How do young students with different profiles of reading skill mastery, perceived ability, and goal orientation respond to holistic diagnostic feedback?
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
One critical issue with cognitive diagnostic assessment (CDA) lies in its lack of research evidence that shows how diagnostic feedback from CDA is interpreted and used by young students. This mixed methods research examined how holistic diagnostic feedback (HDF) is processed by young learners with different profiles of reading skills, goal orientations, and perceived ability. HDF provides three learner profiles: learners’ current skill mastery levels; self-assessed skill proficiency; and goal orientations. It also has a section for plans for future learning. A total of 44 Grades 5 and 6 students (aged 11–12) from two classrooms, their parents and teacher received individually customized HDF reports. Students’ reading skill mastery profiles were determined based on the application of cognitive diagnostic modeling to their performance on a provincial reading achievement measure, while their perceived ability and goal orientation profiles were created by using self-assessment and goal-orientation questionnaires. Students and parents provided written responses to their HDF reports. The study findings show the dynamic influence of young students’ profiles on the ways in which they perceive, interpret and use HDF. Students’ responses to diagnostic feedback did not differ substantially across reading mastery levels; however, psychological factors most strongly impacted the efficacy of learner feedback processing. Furthermore, the result that it was not students’ actual goal orientations but their perceived parent goal orientations that showed significant relationships with their skill mastery levels strongly indicates that young students’ responses to HDF are likely to be influenced by broader learning environments, and such influences are further filtered through their own perceptions. Understanding students’ interactions with diagnostic feedback is critical for maximizing its effect because their perceptions about ability and orientations to learning strongly influence the ways in which they process diagnostic feedback on their learning.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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