Cited by 86Augmented Reality ApplicationsMobile Learning in EducationVirtual Reality Applications and Impacts

The Motivation of Technological Scenarios in Augmented Reality (AR): Results of Different Experiments

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Cabero-Almenara, Julio, Roig-Vila, Rosabel·2019·Applied Sciences

Abstract

Augmented Reality (AR) is an emergent technology that is acquiring more and more relevance in teaching every day. Together with mobile technology, this combination arises as one of the most effective binomials to support significant and ubiquitous learning. Nevertheless, this binomial can only prove valid if the student is motivated to use it during the learning process. An attempt was made through the implementation of Keller’s Instructional Material Motivational Survey model o determine the degree of motivation of Pedagogy, Medicine and Art students from the University of Seville for using AR-enriched notes available by means of mobile devices in the classroom. Three applications designed for the subjects of Educational Technology, Anatomy and Art served to assess it positively in terms of the motivation raised by the participation in the experiment, as well as regarding academic performance improvement. It can additionally be stated that our main finding was a link between students’ motivation to use the enriched notes and the performance obtained in the subject in which they use them. Evidence was also found that the utilization of Augmented Reality benefits the learning process.

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  • The content presented about exhibited elements does not consider the characteristics or needs of users.

    “as the content presented about the exhibited elements does not consider the characteristics or needs of the users.”

    From Motiv-ARCHE: co-creation of augmented reality educational content to motivate cultural and natural heritage learning (2025) · cites this paper as [9]

    Section 2.4 describes AR content about artworks and other subjects, but does not say that information about exhibited elements fails to consider users’ characteristics or needs. The Introduction recommends student-oriented design rather than reporting that deficiency. Searches for “exhibited elements,” “needs of the users,” and visitor-tailored exhibition content found no passage establishing the claim. (LLM, conf=0.74)

    Experimental — accuracy not yet measured
  • People often lack motivation to visit heritage exhibitions.

    “One problem faced by these institutions is that people often lack motivation to visit the exhibitions [8][9][10]”

    From Motiv-ARCHE: co-creation of augmented reality educational content to motivate cultural and natural heritage learning (2025) · cites this paper as [9]

    The Introduction describes an experiment with university students using AR learning materials, and §2.5 discusses motivation in an instructional context. Neither those passages nor searches for heritage exhibitions, museums, visitors, and motivation address whether people lack motivation to visit exhibitions. Page numbers were not available in our copy. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 75

