This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.
The purpose of this study was to develop learning materials based on the Kepler's abductive reasoning and to identify high school students' rule-inferring strategies on the law of planetary motion. The learning materials including the concepts of solar magnetic field, conservation of figure skater's angular momentum and Kepler's polyhedral theory were developed and the questions about Kepler's 2nd and 3rd law of planetary motion were also created. The participants were 79science high school students and 83general high school students. The patterns and properties of their abductive inference were analyzed. The findings revealed that the students showed 'incomplete analogy abduction', 'analogy abduction' and 'reconstruction' to generate the hypotheses concerning the Mars' motion related to the solar magnetic field. There were more general high school students who showed the incomplete analogy abduction than science high school students. On the other hand, there were more science high school students who showed the analogy abduction and reconstruction strategy than general high school students. Also, they showed 'incomplete analogy abduction', 'analogy abduction' and 'model construction and manipulation' to generate the hypotheses concerning Kepler's second law. A number of general high school students showed the incomplete analogy. It is suggested that because the analogy of figure skater cause the students' alternative framework to use, more detailed demonstration is necessary in class. In addition, students combined Kepler's polyhedral theory with their prior knowledge to infer Kepler's third law.
This study was designed to develop a conceptual framework for the curriculum and develop the details of the learning content for the education of Community Health Practitioners (CHPs). Since education programs for CHPs started 10 years ago, concepts related to CHP services have changed because of changes in society. The objectives of the study were as follows : 1) to analyse the usefulness of the present education program for CHPs, 2) to analyse the Job performance and self -confidence of the CHPs, 3) to identify the health needs of the clients served by the CHPs and the community problems related to health. 4) to develop a conceptual framework for the curriculum, for the education of CHPs, 5) to develops details for the learning content of the education program for CHPs. Phase I of the study was conducted by questionnaires to 150 CHPs who have worked in remote rural areas for more than 2 years. Among them, 147 responded. Data was collected from August 16, to August 25, 1990. In order to identify the health needs of the community people, research within the last five years was reviewed and analyzed. The data on 1, 842 communities gathered by the WHO Nursing Collaborations Center of the College of Nursing, Yonsei University was utilized to identify community problems related to health and the self - confidence in job performance of the CHPs. Psase II of the study consisted of a workshop with 13 professionals including Community Health Practitioners to evaluate the existing education program and a conceptual framework of the curriculum for the job education of CHPs. The results of the study are Summariged below : 1. The only 26 among 45 content items of the education program related to job skills was used by 80% of the responding CHPs. The knowledge of $\ulcorner$Networking community organization$\lrcorner$ was used by only 53.7% of the respondents. Educational content about $\ulcorner$Mental disease$\lrcorner$ was used by less than 50% of CHPs because of a knowledge deficit. 2. The CHPs reported that their activities concentrated on clinical services during the last six months. The survey showed that they seemed to neglect the activities for health promotion and disease prevention. Thus, $\ulcorner$Education for community loaders$\lrcorner$(15.9%), $\ulcorner$Activity for eavironmental health$\lrcorner$(16.3%) and $\ulcorner$Social work for needey people$\lrcorner$(23.3%) were done by less than 30% of CHPs. 3. More than 90% of CHPs reported being self - confident for the activities of $\ulcorner$Health education and counselling$\lrcorner$, $\ulcorner$Medicine prescription$\lrcorner$ and $\ulcorner$Immunization$\lrcorner$. But 50% of CHPs reported that they were not have self - confident in $\ulcorner$Management of water and environmental health$\lrcorner$ and only 25.6% of CHPs could insert an IUD independently. 4. It was identified that respiratory diseases and the gastrointestinal diseases were most common problems for the community people, followed by musculoskeletal and skin problems. 5. The community problems were classified into eight categories : physical environmental problems, environmental hygiene, health problems, health behavior, social problem, lack of resources, financial problem and the problems of the cultural and value system. 6. The conceptual framework consisted of the target population and their health status, nursing process working site and primary health care services such as health promotion, disease prevention, treatment and rehabilitation. 7. The contents of curriculum of education program for CHPs were formulated from the results of this study.
