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Advisor(s)
Abstract(s)
This study was initiated in a time of unprecedented uncertainty, as lecturers and
educational institutions across the world tried to manage the move to online
education. It started with lecturers’ perspectives of their performance during the
COVID-19 pandemic to identify innovative teaching strategies beyond the
priority of emergency teaching. The main goal was to identify the occurrence of
more permanent changes in higher education after the pandemic. The research
was based on a qualitative approach where faculty members were interviewed
about their activities before, during and after lockdown periods. Data collected
was analysed with the help of algorithms based on Artificial Intelligence.
Ultimately, it was possible to record and evaluate practical solutions related to
hybrid learning in Europe, Australia, and New Zealand, leading to
recommendations for stakeholders in Higher Education.
Description
Keywords
Hybrid learning Remote teaching Higher education COVID-19 Artificial intelligence Natural language processing
Citation
José Bidarra, Vítor Rocio, Nuno Sousa & João Coutinho-Rodrigues (2024) Problems and prospects of hybrid learning in higher education, Open Learning: The Journal of Open, Distance and e-Learning, DOI: 10.1080/02680513.2024.2404036
Publisher
Taylor & Francis