Scoping Review of Self-Directed Online Learning, Public School Students’ Mental Health, and COVID-19 in Noting Positive Psychosocial Outcomes with Self-Initiated Learning
Bibliographic record
Abstract
During COVID-19, self-directed learning, contrasted with standardized learning, became a necessary and promoted learning method in public schools—one potentially supportive of mental health regularly in public schools through the use of online learning. This is important because negative mental health has been classified as a global crisis, with the highest and lowest student achievers recognized as at greatest risk. Therefore, the conditions under which public school students’ mental health has been improved, leading to positive psychosocial outcomes, are relevant. Studies have identified that positive psychosocial outcomes in this regard require self-initiation of students’ self-directed learning. Also necessary is a reduction in the standardized expectations of parents to lead to positive psychosocial outcomes. Unknown is what research identifies the relevance of both self-initiated self-directed online learning and a reduction in parental expectations of standardization. To investigate this, self-directed learning, online learning, mental health, public schools, and COVID-19 were keywords searched following PRISMA guidelines for scoping reviews. The result: few returns considered either factor and those that did reinforce the need for both. The conclusion: self-initiated self-directed online learning supported by public schools and parents should be central in the aim of reducing the mental health crisis in students post COVID-19.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".