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Teaching and Learning in the New Normal: Responding to Students’ and Academics’ Multifaceted Needs

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Social Computing and Social Media (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14026))

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Abstract

Alongside the prolonged social and economic instability and the escalating demands for upskilling, Covid-19 pandemic had a detrimental impact on students’ and academics’ mental health and wellbeing. Social isolation and the emergency transition to remote education caused high levels of psychological distress, hindering students’ self-efficacy and academic performance. The pandemic also induced sudden changes affecting academics’ personal and professional lives, leading to mental disorders and risk of burnout. While recent research focuses on addressing the effects of the pandemic on either students or academics, this paper presents a collective analysis. The key themes that emerged by examining the experiences of both students and academics in higher education are framed in a multi-layered support system embracing qualities such as: self-efficacy, wellbeing, equality, diversity, and inclusion, social interactions, human-centred technologies, and authentic pedagogical methods. The findings are discussed with the aim to extract informed recommendations for enhancing teaching and learning experiences in the post-pandemic era.

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Author information

Authors and Affiliations

  1. University of Central Lancashire – Cyprus, Larnaca, Cyprus

    Andriani Piki

  2. WSB University, Poznan, Poland

    Magdalena Brzezinska

Authors
  1. Andriani Piki
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  2. Magdalena Brzezinska
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Correspondence to Magdalena Brzezinska .

Editor information

Editors and Affiliations

  1. University of Bucharest, Bucharest, Romania

    Adela Coman

  2. University of Tsukuba, Tsukuba, Japan

    Simona Vasilache

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Piki, A., Brzezinska, M. (2023). Teaching and Learning in the New Normal: Responding to Students’ and Academics’ Multifaceted Needs. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14026. Springer, Cham. https://doi.org/10.1007/978-3-031-35927-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-35927-9_9

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