Evidence map›Paper›PMID 32582325›Full record

ArticlePakistan journal of medical sciences2020

Technology Enhanced Assessment (TEA) in COVID 19 Pandemic.

Rehan Ahmed Khan, Masood Jawaid

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
23.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 140 citations in OpenAlex.

  1. Article
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  4. Structures, processes and outcomes of objective structured clinical examinations in dental education during the COVID-19 pandemic: A scoping review.European journal of dental education : official journal of the Association for Dental Education in Europe · 2023
    Article
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  10. The Role of Technology in Health Professions Education During the COVID-19 Pandemic.Academic medicine : journal of the Association of American Medical Colleges · 2022
    Article
  11. Article
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  15. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Rehan Ahmed KhanProf. Rehan Ahmed Khan MBBS(Pak), FCPS (Pak), FRCS (Ire), JM-HPE (Ned), MSc HPE (UK) Professor of Surgery, Assistant Dean Medical Education, Riphah International University, Islamabad, Pakistani.
Masood JawaidDr. Masood Jawaid MBBS, MCPS, MRCS (Glasg), FCPS (Surg), MHPE. Director Medical Affairs and Pharmacy Services, PharmEvo, Consultant Surgeon, DSH Karachi, Pakistani.
College of Physicians and Surgeons Pakistan · PKUniversities UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online teaching and learning is not a new phenomenon. For the last many years, it has been mainly used as a part of face to face teaching. Assessment is an essential part of teaching and learning, as it establishes the achievement of course learning outcomes by the students. Computer-based assessment is in place for a long time now, however, online assessments have been less practiced. This is because of the issues of validity, reliability and dishonesty. During the COVID 19 pandemic, the educational environment has taken a paradigm shift in many medical schools, both nationally and internationally. This situation demands a method of assessment that is safe, valid, reliable, acceptable, feasible and fair. This paper describes the different formats of online assessment and their application in formative and summative assessments during and after the COVID 19 pandemic.

Indexed as

COVID 19Online assessmentPandemicTechnology enhanced assessment

Identifiers

PMID32582325
PMCPMC7306940
OpenAlexW3022558018

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.