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Analysis of the impact of mathematics education research using explainable AI (설명가능한 인공지능을 활용한 수학교육 연구의 영향력 분석)

  • Oh, Se Jun
    • The Mathematical Education
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    • v.62 no.3
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    • pp.435-455
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    • 2023
  • This study primarily focused on the development of an Explainable Artificial Intelligence (XAI) model to discern and analyze papers with significant impact in the field of mathematics education. To achieve this, meta-information from 29 domestic and international mathematics education journals was utilized to construct a comprehensive academic research network in mathematics education. This academic network was built by integrating five sub-networks: 'paper and its citation network', 'paper and author network', 'paper and journal network', 'co-authorship network', and 'author and affiliation network'. The Random Forest machine learning model was employed to evaluate the impact of individual papers within the mathematics education research network. The SHAP, an XAI model, was used to analyze the reasons behind the AI's assessment of impactful papers. Key features identified for determining impactful papers in the field of mathematics education through the XAI included 'paper network PageRank', 'changes in citations per paper', 'total citations', 'changes in the author's h-index', and 'citations per paper of the journal'. It became evident that papers, authors, and journals play significant roles when evaluating individual papers. When analyzing and comparing domestic and international mathematics education research, variations in these discernment patterns were observed. Notably, the significance of 'co-authorship network PageRank' was emphasized in domestic mathematics education research. The XAI model proposed in this study serves as a tool for determining the impact of papers using AI, providing researchers with strategic direction when writing papers. For instance, expanding the paper network, presenting at academic conferences, and activating the author network through co-authorship were identified as major elements enhancing the impact of a paper. Based on these findings, researchers can have a clear understanding of how their work is perceived and evaluated in academia and identify the key factors influencing these evaluations. This study offers a novel approach to evaluating the impact of mathematics education papers using an explainable AI model, traditionally a process that consumed significant time and resources. This approach not only presents a new paradigm that can be applied to evaluations in various academic fields beyond mathematics education but also is expected to substantially enhance the efficiency and effectiveness of research activities.

The Science-Related Attitudes from Adults' Experiences during Science Cultural Activities: Focusing on the Case of Science Fiction Discussions (성인들의 과학문화 활동 경험에서 나타난 과학 관련 태도 -과학소설 독서토론 활동 사례를 중심으로-)

  • Eunji Kang;Chaeyeon Shin;Jinwoong Song
    • Journal of The Korean Association For Science Education
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    • v.43 no.2
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    • pp.139-150
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    • 2023
  • This study started with the awareness of the need to explore various aspects of science education and was conducted according to the necessity of practical research on science cultural activities targeting adults. Accordingly, adults' book discussions of science fiction were selected as research cases, and science-related attitudes in science cultural activities were explored. There are four participants in the study, all of whom have engaged in a book club and have not majored or are working in science disciplines. Three science fictions were selected after establishing specific standards for the selection discussed with participants. For four months, a total of three unstructured book discussions of science fiction, post-interviews for each discussion, and in-depth individual interviews after the end of the entire activity were conducted. Various data such as recorded and transcribed reading discussion discourse, post- and in-depth individual interviews, researchers' observation records, and participants' book journals were collected and analyzed using a continuous comparison method. As a result of the study, as scientific thinking is illustrated in SF, the participants also demonstrated scientific attitudes during their discussions. In addition, the textual feature(storytelling) of science fiction was found to lessen cognitive overload and the burden of understanding science by providing scientific knowledge with context. Finally they demonstrated a shift in attitude toward science, valuing science cultural activities in themselves, rather than simply viewing science as a subject of understanding and learning. The conclusions and meanings of this study based on the above results are presented to enhance a positive attitude toward science for adults even after school education.

