Competence development and learning assistance systems for the data-driven future

Autor: Alexander Rokoss, Matthias Schmidt, Kathrin Kramer
Rok vydání: 2021
Předmět:
DOI: 10.30844/wgab_2021
Popis: The continuous acquisition of new digital competences and the development of situational learning assistance systems will become more important than ever in the coming years, because the world of work is becoming more complex, more informative and all above more data-driven. Jobs are changing due to increasing digitalisation, whereby the use of modern technologies must be designed in a way, that employees can continue to work productively in the company despite these changes and benefit purposefully from digital solutions. The research results presented under the main topic „Competence development and learning assistance systems for the data-driven future“ address this problem of state of the art technologies in the workplace and their effects on workers. The members of the Scientific Society for Work and Business Organisation (WGAB) present innovative concepts and research results for practitioners and scientists and thus provide valuable input for current challenges.
Databáze: OpenAIRE