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Author:

Xiong, W. (Xiong, W..) | Zhu, Y. (Zhu, Y..) | Zhang, Y. (Zhang, Y..)

Indexed by:

Scopus

Abstract:

The outbreak of the COVID-19 pandemic in early 2020 has brought tremendous challenges to higher education teaching and learning. Much attention has been put on online course construction and delivery to ensure the effectiveness of online learning. However, higher education assessment deserves more attention as it is also significantly impacted by the sudden switch from face-to-face to online. To examine how higher education institutions responded to the challenges in higher education assessment during the pandemic, this chapter conducted a case study of postgraduate programs at Lingnan University (LU) in Hong Kong to explore an appropriate assessment framework for online learning in a liberal arts education context. Through a quantitative approach, this study surveyed taught postgraduate students to explore the effectiveness, efficiency, and fairness of the assessment approaches applied by LU faculty members in the online and hybrid-mode classes. This case study aims to provide insights for improving higher education assessment under the pandemic crisis. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Wuality education Higher education assessment Teaching and learning COVID-19 pandemic

Author Community:

  • [ 1 ] [Xiong W.]Institute of Policy Studies, School of Graduate Studies, Lingnan University, Hong Kong
  • [ 2 ] [Xiong W.]School of Graduate Studies, Lingnan University, Hong Kong
  • [ 3 ] [Zhu Y.]Department of Counseling, Leadership, Adult Education and School Psychology, Texas State University, San Marcos, TX, United States
  • [ 4 ] [Zhang Y.]Research Institute of Higher Education, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhang Y.]School of Graduate Studies, Lingnan University, Hong Kong

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Source :

ISSN: 2365-6352

Year: 2023

Volume: Part F3

Page: 215-230

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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