Evidence map›Paper›PMID 36478729›Full record

ArticleFrontiers in public health2022

The impacts of COVID-19-induced online lectures on the teaching and learning process: An inquiring study of junior secondary schools in Orlu, Nigeria.

Confidence Chioma Nneji, R Urenyere, Kingsley Eghonghon Ukhurebor, Saheed Ajibola, Olatunji Oluwatosin Onaseso

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Confidence Chioma NnejiAfrica Centre of Excellence on Technology Enhanced Learning (ACETEL), National Open University of Nigeria, Abuja, Nigeria.
R UrenyereAfrica Centre of Excellence on Technology Enhanced Learning (ACETEL), National Open University of Nigeria, Abuja, Nigeria.
Kingsley Eghonghon UkhureborDepartment of Physics, Faculty of Science, Edo State University, Uzairue, Edo State, Nigeria.
Saheed AjibolaAfrica Centre of Excellence on Technology Enhanced Learning (ACETEL), National Open University of Nigeria, Abuja, Nigeria.
Olatunji Oluwatosin OnasesoSAGE Group Technologies, Hazlet, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated how the sudden shift in the system of learning during the COVID-19 pandemic impacted the students, how the external environment impacted their performance, and the structural barriers encountered, which equally had significant impacts on students at junior secondary schools (JSS) in Orlu, Imo State, Nigeria. The study adopted the descriptive survey research method. The simple random sampling method was adopted with a sample size of 650 students. The data were collected using a structured questionnaire, rated using a four-point Likert scale, and analyzed using descriptive statistics such as frequency counts, percentages, and means. 60.10, 58.80, 59.50, 59.00, and 59.50% of the respondents agreed to research questions respectively. Based on these results, it was concluded that the COVID-19-induced online teaching and learning impacted negatively on the students and on the process of teaching and learning due to inadequate prior preparation for such a system of teaching and learning at the JSS level within the study area. These have serious implications and remain significant for policy and practice in the education sector.

Indexed as

COVID-19PandemicsHumansLearningSchoolsStudentsCOVID-19learningonline lecturestudentteaching

Identifiers

PMID36478729
PMCPMC9720684

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.