From Distance Education to E-Learning: A Multiple Case Study on Instructional Design Problems
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.
Bibliographic record
Abstract
Distance education, increasingly dubbed online learning and even e-learning, represents an important societal movement, as witnessed by the sudden emergence of a worldwide knowledge industry in which universities play a central role. Many universities, in implementing e-learning, have undertaken a process whereby faculty are being encouraged to move on-campus created knowledge to online-disseminated knowledge. In attempting to do so, a distance education university-inspired model is often implemented which is foreign to traditional university practice. In doing so, numerous design-related problems are encountered by learning technologists, educational developers (United Kingdom), or instructional designers (USA), who assist faculty in this ‘migratory’ process. This study presents findings from a multi-case study dealing with such instructional design-related problems and charts the emergence of a relevant instructional design model for universities developing e-learning.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it