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This study explores the role of previous occupational identity in the formation of the (new) teacher identity of vocational teachers. The focus is on how vocational teachers discover their teaching identity, how they describe the connection between their previous occupation and teacher identity and how they describe a competent member of the teaching community.

The theoretical approach is inspired by Communities of Practice (CoP) theory. More specifically, the realignment between socially demanded competence in the profession and personal experience as well as identification with the teaching community are discussed. The research material comes from 14 interviews with vocational teachers in different disciplines.

Findings indicate first that the process of professional identity (trans)formation was initiated by finding one's teaching self when the individuals became aware of their interest in teaching by discovering that they had already achieved some sort of teaching-related competence. Second, individuals had been connecting their professional identities – finding common competence between their previous occupation and the teaching role. Third, vocational teachers experienced legitimising their competence and their new identity with reference to what their new CoP instructed as important competence (regime of competence).

While teachers' vocational competence is not scrutinised, their teaching competence needs to be constantly proved. This imbalance often leads to teachers returning to an aspect of their identity that is well established – their vocational competence. Looking back to their occupational competences constitutes a realignment backwards, when teachers attempt to serve their new professional goal by drawing on old competence.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.