From the Peripheral to the Transboundary: Documenting the Lived Experiences of Students and Parents with Online Math Tutoring Services
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
Despite the growing prevalence of tutoring services in Canada, and a corpus of studies focusing on its overall implementation, research on the tutoring experience of Canadian students is lacking. This article reports findings from a study that responds to this gap through interviews with three high school students receiving online tutoring services in math, and two parents of children receiving online tutoring services. Specifically, the study responds to three questions: (1) What are the lived experiences of high school students receiving math tutoring from a private tutoring service in Ontario, Canada?; (2) What are parents’ motives for seeking private tutoring services?; and (3) How do participants perceive the learning taking place in different environments (e.g., tutoring vs. school)? In response to these questions, this article outlines the extent to which student participation in online tutoring demonstrates “transboundary learning”, responding to earlier claims arguing that tutoring services are considered to be more like “peripheral” learning environments as opposed to an important context for student learning. Findings show a distinct shift in the relationship between tutoring and schooling, where learning is more transboundary in nature and boundaries between schooling and tutoring are blurred. Discussion of findings elaborates on evidence of this transformation as aligning with central characteristics of transboundary learning. The increasing role of tutoring in families' learning and schooling experiences could signal the potential for more inequalities in education, which are discussed in detail.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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