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Towards Valid Stealth Assessment: Developing a Novel Assessment Mechanic for a Fraction Learning Game

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Games hold promise as assessment tools, but the mechanics used must first be validated. Accordingly, we examined a novel implementation of an unbounded number line estimation task to assess students’ fraction comparison competence, laying the groundwork for designing a stealth assessment for math games. Sixty-eight Finnish 6th graders played a math game in which they estimated fraction magnitudes on an unbounded number line. Additionally, the students completed a non-game assessment based on a traditional fraction comparison task using the same fractions, as a part of a counterbalanced design. Overall, the results showed many similarities between the assessment conditions, including a typically observed distance effect, a similar correlation with general math achievement, and a moderate positive correlation between the conditions. However, comparison performance was lower in the game assessment. Further, the performance classifications based on whole number ordering consistent and inconsistent comparison tasks showed only a slight agreement between the game and non-game assessments. This suggests that the two approaches may capture different aspects of performance, with the game assessment potentially yielding misleading learning analytics and inappropriate pedagogical decisions. Also, motivational measures suggested challenges with the unbounded tasks, as students’ flow experience was significantly lower in the game condition. The results underscore the need to carefully evaluate theoretically informed assessment mechanics and highlight the importance of further research to establish the unbounded number line task as a valid measure of fraction comparison competence.

Original languageEnglish
Title of host publicationGames and Learning Alliance - 14th International Conference, GALA 2025, Proceedings
EditorsSander Bakkes, Francesco Bellotti, Pierpaolo Dondio, Manuel Ninaus, Vanissa Wannick, Antonio Bucchiarone
PublisherSpringer
Pages45-54
Number of pages10
Edition1
ISBN (Electronic)9783032110435
ISBN (Print)9783032110428
DOIs
Publication statusE-pub ahead of print - 2 Jan 2026
Publication typeA4 Article in conference proceedings
EventInternational Conference on Games and Learning Alliance - Utrecht, Netherlands
Duration: 19 Nov 202521 Nov 2025
Conference number: 14
https://conf.seriousgamessociety.org/gala-2025-utrecht/

Publication series

NameLecture Notes in Computer Science
Volume16307 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Games and Learning Alliance
Abbreviated titleGALA
Country/TerritoryNetherlands
CityUtrecht
Period19/11/2521/11/25
Internet address

Keywords

  • Fraction
  • Game-based assessment
  • Serious game
  • Stealth assessment
  • Unbounded number line estimation task

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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