  1. Pierdicca, R.; Frontoni, E.; Zingaretti, P.; Mancini, A.; Malinverni, E.S.; Tassetti, A.N.; Marcheggiani, E.; Galli, A. Smart maintenance of riverbanks using a standard data layer and Augmented Reality. Comp. Geosci. 2016, 95, 67-74. [CrossRef] · DOI
  2. Pierdicca, R.; Frontoni, E.; Pollini, R.; Trani, M.; Verdini, L. The use of augmented reality glasses for the application in industry 4.0. In Proceedings of the International Conference on Augmented Reality, Virtual Reality and Computer Graphics, Ugento, Italy, 12-15 June 2017;
  3. Reigeluth, C.M., Ed.; Lawrence Erlbaum Associates: Hillsdale, NJ, USA, 1983; pp. 386-434.
  4. Cabero, J.; Barroso, J. The educational possibilities of Augmented Reality. J. N. Approaches Educ. Res. 2016, 5, 544-550.
  5. Radu, I. Augmented reality in education: A meta-review and cross-media analysis. Pers. Ubiquitous Comput. 2014, 18, 1533-1543. [CrossRef] · DOI
  6. Bacca, J.; Baldiris, S.; Fabregat, R.; Graf, S. Augmented reality trends in education: A systematic review of research and applications. Educ. Technol. Soc. 2014, 17, 133-149.
  7. Cabero, J.; De la Horra, I.; Sánchez, J. (Eds.) La Realidad Aumentada como Herramienta Educativa; Paraninfo: Madrid, Spain, 2018.
  8. Del Río, L.; Sanz, C.; Búcari, N. Incidence of a hypermedia educational material on the Teaching and Learning of Mathematics. J. N. Approaches Educ. Res. 2019, 8, 50-57. [CrossRef] · DOI
  9. Mojarro Aliaño, Á.; Duarte Hueros, A.; Guzmán Franco, M.; Aguaded, I. Mobile learning in university contexts based on the unified theory of acceptance and use of technology (UTAUT). J. N. Approaches Educ. Res. 2019, 8, 7-17. [CrossRef] · DOI
  10. Loaiza, M.; Andrade Abarca, P.; del Cisne Salazar, Á. Determination of the innovative capacity of Ecuadorian universities. J. N. Approaches Educ. Res. 2017, 6, 57-63. [CrossRef] · DOI
  11. Azuma, R.T. A Survey of augmented reality. In Presence: Teleoperators and Virtual Environments; MIT Press: Cambridge, MA, USA, 1997; pp. 6355-6385.
  12. Vázquez Cano, E.; Sevillano-García, M.L. Ubiquitous educational use of mobile digital devices. A general and comparative study in Spanish and Latin America higher education. J. N. Approaches Educ. Res. 2018, 7, 105-115. [CrossRef] · DOI
  13. Morales, M.; Benítez, C.; Silva, D.; Altamirano, M.; Mendoza, H.M. Aplicación móvil para el aprendizaje del inglés utilizando realidad aumentada. Rev. Iberoam. Prod. Acad. Gest. Educ. 2016, 2, 1-18.
  14. Fombona, J.; Vázquez, E. Posibilidades de utilización de la Geolocalización y Realidad Aumentada en el ámbito educativo. Educ. XX1 2017, 20, 319-342.
  15. Maquilón, J.J.; Mirete, A.; Avilés, M. La Realidad Aumentada (RA). Recursos y propuestas para la innovación educativa. Rev. Interuniv. Formación Prof. 2017, 20, 183-203. [CrossRef] · DOI
  16. Wojciechowski, R.; Cellary, W. Evaluation of learners' attitude toward learning in ARIES augmented reality environments. Comp. Educ. 2013, 68, 570-585. [CrossRef] · DOI
  17. Bacca, J.; Baldirisa, S.; Fabregat, R.; Kinshuk, K. Insights into the Factors Influencing Student Motivation in Augmented Reality Learning Experiences in Vocational Education and Training. Front. Psychol. 2018, 9, 1486. [CrossRef] [PubMed] · DOI
  18. Carozza, L.; Tingdahi, D.; Bosché, F.; Gool, L. Markerless Vision-Based Augmented Reality for Urban Planning. Comp. Aided Civil Infrastruct. Eng. 2014, 29, 2-17. [CrossRef] · DOI
  19. Cubillo, J.; Martín, S.; Castro, M.; Colmenar, A. Recursos digitales autónomos mediante realidad aumentada. Rev. Iberoam. Educ. Distancia 2014, 17, 241-274.
  20. Jeřábek, T.; Rambousek, V.; Wildová, R. Specifics of Visual Perception of The Augmented Reality in The Context of Education. Procedia Soc. Behav. Sci. 2014, 159, 598-604. [CrossRef] · DOI
  21. Jamali, S.; Fairuz, M.; Wai, K.; Oskam, C.L. Utilising mobile-augmented reality for learning human anatomy. Procedia Soc. Behav. Sci. 2015, 197, 659-668. [CrossRef] · DOI