Differences in Sleep Patterns are Related to Behavior, Emotional Problems, Attention and Academic Performance in Elementary School Students of a South Korean Metropolitan City (일 도시의 초등학교 학생의 수면습관과 행동, 정서, 주의력, 학습과의 관계)

  • Tak, Hee-Jong;Lee, Ji-Ho;Lee, Chang-Myung;Chung, Seok-Hoon;Lee, Jae-Won;Sim, Chang-Sun;Yoon, Jae-Goog;Sung, Joo-Hyeon;Bhang, Soo-Young
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.22 no.3
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    • pp.182-191
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    • 2011
  • Objectives: The aim of this study was to investigate the sleep patterns of South Korean elementary school children and whether the differences in sleep patterns were related to behavior, emotional problems, attention and academic performance. Method: This study included a community sample of 268 boys and girls from fourth-, fifth- and sixth-grade classes in a South Korean metropolitan city from November to December 2010. The primary caregivers completed a questionnaire that included information on demographic characteristics, as well as the Child's Sleep Habit Questionnaire (CSHQ), the Korean version of Child Behavior Checklist (K-CBCL), the Korean version of the Learning Disability Evaluation Scale (K-LDES), the Korean version of ADHD Rating Scale (K-ARS) and the Disruptive Behavior Disorder Scale (DBDS). We conducted analyses on the CSHQ individual items, between the subscales, on the total scores and on the K-CBCL, the K-LEDS, the K-ARS and the DBDS. Results: Based on the findings from the CHSQ, the subjects had significantly higher scores for bedtime resistance ($9.18{\pm}2.17$), delayed sleep onset ($1.32{\pm}0.62$), the sleep duration ($4.19{\pm}1.52$) and daytime sleepiness ($14.10{\pm}3.55$) than the scores from the previous reports on children from western countries. The total CHSQ score showed positive correlations to all subscales of the K-CBCL : withdrawn (r=0.24, p<.005), somatic complaint (r=0.24, p<.005) and anxious/depressive (r=0.38, p<.005). Bedtime resistance was associated with oppositional defiant disorder (r=0.15, p<.05) and a positive correlation was demonstrated between sleep anxiety and the oppositional defiant disorder score (r=0.13, p<.05), night waking and the conduct disorder score (r=0.16, p<.05). Delayed sleep onset was related with low performance on the K-LDES with respect to thinking (r=-0.17, p<.05) and mathematical calculation (r=-0.17, p<.05). Conclusion: The results of this study reconfirm Korean children's problematic sleep patterns. Taken together the results provide that the reduced sleep duration and disruption of sleep pattern can have a significant impact on emotion, behavior, performance of learning in children. Further studies concerning more diverse psychosocial factors affecting sleep pattern will be helpful to understanding of the sleep health in Korean children.

Research Trends on Human Development and Family Studies in Journal of Korean Home Economic Education; A Review and Prospect of Research during the past 20 years (한국가정과교육학회지의 "인간발달.가족" 분야에 대한 20년 연구 동향분석; 성과와 과제)

  • Cho, Byung-Eun;Lee, Jong-Hui;Lee, Hyun-Jung;Joo, Hyun-Jung
    • Journal of Korean Home Economics Education Association
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    • v.21 no.3
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    • pp.143-161
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    • 2009
  • The purpose of the study is to review the research trends of human development and family studies which published in the Journal of the Korean Home Economics Education for last 20 years. A total of 93 studies were analyzed in the area of nature and philosophy of Home Economic Education, curriculum, teaching-learning method and human development and family studies. Research topics mainly examined in the area of curriculum development, application of teaching methods, psychological and school adjustment of the adolescent and family relations. Reviews in methodological issues result in the heavy usage of survey method with self-administered questionnaires, convenient sampling and descriptive studies. Although research on human development and family studies in Home Economic Education has increased in quantity, there are greater needs to develop studios with representative subjects, various research methods, teaching - learning methods, and teaching materials to capture the rich complexity of individual development and family life. Limitations on previous studios and implications for future studies were also discussed.

