View in EDS

A Simple and Effective Remedial Learning System with a Fuzzy Expert System

Saved in:
Bibliographic Details
Title: A Simple and Effective Remedial Learning System with a Fuzzy Expert System
Language: English
Authors: Lin, C.-C, Guo, K.-H, Lin, Y.-C
Source: Journal of Computer Assisted Learning. Dec 2016 32(6):647-662.
Availability: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Peer Reviewed: Y
Page Count: 16
Publication Date: 2016
Document Type: Journal Articles
Reports - Research
Education Level: High Schools
Secondary Education
Descriptors: Remedial Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Electronic Learning, Vocational High Schools, High School Students, Foreign Countries, Problem Based Learning, Instructional Materials, Pretests Posttests, Instructional Effectiveness, High Achievement, Low Achievement
Geographic Terms: Taiwan
DOI: 10.1111/jcal.12160
ISSN: 0266-4909
Abstract: This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate the success of the proposed system where 88 students who studied a computer-related program at a vocational high school in Taiwan participated in the experiment. The participating students came from three different types of classes. The fuzzy expert system determined the numbers of the remedial material units according to the scores of the pre-test. Based on the results of the fuzzy expert system, each student then received personalized remedial learning materials by randomly selecting problem-based learning units from a learning material repository. After reading the remedial learning materials, the students took the post-test. The experimental results reveal that the students made significant progresses after studying the remedial learning materials. Both of high-achieving students and low-achieving students made significant progresses. Moreover, all of the three types of students made significant progresses.
Abstractor: As Provided
Entry Date: 2016
Accession Number: EJ1119381
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1119381
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Simple and Effective Remedial Learning System with a Fuzzy Expert System
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lin%2C+C%2E-C%22">Lin, C.-C</searchLink><br /><searchLink fieldCode="AR" term="%22Guo%2C+K%2E-H%22">Guo, K.-H</searchLink><br /><searchLink fieldCode="AR" term="%22Lin%2C+Y%2E-C%22">Lin, Y.-C</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Computer+Assisted+Learning%22"><i>Journal of Computer Assisted Learning</i></searchLink>. Dec 2016 32(6):647-662.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 16
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2016
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Remedial+Instruction%22">Remedial Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+Tutoring+Systems%22">Intelligent Tutoring Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Vocational+High+Schools%22">Vocational High Schools</searchLink><br /><searchLink fieldCode="DE" term="%22High+School+Students%22">High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Based+Learning%22">Problem Based Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Materials%22">Instructional Materials</searchLink><br /><searchLink fieldCode="DE" term="%22Pretests+Posttests%22">Pretests Posttests</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22High+Achievement%22">High Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Low+Achievement%22">Low Achievement</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Taiwan%22">Taiwan</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/jcal.12160
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0266-4909
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate the success of the proposed system where 88 students who studied a computer-related program at a vocational high school in Taiwan participated in the experiment. The participating students came from three different types of classes. The fuzzy expert system determined the numbers of the remedial material units according to the scores of the pre-test. Based on the results of the fuzzy expert system, each student then received personalized remedial learning materials by randomly selecting problem-based learning units from a learning material repository. After reading the remedial learning materials, the students took the post-test. The experimental results reveal that the students made significant progresses after studying the remedial learning materials. Both of high-achieving students and low-achieving students made significant progresses. Moreover, all of the three types of students made significant progresses.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2016
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1119381
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1119381
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jcal.12160
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 647
    Subjects:
      – SubjectFull: Remedial Instruction
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Intelligent Tutoring Systems
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Vocational High Schools
        Type: general
      – SubjectFull: High School Students
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Problem Based Learning
        Type: general
      – SubjectFull: Instructional Materials
        Type: general
      – SubjectFull: Pretests Posttests
        Type: general
      – SubjectFull: Instructional Effectiveness
        Type: general
      – SubjectFull: High Achievement
        Type: general
      – SubjectFull: Low Achievement
        Type: general
      – SubjectFull: Taiwan
        Type: general
    Titles:
      – TitleFull: A Simple and Effective Remedial Learning System with a Fuzzy Expert System
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lin, C.-C
      – PersonEntity:
          Name:
            NameFull: Guo, K.-H
      – PersonEntity:
          Name:
            NameFull: Lin, Y.-C
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 0266-4909
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of Computer Assisted Learning
              Type: main
ResultId 1