Three-approach analysis of player methods in open-ended game data

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The article's reusable analytic pattern consists of three complementary lenses: "looking at actions and tool use, play patterns and player types, and tool input patterns". Applied together to one open-ended quest, these lenses identify content-specific gameplay decisions and distinguish players utilizing different methods. The pattern is intended to generalize as guiding questions for learning games designers and data scientists.

Accounts

• Three-approach analysis pattern for distinguishing player methods in open-ended game data: The article's reusable analytic pattern consists of three complementary lenses: "looking at actions and tool use, play patterns and player types, and tool input patterns". Applied together to one open-ended quest, these lenses identify content-specific gameplay decisions and distinguish players utilizing different methods. The pattern is intended to generalize as guiding questions for learning games designers and data scientists. (Rosenheck et al. (2021))

Claims

• In the studied game quest, three GLA approaches yield insights into different ways students complete genetics tasks [+M]

Related Research Methods

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Key Sources

• Rosenheck, Louisa; Cheng, Meng-Tzu; Lin, Chen-Yen; Klopfer, Eric. (2021). Approaches to illuminate content-specific gameplay decisions using open-ended game data. Springer US. https://doi.org/10.1007/s11423-021-09989-0

Page metadata

Field	Value
type	research-method
id	three-approach-analysis-of-player-methods-in-open-ended-game-data
title	Three-approach analysis of player methods in open-ended game data
description	The article's reusable analytic pattern consists of three complementary lenses: "looking at actions and tool use, play patterns and player types, and tool input patterns".
status	review
generated	by process:settle-candidates on 2026-10-29
trust	unverified — no one has confirmed this page's content

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