Elementary students’ social, emotional, and cognitive development during the COVID- 19 pandemic in North America: A scoping review
Bibliographic record
Abstract
The COVID- 19 pandemic and subsequent disruptions to in-person learning presented unanticipated challenges to elementary school systems across North America. Elementary students are particularly vulnerable to the negative outcomes of extended online learning, as this developmental stage is crucial for the social, emotional, and cognitive growth of students. To date, no research has synthesized what we currently know about the impacts of the pandemic on these developmental outcomes among students. As such, this scoping review explores and synthesizes what is currently known regarding elementary students' social, emotional, and cognitive development during the COVID- 19 pandemic in North America. In accordance with the Joanna Briggs Guide, three databases were searched in September 2024, and results were uploaded into Covidence wherein they were screened for eligibility. A total of 13 peer-reviewed articles met the inclusion criteria for this review (i.e., included elementary students, spoke to social/emotional/cognitive development, peer-reviewed articles written in English and conducted in North America). Thematic analyses revealed four themes including (1) lack of socialization opportunities; (2) emotional regression; (3) cognitive gaps in learning; and (4) inequitable impacts on development. School-based supports are needed for all students, but particularly those facing multiple, intersecting health and social disparities, to bolster positive development post-pandemic and to mitigate long-term negative health outcomes.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".