Parents’ Involvement in High-Stakes Language Assessment A Review of Test Impact on Parent Behavior
Bibliographic record
Abstract
This paper reviews a total of 20 empirical research studies concerning parents’ behavior under the context of high-stakes language assessment, aiming to reveal the impact of the assessment on parents’ behavior. The results show that (1) parents are typically involved in high-stakes language assessment process; (2) their involvement practice includes general (such as hiring tutors for children) and extreme involvement behavior (such as participating in movement against high-stakes testing); (3) no unanimous conclusion is reached concerning the effectiveness of parents’ involvement in high-stakes language assessment; (4) multiple factors that affect parents’ involvement in high-stakes language assessment are identified, including parents’ perceptions of tests, their educational background, and the time they spend with their children. This study concludes that tests might influence the ways parents are involved in children’s education. However, not all parents might be influenced by testing, and testing might have a positive impact on some parents but a negative impact on others. This synthesis has several practical implications. Firstly, it indicates that parents’ involvement behavior in the context of high-stakes language assessment deserves to be further investigated. Secondly, it points that various intervention programs should be provided for parents to help them better support their children’s learning and test preparation. The paper also offers several suggestions for future research.  
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".