• Title/Summary/Keyword: Learning Ability

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Development of the motivating efficacy scale for mathematics teachers (수학교사의 수학 학습동기 유발 효능감 측정 도구 개발 연구)

  • Somin Kim;Hee-jeong Kim
    • Journal of the Korean School Mathematics Society
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    • v.26 no.2
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    • pp.159-184
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    • 2023
  • In this study, after defining motivating efficacy operationally, we developed a draft of the Motivating Efficacy Scale for Mathematics Teachers (MESMT), a measure of mathematics teachers' motivating efficacy, through the literature review and an expert Delphi survey, and conducted the exploratory factor analysis using online survey responses from 347 elementary and secondary mathematics teachers across the country to explore the factor structure of the measure and to test its validity and reliability. The exploratory factor analysis resulted in the deletion of 17 items from the initial 42 items developed through the literature review and expert Delphi survey and the identification of four factors (Providing successful experiences, Eliciting attention and engagement, Creating mathematics case-based relevance, and Providing extrinsic rewards), resulting in a final MESMT of 25 items. The MESMT developed in this study is a valid and reliable measure of mathematics teachers' motivating efficacy, and is expected to serve as a starting point for many subsequent studies to understand mathematics teachers' motivating efficacy and improve mathematics teachers' ability to motivate students' mathematics learning.

Whom does Harry's Magic Power Benefit?: Imperialistic Ideas of Children in The Harry Potter Books ("누구를 위한 마법능력인가?" -『해리 포터』와 영국 제국주의 아동관)

  • Park, Sojin
    • Journal of English Language & Literature
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    • v.55 no.1
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    • pp.3-24
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    • 2009
  • The Harry Potter series is considered to represent the multicultural aspect of contemporary British society and to show critical perspectives of racism. This series, however, also includes many elements of British imperialism. This paper examines the ideas about education and Harry's role in relation to British imperialism. One of the main ideas prevalent in 19th century British boys' public schools was that people's blood origin is the most important element in determining their characteristics, ability and moral qualities. The students' inherited capacity and their family background are more highly regarded than their secondary learning and training. This reflects a 19th century concept that ultimately, inborn quality makes 'a hero', a truth presented in the educational policies of Hogwarts. Hogwarts' educational policies and systems can also be related to 'developmentalism', which defines children as imperfect, in-progress and incomplete, thus needing proper training and discipline. As this concept functioned to justify the control of children while educating them, Hogwarts adopts diverse controlling devices and oppressive policies, which are mainly justified in the name of education. On the one hand, child characters are controlled and oppressed by the school authorities, on the other hand, some of the students such as Harry have remarkable magic powers enough to resist the adult authority and even to save the magic society from the evil power. Harry plays dual roles, which the British boys of the Empire were assigned from their society; they are important heirs to conquer the 'evil' or 'barbarous' world but need to be obedient to a 'good' authority to achieve the mission. Harry's magic power and self-discipline ultimately contribute to fulfilling Dumbledore's mission, which mirrors 19th century British boys' roles as the heirs of the British Empire.

An Overview on Importance of Writing in Mathematics Education (수학교육에서 글쓰기의 중요성에 관한 소고)

  • Kim, Jeonghyeon;Choi-Koh, Sangsook
    • Communications of Mathematical Education
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    • v.37 no.4
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    • pp.591-614
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    • 2023
  • For a long time, mathematics education institutions such as NCTM(National Council of Teachers of Mathematics) have emphasized the essential role of writing, and recent surveys by the Ministry of Education report a decline in foundational academic skills in the post-COVID19 period. The purpose of this study is to redefine the significance of mathematics writing in mathematics education, focusing on competencies highlighted in the field, particularly in the areas of problem-solving, communication, and reasoning. The research findings indicate that writing in problem-solving enhances cognitive organization, fostering the ability to grasp concepts and methods. Writing in communication builds confidence through the meta-cognitive process, and writing in inference allows self-awareness of step-by-step identification of areas lacking understanding. Particularly in the future society where artificial intelligence(AI) is utilized, changes in the learning environment necessitate research for the establishment of authenticity judgment through writing and the cultivation of a proper writing culture.

