• Title/Summary/Keyword: Curriculum Mining

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Curriculum Mining Analysis Using Clustering-Based Process Mining (군집화 기반 프로세스 마이닝을 이용한 커리큘럼 마이닝 분석)

  • Joo, Woo-Min;Choi, Jin Young
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.45-55
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    • 2015
  • In this paper, we consider curriculum mining as an application of process mining in the domain of education. The basic objective of the curriculum mining is to construct a registration pattern model by using logs of registration data. However, subject registration patterns of students are very unstructured and complicated, called a spaghetti model, because it has a lot of different cases and high diversity of behaviors. In general, it is typically difficult to develop and analyze registration patterns. In the literature, there was an effort to handle this issue by using clustering based on the features of students and behaviors. However, it is not easy to obtain them in general since they are private and qualitative. Therefore, in this paper, we propose a new framework of curriculum mining applying K-means clustering based on subject attributes to solve the problems caused by unstructured process model obtained. Specifically, we divide subject's attribute data into two parts : categorical and numerical data. Categorical attribute has subject name, class classification, and research field, while numerical attribute has ABEEK goal and semester information. In case of categorical attribute, we suggest a method to quantify them by using binarization. The number of clusters used for K-means clustering, we applied Elbow method using R-squared value representing the variance ratio that can be explained by the number of clusters. The performance of the suggested method was verified by using a log of student registration data from an 'A university' in terms of the simplicity and fitness, which are the typical performance measure of obtained process model in process mining.

Analysis of Home Economics Curriculum Using Text Mining Techniques (텍스트 마이닝 기법을 활용한 중학교 가정과 교육과정 분석)

  • Lee, Gi-Sen;Lim, So-Jin;Choi, Yoo-ri;Kim, Eun-Jong;Lee, So-Young;Park, Mi-Jeong
    • Journal of Korean Home Economics Education Association
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    • v.30 no.3
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    • pp.111-127
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    • 2018
  • The purpose of this study was to analysis the home economics education curriculum from the first national curriculum to the 2015 revised curriculum using text mining techniques used in big data analysis. The subjects of the analysis were 10 curriculum texts from the first national curriculum to the 2015 revised curriculum via the National Curriculum Information Center. The major findings of this study were as follows; First, the number of data from the 4th curriculum to the 2015 revised curriculum gradually increased. Second, as a result of extracting core concept of the curriculum, there were core concept words that were changed and maintained according to the curriculum. 'Life' and 'home' were core concepts that persisted regardless of changes in the curriculum, after the 2007 revised curriculum, 'problem', 'ability', 'solution' and 'practice' were emphasized. Third, through core concept network analysis for each curriculum, the relationship between core concepts is represented by nodes and lines in each home economics curriculum. As a result, it was confirmed that the core concepts emphasized by the times are strongly connected with 'life' and 'home'. Based on these results, this study is meaningful in that it provides basic data to form the identity and the existing direction of home economics education.

What Practical Knowledge Do Teachers Share on Blogs? An Analysis Using Text-mining

  • LEE, Dongkuk;KWON, Hyuksoo
    • Educational Technology International
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    • v.23 no.1
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    • pp.97-127
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    • 2022
  • With the recent advancement of technology, there has been an increase in professional development activities, including teachers using blogs to share practical knowledge and reflect on teaching and learning. This study was conducted to identify the contents of practical knowledge shared through the K-12 teachers' blogs. To achieve the research objective, 70,571 blog posts were collected from 329 blogs of K-12 teachers in Korean and analyzed using text mining techniques. The results of the study are as follows. First, practical knowledge sharing activities using teacher blogs have increased. Teachers posted a lot of blogs during the semester. Second, primary school teachers share various curriculum activities, reflections on project classes, class management, opinions related to education, and personal. Third, secondary school teachers share summaries and reviews of curriculum, materials related to college entrance exams, various instructional materials, opinions related to education, and personal experiences on their blogs. This study suggested that blogs are widely used as a venue for sharing practical knowledge of teachers, and that blogs can be a useful way to develop professionalism.

