Potentials of E-learning as a Study Tool in Business Education in Nigerian Schools
Bibliographic record
Abstract
With advancement in information technology in the 21st century, e-learning has become an invaluable technology for teaching, learning and research in education. E-learning involves the use of technology to enhance learning including digital collaboration, satellite broadcasting, CD-ROMS amongst others. E-learning has so many advantages over the traditional method of teaching and learning. Besides, so many e-learning tools are available for teaching and learning. However, despite these numerous advantages, a careful look at Nigerian educational system shows that the use of e-learning is still rather slow or imaginary. One of the reasons for this may be due to ignorance, negative perceptions amongst students and teachers and; non-availability of e-learning facilities in the system. This paper critically examined the potentials and immense benefits of e-learning in education generally and business education in particular. The paper also looked into the Nigeria policy on information and communication technology (ICT) as it relates to education. It further presented various methods that may be employed in delivery business education lessons via e-learning. Recommendations were made that there should be awareness creation about the potentials and prospects of e-learning in Nigerian schools amongst others.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".