Cited by 2,332Education, Achievement, and GiftednessInnovative Teaching and Learning MethodsHuman Behavior and Motivation

Development and use of the ARCS model of instructional design

Keller, John M.·1987·Journal of Instructional Development

Integrity signals

Registry

Crossref · 10.1007/bf02905780

Cites

37 of 37 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • The ARCS Model aligns with gamification: attention via challenges or visual rewards, relevance via real-world goals, confidence via scaffolded levels, and satisfaction via immediate feedback or badges.

    “The ARCS Model (i.e., Attention, Relevance, Confidence, and Satisfaction; Keller, 1987) also aligns with gamification.Attention can be captured through challenges or visual rewards; relevance by linking tasks to real-world goals; confidence by scaffolded levels; and satisfaction by immediate feedback or badges (Mese & Dursun, 2019;Özhan & Kocadere, 2020).”

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Authors
Keller, J. M.
Affiliations
Florida State University (US)
Corresponding author
Keller, John M.
Venue
Journal of Instructional Development
Published
1987-09
Volume
10
Issue
3
Pages
2-10
ISSN
0162-2641 (ISSN-L)
OpenAlex
W2056569531
Cited by
2,332
References
42
Citations by year
2026: 127 · 2025: 188 · 2024: 150 · 2023: 202 · 2022: 167 · 2021: 178 · 2020: 141 · 2019: 132 · 2018: 109 · 2017: 103 · 2016: 101 · 2015: 95 · 2014: 83 · 2013: 85 · 2012: 93
FWCI
1.76
Type
journal article
Language
en
Open access
closed
Locations
Journal of Instructional Development (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Psychology › Applied Psychology › Human Behavior and Motivation
Keywords
ARCS model, student motivation, instructional design, motives, inservice teacher education, field testing, motivation to learn

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.

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