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A study on health education content analysis in middle school curriculum (중학교 교과과정에 따른 보건교육 내용 분석 연구)

  • You, Jai Bok
    • Journal of the Korean Society of School Health
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    • v.3 no.1
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    • pp.59-72
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    • 1990
  • The study reserches the related contents of the health education in the existing gymnastics and the domestics textbook, catches learning-Ulaching contents by the health-control function and compares the contents with the health-education curriculum of the Texas State in America. This study is questioned and reserched the general features of the teachers who is change in the health education, their attitudes about the teaching of it, and the recognition degree about their health education. The results above is like the following. 1. Learning-teaching contents by the health-control function. The domestics and gymnastics which contains the health education contents, is not discripted continually and at the same time is short of the contents in the health-control function according to the students' individual domains. Also the recent serious problems, (that is, Smoking, Drinking and Medical poisoning, Emotion, and Psychic domains) were no mentioned. 1) In gymnastics textbook, the physical domains are mentioned 8, 9 in juinor, and senior class, the affective, psychic domains only senior class and the social domains only 1 grade except junior and senior class. Growth-development function is concentratedly stated only 1 grade in physical domains and there is no stated in. The social domains are referred a little in senior class. In cure-recovery functions, the physical domains is being taught in 2, and 3 grade, but not 1 grade. Specially, the social domains are being taught in all grade, but, the affective domains are not at all 2) In the subject of domestics, the physical domains of the daily life functions are taught in all the years, but the emotional, mental domains are taught a little in 1 and 2 grades. The growth-development functions are being taught about the nutrition-health, in the physical parts of all graries, and the emotional-mental, social domains are being taught some in 7 and 8 grade except 3 grade, he cure-recovery functions ere taught in only 1 grade, the contents of rehabilitative functions are not being taught like gymnastics. 2. The general characteristics of the health-education teachers and the health-education. In the calss field, the average age of gymnastics-teachers is from 35 to 40 years old, and it of domestics teachers is from 24 to 29 years old. 1) In the class-hours a week, the gymnastics teachers take lessons 3 hours (75.6%) and the domestics teachers 4 hours (65.6%). In "the health-lessons hours alloted"in a semister, 3 or 4 hours is 38.7% and no hours is 18.0% in gymnastics teachers. On the other hand, there is no hours to teach the health-education in domestics teachers. About the opinion: the health subject must be taught as a independent subject, 42.9% of the gymnastics teachers agreed and 45.3 % of the domestics teachers did. 2) The factors which have an influence upon the health-teachers #. In age, the class lesson hours of a week(r= .0014), the confident manner about the lessons(r= .0485) and the necessity of the lessons (r= .0316) are closely related one another. #. In sexes, the lesson hours a class(r= .0000), the alloted hours of health lesson a semister(r= .0000) the confident manner about the class(r= .0001). the quantity of lesson(r= .0001): and, the teacher's belief(r= .0264) are co-related one another. #. In subject in change. the class hours a week(r= .0000), the alloted hours of health-lesson a semister(r= .0000) the quantity of the lesson(r= .0114) are co-related each other. #. In majority, the class lesson hours a week(r= .0000) the alloted hours of health lesson a semister(r= .0000) the quantity of the lesson are co-related each other. The quantity of lesson and the confidence about the lesson (r= .3223) and the quantity of lesson and the interest of lesson (r= .2450) are co-related each other.

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Rediscovering the Interest of Science Education: Focus on the Meaning and Value of Interest (과학교육의 재미에 대한 재발견 -재미의 의미와 가치를 중심으로-)

  • Shin, Sein;Ha, Minsu;Lee, Jun-Ki
    • Journal of The Korean Association For Science Education
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    • v.38 no.5
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    • pp.705-720
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    • 2018
  • The purpose of this study is to shed light on the meaning and value of interest (in Korean 'Jae-mi') in science education through literature analysis. Literature analyses were conducted on literature related to interest in various fields such as Korean language, psychology, philosophy, and education. Specifically, this study discussed the meaning of interest, the characteristics of the context of experiencing interest, the educational value of interest in science education, and the direction of science education to realize the value of interest. First, it was found that interest is an experience of emotional activation that can be felt through interaction with a specific object, and it is an emotional experience caused by the complex combination of various psychological factors, which is oriented sense, relationship, self, and object. Second, to understand the context of experience of interest, we conducted a topic modeling analysis with 1173 research articles related to interest. As a result of the analysis, it was confirmed that the context of interest is closely related with playfulness. And we addressed that this kind of playfulness is also found in science. Third, the educational values of interest in science education were discussed. In science education, fun is not only an instrumental value to induce science learning behavior, it is also one of the universal experiences that learners feel lively in science teaching-learning, and driving force of individual students' emotional development related to science. The students' active attitude to feel interest lead to creative thinking and action. Finally, we argued that the interest that should be aimed in science education should be active interest and experienced at trial and error, not passive interest induced by external stimuli. And science education culture should be encouraged to respect those who enjoy science. In particular, this study discussed the importance of each student's unique interest experience based on the philosophy of philosopher Deleuze (1976).

