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Problems and prospects of hybrid learning in higher education

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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.

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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

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