Journal of the Korean Association of Geographic Information Studies
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v.9
no.4
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pp.165-175
/
2006
The discussion about capacity development (CD) has been spotlighted as significant drivers for sustainable development in recent years. Multi-dimensional natures of capacities would lead to various definitions of CD in international institutes and organizations. CD is perceived as an endogeneous process to improve actionable learning and knowledge, but most of core capacities still remain abstract notion and might be unreliable in sustainable development (SD). The paper first explicates international perspectives of CD in association with SD. An agent-based model is especially proposed to portray more details of CD. It illuminates the role of assets (or capitals, resources) in agents to impact on ingredients of CDs that are drivers or enablers for improvement of SD. A definition of sustainable capacity development is firstly articulated in international society and its conceptual framework is also creatively designed to assist concerned international organizations. The paper concludes by proposing practical spatial asset mapping linking to agent-based organizational capacity as a tool for measuring sustainable capacity development.
Journal of the Korean Institute of Intelligent Systems
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v.1
no.1
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pp.9-25
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1991
This tutorial paper has been written for biologists, physicians or beginners in fuzzy sets theory and applications. This field is introduced in the framework of medical diagnosis problems. The paper describes and illustrates with practical examples, a general methodology of special interest in the processing of borderline cases, that allows a graded assignment of diagnoses to patients. A pattern of medical knowledge consists of a tableau with linguistic entries or of fuzzy propositions. Relationships between symptoms and diagnoses are interpreted as labels of fuzzy sets. It is shown how possibility measures (soft matching) can be used and combined to derive diagnoses after measurements on collected data. The concepts and methods are illustrated in a biomedical application on inflammatory protein variations. In the case of poor diagnostic classifications, it is introduced appropriate ponderations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of results (i.e. diagnostic groups assigned to patients) is performed as a non fuzzy sets partition issued from a "separating power", and not as the center of gravity method commonly employed in fuzzy control. It is then introduced a model of fuzzy connectionist expert system, in which an artificial neural network is designed to build the knowledge base of an expert system, from training examples (this model can also be used for specifications of rules in fuzzy logic control). Two types of weights are associated with the connections: primary linguistic weights, interpreted as labels of fuzzy sets, and secondary numerical weights. Cell activation is computed through MIN-MAX fuzzy equations of the weights. Learning consists in finding the (numerical) weights and the network topology. This feed forward network is described and illustrated in the same biomedical domain as in the first part.
Journal of Elementary Mathematics Education in Korea
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v.21
no.1
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pp.135-160
/
2017
Since mathematics textbooks for 6th graders based on the 2009 revised national curriculum were applied to the site, there has been a note pointing out that the unit of 'ratio and rate' causes some learning difficulties. This implies the necessity of search for desirable methods of organizing the unit of ratio and rate in mathematics textbooks. This study analyzed and compared Korean and foreign mathematics textbooks on ratio and rate longitudinally and horizontally, respectively. For longitudinal analysis, we selected the mathematics textbooks according to the national curriculum since the 5th one. For horizontal analysis, we took the mathematics textbooks of Japan, Singapore, Hong Kong, and Finland. In each textbook, the contents and the order in relation to ratio and rate, the definitions of terminology, and the methods for introducing related concepts are set as the analysis framework. The results of analysis revealed many characteristics and the differences in ways of dealing contents about ratio and rate. Based on these results, we suggested some implications for writing the unit of ratio and rate in elementary mathematics textbooks.