A study on the improving and constructing the content for the Sijo database in the Period of Modern Enlightenment (계몽기·근대시조 DB의 개선 및 콘텐츠화 방안 연구)

  • Chang, Chung-Soo
    • Sijohaknonchong
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    • v.44
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    • pp.105-138
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    • 2016
  • Recently with the research function, "XML Digital collection of Sijo Texts in the Period of Modern Enlightenment" DB data is being provided through the Korean Research Memory (http://www.krm.or.kr) and the foundation for the constructing the contents of Sijo Texts in the Period of Modern Enlightenment has been laid. In this paper, by reviewing the characteristics and problems of Digital collection of Sijo Texts in the Period of Modern Enlightenment and searching for the improvement, I tried to find a way to make it into the content. This database has the primary meaning in the integrating and glancing at the vast amounts of Sijo in the Period of Modern Enlightenment to reaching 12,500 pieces. In addition, it is the first Sijo data base which is provide the variety of search features according to literature, name of poet, title of work, original text, per period, and etc. However, this database has the limits to verifying the overall aspects of the Sijo in the Period of Modern Enlightenment. The title and original text, which is written in the archaic word or Chinese character, could not be searched, because the standard type text of modern language is not formatted. And also the works and the individual Sijo works released after 1945 were missing in the database. It is inconvenient to extract the datum according to the poet, because poets are marked in the various ways such as one's real name, nom de plume and etc. To solve this kind of problems and improve the utilization of the database, I proposed the providing the standard type text of modern language, giving the index terms about content, providing the information on the work format and etc. Furthermore, if the Sijo database in the Period of Modern Enlightenment which is prepared the character of the Sijo Culture Information System could be built, it could be connected with the academic, educational contents. For the specific plan, I suggested as follow, - learning support materials for the Modern history and the national territory recognition on the Modern Age - source materials for studying indigenous animals and plants characters creating the commercial characters - applicability as the Sijo learning tool such as Sijo Game.

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Importance of Enjoyment Method in Classic Poetry Education and its Methodological Study (고전시가 교육에 있어 향유 방식의 중요성과 그 방법론적 탐색)

  • Park, Kyeong-Ju
    • Journal of Korean Classical Literature and Education
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    • no.38
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    • pp.5-35
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    • 2018
  • This paper discusses this seminar's theme, 'Classic Literature Enjoyment Methods and Education,' with a focus on the genre of classic poems. However it does not focus on any individual method by discussing a specific genre or enjoyment method but focuses on a fundamental discussion. The importance of a functional relationship between the classic poetry genre and its enjoyment method is raised avoiding a generalized discussion. There are things that researchers often forget about classic poems. They forget that most classic poems are not ordinary poems but songs that are to be sung, and thus they should, in principle, be expressed in Korean language. These two facts about classic poems, indicate that their enjoyment method should be given importance. Compared to modern poems, Chinese classic poems, folk songs, and other forms of verse, only classic poems have the aforementioned conditions unique to them. In addition, classic poems include several types of poems, Japga (literally, miscellaneous songs), and Siga (literally, poem-song) genres representing each era, so it is important to discuss the characteristics of such poems with respect to their times periods and genres. Even based on such characteristics, the enjoyment situation where works are created and sung in the genre of classic poems is very important, and thus the enjoyment method issue should be closely linked with the study of works and genres. This study examines how the topics of enjoyment methods for classic poems is reflected in the current middle education curriculum. To improve the current situation, it outlines the issues that arise when enjoyment methods for classic poems are applied to textbooks or classes, set as textbook unit goals or criteria for achievement, and presented as measures designed to plan the composition of works and learning activities. Future studies on literary educational methodologies are expected to further examine the enjoyment methods for poems in class discussed herein.

