• Title/Summary/Keyword: web based diagnostic-formative evaluation

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Investigation on the Web Based Diagnostic - Formative Evaluation System for Mathematics Education (수학교육을 위한 웹 기반 진단-형성평가 시스템의 개발과 활용)

  • 유병훈;강수구
    • The Mathematical Education
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    • v.42 no.5
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    • pp.673-682
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    • 2003
  • In this paper, we studied how to organize and develop a web based diagnostic-formative evaluation system. We investigated the interest of students about the system and analyze their scores after we applied this system to 10-th grade students for 10 months.

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Development and Formative Evaluation of Web-based Contents for Engineering Mathematics Based on a Computer Algebra System (컴퓨터 대수 시스템 기반의 이공계 수학용 웹 콘텐츠 개발과 형성 평가)

  • Jun, Young-Cook;Kim, Jin-Young;Kwon, Sun-Kweol;Heo, Hee-Ok
    • Journal of the Korean School Mathematics Society
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    • v.10 no.1
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    • pp.27-43
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    • 2007
  • The aim of this paper is to develop a web-based learning system in order to motivate college students in the area of science and engineering to study college calculus. We designed and developed web-based contents, named MathBooster, using Mathematica, webMathematica and phpMath taking advantages of rapid computation and symbolic computation. The features of MathBooster consists of four parts: graphical representation of calculus concepts, textual illustrations of conceptual understanding, example-based step-by-step learning with phpMath, and quizzes with diagnostic feedback. After the MathBooster was practiced with engineering students, the formative evaluation was conducted with survey items composed in four categories: user responses, screen layout, practicing examples and diagnostic feedback in solving quizzes. The overall level of user satisfaction was statistically measured using SPSS. Those results indicate which parts of MathBooster are needed for future enhancement.

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Development of a CAS-Based Virtual Learning System for Personalized Discrete Mathematics Learning (개인 적응형 이산 수학 학습을 위한 CAS 기반의 가상 학습 시스템 개발)

  • Jun, Young-Cook;Kang, Yun-Soo;Kim, Sun-Hong;Jung, In-Chul
    • Journal of the Korean School Mathematics Society
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    • v.13 no.1
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    • pp.125-141
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    • 2010
  • The aim of this paper is to develop a web-based Virtual Learning System for discrete mathematics learning using CAS (Computer Algebra System), The system contains a series of contents that are common between secondary und university curriculum in discrete mathematics such as sets, relations, matrices, graphs etc. We designed and developed web-based virtual learning contents contained in the proposed system based on Mathematia, webMathematica and phpMath taking advantages of rapid computation and visualization. The virtual learning system for discrete math provides movie lectures and 'practice mode' authored with phpMath in order to enhance conceptual understanding of each movie lesson. In particular, matrix learning is facilitated with conceptual diagram that provides interactive quizzes. Once the quiz results are submitted, Bayesian inference network diagnoses strong and weak parts of learning nodes for generating diagnostic reports to facilitate personalized learning. As part of formative evaluation, the overall responses were collected for future revision of the system with 10 university students.

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Development of an Adaptive e-Learning System for Engineering Mathematics using Computer Algebra and Bayesian Inference Network (컴퓨터 대수와 베이지언 추론망을 이용한 이공계 수학용 적응적 e-러닝 시스템 개발)

  • Park, Hong-Joon;Jun, Young-Cook
    • The Journal of the Korea Contents Association
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    • v.8 no.5
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    • pp.276-286
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    • 2008
  • In this paper, we introduce an adaptive e-Learning system for engineering mathematics which is based on computer algebra system (Mathematica) and on-line authoring environment. The system provides an assessment tool for individual diagnosis using Bayesian inference network. Using this system, an instructor can easily develop mathematical web contents via web interface. Examples of such content development are illustrated in the area of linear algebra, differential equation and discrete mathematics. The diagnostic module traces a student's knowledge level based on statistical inference using the conditional probability and Bayesian updating algorithm via Netica. As part of formative evaluation, we brought this system into real university settings and analyzed students' feedback using survey.