Influence of Job Crafting on Evidence-Based Practical Skills of Dental Hygienists

  • Min-ji Kim;Kyu-ri Kim;Yun-ji Kim;Seo-yeon Im;You-bin Cho;Ru-by Choi;Hee-jung Lim
    • Journal of dental hygiene science
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    • v.23 no.4
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    • pp.330-342
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    • 2023
  • Background: As the medical knowledge base grows at an accelerating rate, evidence-based clinical performance becomes increasingly important for providing quality care. Previous studies have highlighted the need to promote job crafting to actualize evidence-based practical skills in the medical field. This study aimed to investigate the degree of evidence-based practice among dental hygienists and assess the impact of job crafting on the evidence-based practical skills of dental hygienists. Methods: Dental hygienists working at dental hospitals and clinics in Seoul and Gyeonggi Province were surveyed between February 28 and April 6, 2023. The sample was comprised of 267 participants. The hypotheses were tested independent t-tests, one-way analysis of variance, Pearson's correlation coefficients, and multiple regression analyses using SPSS 29.0. Results: The degree of job crafting by dental hygienists demonstrated significant differences based on educational attainment, workplace size, and workplace type. Evidence-based practical skills exhibited significant variations based on educational attainment and job position. All job crafting subfactors demonstrated positive correlations with evidence-based practical skills. The job crafting subfactors affecting the evidence-based practical skills of dental hygienists were 'increasing structural job resources' and 'increasing challenging job demands,' which together explained 38.7% of the variance in evidence-based practical skills. Conclusion: This study demonstrates that job crafting was positively and significantly correlated with evidence-based practical skills. To strengthen the job crafting ability of dental hygienists, improving environmental conditions and fostering an organizational culture that motivates continued participation in education is necessary. The development and promotion of programs that enable learning of the latest evidence should be actively pursued. Additionally, regular attendance at workshops and participation in organizational evidence-based practice education programs are necessary.

Case study : Appication of PBL to Business Ethics Education in International Trade Curriculum (무역학 교육과정에서 PBL(문제중심학습)의 기업윤리 수업 적용 사례연구)

  • Tae-Hyung Oh
    • Korea Trade Review
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    • v.48 no.2
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    • pp.95-110
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    • 2023
  • This paper presents an example of the introduction and operation of the PBL so that students can have the ability to apply the problems of corporate social responsibility and ethical values that must be considered by exporting companies or multinational companies, which are the main research subjects of business dynamics. As a result, students were able to broaden their views through self-directed classes and presentations, listen to and share opinions of other students through discussions, and were able to take a logical approach to judgment standards involved in specific corporate activities, showing that the PBL teaching method is effectively applied to business ethics classes.

Semantic Segmentation of Drone Images Based on Combined Segmentation Network Using Multiple Open Datasets (개방형 다중 데이터셋을 활용한 Combined Segmentation Network 기반 드론 영상의 의미론적 분할)

  • Ahram Song
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.967-978
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    • 2023
  • This study proposed and validated a combined segmentation network (CSN) designed to effectively train on multiple drone image datasets and enhance the accuracy of semantic segmentation. CSN shares the entire encoding domain to accommodate the diversity of three drone datasets, while the decoding domains are trained independently. During training, the segmentation accuracy of CSN was lower compared to U-Net and the pyramid scene parsing network (PSPNet) on single datasets because it considers loss values for all dataset simultaneously. However, when applied to domestic autonomous drone images, CSN demonstrated the ability to classify pixels into appropriate classes without requiring additional training, outperforming PSPNet. This research suggests that CSN can serve as a valuable tool for effectively training on diverse drone image datasets and improving object recognition accuracy in new regions.

Increase in dental hygienists' competency and self-directed capacity after capstone design course on community dental hygiene (캡스톤 디자인 지역사회치위생학 수업이 치과위생사 역량 및 자기 주도력 증가에 미치는 효과)

  • Seon-Ju Sim;Sun-Mi Lee
    • Journal of Korean society of Dental Hygiene
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    • v.24 no.2
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    • pp.99-108
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    • 2024
  • Objectives: This study aimed to verify the effect on students' competency and self-directed capacity after a capstone design teaching method with community dental hygiene class. Methods: The study participants were 34 dental hygiene students taking a 4-year community dental hygiene course at a university located in City C. The research tool consisted of 52 questions on major competency and 20 questions on self-directed capacity. Results: After the capstone design class, overall dental hygienists' competency increased (p<0.05), and competencies of clinical dental hygiene and community health promotion showed a high increase (p<0.001). As a result of analyzing the increase in dental hygienists' competency according to self-directed learning ability, the group with low self-directed capacity showed high improvement in clinical dental hygiene competency and community oral health promotion competency. Conclusions: This study confirmed that the capstone design course in community dental hygiene improved students' competency and self-directed capacity, and suggests that it is an excellent teaching method for training competencies required for future society.

