Anja Garone
Vrije Universiteit Brussel
10 Papers
Anja Garone is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Higher education & Computer science. The author has an hindex of 3, co-authored 4 publications.
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Papers
Experts speaking: Crucial teacher attributes for implementing blended learning in higher education
TL;DR: A holistic approach is utilizes a holistic approach to identify related teacher attributes that critically influence the implementation of blended learning in higher education.
233
Clustering University Teaching Staff through UTAUT: Implications for the Acceptance of a New Learning Management System.
Anja Garone,Bram Pynoo,Jo Tondeur,Celine Cocquyt,Silke Vanslambrouck,Bram Bruggeman,Katrien Struyven +6 more
TL;DR: This study investigates the technology acceptance profiles of university teaching staff, by using the UTAUT predictor variables as clustering variables, in the context of the implementation of a new learning management system (LMS).
111
The role of language skills and internationalization in nursing degree programmes: A literature review
Anja Garone,Piet Van de Craen +1 more
TL;DR: Although CLIL is becoming more widely accepted in many academic faculties, it has not yet been studied sufficiently in the nursing education context, presenting new challenges in nursing education concerning linguistic and transcultural preparation of students.
48
Exploring university teachers’ online education during COVID-19: Tensions between enthusiasm and stress
TL;DR: In this paper , the authors investigate how university teachers in a Belgian university experienced online education since the start of the COVID-19 pandemic and what exactly influences their experiences with online education.
47
Evaluating professional development for blended learning in higher education: a synthesis of qualitative evidence
TL;DR: In this paper , a systematic review of the literature on professional development for blended learning in higher education institutions is presented, where fourteen empirical research articles were withheld and analyzed qualitatively using an inductive coding framework inspired by the five levels of evaluation by Guskey, T. R. (2000).