• Title/Summary/Keyword: Reasoning Ability

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Color Preference and Personality Modeling using Fuzzy Logic

  • Kim, Kwang-Baek;Chae, Gyoo-Yong;Abhijit S. Pandya
    • Journal of information and communication convergence engineering
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    • v.2 no.1
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    • pp.32-35
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    • 2004
  • Human ability to perceive colors is a very subjective matter. The task of measuring and analyzing appropriate colors from colored images, which matches human sensitivity for perceiving colors, has been a challenge to the research community. In this paper we propose a novel approach, which involves the use of fuzzy logic and reasoning to analyze the RGB color intensities extracted from sensory inputs to understand human sensitivity for various colors. Based on this approach, an intelligent system has been built to predict the subject's personality. The results of experiments conducted with this system are discussed in the paper.

Prediction of hub genes of Alzheimer's disease using a protein interaction network and functional enrichment analysis

  • Wee, Jia Jin;Kumar, Suresh
    • Genomics & Informatics
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    • v.18 no.4
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    • pp.39.1-39.8
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    • 2020
  • Alzheimer's disease (AD) is a chronic, progressive brain disorder that slowly destroys affected individuals' memory and reasoning faculties, and consequently, their ability to perform the simplest tasks. This study investigated the hub genes of AD. Proteins interact with other proteins and non-protein molecules, and these interactions play an important role in understanding protein function. Computational methods are useful for understanding biological problems, in particular, network analyses of protein-protein interactions. Through a protein network analysis, we identified the following top 10 hub genes associated with AD: PTGER3, C3AR1, NPY, ADCY2, CXCL12, CCR5, MTNR1A, CNR2, GRM2, and CXCL8. Through gene enrichment, it was identified that most gene functions could be classified as integral to the plasma membrane, G-protein coupled receptor activity, and cell communication under gene ontology, as well as involvement in signal transduction pathways. Based on the convergent functional genomics ranking, the prioritized genes were NPY, CXCL12, CCR5, and CNR2.

A Study on Descriptive Assessment of Mathematics in Russia's Unified State Examination (러시아의 국가통합시험에서 수학교과의 서술형 평가 연구)

  • Han, Inki;Shin, Vladimir
    • Journal of Science Education
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    • v.46 no.1
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    • pp.121-149
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    • 2022
  • Descriptive assessment is a meaningful assessment method in relation to problem solving ability, reasoning ability, and communication ability as emphasized in mathematics curriculum. In Korea, as performance assessment has been emphasized since the 7th mathematics curriculum, descriptive assessment is being conducted as a method of performance assessment in schools. However, descriptive assessment has not been introduced in the university scholastic ability test for various reasons. Considering that descriptive assessment is emphasized in the mathematics classroom and has sufficient educational value, a serious discussion on the implementation of descriptive assessment in the university scholastic ability test will be necessary. In this study, we analyzed the descriptive assessment of Russia's unified state examination (USE) in the mathematics, which corresponds to Korea's university scholastic ability test. Through a literature review, we investigated how mathematics examination problems were structured in the USE and which mathematical abilities were required for the examination. In particular, the outer structure of the problems was analyzed focusing on the mathematics problems of the USE 2021, and the scoring method of the descriptive problems was also analyzed. The results of this study are expected to provide a variety of information on the possibility of introducing descriptive assessment in the Korean university scholastic ability tests.

Cross-Sectional Item Response Analysis of Geocognition Assessment for the Development of Plate Tectonics Learning Progressions: Rasch Model (판구조론의 학습발달과정 개발을 위한 지구적 인지과정 평가의 횡단적 문항 반응 분석: Rasch 모델)