  22. Fonseca, D.; Redondo, E.; Valls, F. Motivación y mejora académica utilizando realidad aumentada para el estudio de modelos tridimensionales arquitectónicos. Educ. Knowl. Soc. 2016, 17, 1745-1764.
  23. Han, J.; Jo, M.; Hyun, E.; So, H. Examining young children's perception toward augmented reality-infused dramatic play. Educ. Technol. Res. Dev. 2015, 63, 455-474. [CrossRef] · DOI
  24. Santos, M.; Wolde, A.; Taketomi, T.; Yamamoto, G.; Rodrigo, M.; Sandor, C.; Kato, H. Augmented reality as multimedia: The case for situated vocabulary learning. Res. Pract. Technol. Enhanc. Learn. 2016, 11, 1-23. [CrossRef] [PubMed] · DOI
  25. Tekedere, H.; Göker, H. Examining the Effectiveness of Augmented Reality Applications in Education: A Meta-Analysis. Int. J. Environ. Sci. Educ. 2016, 11, 9469-9481.
  26. Marín, V. The augmented reality in the educational sphere of student of degree in childhood education. case study. Pixel Bit Rev. Medios Educ. 2017, 51, 9-24.
  27. Wang, Y. Using augmented reality to support a software editing course for college students. J. Assist. Learn. 2017, 33, 532-546. [CrossRef] · DOI
  28. Prendes, C. Realidad aumentada y educación: Análisis de experiencias prácticas. Pixel Bit Rev. Medios Educ. 2015, 46, 187-203.
  29. Alkhattabi, M. Augmented Reality as E-learning Tool in Primary Schools' Education: Barriers to Teachers' Adoption. Int. J. Emerg. Technol. Learn. 2017, 12, 91-100. [CrossRef] · DOI
  30. Cózar, R.; De Moya, M.; Hernández, J.; Hernández, J. Tecnologías emergentes para la enseñanza de las Ciencias Sociales. Una experiencia con el uso de Realidad Aumentada en la formación inicial de maestros. Digit. Educ. Rev. 2015, 27, 138-153.
  31. Garay, U.; Tejada, E.; Maiz, I. Valoración de objetos educativos enriquecidos con realidad aumentada: Una experiencia con alumnado de máster universitario. Pixel Bit Rev. Medios Educ. 2017, 50, 19-31. [CrossRef] · DOI
  32. Chen, C.M.; Tsai, Y. Interactive augmented reality system for enhancing library instruction in elementary schools. Comp. Educ. 2012, 59, 638-652. [CrossRef] · DOI
  33. Fombona, J.; Pascual, M.J.; Madeira, M.F. Realidad aumentada, una evolución de las aplicaciones de los dispositivos móviles. Píxel Bit Rev. Medios Educ. 2012, 41, 197-210.
  34. Lee, I.; Chen, C.H.; Chang, K. Augmented reality technology combined with three-dimensional holography to train the mental rotation ability of older adults. Comp. Hum. Behav. 2016, 65, 488-500. [CrossRef] · DOI
  35. Akçayır, M.; Akçayır, G. Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educ. Res. Rev. 2017, 20, 1-11. [CrossRef] · DOI · Paper page
  36. Akçayır, M.; Akçayır, O.; Pektas, H.; Ocak, M. Augmented reality in science laboratories: The effects of augmented reality on university students' laboratory skills and attitudes toward science laboratories. Comp. Hum. Behav. 2016, 57, 334-342. [CrossRef] · DOI
  37. Bicen, H.; Bal, E. Determination of student opinions in augmented reality. World J. Educ. Technol. Curr. Issues 2016, 8, 205-209. [CrossRef] · DOI
  38. Rodríguez, A.; Naranjo, M.; Duque, N. Prueba de usabilidad y satisfacción en objetos de aprendizaje con Realidad Aumentada en aplicaciones móviles. In Recursos Educativos Aumentados Una Oportunidad para la Inclusión; Baldiris, S., Ed.; Sello Editorial Tecnológico Comfenalco: Cartagena, Colombia, 2016; pp. 56-65.
  39. Cheng, K.-H. Reading an augmented reality book: An exploration of learners' cognitive load, motivation, and attitudes. Australas. J. Educ. Technol. 2017, 33, 53-69.
  40. Joo, J.; Martínez, F.; García-Bermejo, J.R. Realidad Aumentada y Navegación Peatonal Móvil con contenidos Patrimoniales: Percepción del aprendizaje. RIED Rev. Iberoam. Educ. Distancia 2017, 20, 93-118.
  41. Martínez, S.; Fernández, B. Objetos de Realidad Aumentada: Percepciones del alumnado de Pedagogía. Pixel Bit Rev. Medios Educ. 2018, 53, 207-220. [CrossRef] · DOI