Visualization of University Curriculum for Multidisciplinary Learning: A Case Study of Yonsei University, South Korea

  • Geonsik Yu;Sunju Park
    • Journal of Information Science Theory and Practice
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    • v.12 no.1
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    • pp.77-86
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    • 2024
  • As the significance of knowledge convergence continues to grow, universities are making efforts to develop methods that promote multidisciplinary learning. To address this educational challenge, our paper applies network theory and text mining techniques to analyze university curricula and introduces a graphical syllabus rendering method. Visualizing the course curriculum provides a macro and structured perspective for individuals seeking alternative educational pathways within the existing system. By visualizing the relationships among courses, students can explore different combinations of courses with comprehensive search support. To illustrate our approach, we conduct a detailed demonstration using the syllabus database of Yonsei University. Through the application of our methods, we create visual course networks that reveal the underlying structure of the university curriculum. Our results yield insights into the interconnectedness of courses across various academic majors at Yonsei University. We present both macro visualizations, covering 18 academic majors, and visualizations for a few selected majors. Our analysis using Yonsei University's database not only showcases the value of our methodology but also serves as a practical example of how our approach can facilitate multidisciplinary learning.

Designing Cost Effective Open Source System for Bigdata Analysis (빅데이터 분석을 위한 비용효과적 오픈 소스 시스템 설계)

  • Lee, Jong-Hwa;Lee, Hyun-Kyu
    • Knowledge Management Research
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    • v.19 no.1
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    • pp.119-132
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    • 2018
  • Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

Current Status of Educational Big Data Research (교육 빅데이터 관련 연구 동향)

  • Lee, Eun-young;Park, Do-oung;Choi, In-ong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.175-176
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    • 2014
  • 본고에서는 교육 빅데이터의 개념, 가치, 처리 기술 및 분석 방법 등을 탐색하였다. '온라인과 오프라인 교수 학습 활동의 투입, 과정, 산출을 통해 생산되는 국가, 지역, 학교, 교사, 학생 수준의 자료'로 정의할 수 있는 교육 빅데이터는 Hadoop으로 대표되는 분산 컴퓨팅 기술을 통해 효율적으로 처리할 수 있다. 대규모 교육 자료에서 의미있고 유용한 결과를 도출하기 위해 주로 사용되는 분석 방법에는 교육 데이터 마이닝, 학습 분석학과 시각 자료 분석학이 있다. 교육 데이터 마이닝은 학생과 교사, 학교의 다양한 수준에서 자료를 폭넓게 분석하는 측면이 강한 반면에 학습 분석학은 학생 수준에서의 자료 분석에 더 초점을 맞추는 경향이 있으며, 시각 자료 분석학은 자료에 대한 분석 자체보다는 분석 결과를 효과적으로 표현하는 방식에 초점이 주어져 있다.

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Trends in Korean Medical education research from 2003 to 2022 (한의학교육 연구동향 분석 : 2003-2022년 국내 연구)

  • Dowon Gwak;Minki Kim;Jisoo Kwon;Changshik YIN
    • The Journal of Korean Medical History
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    • v.36 no.1
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    • pp.89-98
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    • 2023
  • This study aimed to review trends in Korean medical education research from 2003 to 2022. A total of 60 studies were identified, with an increasing trend in publication numbers. The research topics covered various aspects of Korean medicine education, including curriculum, basic science, clinical science, teaching methods, history, and international comparisons. Text mining analysis revealed "Curriculum", "Satisfaction" and "Clinical" to be frequent terms. The study suggests that Korean medicine education research should continue to develop, given its broad scope and growing interest.

Exploring the Direction of Home Economics Education in Preparation for the Generalization of a One-Person Household (1인 가구 시대의 가정과교육 방향 탐색)

