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Record W3152179193 · doi:10.29173/iasl8007

Information Technology Adoption in Botswana Secondary Schools and its Implications on Leadership and School Libraries in the Digital Era

2021· article· en· W3152179193 on OpenAlexvenueno aff
Angelina Totolo

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipInformation technologyEducational leadershipPsychologyUsabilityFeelingQualitative researchPublic relationsSociologyPedagogySocial psychologyPolitical scienceComputer scienceSocial science

Abstract

fetched live from OpenAlex

The objectives of this paper are to examine the principals’ transformational leadership qualities and to juxtapose this to Information Technology adoption in Botswana secondary schools. Using David et al. (1989) Technology Acceptance Model (TAM), Todd’s (1999) transformational leadership constructs, and qualitative open-ended questions, a research tool was formulated to establish the perceptions of school heads in 10 urban and 14 rural schools, about computer technology acceptance, the role of the school library in the integration of computers in the school and transformational leadership. The findings point to a trend towards computer acceptance and transformational leadership, albeit some indications of computer anxiety, some feelings about the lack of computer usefulness and ease of use, as well as leadership issues, like the lack of functional school libraries. One of the most relevant findings was the positive correlation between perceived ease of use of the computer statement to some leadership constructs.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
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 head0.038
GPT teacher head0.284
Teacher spread0.246 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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