• Title/Summary/Keyword: Learner diagnosis

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A Design and Implementation of Learner Diagnosis System of mathematics for Elementary School Students Individualized Learning (초등수학의 개별학습을 위한 학습자 진단 시스템의 설계 및 구현)

  • Hur, Jung-Won;Kim, Kap-Su
    • Journal of The Korean Association of Information Education
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    • v.6 no.1
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    • pp.1-12
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    • 2002
  • The purpose of this paper is to design and implement a LED (LEarner Diagnosis system). Mathematics which has learning hierarchies is difficult to learn, if learners don't understand previous learning contents. Before a learner starts learning, the LED offers diagnostic problems to diagnose the learner's understanding ability of the previous learning contents. If the learner don't understand it, then the LED present supplementary contents. After finishing the study, the learner has to pass the test to diagnose whether the learner do mastery learning. The LED makes learners do supplement previous contents, if learners don't understand it, and master all of the contents, learners can achieve learning object.

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A Study on Learner Modeling Technology and Applications for Intelligent Tutoring Systems (지능형 교육 시스템을 위한 학습자 모델 기술과 응용 연구)

  • Yoon, Taebok;Lee, Jee-Hyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6455-6460
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    • 2013
  • Learner modeling forms the foundations for intelligent tutoring systems that provide adaptive and active learning guidance for learning and education quality enhancement. The aim of this study was to develop learner modeling technologies to form the foundation of intelligent tutoring systems. Specific research tasks include learner modeling building techniques, diverse learner state diagnosis methods and educational data mining.

An Example-Based Engligh Learing Environment for Writing

  • Miyoshi, Yasuo;Ochi, Youji;Okamoto, Ryo;Yano, Yoneo
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.292-297
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    • 2001
  • In writing learning as a second/foreign language, a learner has to acquire not only lexical and syntactical knowledge but also the skills to choose suitable words for content which s/he is interested in. A learning system should extrapolate learner\\`s intention and give example phrases that concern with the content in order to support this on the system. However, a learner cannot always represent a content of his/her desired phrase as inputs to the system. Therefore, the system should be equipped with a diagnosis function for learner\\`s intention. Additionally, a system also should be equipped with an analysis function to score similarity between learner\\`s intention and phrases which is stored in the system on both syntactic and idiomatic level in order to present appropriate example phrases to a learner. In this paper, we propose architecture of an interactive support method for English writing learning which is based an analogical search technique of sample phrases from corpora. Our system can show a candidate of variation/next phrases to write and an analogous sentence that a learner wants to represents from corpora.

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(A Study on Intelligent Distance Learning) (실시간 지능형 원격교육에 관한 연구)

  • 황보택근;홍기천
    • Journal of the Korea Computer Industry Society
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    • v.3 no.9
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    • pp.1157-1166
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    • 2002
  • Current distance loaming or cyber teaming offers learner the same level of contents regardless of learner's degree of understanding and the progress of learning also may be controlled by learner freely. In this paper we improve the several problems of distance teaming and cyber learning, and propose new real-time intelligent distance learning. First, we provide learners with the contents of lectures that are appropriate to learner's level. After that we analyze md judge the degree of understanding of learners, the results are informed to instructors for further uses. Due to the diagnosis result instructors know the frail part of learners and let them understand that, and highlight the efficiency of learning. Session with instructor and learner is performed with multimedia communication using Internet, and all the educational materials are shared by instructor and learner at the same time.

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Web-based individual adaptive testing system considering partial score (부분점수를 고려한 웹 기반 학습자 개별적응 평가시스템)

  • Kim, So-Youn;Hong, Euy-Seok
    • The Journal of Korean Association of Computer Education
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    • v.9 no.2
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    • pp.69-78
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    • 2006
  • Educational evaluation is not the work to rank learners hierarchically, but the thing to increase the educational effectiveness by solving a learner's problem and improving the education process from the proper evaluation. The conventional evaluation systems have measured a learner's recognition level by dichotomy. Although they support the evaluation depending on a learner's academic ability and supply the feedback for wrong selection, it is insufficient to take out study-motive and give the establishment for a guidance point of learning. In this paper, we propose the web-based individual adaptive testing system in considering partial score for a learner. Our system are effective to estimate the ability of learner by considering partial score in detail and offer an feedback study from the self-diagnosis function for a learning results.