  • Maeng, Seungho;Lee, Kiyoung
    • Journal of The Korean Association For Science Education
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    • v.35 no.1
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    • pp.37-52
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    • 2015
  • In this study, assessment items to examine geocognition on plate tectonics were developed and applied to middle and high school students and college students. Conceptual constructs on plate tectonics are Earth interior structure, specific geomorphology, and geologic phenomena at each plate boundary. Construct for geocognition included temporal reasoning, spatial reasoning, retrospective reasoning, and system thinking. Pictorial data in each item were all obtained from GeoMapApp. Students' responses to the items were analyzed and measured cross-sectionally by Rasch model, which distinguishes persons' ability levels based on their scores for all items and compared them with item difficulty. By Rasch model analysis, Wright maps for middle and high school students and college students were obtained and compared with each other. Differential Item Functioning analysis was also implemented to compare students' item responses across school grades. The results showed: 1) Geocognition on plate tectonics was an assessable construct for middle and high school students in current science curriculum, 2) The most distinguished geocognition factor was spatial reasoning based on cross sectional analysis across school grades, 3) Geocognition on plate tectonics could be developed towards more sophisticated level through scaffolding of relevant instruction and earth science content knowledge, and 4) Geocognition was not a general reasoning separated from a task content but a content-specific reasoning related to the content of an assessment item. We proposed several suggestions for learning progressions for plate tectonics and national curriculum development based on the results of the study.

A Study on Coding Education of Non-Computer Majors for IT Convergence Education (IT 융합교육을 위한 비전공자 코딩교육의 발전방안)

  • Pi, Su-Young
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.1-8
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    • 2016
  • Coding education is an effective convergence type educational tool. While solving problems and designing programs, students can enhance problem solving ability, logical reasoning ability and creative thinking. Researches on coding education are done primarily for elementary school and middle school students. However, researches on college students are lacking. Today, educating college students about coding is in dire need. Although there are efforts to promote the importance of coding education and make it requirements. People find it difficult to find ways to provide training. There is a need for researches on coding as universal education. Therefore, this research proposed educational training using app inventor based on flipped running in order to effectively promote coding education. This study conducted the survey and the personal interview to measure the effectiveness of coding education. It is hoped that, through coding education, students who do not major in coding could combined their knowledge of their major with coding to improve their problem solving ability to solve various problems based on computing knowledge and approach.

Development and application of program for mathematically gifted students based on mathematical modeling : focused on Voronoi diagram and Delaunay triangulation (영재교육을 위한 수학적 모델링 프로그램의 개발 및 적용 :보로노이 다이어그램과 들로네 삼각분할을 중심으로)

  • Yu, Hong-Gyu;Yun, Jong-Gug
    • Communications of Mathematical Education
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    • v.31 no.3
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    • pp.257-277
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    • 2017
  • The purpose of this research is divide into two kinds. First, develop the mathematical modeling program for mathematically gifted students focused on Voronoi diagram and Delaunay triangulation, and then gifted teachers can use it in the class. Voronoi diagram and Delaunay triangulation are Spatial partition theory use in engineering and geography field and improve gifted student's mathematical connections, problem solving competency and reasoning ability. Second, after applying the developed program to the class, I analyze gifted student's core competency. Applying the mathematical modeling program, the following findings were given. First, Voronoi diagram and Delaunay triangulation are received attention recently and suitable subject for mathematics gifted education. Second,, in third enrichment course(Student's Centered Mathematical Modeling Activity), gifted students conduct the problem presentation, division of roles, select and collect the information, draw conclusions by discussion. In process of achievement, high level mathematical competency and intellectual capacity are needed so synthetic thinking ability, problem solving, creativity and self-directed learning ability are appeared to gifted students. Third, in third enrichment course(Student's Centered Mathematical Modeling Activity), problem solving, mathematical connections, information processing competency are appeared.

Assessment Tools of Cognitive-communicative Ability for Traumatic Brain Injury and Right Hemisphere Damage: A Review (외상성 뇌손상 및 우반구 손상 환자의 인지-의사소통 능력 평가도구에 관한 문헌 고찰)

  • Lee, Mi-Sook;Kim, Hyang-Hee
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.253-262
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    • 2011
  • Cognitive-communicative disorders after traumatic brain injury(TBI) and right hemisphere damage(RHD) are different from other neurological disorders in nature. Therefore, it is not desirable to use aphasia tests in evaluating individuals with TBI or RHD. The aim of this study is to review assessment protocols on TBI and RHD, and literature related with them. As a result, it is recommended that individuals with TBI be examined in scope of the cognition including attention, memory, organization, reasoning, as well as the functional communication. Similarly, it is useful to consider high-order language related to various cognitive domains in assessing cognitive-communicative ability after RHD. In conclusion, we need to focus on the overall cognitive-communicative domains in an evaluative process of TBI and RHD. Furthermore, it is necessary to develop multiple items for individuals with cognitivecommunicative disorders for the purpose of differentiating these heterogeneous groups from other neurological disorders such as aphasia, and of making good use of them as a therapeutic manual.