Preliminary Inspection Prediction Model to select the on-Site Inspected Foreign Food Facility using Multiple Correspondence Analysis (차원축소를 활용한 해외제조업체 대상 사전점검 예측 모형에 관한 연구)

  • Hae Jin Park;Jae Suk Choi;Sang Goo Cho
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.121-142
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    • 2023
  • As the number and weight of imported food are steadily increasing, safety management of imported food to prevent food safety accidents is becoming more important. The Ministry of Food and Drug Safety conducts on-site inspections of foreign food facilities before customs clearance as well as import inspection at the customs clearance stage. However, a data-based safety management plan for imported food is needed due to time, cost, and limited resources. In this study, we tried to increase the efficiency of the on-site inspection by preparing a machine learning prediction model that pre-selects the companies that are expected to fail before the on-site inspection. Basic information of 303,272 foreign food facilities and processing businesses collected in the Integrated Food Safety Information Network and 1,689 cases of on-site inspection information data collected from 2019 to April 2022 were collected. After preprocessing the data of foreign food facilities, only the data subject to on-site inspection were extracted using the foreign food facility_code. As a result, it consisted of a total of 1,689 data and 103 variables. For 103 variables, variables that were '0' were removed based on the Theil-U index, and after reducing by applying Multiple Correspondence Analysis, 49 characteristic variables were finally derived. We build eight different models and perform hyperparameter tuning through 5-fold cross validation. Then, the performance of the generated models are evaluated. The research purpose of selecting companies subject to on-site inspection is to maximize the recall, which is the probability of judging nonconforming companies as nonconforming. As a result of applying various algorithms of machine learning, the Random Forest model with the highest Recall_macro, AUROC, Average PR, F1-score, and Balanced Accuracy was evaluated as the best model. Finally, we apply Kernal SHAP (SHapley Additive exPlanations) to present the selection reason for nonconforming facilities of individual instances, and discuss applicability to the on-site inspection facility selection system. Based on the results of this study, it is expected that it will contribute to the efficient operation of limited resources such as manpower and budget by establishing an imported food management system through a data-based scientific risk management model.

GEase-K: Linear and Nonlinear Autoencoder-based Recommender System with Side Information (GEase-K: 부가 정보를 활용한 선형 및 비선형 오토인코더 기반의 추천시스템)

  • Taebeom Lee;Seung-hak Lee;Min-jeong Ma;Yoonho Cho
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.167-183
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    • 2023
  • In the recent field of recommendation systems, various studies have been conducted to model sparse data effectively. Among these, GLocal-K(Global and Local Kernels for Recommender Systems) is a research endeavor combining global and local kernels to provide personalized recommendations by considering global data patterns and individual user characteristics. However, due to its utilization of kernel tricks, GLocal-K exhibits diminished performance on highly sparse data and struggles to offer recommendations for new users or items due to the absence of side information. In this paper, to address these limitations of GLocal-K, we propose the GEase-K (Global and EASE kernels for Recommender Systems) model, incorporating the EASE(Embarrassingly Shallow Autoencoders for Sparse Data) model and leveraging side information. Initially, we substitute EASE for the local kernel in GLocal-K to enhance recommendation performance on highly sparse data. EASE, functioning as a simple linear operational structure, is an autoencoder that performs highly on extremely sparse data through regularization and learning item similarity. Additionally, we utilize side information to alleviate the cold-start problem. We enhance the understanding of user-item similarities by employing a conditional autoencoder structure during the training process to incorporate side information. In conclusion, GEase-K demonstrates resilience in highly sparse data and cold-start situations by combining linear and nonlinear structures and utilizing side information. Experimental results show that GEase-K outperforms GLocal-K based on the RMSE and MAE metrics on the highly sparse GoodReads and ModCloth datasets. Furthermore, in cold-start experiments divided into four groups using the GoodReads and ModCloth datasets, GEase-K denotes superior performance compared to GLocal-K.