Cognitive, Instructional, and Social Presence as Factors in Learners’ Negotiation of Planned Absences from Online Study
Bibliographic record
Abstract
Adult learners value the flexibility and convenience offered to them as online learners, and many learners are required to absent themselves from their online classes during courses in order to accommodate demanding schedules. What factors and tensions contribute to learners’ decision-making at these times? This qualitative study considered the planned absences of learners engaged in an online graduate course at a large university. Working within the framework provided by cognitive, instructional, and social presences, findings showed the following: (1) learners understood and accommodated the relationship and importance of the affective domain to their cognitive successes in learning, (2) successful learners demonstrated insightful self-knowledge in using meta-cognitive strategies, and (3) learners’ external support systems were fundamental to their ability to continue to learn when absences occurred. The study’s findings corroborate other recent research that similarly stresses the complexity and interrelated nature of the adult learning process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".