EFFECTS OF A PROFESSIONAL DEVELOPMENT PROGRAM ON BEHAVIORAL ENGAGEMENT OF STUDENTS IN MIDDLE AND HIGH SCHOOL
Bibliographic record
Abstract
Student behavioral engagement is a key condition supporting academic achievement, yet student disengagement in middle and high schools is all too common. The current study used a randomized controlled design to test the efficacy of the My Teaching Partner-Secondary program to increase behavioral engagement. The program offers teachers personalized coaching and systematic feedback on teachers' interactions with students, based on systematic observation of videorecordings of teacher-student interactions in the classroom. The study found that intervention teachers had significantly higher increases, albeit to a modest degree, in student behavioral engagement in their classrooms after 1 year of involvement with the program compared to the teachers in the control group (explaining 4% of variance). In exploratory analyses, two dimensions of teachers' interactions with students-their focus on analysis and problem solving during instruction and their use of diverse instructional learning formats-acted as mediators of increased student engagement. The findings offer implications for new directions in teacher professional development and for understanding the classroom as a setting for adolescent development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".