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The Impact of Game Elements on Learner Motivation: Influence of Initial Motivation and Player Profile
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In: EISSN: 1939-1382 ; IEEE Transactions on Learning Technologies ; https://hal.univ-lyon2.fr/hal-03579428 ; IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TLT.2022.3153239⟩ (2022)
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Abstract:
International audience ; Several studies have been conducted in recent years into the effects of gamification on learner motivation. However, little is known about how learner profiles affect the impact of specific game elements. This research analyzes the effect of a gamified mathematic learning environment on the motivation and the motivated behaviors of 258 learners in secondary schools in France. Overall, results indicate that randomly assigned game elements generally demotivate learners. A more thorough analysis revealed that gamification has a positive impact on the most amotivated learners to do mathematic, although different effects were observed on learners. In particular, we noticed significant influences of their initial level of motivation and their player type on the variation in motivation during the study. We show that these influences vary according to the game element they used. These findings suggest that to increase efficiency, gamification should be tailored not only to the player profile but also to their level of initial motivation for the learning task.
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Keyword:
[INFO.EIAH]Computer Science [cs]/Technology for Human Learning; Gamification; Interactive learning environment; Learner motivation; Player types
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URL: https://doi.org/10.1109/TLT.2022.3153239
https://hal.univ-lyon2.fr/hal-03579428
https://hal.univ-lyon2.fr/hal-03579428/document
https://hal.univ-lyon2.fr/hal-03579428/file/IEEETLT-Reyssier.pdf
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| 2 |
Human cumulative culture and the exploitation of natural phenomena
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In: ISSN: 1471-2970 ; Philosophical Transactions of the Royal Society B: Biological Sciences ; https://hal.archives-ouvertes.fr/hal-03509412 ; Philosophical Transactions of the Royal Society B: Biological Sciences, 2022, 377 (1843), ⟨10.1098/rstb.2020.0311⟩ (2022)
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Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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| 4 |
Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
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In: Sensors; Volume 22; Issue 5; Pages: 1799 (2022)
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| 5 |
A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin
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In: Mathematics; Volume 10; Issue 8; Pages: 1307 (2022)
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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| 8 |
The “Social” in Social VR: A Linguistic Analysis of Verbal Behavior in Groups ...
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| 9 |
Technology-mediated task-based language teaching : a qualitative research synthesis
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| 10 |
How do L2 student moderators facilitate a peer-led discussion forum?
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| 11 |
Satisfacción de los estudiantes con la docencia online en tiempos de COVID-19
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 70, 2022 (Ejemplar dedicado a: Nuevos retos del profesorado ante la enseñanza digital), pags. 35-45 (2022)
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| 12 |
Mobile assisted language learning: : scope, praxis and theory
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In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 4, 2022 (Ejemplar dedicado a: Monográfico), pags. 11-25 (2022)
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| 13 |
Neural-based Knowledge Transfer in Natural Language Processing
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| 14 |
Uma abordagem complexa para aprendizagem baseada em tarefas mediada por tecnologias ; A complex approach to technology-mediated task-based learning
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In: Entrepalavras; v. 11, n. 3 (11): Linguagem e Tecnologia; 148-169 (2022)
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| 15 |
Improving Learners’ Assessment and Evaluation in Crisis Management Serious Games: an Emotion-based Educational Data Mining Approach
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In: ISSN: 1875-9521 ; Entertainment Computing ; https://hal.archives-ouvertes.fr/hal-03203938 ; Entertainment Computing, Elsevier, 2021, pp.100428. ⟨10.1016/j.entcom.2021.100428⟩ (2021)
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| 16 |
How Hermeneutic Spirals may reduce Complexity to Narrative Schemata - expanding on "Complexity and the Userly Text"
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In: https://hal.archives-ouvertes.fr/hal-03254233 ; 2021 (2021)
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| 17 |
Argumentation of Prospective Mathematics Teachers in Fraction Tasks Mediated by an Online Assessment System With Automatic Feedback
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In: Eurasia Journal of Mathematics, Science and Technology Education ; https://hal.archives-ouvertes.fr/hal-03538861 ; Eurasia Journal of Mathematics, Science and Technology Education, 2021, 17 (12), pp.em2055. ⟨10.29333/ejmste/11425⟩ (2021)
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| 18 |
The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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| 19 |
Utilising visual attention cues for vehicle detection and tracking
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In: Hu, Feiyan orcid:0000-0001-7451-6438 , Gurram Munirathnam, Venkatesh orcid:0000-0002-4393-9267 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Little, Suzanne orcid:0000-0003-3281-3471 (2021) Utilising visual attention cues for vehicle detection and tracking. In: 25th International Conference on Pattern Recognition (ICPR2020), 10-15 Jan 2021, Milan, Italy (Online). (2021)
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cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
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In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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