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Record W4392916935 · doi:10.1177/20427530241239393

Understanding teachers’ usage of YouTube as a pedagogical tool: A qualitative case study of basic school teachers in Ghana

2024· article· en· W4392916935 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

VenueE-Learning and Digital Media · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQualitative researchMathematics educationSchool teachersSociologyPedagogyPsychologySocial science

Abstract

fetched live from OpenAlex

YouTube has been widely considered as a pedagogical tool over the last few decades. Recent findings from research portray YouTube videos as an instructional part of learning that contributes to best practices in teaching. Much of the studies have focused on usage by teachers and students at the tertiary level without much attention given to basic school teachers. Using an exploratory qualitative case study design and the ICT Pedagogical Beliefs Classification framework, we explored teachers’ usage of YouTube as a pedagogical tool. We drew on the experiences of 18 teachers in 3 private schools in Ghana to find out how Youtube was used in instruction. Four dominant ways of usage were identified. YouTube was used as a teaching tool, a means of enhancing specific topics, a means of learning new and varied ways of teaching, and as a means of developing teachers’ professional competence. Findings showed that whilst some of the ways of usage align with constructivist methods of teaching others still fall within traditional and teacher centred approaches to teaching. We argue that for teachers to enact meaningful pedagogies with technology through a more student-centred model, their knowledge and skills need to be developed alongside the reshaping of their motives and reasons and subsequently the ways in which they use technology for teaching. We recommend the planning and reinforcement of innovative instructional design of technological integration for teachers through informed policy and the use of training interventions to build new skills geared towards constructive and creative teaching suited to developing a net generation of students.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.169
GPT teacher head0.400
Teacher spread0.231 · 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