Vol. 48 No. 2 (2026)

					View Vol. 48 No. 2 (2026)

The open-topic issue 2026/2 of Beiträge zur Hochschulforschung is devoted to current issues from various areas of the higher education system – ranging from academic careers and university governance, through study and teaching, to digitalisation and equality.

A key focus is on the framework conditions for academic careers. The articles examine the design of tenure-track procedures at German universities, perceptions of fairness in selection and evaluation processes, and the importance of tandem mentoring for clinician scientists in the early stages of their careers. Further articles highlight the prerequisites necessary for empirical evidence to be utilised in the quality development of study programmes and teaching.

Furthermore, the focus is on current challenges in higher education and teaching. The study examines how issues relating to all-day primary schools are addressed in training programmes, as well as factors influencing the satisfaction of students training to become PE teachers. A Research Note also looks at the trend in the proportion of female professors at private and state universities of applied sciences.

A practical insight highlights changes in the use of digital media by first-year students in the context of generative AI tools. The issue concludes with a personal account by Dr Christoph Egle, spokesperson for the Executive Board of AHA – The Science Communication Hub and former director of the Bavarian Institute for Digital Transformation (bidt), in which he reflects on his professional career and his experiences at the intersection of science, politics and practice.

Published: 2026-10-06
Full Issue:

Note: Please use the current version of the respective article for citing, as in case of an update a new version can only be generated on article level, but not for the complete issue of the journal.

Title, Imprint and Table of Contents

Editorial

Research Article

Research Note

Insight Into Practice

Book Recommendations

Last but Not Least