An Analysis of Elementary School Students' Informal Knowledge In Proportion (초등학생의 비례에 관한 비형식적 지식 분석)

  • Park, Sang-Eun;Lee, Dae-Hyun;Rim, Hae-Kyung
    • Communications of Mathematical Education
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    • v.24 no.2
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    • pp.345-363
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    • 2010
  • The purpose of this study is to investigate and analyze informal knowledge of students who do not learn the conception of proportion and to identify how the informal knowledge can be used for teaching the conception of proportion in order to present an effective method of teaching the conception. For doing this, proportion was classified into direct and inverse proportion, and 'What are the informal knowledge of students?' were researched. The subjects of this study were 117 sixth-graders who did not have prior learning on direct and inverse proportion. A total eleven problems including seven for direct proportion and four for inverse proportion, all of them related to daily life. The result are as follows; Even though students didn't learn about proportion, they solve the problems of proportion using informal knowledge such as multiplicative reasoning, proportion reasoning, single-unit strategy etc. This result implies mathematics education emphasizes student's informal knowledge for improving their mathematical ability.

Functional Neuroimaging of General Fluid Intelligencein Prodigies

  • Lee, Kun-Ho
    • Proceedings of the Korean Society for the Gifted Conference
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    • 2003.05a
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    • pp.137-138
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    • 2003
  • Understanding how and why people differ is a fundamental, if distant, goal of research efforts to bridge psychological and biological levels of analysis. General fluid intelligence (gF) is a major dimension of individual differences and refers to reasoning and novel problemsolving ability. A conceptual integration of evidence from cognitive (behavioral) and anatomical studies suggeststhat gF should covary with both task performance and neural activity in specific brain systems when specific cognitive demands are present, with the neural activity mediating the relation between gF and performance. Direct investigation of this possibility will be a critical step toward a mechanistic model of human intelligence. In turn, a mechanistic model might suggest ways to enhance gF through targeted behavioral or neurobiological intervent ions, We formed two different groups as subjects based on their scholarly attainments. Each group consists of 20 volunteers(aged 16-17 years, right-handed males) from the National Gifted School and a local high school respectively. To test whether individual differences in general intelligence are mediated at a neural level, we first assessed intellectual characteristics in 40 subjects using standard intelligence tests (Raven's Advanced Progressive Matrices, Wechsler Adult Intelligence Scale, Torrance Tests of Creative Thinking) administered outside of the MR scanner. We then used functional magnetic resonance imaging (fMRl) to measure task-related brain activity as participants performed three different kinds of computerized reasoning tasks that were intended to activate the relevant neural systems. To examine the difference of neural activity according to discrepancy in general intelligence, we compared the brain activity of both extreme groups (each, n=10) of the participants based on the standard intelligence test scores. In contrast to the common expectation, there was no significant difference of brain region involved in high-g tasks between both groups. Random effect analysis exhibited that lateral prefrontal, anterior cingulate and parietal cortex are associated with gF. Despite very different task contents in the three high-g-low-g contrasts, recruitment of multiple regions is markedly similar in each case, However, on the task with high 9F correlations, the Prodigy group, (intelligence rank: >99%) showed higher task-related neural activity in several brain regions. These results suggest that the relationship between gF and brain activity should be stronger under high-g conditions than low-g conditions.

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Analysis on cognitive variables affecting proportion problem solving ability with different level of structuredness (비례 문제 해결에 영향을 주는 인지적 변인 분석)

  • Sung, Chang-Geun;Lee, Kwang-Ho
    • Journal of Educational Research in Mathematics
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    • v.22 no.3
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    • pp.331-352
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    • 2012
  • The purpose of the study is to verify what cognitive variables have significant effect on proportional problem solving. For this aim, the study classified proportional problem into well-structured, moderately-structured, ill-structured problem by the level of structuredness, then classified the cognitive variables as well into factual algorithm knowledge, conceptual knowledge, knowledge of problem type, quantity change recognition and meta-cognition(meta-regulation and meta-knowledge). Then, it verified what cognitive variables have significant effects on 6th graders' proportional problem solving abilities through multiple regression analysis technique. As a result of the analysis, different cognitive variables effect on solving proportional problem classified by the level of structuredness. Through the results, the study suggest how to teach and assess proportional reasoning and problem solving in elementary mathematics class.

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