COVID ‐19 and online teaching in higher education: A case study of Peking University
Open accessAbstract
Starting from the spring of 2020, the outbreak of the COVID-19 caused Chinese universities to close the campuses and forced them to initiate online teaching. This paper focuses on a case of Peking University's online education. Six specific instructional strategies are presented to summarize current online teaching experiences for university instructors who might conduct online education in similar circumstances. The study concludes with five high-impact principles for online education: (a) high relevance between online instructional design and student learning, (b) effective delivery on online instructional information, (c) adequate support provided by faculty and teaching assistants to students; (d) high-quality participation to improve the breadth and depth of student's learning, and (e) contingency plan to deal with unexpected incidents of online education platforms.
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The move to online learning was significant and sudden, but necessary to continue the learning process.
“Some studies [14-16] acknowledged that the move to online learning was significant and sudden, but that it was also necessary to continue the learning process.”
From Impact of online learning on student's performance and engagement: a systematic review (2024) · cites this paper as [16]
Brainstorming assists learners to be critical thinkers and improves their reasoning capacities.
“This finding concurs with Bao (2020) who declared that this method assists learners to be critical thinkers and improves their reasoning capacities.”
From Exploration of curriculum changes in the learning and teaching methods of economic and management sciences (2025) · cites this paper as Bao (2020)
Section 4.6 recommends discussion to promote deep learning, but it does not identify brainstorming as the method or say it improves critical thinking or reasoning. Searches for brainstorming, critical thinking, and reasoning found no passage addressing the attributed claim; our copy provides no page number for section 4.6. (LLM, conf=0.76)
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Research works printed but not linked: 3
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- Authors
- Bao, W.
- Affiliations
- Graduate School of EducationInstitute of Education Economy, Peking University Beijing China
- ORCID
- Bao, Wei
- Venue
- Human Behavior and Emerging Technologies
- Publisher
- Wiley
- Published
- 2020-04
- Volume
- 2
- Issue
- 2
- Pages
- 113-115
- ISSN
- 2578-1863 (ISSN-L)
- PMC
- PMC7262082
- OpenAlex
- W3014723334
- Cited by
- 2,268
- References
- 3
- Citations by year
- 2026: 79 · 2025: 147 · 2024: 243 · 2023: 395 · 2022: 545 · 2021: 656 · 2020: 202 · 2014: 1
- FWCI
- 681.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Human Behavior and Emerging Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Education of China and the project The Research of Faculty Development
- Topics
- Social Sciences › Education › Education during COVID-19 pandemic
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › E-Learning and COVID-19
- Keywords
- COVID-19 pandemic, online learning, higher education, Peking University, teaching methods, online instructional design, student participation, faculty support, teaching assistants, contingency planning, online learning platforms, campus closure
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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