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Cluster-based productive-persistence discovery method

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 causal), q3 · 1 of 1 report an effect size · 1 claim rests on one study

Description

The article proposes "a new cluster-based method that combines posttest performance, effort (to quantify persistence), and unsolicited hint usage to discover productive persistence." It defines productive persistence as "persistent (high) efforts that result in higher posttest performance", building on work distinguishing productive persistence from wheel-spinning. Effort is operationalised through two research-based measures: time spent on unsolved (skipped) training problems and the number of restarts on eventually-solved problems. Students are clustered on five features spanning productivity, effort, and unsolicited hint usage.

Accounts

  • Cluster-based method combining performance, effort, and hint usage to discover productive persistence: The article proposes "a new cluster-based method that combines posttest performance, effort (to quantify persistence), and unsolicited hint usage to discover productive persistence." It defines productive persistence as "persistent (high) efforts that result in higher posttest performance", building on work distinguishing productive persistence from wheel-spinning. Effort is operationalised through two research-based measures: time spent on unsolved (skipped) training problems and the number of restarts on eventually-solved problems. Students are clustered on five features spanning productivity, effort, and unsolicited hint usage. (Mehak Maniktala et al. (2020))

Claims

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Key Sources

  • Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi. (2020). Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. https://arxiv.org/abs/2009.13371
Page metadata
Field Value
type research-method
id cluster-based-productive-persistence-discovery-method
title Cluster-based productive-persistence discovery method
description The article proposes "a new cluster-based method that combines posttest performance, effort (to quantify persistence), and unsolicited hint usage to discover productive persistence." It defines productive persistence as "persistent (high) efforts that result in higher posttest performance", building o
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generated by process:settle-candidates on 2026-10-27
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