• Title/Summary/Keyword: Learner diagnosis

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Design and Implementation of Intelligent Tutoring System for Fractional Computation (분수 연산을 위한 지능형 교수시스템의 설계 및 구현)

  • Seo, Byeong-Tae;Han, Sun-Gwan;Jo, Geun-Sik
    • Journal of The Korean Association of Information Education
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    • v.4 no.1
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    • pp.32-39
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    • 2000
  • The traditional programs developed by the existing CAI technique have the fixed curricular, which make it difficult to deliver various study materials that fit the learners of various levels. In addition, a lack of the flexibility prevents from helping to make their methodology in studying uniform open minded. In order to solve these problems, we have designed and implemented a learner interface that can exclude the limits in the learners active study in solving the fractional operation. In addition to the user interface, this study includes a diagnosis module that can intellectually extract the status of learners understanding, ostensible bugs, and the associated misconceptions through the interface. The experimentation based on the learner interface and the diagnosis module shows that this system correctly diagnoses the level of learners' understanding and the errors in learning, which greatly helps the individualized study.

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Improvement of Learner's learning Style Diagnosis System using Visualization Method (시각화 방법을 이용한 학습자의 학습 성향 진단 시스템의 개선)

  • Yoon, Tae-Bok;Choi, Mi-Ae;Lee, Jee-Hyong;Kim, Yong-Se
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.226-230
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    • 2009
  • Intelligent Tutoring System (ITS) is a procedure of analyzing collected data for teaming, making a strategy and performing adequate service for learners. To perform suitable service for learners, modeling is the first step to collect data from the process of their learning. The model, however, cannot be authentic if collected data can contain learners' inconsistent behaviors or unpredictable learning inclination. This study focused on how to sort normal and abnormal data by analyzing collected data from learners through visualization. A model has been set up to assort unusual data from collected learner's data by using DOLLS-HI which makes possible to diagnose learner's learning propensity based on housing interior learning contents in the experiment. The created model has been confirmed its improved reliability comparing to previous one.

A Design and Implementation of Intelligent Tutoring System for particular supplemented Process - The main theme is Fractional Computation - (특별 보충 과정을 위한 지능형 교육 시스템의 설계 및 구현 - 분수의 연산을 중심으로 -)

  • Kim, Jung-Tae;Han, Kyu-Jung
    • Journal of The Korean Association of Information Education
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    • v.7 no.2
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    • pp.227-237
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    • 2003
  • Conventional studies of Computer Assisted Instruction(CAI) and Intelligent Tutoring System(ITS) have been general patterns to solve problems, so to solve specialized problems, the learner which has the attitude of passiveness should to solve problems including unnecessary processing to the need of the system. Consequently, those are not support the process of creativity and individual problems for the learner to solve the fractional number operations as this study. This study is the design and implementation of ITS on the fractional number addition and subtraction for the supplementary student. Our system can diagnosis mistakes of learning and guide the student to know their errors of learning process automatically And our system assist the learners to study with self-initiative learning, replacement their lacking of learning and control the process of fractional addition and subtraction operation with creativity according to their level. We showed that this system had improved problems of lacking care to supplementary student result in are not enough teachers involved their school and that the learner had achieved the higher learning effect according to the improved self-initiative learning causing this system.

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A Diagnostic Study on High School Students' Health and Quality of Life - Based on the PRECEDE model - (고등학생의 건강 및 삶의 질에 대한 진단적 연구 - PRECEDE 모형을 근간으로 -)