  42. Cabero, J.; García, F.; Arroyo, C. La producción de objetos de aprendizaje en Realidad Aumentada para la formación universitaria en el SAV de la Universidad de Sevilla. In Experiencias Interactivas con Realidad Aumentada en las Aulas; Villaustre, L., Del Moral, M.E., Eds.; Octaedro: Barcelona, Spain, 2016; pp. 19-30.
  43. Kim, K.; Hwang, J.; Zo, H. Understanding users' continuance intention toward smartphone augmented reality applications. Inf. Dev. 2016, 32, 161-174. [CrossRef] · DOI
  44. Díaz-Nogueras, D.; Toledo-Morales, P.; Hervás-Gómez, C. Augmented reality applications attitude scale (ARAAS): Diagnosing the attitudes of future teachers. N. Educ. Rev. 2017, 50, 215-226.
  45. Carbonnel, C.; Bermejo, L. Landscape interpretation with augmented reality and maps to improve spatial orientation skill. J. Geogr. Higher Educ. 2017, 41, 119-133. [CrossRef] · DOI
  46. Del-Cerro-Velázquez, F.; Morales-Méndez, G. Realidad Aumentada como herramienta de mejora de la inteligencia espacial en estudiantes de educación secundaria. RED Rev. Educ. Distancia 2017, 53. [CrossRef] · DOI
  47. Toledo, P.; Sánchez, J.M. Realidad Aumentada en Educación Primaria: Efectos sobre el aprendizaje. Relatec. Rev. Latinoam. Tecnol. Educ. 2017, 16, 79-92.
  48. Cabero, J.; Marín, V. Blended Learning y Realidad Aumentada: Experiencias de diseño docente. RIED Rev. Iberoam. Educ. Distancia 2018, 21, 57-74.
  49. Barroso, J.; Gallego, O. Producción de recursos de aprendizaje apoyados en Realidad Aumentada por parte de los estudiantes de magisterio. Edmetic. Rev. Educ. Mediát TIC 2017, 6, 23-38.
  50. Gallego, O.; Barroso, J.; Marín, V. Análisis de la motivación de los estudiantes universitarios como productores de recursos educativos utilizando la Realidad Aumentada. Espacios 2018, 39, 8.
  51. Joo Nagata, J. Modelo de Realidad Aumentada y Navegación Peatonal del Patrimonio Territorial: Diseño, Implementación y Evaluación Educativa. PhD Thesis, Universidad de Salamanca, Instituto de Ciencias de la Educación, Salamanca, Spain, 2016.
  52. Sans, A. Métodos de investigación de enfoque experimental. In Metodología de la Investigación Educativa; Bisquerra, R., Ed.; La Muralla: Madrid, Spain, 2004; pp. 167-193.
  53. Albert, M.J. La Investigación Educativa; McGraw-Hill: Madrid, Spain, 2006.
  54. Alaminos, A. El muestreo en la investigación social. In Elaboración, Análisis e Interpretación de Encuestas, Cuestionarios y Escalas de Opinión; Alaminos, A., Castejón, J.L., Eds.; Marfil: Alcoy, Spain, 2006; pp. 46-67.
  55. Sabariego, M. El proceso de investigación (parte 2). In Metodología de la Investigación Educativa; Bisquerra, R., Ed.; La Muralla: Madrid, Spain, 2012; pp. 127-163.
  56. Keller, J.M. Strategies for stimulating the motivation to learn. Perform. Instr. 1987, 26, 1-7. [CrossRef] · DOI · Paper page
  57. Keller, J.M. Motivational Design for Learning and Performance; Springer Science + Business: New York, NY, USA, 2010.
  58. Hood Cattaneo, K. Telling Active Learning Pedagogies Apart: From theory to practice. J. N. Approaches Educ. Res. 2017, 6, 144-152. [CrossRef] · DOI
  59. Loorbach, N.; Peters, O.; Karreman, J.; Steehouder, M. Validation of the Instructional Materials Motivation Survey (IMMS) in a self-directed instructional setting aimed at working with technology. Br. J. Educ. Technol. 2015, 46, 204-218. [CrossRef] · DOI
  60. Del Moral Pérez, M.; Guzmán Duque, A.; Fernández García, L. Game-Based Learning: Increasing the Logical- Mathematical, Naturalistic, and Linguistic Learning Levels of Primary School Students. J. N. Approaches Educ. Res. 2018, 7, 31-39. [CrossRef] · DOI
  61. García Martínez, J.; Rigo, E.; Jiménez, R. Multimedia and Textual Reading Comprehension: Multimedia as Personal Learning Environment's Enriching Format. J. N. Approaches Educ. Res. 2017, 6, 3-10. [CrossRef] · DOI
