Why the expected change did not happen: frictions between different logics of action when implementing recognition of prior learning for low-qualified workers

Switzerland sought to reform its VET system by introducing a Recognition of Prior Learning process designed to help low-qualified workers gain formal qualifications. Policy makers believed it would improve labour market opportunities for participants, increase the proportion of the population with post-compulsory education, and alleviate the shortage of skilled workers. Unfortunately, participation levels have been significantly below expectations (Luomi-Messerer 2024; Maurer 2019). It is important to decipher the structural reasons behind these numbers rather than assuming low-qualified workers failed to take advantage of a process designed to help them improve their situation (Cort, Mariager-Anderson, and Thomsen 2018). This paper applies policy mobilities and assemblage theory (PMAT) to analyse the gap between political intentions and actual utilisation, as suggested by Lewis and Spratt (2024). The analysis reveals that while RPL is highly mobile, the characteristics that enhance its mobility are precisely those that generate friction with the institutional logic of the Swiss VET system and hinder institutional change. The assemblage analysis reconstructs the friction points between the two elements and their logics of action more precisely, highlighting why RPL implementation has not fulfilled expectations.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2025-06-17
DOI
https://doi.org/10.5167/uzh-278544
Primary Topic
Higher Education Learning Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Why the expected change did not happen: frictions between different logics of action when implementing recognition of prior learning for low-qualified workers

Zurich Open Repository and Archive (University of Zurich)
Higher Education Learning Practices
article

Why the expected change did not happen: frictions between different logics of action when implementing recognition of prior learning for low-qualified workers

article en

Abstract

Switzerland sought to reform its VET system by introducing a Recognition of Prior Learning process designed to help low-qualified workers gain formal qualifications. Policy makers believed it would improve labour market opportunities for participants, increase the proportion of the population with post-compulsory education, and alleviate the shortage of skilled workers. Unfortunately, participation levels have been significantly below expectations (Luomi-Messerer 2024; Maurer 2019). It is important to decipher the structural reasons behind these numbers rather than assuming low-qualified workers failed to take advantage of a process designed to help them improve their situation (Cort, Mariager-Anderson, and Thomsen 2018). This paper applies policy mobilities and assemblage theory (PMAT) to analyse the gap between political intentions and actual utilisation, as suggested by Lewis and Spratt (2024). The analysis reveals that while RPL is highly mobile, the characteristics that enhance its mobility are precisely those that generate friction with the institutional logic of the Swiss VET system and hinder institutional change. The assemblage analysis reconstructs the friction points between the two elements and their logics of action more precisely, highlighting why RPL implementation has not fulfilled expectations.

Zurich Open Repository and Archive (University of Zurich)
Decent work and economic growth
Openalex Percentile: Top 47%
Higher Education Learning Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.