• Title/Summary/Keyword: insight learning

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Cognitive Characteristics and Learning Needs of Economically Disadvantaged Gifted Students (소외계층 영재학생의 인지특성과 학습요구)

  • Park, Minjung;Park, Jiyeon;Jeon, Dongryul;Lee, Kyung-Sook
    • Journal of Gifted/Talented Education
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    • v.26 no.1
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    • pp.1-20
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    • 2016
  • This study explored the cognitive characteristics and learning needs of economically disadvantaged gifted students. Gifted students(n=99), economically disadvantaged gifted students(n=43), and non-gifted students(n=50) participated in intelligence and creativity tests, and took self assessments of meta-cognition, epistemological beliefs, learning style preferences, and personal time usage. Superior abstract reasoning ability of economically disadvantaged gifted students was found because their scores on Raven's Test had risen rapidly compared to the other groups. Economically disadvantaged gifted students showed similar high scores as the gifted student on the Torrance Tests of Creativity Thinking-Figural, but not on Verbal. They were found to have a perception of the positive relationships among effort, learning abilities, and values of learning integrated knowledge with a general plan. However, they showed lower meta-cognitive control abilities than the gifted students in learning management and strategies, epistemological beliefs in value of rational operations, and time usage for learning. It is necessary to assign economically disadvantaged gifted students a task with various step by step methods of approach because these students prefer a new and creative task to difficult ones. Instruction plans such as developing language and meta-cognitive abilities and practical application of learning content was proposed.

Study and development on ethics code of research-learning (연구·학습윤리 규범 연구개발)

  • Yi, Sae-seong
    • Journal of Korean Philosophical Society
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    • v.123
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    • pp.309-346
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    • 2012
  • The trust toward the researchers and their study activities in society has faltered, in the wake of the paper fabrication event of researcher, Hwang Woo-Suk's doctor research team. After the event, researcher community and scientific community have experienced many changes through the self-reflection or the process of insight meditation. Until now, we have experienced that when researcher community leads the way to try to show their efforts to eliminate the raised doubts throughly, the public support toward researcher community and the trust in its study activity have not faltered. Nevertheless, the path for the researchers to go is still far and rough because the opposite cases coping with research misconducts passively are much more. Therefore It's urgent that misconducts in the research and learning should be avoided from unnecessary overinterpretation. To practice it, above all it's important how well researcher or learner should be equipped with a system where decision is made autonomously and reasonably, regardless of the interests from all fields including politic, economic and social etc. It's also required that their systems should be meticulous enough to prevent such irrationality in advance before the misconduct instances are depreciated. In this context, I will investigate the reason why research and development on norms in research ethics and learning ethics is meaningful, not in a posteriori but a priori dimension, as the way to have researcher and learner prepare autonomous self-purification systems. It's essential that for the progress of an obvious argument, first, what research ethics and learning ethics are should be established and defined distinctly(2). Then in the process, it is also examined why research ethics and learning ethics need norms(3). Subsequently I will conclude the paper, arguing the reason why research ethics and learning ethics should be justified(4), if the norms in research ethics and learning ethics can be formulated(5).

International Study and Transformational Learning: What Covid-19 Has Taught Us

  • Rodgers, Steve
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1221-1221
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    • 2022
  • Studying abroad in and of itself should be a unique and transformational learning experience for university students. Too often, "study abroad" is a code word for "faculty vacation" or "easy credit hours". For an international learning experience to be truly transformational it must offer an intense and directed program that maximizes the time the student spends in the accumulation of information that is new or different from what the student has "learned" previously. "Study abroad" may be a misnomer because it is not only about studying in another country or culture, that is, taking courses that usually have an attendance time of a few hours a week, but it is also about living in another country which becomes a 24/7 learning experience. Providing these programs during the Covid-19 pandemic has been a keen opportunity for institutional learning. When this immersion in foreign culture is combined with academic rigor applied to a student's chosen field of study the growth can be exponential. So, what is the relationship between academic and personal growth? The National Association for Study Abroad has found that "students who have studied abroad are better able to work with people from other countries, understand the complexity of global issues, and have greater intercultural learning. One study found that students returned from their study abroad experiences more tolerant and less fearful of other countries, but with a greater sense of nationalism-a phenomenon they called 'enlightened nationalism'." It is often said that "you only really learn to appreciate things that are important to you when they are gone, when you miss them." The international learning environment can provide this opportunity. The restrictions on various societies in the past two years due to the international Covid pandemic have provided existing study abroad programs with a true testing ground for the validity of their programs. At the end of the day, American colleges and universities are not helpless in the face of these developments. A lot depends on how a university positions itself for a future based on the uncertainties of the past. As Winston Churchill was working to form the United Nations after WWII, he famously said, "Never let a good crisis go to waste". In another context, Churchill's insight on human nature can also be applied to the coming semesters and years as studying abroad rebounds. What new strategies will be developed and maintained? Institutional commitment without fear will be necessary to assure that "studying abroad" will continue to develop as a truly unique and transformational learning experience.