Journal of The Korean Association For Science Education
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v.34
no.8
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pp.787-794
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2014
The purpose of this study was to examine the science writing and perception of students who experienced the argument-based claim and evidence writing approach. One hundred and eight grade 11 students were assigned to an experimental group, while 99 grade 12 students were assigned to a comparative group in their earth science classes. Students' science writings on two science topics were scored using an analytic rubric developed in this study. The comparison of experimental and comparative groups in science writing was carried out using an independent two samples t-test. Students' perception on the instruction was examined using an open-ended survey. Science writing by the experimental group scored significantly higher than that by the comparative group, except for the big idea of 'green energy'. For six concepts in 'green energy' and four concepts in 'plate tectonics, there were more students in the experimental group than the comparative group who indicated them in their science writing. Students' perception on the instruction was positive in that they mentioned planning and conducting inquiry, citing of claims and evidence, and developing inquiry questions were helpful in science learning. The results of this study imply that the argument-based claim and evidence writing approach should be implemented in science classrooms for students to develop a conceptual framework for science.
Journal of the Korea Society of Computer and Information
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v.19
no.2
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pp.263-274
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2014
The objectives of this research are to develop information education framework and derive detail IT curriculums in University Liberal education, which is essential to effective learning all special knowledge and a base skill in university education. In order to achieve these research objectives, first this study theoretically derives three categories of IT education area based on comprehensive review of the previous research including IT Fluency, Information Literacy and Computational Thinking concepts, and explicates concrete items for each category. And then, with respect to each of these items, we empirically investigate the degree of necessity measured by the gap between the required level of knowledge and skills which student should have for effective studying of major curriculum and the present level of them which they really have. Field survey is employed for the data collection: 350 questionnaires are distributed to the students, and 313 questionnaires are collected in useful condition and are analyzed. The findings of this research shows that three dimensions of IT Liberal Education are empirically derived by factor analysis as following: (1) Foundational Concepts of IT, (2) Utilization Capabilities of IT, (3) Intellectual Capabilities of IT. And the results of this study can provide the theoretical basis for constructing the IT education. Also they can be used as a practical guideline in developing and promoting specific University IT education programs in Liberal Education.
Causal questions are prevalent in scientific research, for example, how effective a treatment was for preventing an infectious disease, how much a policy increased utility, or which advertisement would give the highest click rate for a given customer. Causal inference theory in statistics interprets those questions as inferring the effect of a given intervention (treatment or policy) in the data generating process. Causal inference has been used in medicine, public health, and economics; in addition, it has received recent attention as a tool for data-driven decision making processes. Many recent datasets are observational, rather than experimental, which makes the causal inference theory more complex. This review introduces key concepts and recent trends of statistical causal inference in observational studies. We first introduce the Neyman-Rubin's potential outcome framework to formularize from causal questions to average treatment effects as well as discuss popular methods to estimate treatment effects such as propensity score approaches and regression approaches. For recent trends, we briefly discuss (1) conditional (heterogeneous) treatment effects and machine learning-based approaches, (2) curse of dimensionality on the estimation of treatment effect and its remedies, and (3) Pearl's structural causal model to deal with more complex causal relationships and its connection to the Neyman-Rubin's potential outcome model.
The purpose of this research was to analyze characteristics of verbal interactions of each homogeneous group in the learning of the 6th grade's 'Use of Lenses' Unit. For this research, six learning sessions were conducted in one 6th grade class composed of a high-academic-achievement group, an intermediate-academic-achievement group, and a low-academic-achievement group. All lessons were recorded, to analyze the verbal interactions of each group, and the transcribed data were analyzed using the verbal-interaction analytic framework. Results included: In the upper group, although opinions were presented more frequently, there were many negative verbal interactions in completing the tasks. The middle group was observed more specifically to accept peer opinions critically in their observational activities. The middle group's members were more active in presenting their opinions than listening to others' opinions. The lower group had difficulties in drawing conclusions because of a lack of ability to persuade peers or to respect the opinions of peers, even though the frequency of verbal interactions was higher than in other groups. Therefore, a homogeneous group structure is good for a simple activity involving a simple inquiry or an exchange of opinions, while a heterogeneous group structure is more effective in activities focused on understanding scientific concepts and knowledge.
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