Cited by 59Educational Games and GamificationDigital Games and MediaOnline Learning and Analytics

Gamification design framework based on SDT for student motivation

Lamprinou, Dimitra, Paraskeva, Fotini·2015·2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)

Abstract

Gamification is a new technique in instructional design that gains more and more attention in the elearning field. The implementation of gamification systems varies on different fields, such as sales, web design, marketing, education etc. There are many examples of applied gamification, such as international companies that use game elements in their applications in order to increase the users' motivation through a gamified process. In this paper we outline the design of a gamified scenario with the use of structural and content gamification to increase student intrinsic motivation based on the Self-Determination Theory. Besides, the use of game elements, thus game-design techniques, make the learning process more “fun” and maintain the realistic purpose of its situation. However, the process of increasing motivation has a level of complexity, since rewards and other game elements trigger extrinsic motivation. As such this study investigates students' intrinsic motivation by designing and implementing an eClass through practical usage of gamification based on the core components of Self Determination Theory (SDT), so as to improve student engagement in class. According to the findings the use of gamification in learning and instructional design can improve student motivation. This gamified elearning course can be used as an instructional tool to increase the levels of motivation and achieve all the learning outcomes and goals with the higher success rate in online education. Further research is required to confirm these theoretical findings.

Integrity signals

Registry

Crossref · 10.1109/imctl.2015.7359631

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • SDT has been used as a framework to investigate student's motivation and engagement in online learning along with gamification.

    “As a part of online learning along with gamification, it has been used as a framework to investigate student's motivation and engagement (Dichev, Dicheva, Angelova, & Agre, 2015;Lamprinou & Paraskeva, 2015;Sailer, Hense, Mayr, & Mandl, 2017;Shi & Cristea, 2016).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lamprinou, D., & Paraskeva, F.
Affiliations
University of Piraeus (GR)
Venue
2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)
Publisher
IEEE
Published
2015-11
Pages
406-410
OpenAlex
W2216158336
Cited by
59
References
12
Citations by year
2026: 1 · 2025: 4 · 2024: 9 · 2023: 10 · 2022: 9 · 2021: 11 · 2020: 3 · 2019: 2 · 2018: 6 · 2017: 3 · 2016: 1
FWCI
9.81
Type
conference paper
Language
en
Open access
closed
Locations
  • International Conference on Interactive Mobile Communication, Technologies and Learning (publishedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
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, self-determination theory, student motivation, intrinsic motivation, extrinsic motivation, game elements, online learning, student engagement, instructional design

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 ›

Are you an author, or do you see a problem with this page? Request a review