  • Park, Mi Jeong
    • Human Ecology Research
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    • v.57 no.1
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    • pp.73-89
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    • 2019
  • This study explores the social phenomenon of the universalization of one-person households through a literature analysis and text mining in order to explore a future direction for Home Economics Education(HEE) development in the one-person household era. From 2010 to 2018, texts from newspaper articles and book content of one-person households were analyzed through R program. The results of the study are as follows. In order to develop students' competency to live a happy life in the one-person household era, it is necessary to: (1) expand the preemptive and collaborative research of HEE, (2) develop and operate a curriculum to raise the living competency to live alone, (3) expand opportunities for secondary school students as well as off-campus youth, middle-aged, and elderly students, and (4) develop various HEE's elective curriculum focusing on the ability to live as one-person household. Also, (5) in order to overcome the psychological and social poverty and isolation of one-person households, HEE should strengthen the learner's ability to form relationships through self-esteem, care of others, community life, communication and conflict resolution education. In conclusion, HEE's independent living competency, relationship formation competency, and practical problem solving competency are all necessary competencies to live in one-person households. In this study, it is meaningful to suggest a future direction for HEE and to use new research methods such as word cloud techniques in the absence of HEE's previous research in relation to the increase of one-person households.

A Text Mining Analysis on Students' Perceptions about Capstone Design: Case of Industrial & Management Engineering (텍스트 마이닝을 활용한 캡스톤 디자인에 관한 학생 인식 탐색: 산업경영공학 사례)

  • Wi, Gwang-Ho;Kim, Yun-jin;Kim, Moon-Soo
    • Journal of Engineering Education Research
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    • v.25 no.5
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    • pp.85-93
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    • 2022
  • Capstone Design, a project-based learning technique, is the most important curriculum that clarifying major knowledge and cultivating the ability to apply through the process of solving problems in the industrial field centered on the student project team. Accordingly, various and extensive studies are being conducted for the successful implementation of capstone design courses. Unlike previous studies, this study aimed to quantitatively analyze the opinions that recorded the experiences and feelings of students who performed capstone design, and used text mining methodologies such as frequency analysis, correlation analysis, topic modeling, and sentiment analysis. As a result of examining the overall opinions of the latter period through frequency analysis and correlation analysis, there was a difference between the languages used by the students in the opinions according to gender and project results. Through topic modeling analysis, 'topic selection' and 'the relationship between team members' showed an increase in occupancy or high occupancy, and topics such as 'presentation', 'leadership', and 'feeling what they felt' showed a tendency to decreasing occupancy. Lastly, sentiment analysis has found that female students showed more neutral emotions than male students, and the passed group showed more negative emotions than the non-passed group and less neutral emotions. Based on these findings, students' practical recognition of the curriculum was considered and implications for the improvement of capstone design were presented.

A Study on Teachers’Recognition and Teaching methods in Housing of Home Economics Text Book of Middle School (중학교 가정 교과서의 주생활 단원에 대한 교사의 인식과 교육에 관한 연구)

  • 이은순;조재순
    • Journal of Korean Home Economics Education Association
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    • v.5 no.1
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    • pp.17-30
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    • 1993
  • The purpose of this study is to investigate teachers’recognition and teaching methods in Housing of Home Economics Text Book of Middle School and to provide the basic data for the improvement of its curriculum. Home Economics teachers of the 433 schools responded in nationwide to the mailed questionaire. The selected data were manipulated by percent and verified in the way of t-test. The findings of this study are as follows: 1. Most Home Economics teachers have ever taken teacher training but there are few who have never taken any teacher training in Housing. And even those who have ever taken the training in Housing are not satisfied with the training curriculum contents. Therefore, the result of this study shows that Housing should be included in the teacher training curriculum contents, and that the teacher training curriculum contents, and that the teacher training curriculum contents should be helpful for the actual teaching and learning. 2. It is necessary to allot more houres for Housing, in that most teachers actually allot more time for Housing than presented in teachers’guide, and to develop more teaching aids for the effective instruction of Housing. In terms of the suitability of Housing to the students’learning development levels, the degree of suitability is in the order of the significance of housing, housing sanitation, the types of housing, the space for housing, the ground plan of housing, the arrangement of furniture. The contents about the interior decoration and gardening of the existing text book have turned out not to be appropriate.. In terms of the relation between the place of residence and the curriculum, Housing is suitable for the city, but not for the farming, mining, and sea village, Teachers suggest that the content of the curriculum about Housing should be varied according to the location of the school. 3. The number of the teaching aids for Housing is in the order of picture, charts and pamphlet but not sufficient.

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