Using robots to assess problem-solving skills
Bibliographic record
Abstract
Introduction Assistive robots may allow children with physical disabilities to manipulate objects and provide a means to participate in cognitive assessments of problem-solving skills. This study aimed to test the problem-solving skills of typically developing children when using a LEGO® robot to solve a reverse sequencing task. Additionally, the study aimed to determine the chronological ages at which typically developing children can effectively solve the levels of difficulty. Method An experimental crossover study was conducted, where 30 typically developing children aged from 3 to 7 years old were randomly assigned to a first condition (either robot or direct hand manipulation using a toy truck). Results This pilot study demonstrated that older children outperformed younger children when they used both the truck and the robot, and that the robot was best suited for children over the age of five. Conclusion Children were able to use the robot to manipulate objects and perform the problem-solving task. A robot may be an alternative assessment tool to identify problem-solving skills for children with disabilities. A larger sample size is required to build a database of results when typically developing children use robots, to gauge the level of understanding of children with disabilities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".