Qualitative Analyse digitaler Bildungsmaßnahmen der Beruflichen Orientierung
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Abstract
„Lehrpersonen setzen neben traditionellen Materialien zunehmend digitale Bildungsangebote ein. Eine systematische Recherche von Tuchscherer und Wiepcke (i. E.) zeigt, dass die digitalen Maßnahmen der Beruflichen Orientierung in Hinblick auf den Medientyp sehr ausdifferenziert sind und von Informationsangeboten auf Internetplattformen, Kompetenztests bis hin zu gamifizierten Lösungen in Bezug auf die Darstellungen von Arbeitsplätzen oder Betriebspraktika reichen. Die digitalen Medientypen gehen mit Potenzialen einher, indem sowohl digitale Kompetenzbereiche wie auch Kompetenzbereiche der Beruflichen Orientierung adressiert werden können. Neben den angeführten Chancen ist festzustellen, dass viele Angebote keiner Qualitätssicherung unterliegen. Daher gilt es, digitale Maßnahmen der Beruflichen Orientierung anhand von Qualitätskriterien zu beurteilen. Der Beitrag geht der Frage nach, welche Qualitätskriterien digitaler Bildungsmaßnahmen für eine Beurteilung heranzuziehen sind und ob die digitalen Bildungsmaßnahmen in der Beruflichen Orientierung diesen Qualitätskriterien entsprechen. Die Ergebnisse, welche mithilfe einer strukturierenden Qualitativen Inhaltsanalyse nach Mayring (2023) hervorgebracht wurden, zeigen, dass 64,9 % der abgeleiteten Qualitätskriterien durch die digitalen Angebote erfüllt, 35,1 % bedingt erfüllt werden. Darüber hinaus wurde festgestellt, dass der Großteil der vorher definierten Kriterien eine gute Anwendbarkeit ermöglicht.“ (Autorenreferat; BIBB-Doku)
„Teachers and students are increasingly using digital educational offerings alongside traditional materials. Systematic research by Tuchscherer and Wiepcke (i. E.) shows that the digital measures of vocational orientation are very differentiated in terms of media type and range from information offers on internet platforms, competence tests, to gamified solutions in relation to the presentation of workplaces or company internships. The digital media types are accompanied by potentials in that digital competence areas as well as competence areas of career guidance can be addressed. In addition to the potential, it should be noted that many offers are not subject to quality assurance. It is therefore important to assess digital professional orientation measures on the basis of quality criteria. This article examines the question of which quality criteria of digital educational measures should be used for an assessment and whether the digital educational measures in career orientation meet these quality criteria. The results, which were produced with the help of a structured qualitative content analysis according to Mayring (2023), show that 64.9% of the derived quality criteria are met and 35.1% are conditionally met. In addition, it was found that the majority of the previously defined criteria enable good applicability.“ (authors‘ abstract; BIBB-Doku)
„Teachers and students are increasingly using digital educational offerings alongside traditional materials. Systematic research by Tuchscherer and Wiepcke (i. E.) shows that the digital measures of vocational orientation are very differentiated in terms of media type and range from information offers on internet platforms, competence tests, to gamified solutions in relation to the presentation of workplaces or company internships. The digital media types are accompanied by potentials in that digital competence areas as well as competence areas of career guidance can be addressed. In addition to the potential, it should be noted that many offers are not subject to quality assurance. It is therefore important to assess digital professional orientation measures on the basis of quality criteria. This article examines the question of which quality criteria of digital educational measures should be used for an assessment and whether the digital educational measures in career orientation meet these quality criteria. The results, which were produced with the help of a structured qualitative content analysis according to Mayring (2023), show that 64.9% of the derived quality criteria are met and 35.1% are conditionally met. In addition, it was found that the majority of the previously defined criteria enable good applicability.“ (authors‘ abstract; BIBB-Doku)
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