Whither the LMS: Is the LMS Still Fit for Purpose?
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
Learning management systems (LMSs) have long been adopted by tertiary education providers to be the conduit through which courses are delivered. However, debates about the capacity of the LMS to meet all the required current and future needs of both students and educators have become more pronounced over the past few years, particularly given the rapid shift to online learning during Covid-19. This qualitative study aimed to examine practitioners’ current experiences in using the LMS for formal teaching and learning in tertiary environments. To discern the possibilities and issues, a focus group was held with fourteen practitioners from Australasia (Australia and Singapore), Canada, and the UK (England and Scotland) attending virtually. Adopting a novel and recognised approach to thematic analysis, a Delphi process was adopted on the de-identified webinar and chat transcripts. Analysis revealed several key themes ranging across pedagogical, technological, and managerial issues with the LMS. The findings in this paper have become even more pertinent as a result of Covid-19 with institutions urgently reviewing standards for teaching in the LMS whilst also reviewing their overall technology ecosystems to ensure a suite of complementary teaching and learning tools to enable best teaching and learning practices. It appears the LMS still has a key role to play in contemporary learning ecosystems.
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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