An Exploration Into the Importance of a Sense of Belonging for Online Learners
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
Fostering a sense of belonging and a personal connection is seen as fundamental by many educational researchers, regardless of the learning environment. Online learning certainly provides flexible learning opportunities but comes with notable issues. For online learners, nurturing a sense of belonging may present a way of improving their experiences and attainment, as well as reducing attrition rates. Research specifically exploring sense of belonging and online learning is limited. This article addresses that gap and reports on a small-scale exploratory study using qualitative data-collection and analysis methods to investigate the importance, or not, of sense of belonging for postgraduates’ online education by exploring the origins and nature of their lived experience of online learning and their sense of belonging therein. Our initial findings emphasise its importance for them as online learners and have identified three significant themes: interaction/engagement, the culture of the learning, and support. These early findings highlight the importance of these three themes in promoting a sense of belonging and in ensuring that there are opportunities for meaningful group and peer interactions; they will be of interest to all engaged in online education.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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