  62. Bolliger, D.U.; Supanakorn, S.; Boggs, C. Impact of podcasting on student motivation in the online learning environment. Comp. Educ. 2010, 55, 714-722. [CrossRef] · DOI
  63. Castaño, C.; Maiz, I.; Garay, U. Diseño, motivación y rendimiento en un curso MOOC cooperativo. Comunicar 2015, 44, 19-26.
  64. León-Urritia, M.; Cobos, R.; Dickens, K. MOOCs and their Influence on Higher Education Institutions: Perspectives from the Insiders. J. N. Approaches Educ. Res. 2018, 7, 40-45. [CrossRef] · DOI
  65. Di Serio, A.; Blanca, M.; Delgado, C. Impact of an augmented reality system on students' motivation for a visual art course. Comp. Educ. 2013, 68, 586-596. [CrossRef] · DOI · Paper page
  66. Lu, S.; Liu, Y.-C. Integrating augmented reality technology to enhance children's learning in marine education. Environ. Educ. Res. 2015, 21, 525-541. [CrossRef] · DOI
  67. Wei, X.; Weng, D.; Liu, Y.; Wang, Y. Teaching based on augmented reality for a technical creative design course. Comp. Educ. 2015, 81, 221-234. [CrossRef] · DOI
  68. García-López, L.; Gutiérrez, D.; Pastor, J.; Romo, V. Validity and Reliability of a Questionnaire on Primary and Secondary School Teachers' Perception of Teaching a Competence-based Curriculum Model. J. N. Approaches Educ. Res. 2018, 7, 46-51. [CrossRef] · DOI
  69. Mateo, J. La investigación ex-post-facto. In Metodología de la Investigación Educativa; Bisquerra, B., Ed.; La Muralla: Madrid, Spain, 2004; pp. 195-230.
  70. Lin, T.; Been-Lirn, H.; Li, N.; Wang, H.; Tsai, C.C. An investigation of learners' collaborative knowledge construction performances and behavior patterns in an augmented reality simulation system. Comp. Educ. 2013, 68, 314-321. [CrossRef] · DOI
  71. Chang, H.; Wu, K.; Hsu, Y. Integrating a mobile augmented reality activity to contextualize student learning of a socioscientific issue. Br. J. Educ. Technol. 2013, 44, E95-E99. [CrossRef] · DOI
  72. Buitrago-Pulido, R. Incidencia de la realidad aumentada sobre el estilo cognitivo: Caso para el estudio de las matemáticas. Educ. Educ. 2015, 18, 27-41. [CrossRef] · DOI
  73. Gazcón, N. Libros Aumentados: Extensión del Concepto, Exploración e Interacciones. PhD Thesis, Universidad Nacional del Sur, Bahía Blanca, Argentina, 2015.
  74. Mehmet, H. The classification of augmented reality books: A literature review. In Proceedings of the INTED 2016 Conference, Valencia, Spain, 7-9 March 2016; pp. 4110-4118.
  75. Marín, V.; Cabero, J.; Gallego, O. Motivación y realidad aumentada: Alumnos como consumidores y productores de objetos de aprendizaje. Aula Abierta 2018, 47, 337-346. [CrossRef] · DOI

Cited by

Sorted by citations

Authors
Cabero-Almenara, J., & Roig-Vila, R.
Affiliations
  • Facultad de Ciencias de la Educación, Universidad de Sevilla, C/ Pirotecnia, S/N, 41013 Sevilla, Spain
  • University of Alicante (ES)
Corresponding author
Roig-Vila, Rosabel
Venue
Applied Sciences
Publisher
MDPI AG
Published
2019-07-19
Volume
9
Issue
14
Pages
2907
ISSN
2076-3417 (ISSN-L)
OpenAlex
W2962967470
Cited by
86
References
3
Citations by year
2026: 3 · 2025: 12 · 2024: 10 · 2023: 16 · 2022: 17 · 2021: 19 · 2020: 6 · 2019: 3
FWCI
4.87
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, cc-by-nc-nd)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Deposito de Investigacion Universidad de Sevilla (University of Seville) (submittedVersion, cc-by-nc-nd)
  • Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) (submittedVersion, other-oa)
Funders
Ministerio de Economía, Industria y Competitividad, Gobierno de España (EDU-5746-P – Rafodiun Project)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
augmented reality, student motivation, mobile learning, academic performance, pedagogy students, medical students, art students, educational technology, anatomy education, ubiquitous learning

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