View in EDS

CARIA: A Personalized Career Recommender Based on Individual Competency Similarity Measure

Saved in:
Bibliographic Details
Title: CARIA: A Personalized Career Recommender Based on Individual Competency Similarity Measure
Language: English
Authors: Supaluck Seesukong, Thara Angskun, Nantapong Keandoungchun, Atitthan Thippongtorn, Jitimon Angskun
Source: International Journal of Information and Communication Technology Education. 2024 20(1).
Availability: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Peer Reviewed: Y
Page Count: 24
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Career Choice, Career Information Systems, Career Pathways, Career Readiness, Employment Potential, Job Skills, Information Technology, Communications, Computer Software Evaluation, Computer Software Selection, Minimum Competency Testing, Students, Computer Assisted Testing
DOI: 10.4018/IJICTE.356499
ISSN: 1550-1876
1550-1337
Abstract: The purpose of this research is to create a personalized system called CARIA that suggests career recommendations based on students' competencies and the required skills in each career. The focus of this study is on digital technology and digital media careers. The personalized career recommender system uses a novel similarity measure called modified Euclidean similarity to evaluate its performance and compare it with other similarity measures, machine learning, and GPT-4 techniques. The experimental results showed that modified Euclidean similarity achieved a precision@10 score of 0.83, which outperformed other techniques. The main objective of CARIA is to provide students with suitable career paths and conduct a competency gap analysis. This helps students choose a career path that fits their abilities. This research contributes to education in digital technology, digital media, and the workforce by providing employees with competencies that align with their needs.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1455347
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1455347
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: CARIA: A Personalized Career Recommender Based on Individual Competency Similarity Measure
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Supaluck+Seesukong%22">Supaluck Seesukong</searchLink><br /><searchLink fieldCode="AR" term="%22Thara+Angskun%22">Thara Angskun</searchLink><br /><searchLink fieldCode="AR" term="%22Nantapong+Keandoungchun%22">Nantapong Keandoungchun</searchLink><br /><searchLink fieldCode="AR" term="%22Atitthan+Thippongtorn%22">Atitthan Thippongtorn</searchLink><br /><searchLink fieldCode="AR" term="%22Jitimon+Angskun%22">Jitimon Angskun</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Information+and+Communication+Technology+Education%22"><i>International Journal of Information and Communication Technology Education</i></searchLink>. 2024 20(1).
– Name: Avail
  Label: Availability
  Group: Avail
  Data: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 24
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2024
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Career+Choice%22">Career Choice</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Information+Systems%22">Career Information Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Pathways%22">Career Pathways</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Readiness%22">Career Readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Employment+Potential%22">Employment Potential</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Skills%22">Job Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Technology%22">Information Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Communications%22">Communications</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software+Evaluation%22">Computer Software Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software+Selection%22">Computer Software Selection</searchLink><br /><searchLink fieldCode="DE" term="%22Minimum+Competency+Testing%22">Minimum Competency Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Students%22">Students</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Testing%22">Computer Assisted Testing</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.4018/IJICTE.356499
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1550-1876<br />1550-1337
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The purpose of this research is to create a personalized system called CARIA that suggests career recommendations based on students' competencies and the required skills in each career. The focus of this study is on digital technology and digital media careers. The personalized career recommender system uses a novel similarity measure called modified Euclidean similarity to evaluate its performance and compare it with other similarity measures, machine learning, and GPT-4 techniques. The experimental results showed that modified Euclidean similarity achieved a precision@10 score of 0.83, which outperformed other techniques. The main objective of CARIA is to provide students with suitable career paths and conduct a competency gap analysis. This helps students choose a career path that fits their abilities. This research contributes to education in digital technology, digital media, and the workforce by providing employees with competencies that align with their needs.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1455347
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1455347
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.4018/IJICTE.356499
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
    Subjects:
      – SubjectFull: Career Choice
        Type: general
      – SubjectFull: Career Information Systems
        Type: general
      – SubjectFull: Career Pathways
        Type: general
      – SubjectFull: Career Readiness
        Type: general
      – SubjectFull: Employment Potential
        Type: general
      – SubjectFull: Job Skills
        Type: general
      – SubjectFull: Information Technology
        Type: general
      – SubjectFull: Communications
        Type: general
      – SubjectFull: Computer Software Evaluation
        Type: general
      – SubjectFull: Computer Software Selection
        Type: general
      – SubjectFull: Minimum Competency Testing
        Type: general
      – SubjectFull: Students
        Type: general
      – SubjectFull: Computer Assisted Testing
        Type: general
    Titles:
      – TitleFull: CARIA: A Personalized Career Recommender Based on Individual Competency Similarity Measure
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Supaluck Seesukong
      – PersonEntity:
          Name:
            NameFull: Thara Angskun
      – PersonEntity:
          Name:
            NameFull: Nantapong Keandoungchun
      – PersonEntity:
          Name:
            NameFull: Atitthan Thippongtorn
      – PersonEntity:
          Name:
            NameFull: Jitimon Angskun
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 1550-1876
            – Type: issn-electronic
              Value: 1550-1337
          Numbering:
            – Type: volume
              Value: 20
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: International Journal of Information and Communication Technology Education
              Type: main
ResultId 1