List of Figures and Tables

In: Accelerating the Future of Higher Education
Editors:
Bruno Broucker
Search for other papers by Bruno Broucker in
Current site
Google Scholar
PubMed
Close
,
Clare Milsom
Search for other papers by Clare Milsom in
Current site
Google Scholar
PubMed
Close
,
James Calleja
Search for other papers by James Calleja in
Current site
Google Scholar
PubMed
Close
, and
Mark O’Hara
Search for other papers by Mark O’Hara in
Current site
Google Scholar
PubMed
Close
Free access
Figures
1.1 Model. 10
1.2 Task prompt. 12
2.1 Emergence of the university colleges for teacher education. 32
3.1 3D plots of the factor loadings of all items from all three questionnaires on the first three factors extracted according to the results of the PCA (UCB = blue, student engagement = red, social integration = orange). 54
3.2 Bivariate correlation coefficients between all variables included in the main analyses. 55
5.1 Expectancy theory. 83
6.1 Diagram of the multiple streams approach (from Jones et al., 2016, p. 15). 102
8.1 The KaWuM Competency Model for HE Managers in Germany (adapted from Stifterverband, 2018). 136
8.2 Code cloud of the coded competences in the 31 NWM interviews. 140
8.3 Skills required in German HE management: non-digital key competences. 141
8.4 Code cloud of coded specific communication requirements in HE management in the 31 NWM interviews. 143
8.5 HE-specific communication Items in KaWuM Survey 2. 144
8.6 Digital competences in HE management. 145
8.7 Required skills in German HE management: (HE) administrative competences. 146
8.8 Skills required in German HE management: area-specific. 148
8.9 Comparison of competence relevance for HE managers with and without leadership function – Order according to mean difference. 149
8.10 Elective modules in the Master’s programmes of the universities of Speyer, Osnabrück and Oldenburg. 150
10.1 5-year trend of student satisfaction and survey response rates at UJ. 175
10.2 Student experience with lecturers in 2020 and 2021. 176
10.3 Sources of data for academic purposes. 179
10.4 Preferred teaching and learning mode in the future post COVID-19 pandemic. 180
11.1 A typology of HE systems based on institutional governing bodies. 191
11.2 The evolution of Hungarian higher education governing bodies. 195
Tables
1.1 Descriptive statistics of individual characteristics and independent variables. 13
1.2 Need for cognition scale referring to Beißert et al. (2014). 13
1.3 Need for cognitive closure scale referring to Schlink and Walther (2007). 14
1.4 Information overload scale referring to Karr-Wisniewski and Lu (2010). 15
1.5 Media characteristics operationalization. 16
1.6 Linear regression of NFC and IO model and correctness of source assessment. 18
1.7 Linear regression of NFCC model and correctness of source assessment. 18
1.8 Linear regression of NFC/IO model and cue category. 19
1.9 Linear regression of NFCC model and cue category. 19
1.10 Linear regression of NFC/IO model and credibility index. 20
2.1 Descriptives on the perceived influence. 36
2.2 Assessment of institutional management – Communication. 37
2.3 Assessment of institutional management – Profile of the institution. 38
2.4 Internal control and personnel decisions. 39
2.5 Results of a binary logistic regression analysis. 40
3.1 Demography of the samples in study 1 and study 2. 51
3.2 Mean, standard deviation and internal consistence for study 1 and study 2 for all relevant variables. 56
3.3 Loadings from the PCA for study 1 and study 2. 57
4.1 Overview of activity areas. 71
5.1 Professors by HEI type and subject. 84
5.2 Number of professors with a high, medium or low willingness to enter into cooperative innovations. 86
5.3 Motives for entering into cooperative innovations (number of mentions). 88
5.4 Case studies contribution to the research questions. 94
7.1 Main comparative results. 123
7.2 Faculty units results (3 years with contracts). 124
8.1 Administrative law modules and the learning objectives taught therein in the Master’s programmes of the universities of Speyer, Osnabrück and Oldenburg. 147
9.1 Participant demographics. 158
11.1 The characterization of three ideal types of governance. 188
11.2 The development of the governance of Hungarian higher education. 194
  • Collapse
  • Expand