of curriculum integration within or through individual research and integrated curriculum for the Gifted. The application of the Ontario's "Introduction to Information studies" to "Information Science" in Science Gifted Academy in Korea could be obtained the conclusion that the Drake's Integration model is applied to the Gifted by the individualization of the navigation network, KDB(Knowledge-Do-Be) umbrella, and the final interdisciplinary task. From this result, we could suggest that the development of integrated curriculum for the Gifted should be considered the clarity of learning objectives for the Gifted, the plan of evaluation to demonstrate big understanding and big idea, the integration with other disciplines or real-world problem, as well as the need of teachers council for the integrated curriculum. This study is expected to be contribute to development of the integrated curriculum model for the gifted based on the their characteristics and to be utilized in Science Gifted Academy.

A Study on Elementary Education Examples for Data Science using Entry (엔트리를 활용한 초등 데이터 과학 교육 사례 연구)

  • Hur, Kyeong
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.473-481
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    • 2020
  • Data science starts with small data analysis and includes machine learning and deep learning for big data analysis. Data science is a core area of artificial intelligence technology and should be systematically reflected in the school curriculum. For data science education, The Entry also provides a data analysis tool for elementary education. In a big data analysis, data samples are extracted and analysis results are interpreted through statistical guesses and judgments. In this paper, the big data analysis area that requires statistical knowledge is excluded from the elementary area, and data science education examples focusing on the elementary area are proposed. To this end, the general data science education stage was explained first, and the elementary data science education stage was newly proposed. After that, an example of comparing values of data variables and an example of analyzing correlations between data variables were proposed with public small data provided by Entry, according to the elementary data science education stage. By using these Entry data-analysis examples proposed in this paper, it is possible to provide data science convergence education in elementary school, with given data generated from various subjects. In addition, data science educational materials combined with text, audio and video recognition AI tools can be developed by using the Entry.

A Study on Improving Perception of Subject-Special Librarian and Subject-Special Services: Focusing on Survey Targeting Students Who Take 'Medical Terms and MeSH' and 'Health & Medical Information Sources' (주제전문사서와 주제전문서비스에 대한 인식제고를 위한 연구 - '의학용어와 MeSH', '보건의학정보원' 수강생 대상 설문조사를 중심으로 -)

  • Oh, Eui-Kyung
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.1
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    • pp.437-456
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    • 2016
  • This study, based on the need for department of LIS education program that targets training of subject-special librarian, focuses on proving that such education can improve perception of subject-special librarian and strengthen career decision-making. This study is composed of two parts. First, this study investigates case studies about subject-special librarian cultivation. Second, this study includes a survey about subject-special librarian, improving understanding about subject-special librarian, and improving career decision-making which was carried out targeting students who take 'Medical Terms and MeSH', and 'Health & Medical Information Sources' courses. Results are as follows. First, most of the respondents felt the need for medical librarian and medical information services (88.7%), understood the role of medical librarian (92.5%), got to know more about the types and functions of medical information services (100%), and came to be more aware of the self-esteem a medical librarian feels as a professional. Second, relatively, the percentage of respondents who demonstrated the willingness to work at a medical library (45.3%) or work in the field of medical information services (26.4%) was noticeably low. Third, there were no statistical difference in whether the students took related courses or not, number of courses they took and difference in their school year, and in regard of the level of understanding of medical librarian and medical information services, those who took courses demonstrated higher understanding than did those who did not take those courses. Also, those who took the courses showed stronger willingness to work as a medical librarian. Fourthly, the curriculum carried out by the department of library and information service was effective in understanding medical librarian and medical information services, but makes students more cautious about deciding whether or not to start their career at a medical library. Lastly, it was recommended that there is a need to have the curriculum updated in order to help students overcome the difficulty and unfamiliarity they feel about medical subject.

Case Analysis of Teaching-Learning Activity using Moodle (Moodle을 활용한 교수-학습 활동 적용 사례 분석)

  • Choi, Byoung-Woo;Hong, Myung-Hui
    • 한국정보교육학회:학술대회논문집
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    • 2010.08a
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    • pp.59-66
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    • 2010
  • Opensource LMS Moodle consists of module of various forms and can mount learning materials of various forms. We can mount the number of contents on the Web in Moodle. In doing so, We can configure effective courses for teaching-learning activity. Moodle can reflect course design of a wide variety of teacher using a variety of learning resources and learning activities. The results of operating during 1 semester, all faculty or students were satisfied with course using Moodle. Class in the classroom is interactive systems of teacher and students, but class has one-way system in reality. E-learning can be used to complement this phenomenon. Moodle gives a free and powerful features in designing e-learning courses. In this reserch we made up course applying typical teaching-learning of design and model the process of Glaser. We analyed teaching - learning activity case of Understanding and Application of Information science course of 2010year 1 semester in Seoul national University of Education using LMS Moodle and pursued future expansion plan of Moodle.

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