An interaction visualisation tool for a learning management system
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
Interaction design in a Learning Management System is the art of instigating interactions and facilitating communication between learners. In order to instigate interactions we need to first analyse and model these online interactions. This paper describes an automated, scalable, multi-browser, real-time visualisation software tool, which depicts the structure and design of the interaction between the students in an asynchronous conference. It gives an in-depth explanation of the tool and illustrates the purpose and management of interactions between the students in a. learning environment. The data examined in this study included a purposive sample of asynchronous, online discussion postings of students in our institution captured via forums and discussion-boards in a Moodle environment for the purpose of testing the software. This innovative tool is embedded into the Moodle environment and can be used by educators to evaluate students' activities and identify online behaviors and interaction patterns in the networked learning environment. Information provided by the software tool can be used for motivating the students and building an online socio-learning community.
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 | 0.002 | 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 | 0.001 |
| 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