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Record W4206623999 · doi:10.2196/preprints.27169

An Imperative for the National Public Health School in Burkina Faso to Promote the Use of Information and Communication Technologies in Education During the COVID-19 Pandemic: Critical Analysis (Preprint)

2021· preprint· en· W4206623999 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEducation in Diverse Contexts
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsInformation and Communications TechnologyPublic relationsClosure (psychology)Political scienceBest practiceCoronavirus disease 2019 (COVID-19)PandemicMedical educationBusinessMedicineEconomic growthEconomics

Abstract

fetched live from OpenAlex

<sec> <title>BACKGROUND</title> Several studies have reported the positive impact of information and communication technologies (ICTs) on academic performance and outcomes. Although some equipment is available, the ICTs for education at the National Public Health School (NPHS) of Burkina Faso have many shortcomings. These shortcomings were clearly revealed during the search for responses to the crisis caused by the COVID-19 pandemic. Indeed, to curb the spread of COVID-19, some measures were taken, such as closure of educational institutions. This resulted in a 2.5-month suspension of educational activities. Despite its willingness, the NPHS was unable to use ICTs to continue teaching during the closure period of educational institutions. </sec> <sec> <title>OBJECTIVE</title> In this paper, we aim to propose practical solutions to promote ICT use in teaching at the NPHS by analyzing the weaknesses and challenges related to its use. </sec> <sec> <title>METHODS</title> We conducted a critical analysis based on information from the gray literature of NPHS. This critical analysis was preceded by a review of systematic reviews on barriers and facilitating factors to using ICTs in higher education and a systematic review of ICT use during the COVID-19 pandemic in higher education. An ICT integration model and a clustering of ICT integration factors guided the analysis. </sec> <sec> <title>RESULTS</title> The weaknesses and challenges identified relate to the infrastructure and equipment for the use of ICTs in pedagogical situations in face-to-face and distance learning; training of actors, namely the teachers and students; availability of qualified resource persons and adequate and specific financial resources; motivation of teachers; and stage of use of ICTs. </sec> <sec> <title>CONCLUSIONS</title> To promote the use of ICTs in teaching at the NPHS, actions must be performed to strengthen the infrastructure and equipment, human resources, the skills of actors and the motivation of teachers in the pedagogical use of ICTs. </sec>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.157
GPT teacher head0.452
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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