Monitor Digital Education - Job Training in Digital Age - Training Employers

Resource Type
Dataset : Survey and aggregate data
  • Schmid, Ulrich; Goertz, Lutz; Behrens, Julia; Bertelsmann Stiftung, Gütersloh
Publication Date
  • Schmid, Ulrich (mmb Institut - Gesellschaft für Medien- und Kompetenzforschung, Essen) (Researcher)
  • Goertz, Lutz (mmb Institut - Gesellschaft für Medien- und Kompetenzforschung, Essen) (Researcher)
  • Behrens, Julia (Bertelsmann Stiftung, Gütersloh) (Researcher)
  • mmb Institut - Gesellschaft für Medien- und Kompetenzforschung, Essen (Data Collector)
  • GESIS (Distributor)
  • GESIS (Hosting Institution)
  • ZA:
    • Work and Industry
    • Education, School Systems
    • Technology, Energy
    • Communication, Public Opinion, Media
  • CESSDA Topic Classification:
    • Teaching profession
    • Vocational education
    • Information society
    • Mass media
    • Computer and simulation programs
    • Teaching packages and test datasets
    • Information technology
    • Labour and employment
Free Keywords
Schema: TheSoz
firm training apprentices; vocational education; electronic learning; technical equipment; teaching aids; curriculum contents; networking; advanced vocational education; instructor
  • Abstract

    For the first time, the monitor digital education provides a comprehensive and representative empirical data base on the status of digitalized learning in the various educational sectors in Germany - school, job training, university and further training.
Temporal Coverage
  • 2015-10-06 / 2015-12-15
Geographic Coverage
  • Germany (DE)
Sampled Universe
Training Employers in companies that are currently looking after trainees or who have taken care of trainees up to two years ago. A Training Employer is responsible for the trainees according to the Instructor´s Training Ordinance (AEVO or AusbEignV) and for the training in the company as a whole. The respective company must be an apprenticeship company, employ at least one trainee and train according to a valid training system.
Mixed probability and non-probability; Sampling Procedure Comment: Combination of Probability and Non-probability Sample Probability Sample: Stratified Sample Non-probability Sample: Quota Sample
Time Dimension
  • Cross-section
Collection Mode
  • Telephone interview: CATI
  • Telephone interview: CATI (Computer Assisted Telephone Interview)
Data and File Information
  • Number of Variables: 285
A - Data and documents are released for academic research and teaching.
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Alternative Identifiers
  • ZA6751 (Type: ZA-No.)
  • 1 (Type: VerbundFDB)
  • 01.08.2016 durch die Bertelsmann Stiftung

Update Metadata: 2020-10-21 | Issue Number: 23 | Registration Date: 2016-08-22