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The mediating role of lecturer biographic factors on curriculum implementation in universities

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Abstract

The study presented in this article investigated the influence of lecturer biographic factors on curriculum implementation in universities in Botswana. Over the last two decades, Botswana has been transforming its education system to improve curriculum implementation in universities, particularly in terms of who should be allowed to teach and the qualification level of students they should instruct. A mixed-methods research approach that employed a structured questionnaire and semi-structured interviews was used to collect data from 306 lecturers and 25 academic middle managers (AMMs) respectively. Confirmatory factor analysis (CFA) was used to validate the questionnaire and expert opinion validated the interview guide. To analyse the resulting quantitative data, multiple regression analysis and descriptive statistics were used, while thematic analysis was employed for the qualitative data. Findings showed that lecturers’ educational level, age and teaching experience have a significant influence on effective implementation of curricula in universities, while gender has no significant influence. These results have implications for both policy and practice with regard to lecturer recruitment and curriculum implementation in universities.

Résumé

Le rôle intermédiaire des facteurs biographiques des maîtres de conférences dans la mise en œuvre des curriculums à l’université – L’étude présentée dans cet article examine l’influence des facteurs biographiques des maîtres de conférences sur la mise en œuvre des curriculums dans les universités au Botswana. Au cours des deux dernières décennies, le Botswana a transformé son système de l’éducation en vue d’améliorer la mise en œuvre des curriculums dans les universités, notamment en définissant qui devrait être autorisé à enseigner et à quel niveau d’études. L’étude présentée ici a été réalisée en s’appuyant sur une méthode de recherche mixte recourant à un questionnaire structuré et à des interviews semi-structurées pour collecter des données respectivement auprès de 306 maîtres de conférences et 25 cadres universitaires moyens. Elle a utilisée une analyse factorielle de confirmation pour valider le questionnaire et des experts ont fourni leur avis pour valider le guide des interviews. Pour analyser les données quantitatives recueillies, on a recouru à l’analyse de régression multiple et aux statistiques descriptives, tandis que l’analyse thématique a servi pour les données qualitatives. Les résultats ont révélé que le niveau de formation des maîtres de conférences, leur âge et leur expérience en matière d’enseignement influent considérablement sur l’efficacité de la mise en œuvre des curriculums au sein des universités, tandis que le genre ne joue pas un rôle important à ce propos. Ces résultats ont des conséquences tant politiques que pratiques quant au recrutement des maîtres de conférences et à la mise en mise en œuvre des curriculums dans les universités.

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Notes

  1. This article is an original paper extracted from the first author’s Doctor of Education (DEd) thesis (Rudhumbu 2018) as part of examinations requirements that demand that a student publishes at least one paper from the thesis.

  2. In Botswana, public education is administered and funded by the government, while private education fees are paid for by students/parents.

  3. A triangulation design (or parallel design) refers to combining data (e.g. qualitative and quantitative) collected by different methods (in our case, a survey and interviews during the analysis phase).

  4. Stratified random sampling is “a probability sampling procedure that is used primarily on quantitative-oriented studies in which various subgroups (strata) in a population of interest are proportionately represented in the study sample” (Rudhumbu 2018, p. 147).

  5. The purpose of descriptive statistics is “to summarise the data to allow the researcher to understand the patterns that emerge” (Rudhumbu 2018, p. 158).

  6. Participants identified as male or female in the questionnaire.

  7. Multicollinearity refers to “the existence of a perfect or nearly perfect linear correlation between a set of variables when the regression of some dependent variable on them is being investigated” (OUP 2022).

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Acknowledgements:

The authors wish to thank the managers and lecturers from the participating universities whose contributions made this study possible. Without their support, the study would not have succeeded the way it did.

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Rudhumbu, N., du Plessis, E. The mediating role of lecturer biographic factors on curriculum implementation in universities. Int Rev Educ 68, 11–31 (2022). https://doi.org/10.1007/s11159-022-09937-x

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