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Professional development of academics for the implementation of online learning in African open and distance teaching institutions

2023· article· en· W4320482447 on OpenAlexvenueno aff
Mpho-Entle Puleng Modise, Olaf Zawacki‐Richter

Bibliographic record

VenueInternational journal of e-learning & distance education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
FundersUniversity of South Africa
KeywordsDistance educationProfessional developmentOnline learningOnline teachingSociologyPedagogyMathematics educationPolitical sciencePsychologyMultimediaComputer science

Abstract

fetched live from OpenAlex

E-learning has been recognized as the vehicle with the highest potential to improve education systems in African countries if implemented well. However, the sought after improvements are yet to be realized owing to the increasing failure of e-learning initiatives. This study investigated how academics were prepared for online teaching and learning at open and distance education (ODE) institutions in South Africa and Nigeria, where two of Africa's largest ODE institutions are located. Twenty participants from both institutions were selected to participate in the study. Qualitative semi-structured interviews were used to collect data, and a thematic analysis was used to analyze the data. Consistent with previous research, the findings of this study showed higher education institutions (HEIs) in Africa did not properly plan and manage their e-learning implementation projects. A lack of proper understanding of online learning and appropriate digital skills were the main reasons for reported failures of e-learning initiatives in these contexts. Consequently, this study positioned the professional development of academics as integral to e-learning innovation in higher education. The results of this study may resonate with other types of educational institutions, and the lessons documented may be valuable and helpful to other cases in similar situations. The development of needs-based and timely training interventions is recommended. Keywords: academic professional development, digital transformation, e-learning readiness, ODeL, online teaching, TPACK Développement professionnel des universitaires pour le déploiement de la formation en ligne dans les établissements africains d'enseignement ouvert et à distance Dr. Mpho-Entle Puleng Modise & Professor Olaf Zawacki-Richter Résumé : La formation en ligne a été reconnue comme le moyen ayant le plus grand potentiel pour améliorer les systèmes éducatifs des pays africains si elle est bien mise en œuvre. Cependant, les progrès escomptés ne sont pas encore réalisés en raison de l'échec croissant des initiatives de formation en ligne. Cette étude a examiné la manière dont les universitaires ont été préparés à l'enseignement et à l'apprentissage en ligne dans les établissements de formation ouverte à distance (FOAD) d'Afrique du Sud et du Nigeria, où se trouvent deux des plus grands établissements de FOAD d'Afrique. Vingt participants des deux institutions ont été sélectionnés pour participer à l'étude. Des entretiens qualitatifs semi-directifs ont été réalisés pour collecter les données, et une analyse thématique a été utilisée pour analyser les données. En cohérence avec les recherches précédentes, les résultats de cette étude ont montré que les établissements d'enseignement supérieur en Afrique n'ont pas adéquatement planifié et géré leurs projets de mise en œuvre de la formation en ligne. Le manque de compréhension de la formation en ligne et des compétences numériques appropriées sont les principales raisons des échecs signalés concernant les projets de formation en ligne mis en place dans ces contextes. Par conséquent, cette étude a positionné le développement professionnel des universitaires comme faisant partie intégrante de l'innovation en matière d'e-learning dans l'enseignement supérieur. Les résultats de cette étude peuvent trouver écho dans d'autres types d'établissements d'enseignement, et les leçons tirées peuvent être intéressantes et utiles pour d'autres instances dans des situations similaires. Le développement d'interventions de formation fondées sur les besoins et moments opportuns est recommandé. Mots-clés : développement professionnel universitaire, transformation numérique, préparation à la formation en ligne, FOAD, enseignement en ligne, TPACK

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.055
GPT teacher head0.468
Teacher spread0.413 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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