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Gamified learning in higher education: A systematic review of the literature
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“In mathematics, incorporating game elements into the curriculum can create more dynamic and interactive experiences, motivating students to participate more actively (Sailer & Homner, 2020;Subhash & Cudney, 2018).”
From Gamification on Mathematics Engagement and Motivation in Secondary School and Higher Education: A Systematic Review and Meta-Analysis (2026) · cites this paper as Subhash & Cudney, 2018
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“…and motivation of students are aspects highlighted by Camacho-S á nchez et al. [26], Lampropoulos et al. [29], Manzano-Le ó n et al. [32], Subhash and Cudney [33], and Zainud-din et al. [16], demonstrating the ability of gamification to involve and motivate students in their educational process.”
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Metadata
- Authors
- Subhash, S., & Cudney, E. A.
- Affiliations
- Missouri University of Science and Technology (US)
- Corresponding author
- Cudney, Elizabeth A.
- ORCID
- Cudney, Elizabeth A.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 87
- Pages
- 192-206
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2804871124
- Cited by
- 1,043
- References
- 58
- Citations by year
- 2026: 211 · 2025: 189 · 2024: 138 · 2023: 139 · 2022: 125 · 2021: 108 · 2020: 96 · 2019: 31 · 2018: 5
- FWCI
- 11.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
- Social Sciences › Sociology and Political Science › Digital Games and Media
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- gamification, game-based learning, higher education, game elements, student engagement, student motivation, digital learning environments, educational technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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