A Method for Generating Malware Countermeasure Samples Based on Pixel Attention Mechanism

  • Xiangyu Ma;Yuntao Zhao;Yongxin Feng;Yutao Hu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.456-477
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    • 2024
  • With information technology's rapid development, the Internet faces serious security problems. Studies have shown that malware has become a primary means of attacking the Internet. Therefore, adversarial samples have become a vital breakthrough point for studying malware. By studying adversarial samples, we can gain insights into the behavior and characteristics of malware, evaluate the performance of existing detectors in the face of deceptive samples, and help to discover vulnerabilities and improve detection methods for better performance. However, existing adversarial sample generation methods still need help regarding escape effectiveness and mobility. For instance, researchers have attempted to incorporate perturbation methods like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and others into adversarial samples to obfuscate detectors. However, these methods are only effective in specific environments and yield limited evasion effectiveness. To solve the above problems, this paper proposes a malware adversarial sample generation method (PixGAN) based on the pixel attention mechanism, which aims to improve adversarial samples' escape effect and mobility. The method transforms malware into grey-scale images and introduces the pixel attention mechanism in the Deep Convolution Generative Adversarial Networks (DCGAN) model to weigh the critical pixels in the grey-scale map, which improves the modeling ability of the generator and discriminator, thus enhancing the escape effect and mobility of the adversarial samples. The escape rate (ASR) is used as an evaluation index of the quality of the adversarial samples. The experimental results show that the adversarial samples generated by PixGAN achieve escape rates of 97%, 94%, 35%, 39%, and 43% on the Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), Convolutional Neural Network and Recurrent Neural Network (CNN_RNN), and Convolutional Neural Network and Long Short Term Memory (CNN_LSTM) algorithmic detectors, respectively.

A study on Digital Literacy for University Liberal Education in the AI Era (AI 시대 대학 교양교육에 필요한 디지털 리터러시 연구)

  • Hye-Jin Baek;Cheol-Seung Lee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.3
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    • pp.539-544
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    • 2024
  • This paper examines the necessity and direction of digital literacy education as university education in the AI era. Digital literacy can be considered universal education about everyday culture in a digital environment, and its scope is expanding to cultivate the competencies necessary for citizens of a digital society, rather than simply the ability to use digital devices. In this paper, the university liberal arts curriculum has strengthened the information literacy area to reflect the changes of the times, but it is presented as a problem that it is still focused on the technical aspects of learning how to use digital devices and specific programs. It was suggested that the direction of digital literacy education in universities should not be limited to the technical and instrumental aspects of using digital devices, but that it would be desirable to focus on digital ethics considering the social impacts that may arise from the use of digital devices.

Autonomous exploration for radioactive sources localization based on radiation field reconstruction

  • Xulin Hu;Junling Wang;Jianwen Huo;Ying Zhou;Yunlei Guo;Li Hu
    • Nuclear Engineering and Technology
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    • v.56 no.4
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    • pp.1153-1164
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    • 2024
  • In recent years, unmanned ground vehicles (UGVs) have been used to search for lost or stolen radioactive sources to avoid radiation exposure for operators. To achieve autonomous localization of radioactive sources, the UGVs must have the ability to automatically determine the next radiation measurement location instead of following a predefined path. Also, the radiation field of radioactive sources has to be reconstructed or inverted utilizing discrete measurements to obtain the radiation intensity distribution in the area of interest. In this study, we propose an effective source localization framework and method, in which UGVs are able to autonomously explore in the radiation area to determine the location of radioactive sources through an iterative process: path planning, radiation field reconstruction and estimation of source location. In the search process, the next radiation measurement point of the UGVs is fully predicted by the design path planning algorithm. After obtaining the measurement points and their radiation measurements, the radiation field of radioactive sources is reconstructed by the Gaussian process regression (GPR) model based on machine learning method. Based on the reconstructed radiation field, the locations of radioactive sources can be determined by the peak analysis method. The proposed method is verified through extensive simulation experiments, and the real source localization experiment on a Cs-137 point source shows that the proposed method can accurately locate the radioactive source with an error of approximately 0.30 m. The experimental results reveal the important practicality of our proposed method for source autonomous localization tasks.