Engineering elaboratories: integration of remote access and ecollaboration
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
A significant portion of the development efforts on remote access laboratories has focused on demonstrating their technical feasibilityinstead of investigating their implications for engineering pedagogy. Further, current implementations of remote access laboratories lackthe social interactions that are fundamental to the engineering learning process. In response to these limitations a new paradigm forremote access laboratories, namely the eLaboratory, is introduced in this paper, which is a convergence of remote access technologiesand collaboration-based eLearning. It implements web-portal technology to establish a seamless integration of content-delivery,collaboration tools, and direct access to hardware resources as well as software applications. The paper presents a generic and modulararchitecture for such a framework, and discusses its implementation. Students' evaluation of the learning outcomes of the eLaboratoryparadigm, applied to Aerospace Engineering laboratory courses at the University of Toronto, is also analyzed.
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 | 0.000 | 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