An Analysis of Student Self-Assessment of Online, Blended, and Face-to-Face Learning Environments: Implications for Sustainable Education Delivery
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
Online delivery has the potential to offer significant benefits in achieving multiple goals related to sustainable education. For example, students from a variety of backgrounds can access educational opportunity, allowing for vast dissemination of education. In addition, the methods employed in online learning are generally much lower in carbon intensity, providing an added operational benefit to online education. Beyond these stated benefits, we must also identify what components of online education are deemed effective from the student’s perspective. This article summarizes a recent study conducted by the authors on overall student self-assessment of learning at a major online university, and compares these results with general pedagogical assumptions regarding the perceived benefits of online learning. The goal is to highlight what factors students find important in ensuring quality learning outcomes in the online learning environment. The extension of this work is to link successful components of online delivery to the general achievement of sustainability in education delivery methods.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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