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Exploration of Duty System and Needs Assessment in Lifelong Learning Counseling Practice (평생교육 담당자의 평생학습상담 직무 탐색 및 요구도 분석)

  • Jo, Eun-San;Yun, Myung-Hee;Ku, Kyung-Hee
    • Journal of vocational education research
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    • v.35 no.6
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    • pp.65-84
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    • 2016
  • This study aims to explore the duty system of the lifelong learning counseling, and to analyze the needs of counseling practice which are conceived by lifelong education practitioners. Based on the related prior studies, the duty system of lifelong learning counseling was investigated and classified. Also, differences of how to recognize the importance of counseling job and how to practice counseling are assessed by Borich method. After data were collected by practitioners from lifelong education field, the dependent t-test and the Borich needs assessment formula were used for analysis of the collected data. The results are as follows: the 4 subdivided duties of lifelong learning counseling are formation of relationship, learner's analysis, learning promotion, and follow-up management. The 11 tasks are learner's interview, providing learning information, analysis of learner's characteristics and needs, learning level diagnosis, diagnosis of learning inhibiting factors, promotion of learning motivation, advice of learning course and learning method, support of study circle activity, career planning counseling, follow-up counseling, and counseling evaluation. According to the needs assessment, learner's analysis is conceived as the most important duty among the 4 sub-duties, and learner's analysis is regarded as second important duty by the counseling practitioners. Among the 11 tasks, providing learning information is the most important tasks among counseling practitioners, and analysis of learner's characteristics and needs is followed as second task. The duty system of the lifelong learning counseling and needs assessment data can be used as the basic data for lifelong education practitioners to conduct the duty of lifelong learning counseling efficiently and to support the lifelong learning plan according to learner's characteristics.

Perceptions of preservice teachers on AI chatbots in English education

  • Yang, Jaeseok
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.44-52
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    • 2022
  • With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

The Development of On-line Self-Test Module using Tracing Method (학습자 트레이싱을 통한 원격 교육용 자가 진단 모듈 개발)

  • Lee, Kyu-Su;Son, Cheol-Su;Park, Hong-Joon;Sim, Hyun;Oh, Jae-Chul
    • The KIPS Transactions:PartA
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    • v.19A no.3
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    • pp.147-154
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    • 2012
  • The higher thinking skills, such as creativity and problem-solving about a given problem, are difficult to assess and diagnose. For an accurate diagnosis of these higher thinking abilities, we need to fully observe learner's problem-solving process or learner's individual reports. However, in an online learning or virtual class environments, evaluation of learner's problem-solving process becomes more difficult to diagnose. The best way to solve this problem is through reporting by tracking learner's actions when he tries to solve a problem. In this study, we developed a module which can evaluate and diagnose student's problem-solving ability by tracking actions in MS-Office suite, which is used by students to solve a given problem. This module performs based on the learner's job history through user tracking. To evaluate the effectiveness of this diagnostic module, we conducted satisfaction survey from students who were preparing the actual MOS exams. As a result, eighty-one (81) of the participants were positive on the effectiveness of the learning system with the use of this module.

Reconstruction of e-Learning Contents based on Web 2.0, and the Level Diagnosis (Web 2.0 기반 e-러닝 콘텐츠 재구성 및 수준 진단)

  • Lim, Yang-Won;Lim, Han-Kyu
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.429-437
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    • 2010
  • As Web technology and functions have recently changed to a user-focused paradigm, new studies are being conducted to construct dynamic learning content that enables the learner's participation and continuous learning in the field of e-learning research and design. This paper covers a study on the degree of difficulty in learner-focused dynamic learning contents to provide efficient learning environments for its adaptation to e-learning 2.0. This study suggests DLA (Dynamic Level Adjustment) to provide learner-focused contents. The suggested system will be a guideline to control and adopt learning content that can be easily applied to the environmental change, and more in-depth future research can be performed by using the system. A dynamic learning content model was made to recognize various learning patterns of learners as a result of the performance evaluation.

Design of Online Assessment Item Management System (온라인 평가 문항 관리 시스템의 설계)

  • Lee, Youngseok;Cho, Jungwon
    • The Journal of Korean Association of Computer Education
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    • v.15 no.6
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    • pp.33-41
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    • 2012
  • This paper presents the online assessment questions management system and method. The proposed system consists of a database to store learner information and zone-specific items grouped by difficulty and item bank. This database includes: an item selection department and authoring assessment to select questions about a particular learner or specific learning item. In this paper, we propose: an item bank database which stores online output assessments; and an online test department to collect and sort learner evaluation data and answer selection order for online tests, click statistics, response time, and analysis unit response patterns department by analyzing the data collected by the online learners' test assessment, learners' level and ability, the diagnosis and assessment of report propensity. The proposed system will diagnose and effectively evaluate the learner's learning levels and learning ability by: answer selection order, number of clicks, and response time reflected in the results of the learners' evaluations.

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