  • Yoo Jae-Soon;Hong Yeo-Shin
    • The Journal of Korean Academic Society of Nursing Education
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    • v.3
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    • pp.78-98
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    • 1997
  • Health education, as the most fundamental concept for national health promotion, alms for developing the self-care ability of the general public. High school days are regarded as the period when most important physical, mental and social developments occur, and most health-related behaviors are formed. School health education is one of the major learning resources influencing health potential in the home and community as well as for the individual student. High school health education in Korea has a fundamental systemic flaw in that health-related subjects are divided and taught under various subjects areas at school. In order to achieve the goal of school health education, it is essential to make a systematic assessment of the learner's concerns connected with his health and life, and the factors affecting them. So far, most of the research projects that had been carried out for improving high school health education were limited in their concerns to a particular aspect of health. Even though some had been done in view of comprehensive school health education, they failed to Include a health assessment of the learner. Therefore, in this study the high school students' concerns related to health and life were investigated in the first place on the basis of the PRECEDE model, developed by Green and others for the purpose of a comprehensive diagnostic research on high school health education. This study was done in two steps : one was the basic study for developing research instrument and the other was the main one. The former was conducted at five high schools in Seoul and Cheongju for 2 months-beginning in March, 1996. The students were asked to respond to questions related to their health and lives in unstructured open-ended question forms. On the basis of analysis of the basic study, the diagnostic instruments for the quality of life, health problems, health behavior and educational factors were constructed to be used for the collection of data for main study. An expert panel and the pilot study were used to improve content validity and reliability of the instruments. The reliability of the instruments was measured at between .7697 and .9611 by the Cronbach $\alpha$. The data for this study were collected from the sample consisted of the junior and senior classes of twenty general and vocational high schools in Seoul and Cheongju for two months period beginning in July, 1996. In analyzing the data, both t-test and $X^2$-test were done by using SAS-$PC^+$ Program to compare data between the sexes of the high school students and the types of high school. A canonical correlation analysis was carried out to determine the relationships among the diagnostic variables, and a multivariate multiple regression analysis was conducted by using LISREL 8.03 to ascertain the influences of variables on the high school students' health and quality of life. The results were as follows : 1) The findings of the hypothesis tests (1) The canonical correlation between the educational diagnosis variables and behavioral, epidemiological, social diagnosis variables was .7221, which was significant at the level of p<.001. (2) The canonical correlation between the educational diagnosis variables and the behavior variables was .6851, which also was significant (p<.001). (3) The canonical correlation between the behavioral diagnosis variables and the epidemiological variables was 4295, which was significant (p<.001). (4) The canonical correlation between the epidemiological diagnosis variables and the social variables was .6005, which was also significant (p<.001). Therefore, the relationship between each diagnosis variable suggested by the PRECEDE model had been experimentally proven to be valid, supporting the conceptual framework of the study as appropriate for assessing the multi-dimensional factors affecting high school students' health and quality of life. Health behavior self-efficacy, the level of parents' interest and knowledge of health, and the level of the perception of school health education, all of which are the educational diagnostic variables, are the most influential variables in students' health and quality of life. In particular, health behavior self-efficacy, a causative factor, was one of the main influential variables in their health and quality of life. Other diagnostic variables suggested in the steps of the PRECEDE model were found to have reciprocal relations rather than a unidirectional causative relationship. The significance of this research is that it has diagnosed the needs of high school health education by the learner-centered assessment of variety of factors related to the health and the life of the students. This research findings suggest an integrated system of school health education to be contrived to enhance the effectiveness of the education by strengthening the influential factors such as self-efficacy to improve the health and quality of the lives of high school students.

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A Model for Constructing Learner Data in AI-based Mathematical Digital Textbooks for Individual Customized Learning (개별 맞춤형 학습을 위한 인공지능(AI) 기반 수학 디지털교과서의 학습자 데이터 구축 모델)

  • Lee, Hwayoung
    • Education of Primary School Mathematics
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    • v.26 no.4
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    • pp.333-348
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    • 2023
  • Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

A Personalized English vocabulary learnin g system based on cognitive abilities relat ed to foreign language proficiency

  • Kwon, Dai-Young;Lim, Heui-Seok;Lee, Won-Gyu;Kim, Hyeon-Cheol;Jung, Soon-Young;Suh, Tae-Weon;Nam, Ki-Chun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.4
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    • pp.595-617
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    • 2010
  • This paper proposes a novel of a personalized Computer Assisted Language Learning (CALL) system based on learner's cognitive abilities related to foreign language proficiency. In this CALL system, a strategy of retrieval learning, a method of learning memory cycle, and a method of repeated learning are applied for effective vocabulary memorization. The system is designed to offer personalized learning based on cognitive abilities related to the human language process. For this, the proposed CALL system has a cognitive diagnosis module which can measure five types of cognitive abilities. The results of this diagnosis are used to create dynamic learning scenarios for personalized learning and to evaluate user performance in the learning. This system is also designed in order to have users be able to create learning word lists and to share them simply with various functions based on open APIs. Additionally, through experiments, it has shown that this system helps students to learn English vocabulary effectively and enhances their foreign language skills.