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A Comparative Study of South Korea and Turkey: Attitudes, Beliefs, and Creative Student Oriented Teaching Practices of Middle School Mathematics Teachers

  • Corlu, M. Sencer;Erdogan, Niyazi;Sahin, Alpaslan
    • Research in Mathematical Education
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    • v.15 no.3
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    • pp.295-310
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    • 2011
  • Teachers' attitudes and beliefs are related to teaching practices and are dependent upon their teaching domain. The present study compares conceptual models of creative student oriented teaching practices of mathematics teachers in two OECD countries, South Korea and Turkey to provide an insight for teacher educators and policy makers. Teaching and Learning International Survey 2008 (TALIS 2008) data are used to test the fit of a path analysis model with a subsample of l337 middle school mathematics teachers ($N_{Korea}$ = 562 vs. $N_{Turkey}$ = 775). The study showed that Turkish teachers were younger and less experienced, whereas Korean teachers were better educated. Despite the statistical differences in attitudes, beliefs and practices between countries, it was found that the teaching practices of mathematics teachers in both countries were more complex than to be explained only through attitudes and beliefs.

Examining Teachers' Beliefs about Teaching English in a Teacher Training Program

  • Yang, Eun-Mi
    • English Language & Literature Teaching
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    • no.3
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    • pp.71-93
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    • 1997
  • Teachers' beliefs about teaching English are reflected in their practices in the classroom. They influence on the students' attitude to English learning. Any teacher training program expects the trainees to change or modify their existing beliefs and attitude through the new ideas and information introduced by the program toward a desired direction. The present study describes a teacher training program for elementary school English teachers and compares the beliefs of the teachers about teaching English before and after the training. The subjects are the elementary school English teachers around Chungnam area who get a special training of 120 hours during January 1997. The investigation of the subjects' beliefs on English teaching is conducted through examining two journals of each subject before and after the training. The journals show the teachers' inner flow of thought, so teacher trainers are expected to get insight on their general instructional considerations and have implications on the future teacher training program through examining these journals. In addition, the journal writing itself gives the teachers opportunity to reflect their practice and rethink about their beliefs, and develop themselves as professional English teachers.

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How to develop the ability of proof methods?

  • Behnoodi, Maryam;Takahashi, Tadashi
    • Research in Mathematical Education
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    • v.13 no.3
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    • pp.217-233
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    • 2009
  • The purpose of this study is to describe how dynamic geometry systems can be useful in proof activity; teaching sequences based on the use of dynamic geometry systems and to analyze the possible roles of dynamic geometry systems in both teaching and learning of proof. And also dynamic geometry environments can generate powerful interplay between empirical explorations and formal proofs. The point of this study was to show that how using dynamic geometry software can provide an opportunity to link between empirical and deductive reasoning, and how such software can be utilized to gain insight into a deductive argument.

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User Review Mining: An Approach for Software Requirements Evolution

  • Lee, Jee Young
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.124-131
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    • 2020
  • As users of internet-based software applications increase, functional and non-functional problems for software applications are quickly exposed to user reviews. These user reviews are an important source of information for software improvement. User review mining has become an important topic of intelligent software engineering. This study proposes a user review mining method for software improvement. User review data collected by crawling on the app review page is analyzed to check user satisfaction. It analyzes the sentiment of positive and negative that users feel with a machine learning method. And it analyzes user requirement issues through topic analysis based on structural topic modeling. The user review mining process proposed in this study conducted a case study with the a non-face-to-face video conferencing app. Software improvement through user review mining contributes to the user lock-in effect and extending the life cycle of the software. The results of this study will contribute to providing insight on improvement not only for developers, but also for service operators and marketing.

The Analysis of Flatland Challenge Winners' Multi-agent Methodologies

  • Choi, BumKyu;Kim, Jong-Kook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.369-372
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    • 2021
  • Scheduling the movements of trains in the modern railway system is becoming essential and important. Swiss Federal Railway Company (SBB) and machine learning researchers began collaborating to make a simulation environment and held a Flatland challenge. In this paper, the methodologies of the winners of this competition are analyzed to achieve insight and research trends. This problem is similar to the Multi-Agent Path Finding (MAPF) and Vehicle Rescheduling Problem (VRSP). The potential of the attempted methods from the Flatland challenge to be applied to various transportation systems as well as railways is discussed.

Comparisons positive psychology experience of high school students using PPE-M (PPE-M을 이용한 고등학생들의 긍정심리체험 비교)

  • Hong, Jin Kon;Kim, Tae Kuk
    • Communications of Mathematical Education
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    • v.27 no.2
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    • pp.135-163
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    • 2013
  • This study dealt with the measurements of the positive psychological experience of high school students in relation to mathematics learning by using PPE-M. The purpose of this study is to compare the positive psychology of the high school students based on the grade and gender variables. Measured data for the purpose of this study examined the difference between the gifted students and the general students through a t-test. In addition, differences were analyzed by grade and gender variables. And One-way ANOVA was conducted to see the difference according to the course variables. The difference between the two groups was meaningful in PPE-M total score. There was meaningful difference in all of 5 areas and 19 factors except for 4 factors (Insight, Honesty, Full with pride, and Achievement). However, there was no difference according to grade levels. The comparison between the gender in the ordinary students shows meaningful difference in 11 factors, not in 12 (Judgment, Insight, Honesty, Prudence, Modesty & Kindness, Gratitude & Happiness, Flow, Superiority feeling, Achievement, High pleasure, Full with pride, and Self-efficacy). Affiliation makes meaningful difference in 22 factors except for Honesty.

An Insight Study on Keyword of IoT Utilizing Big Data Analysis (빅데이터 분석을 활용한 사물인터넷 키워드에 관한 조망)

  • Nam, Soo-Tai;Kim, Do-Goan;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.146-147
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    • 2017
  • Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

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