Not requesting any hints in at least one problem is related to greater wheel-spinning, consistent with help avoidance¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2018 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
Evidence quality · No study behind this claim is a peer-reviewed article with a DOI: it rests on a source with no registered publication record (a web page, book or unpublished report). It is kept because a design page cites it; treat it as a lead to check, not an established finding.

Subclaims¶

q2 i? Students who never request hints in at least one problem within a problem set are more likely to wheel-spin. → Kai 2018

Evidence¶

Kai 2018¶

Kai, S., Heffernan, C., Almeda, M. V., Heffernan, N., & Baker, R. S. (2018). Decision Tree Modeling of Wheel-Spinning and Productive Persistence in Skill Builders. Journal of Educational Data Mining, Volume 10, No 1. https://jedm.educationaldatamining.org/index.php/JEDM/article/view/210

q2 · i? · associational · r2

Finding from the J48 decision tree analysis of ASSISTments Skill Builder log data; Figure 4 shows the proportion of wheel-spinning is much lower once the minimum number of hints requested in any problem increases beyond 1.

"Our findings also indicate that not requesting any hints in at least one problem was related to greater wheel-spinning."

Discussion¶

Related Claims¶

• Effective AI help-seeking is itself a skill unevenly distributed among students, and access to an assistant is not equivalent to effective help-seeking — the general claim this finding bears on, with the studies behind it

• Persistence and performance costs concentrate among participants who used the AI to obtain direct solutions, while hint-users resemble controls — the general claim this finding bears on, with the studies behind it

• Letting learners pace instruction helped on complex material in one experiment, while learner control in general showed almost no effect across 18 studies — the general claim this finding bears on, with the studies behind it

• Adaptive students request significantly fewer on-demand hints and spend longer on a step before requesting help than Control students — related
• The relationship between bottom-out hint use and wheel-spinning is nuanced, depending on whether students avoid hints entirely — related
• Two distinct feature combinations identify two types of wheel-spinning students in ASSISTments Skill Builders — a narrower finding that bears on this claim
• Consistently short delays between problems of the same skill are associated with greater wheel-spinning — related
• A 15-feature J48 decision tree model distinguishes wheel-spinning from productive persistence in ASSISTments Skill Builders at AUC ROC 0.684 under student-skill-level cross-validation — related
• A retention-based definition of wheel-spinning classifies a much lower proportion of students as wheel-spinning than Beck and Gong's opportunity-count definition — related
• A warning message about potential AI mistakes increases seventh-graders' hint requests in a math intelligent tutoring system — related
• Undergraduate computing students report help-seeking avoidance and anxiety, with 62.5% sometimes avoiding asking for help even when needed and 75% reporting anxiety when not understanding a topic — related
• Most students (87.6%) prefer attempting to solve problems independently before seeking support, managing uncertainty privately before engaging formal support — related
• Mindful-condition students completed fewer problem-solving steps and requested fewer hints per step than Cognitive-condition students — related