Using Cognitive Diagnosis Theory to Analyze the Test Results of Mathematics (수학 평가 결과의 분석을 위한 인지 진단 이론의 활용)

  • Kim, Sun-Hee;Kim, Soo-Jin;Song, Mi-Young
    • School Mathematics
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    • v.10 no.2
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    • pp.259-277
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    • 2008
  • Conventional assessments only provide a single summary score that indicates the overall performance level or achievement level of a student in a single learning area. For assessments to be more effective, test should provide useful diagnostic information in addition to single overall scores. Cognitive diagnosis modeling provides useful information by estimating individual knowledge states by assessing whether an examinee has mastered specific attributes measured by the test(Embretson, 1990; DiBello, Stout, & Rousses, 1995; Tatsuoka, 1995). Attributes are skills or cognitive processes that are required to perform correctly on a particular item. By the results of this study, students, parents, and teachers would be able to see where a student stands with respect to mastering the attributes. Such information could be used to guide the learner and teacher toward areas requiring more study. By being able to assess where they stand in regard to the attributes that compose an item, students can plan a more effective learning path to be desired proficiency levels. It would be very helpful to the examinee if score reports can provide the scale scores as well as the skill profiles. While the scale scores are believed to provide students' math ability by reporting only one score point, the skill profiles can offer a skill level of strong, weak or mixed for each student for each skill.

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Academic Interests of Korean Students: Description, Diagnosis, & Prescription (한국 학생의 학업에 대한 흥미: 실태, 진단 및 처방)

  • Sung-il Kim;Misun Yoon;Yeon-hee So
    • Korean Journal of Culture and Social Issue
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    • v.14 no.1_spc
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    • pp.187-221
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    • 2008
  • Although academic interest, the intersection of cognition, emotion, and motivation, is a primary goal of learning and mediates the effects of learning, the present learning environment is full of impeding factors which undermine learner's interests in learning situation. The purpose of this study is to examine current state of academic interests of Korean students and to identify several potential causes of developmental declines in academic interests. It has been consistently found that academic interests in various school subjects decrease with age and grade in school. Three potentially contributing factors to the observed loss of academic interests are mainly discussed: deprived autonomy, severe competition, and normative evaluation. Based on theories on interest and motivation, and empirical findings, various prescriptions are also suggested for designing an interest-based learning environment in order to trigger and enhance learner's academic interests.

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A Survey Study on the Learner's Recognition about the Descending Life Lines for the Fire Emergency Escaping Purpose (소방용 완강기에 대한 학습자의 인식 조사 연구)

  • Lee, Wonjoo;Lee, Chang-Seop
    • Fire Science and Engineering
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    • v.32 no.2
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    • pp.73-81
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    • 2018
  • The purpose of this study is to survey the learner's recognition about the descending life lines for the fire emergency escaping purpose (DLL-FEEP). For that, we surveyed 307 adult males and females in Chungcheongnam-do, Daejeon metropolitan city, and Sejong metropolitan autonomous city. The surveyed data was statistically analyzed by SPSS 20.0 win program. In the results, 72.64% research participates have received a fire safety education. However, among them, 39.46% research participates have received a fire safety education without the contents of the DLL-FEEP. The style of the education for the DLL-FEEP is mainly the instructor-led training which is 79.26%. The 81.43% research participates have never used a DLL-FEEP. Based on the results in this study, the political proposal based on these results was as follows. We think that the expansion of the educational contents for the DLL-FEEP need in the fire safety education. We believe that results of this paper will help to serve as a basis for the efficient fire safety education with adults.