rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Developing an automated visualization platform to measure teachers' digital competency
  name:
    name part: Samsudin, Mohd
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Abdullah, Junaidi
    role:
      role term: author.
  name:
    name part: Abd Rahim, Shamimah, Parveen
    role:
      role term: author.
  name:
    name part: Ahmad, Nur Jahan
    role:
      role term: author.
  type of resource: text
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: This case study explains the research procedures of a study that measured teachers' digital competency using a questionnaire and used an automated visualization platform to suggest appropriate professional development training based on their level of competency. To achieve the goal, the process was started by developing standard indicators for digital competency that could be measured in the form of instruments. Subsequently, this case study shows how the framework and indicators can be linked to produce a pool of items that are used to measure the targeted variables. This case study also highlights the steps for the validation and pilot test of the questionnaire. Examples of psychometric terminologies are explained in this case study that can serve as a guideline for conducting a psychometric analysis of a questionnaire. This project provides a guide on how a measurement process can be linked to technology to produce an automated visualization platform for measuring teachers' digital competency. The technologies involved in the automated visualization are explained in terms of how it enables the collected data to be automatically transformed into a visualization for the purpose of decision making.
  target audience: specialized
  note: Mohd Samsudin, Junaidi Abdullah, Shamimah Parveen Abd Rahim and Nur Jahan Ahmad.
  subject:
    topic: Information visualization
    genre: Case studies
  subject:
    topic: Psychometrics
    topic: Data processing
    genre: Case studies
  subject:
    topic: Visualisation de l'information
    genre: Études de cas
  subject:
    topic: Information visualization
  subject:
    topic: Psychometrics
    topic: Data processing
  classification: QA76.9.I52 S26 2022
  classification: 001.4226
  related item:
    title info:
      title: SAGE research methods: doing research online
  identifier: 9781529604054
  identifier: 1529604052
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 220216
    record change date: 20240923170355.0
    record identifier: in00005495005
    language of cataloging:
      language term: eng