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Record W2094040639 · doi:10.2304/elea.2013.10.1.13

From e- to m-Learning: Feasibility for an African-Delivered Tertiary Program

2013· article· en· W2094040639 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 · 2013
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsInformation and Communications TechnologyMedical educationComputer scienceWorld Wide WebMedicine

Abstract

fetched live from OpenAlex

Since 2000, the Early Childhood Development Virtual University (ECDVU) has offered graduate-level programs in sub-Saharan Africa. These programs have been highly successful in creating a cadre of early childhood development (ECD) leaders in countries throughout Africa. When ECDVU was launched, the program was considered to be at the cutting edge in its use of appropriate and feasible technology. Within the past decade, however, the use of information and communication technologies (ICT), including mobile phones, personal digital assistants and tablets, has expanded dramatically within the Minority (‘Developed’) and Majority (‘Developing’) Worlds. Thus, ECDVU has begun to explore whether and how the graduate-level ECDVU programs might be delivered partially or primarily through tablets or smartphones.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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