Aplicações da Teoria das Inteligências Múltiplas em Ambientes Educacionais Digitais: Uma revisão sistemática de literatura
Resumo
Este artigo apresenta uma Revisão Sistemática da Literatura sobre a aplicação da Teoria das Inteligências Múltiplas no desenvolvimento de ambientes educacionais digitais, com objetivo de identificar, mapear e descrever como a teoria tem sido operacionalizada nesses ambientes, com foco em sua integração funcional e pedagógica. Foram analisados 106 estudos publicados entre 2000 e 2025, selecionados em cinco bases de dados. Observou-se uma dispersão conceitual e metodológica, dificultando a padronização na classificação e avaliação desses ambientes. A integração da teoria ocorreu de forma estruturada em parte significativa dos estudos, mas com ênfase desproporcional em algumas inteligências, além de um distanciamento do conceito de personalização, que muitas vezes carece de alinhamento com os fundamentos pedagógicos da teoria. Conclui-se que a aplicação da Teoria das Inteligências Múltiplas em ambientes educacionais digitais ainda demanda modelos integrados e rigor metodológico que favoreçam a diversidade cognitiva como princípio orientador do desenvolvimento tecnológico, para efetivamente valorizar os diferentes estilos de aprendizados dos estudantes e desenvolver suas diferentes inteligências.Referências
Ahmadian, M. and Jalilian, V. (2012). A study of the relationship between iranian efl learners’ level of spatial intelligence and their performance on analytical and perceptual cloze tests. English Language Teaching, 5(3):202 – 216. (Estudo de ID: 45).
Ali, B. and Zaman, H. B. (2008). Multimedia mathematics courseware based on the multiple intelligences model (mi-maths). In 2008 International Symposium on Information Technology, volume 2, pages 1–5. (Estudo de ID: 9).
Alves Dos Santos, R., Pozzebon, E., Frigo, L. B., and Marcelino, R. (2015). Remote experimentation model based on digital tv. In Proceedings of the IEEE International Conference on Experiments/Process/System Modeling/Simulation/Optimization (EXPAT), pages 321–324. (Estudo de ID: 94).
Amorim, T., Tapparo, L., Marranghello, N., Silva, A. C. R., and Pereira, A. S. (2014). A multiple intelligences theory-based 3d virtual lab environment for digital systems teaching. In Proceedings of the 2014 International Conference on Computational Science (ICCS), volume 29, pages 1413–1422. (Estudo de ID: 65).
Azid, N., Hashim, R., Kiong, T. T., and Heong, Y. M. (2019). The effect of interactive multiple intelligences activities flip module: Its effects on students’ multiple intelligences. International Journal of Innovative Technology and Exploring Engineering, 8(11):342 – 348. (Estudo de ID: 28).
Azid, N., Yusoff, N., Rawian, R., Sabarudin, N., and Ishak, M. Z. (2020). Evaluating user experience of using cerdik bm series 1 interactive pedagogical tool. International Journal of Instruction, 13(4):409–426. (Estudo de ID: 29).
Aziz, N., Roseli, N. H. M., and Mutalib, A. A. (2011). Visually impaired children’s acceptances on assistive courseware. American Journal of Applied Sciences, 8(10):1019–1026. (Estudo de ID: 80).
Baoling, G. and Tao, L. (2021). Research on the application of knowledge graph in the integrated course steam. In 2021 International Symposium on Computer Technology and Information Science (ISCTIS), pages 397–405. (Estudo de ID: 12).
Bates, A. W. (2022). Teaching in a Digital Age: Guidelines for Designing Teaching and Learning. Tony Bates Associates Ltd., 3rd edition.
Baulch, S., Macdonald, R., Pulsifer, P. L., and Fraser Taylor, D. (2005). Chapter 21 cybercartography for education: the case of the cybercartographic atlas of antarctica. Modern Cartography Series, 4(C):491 – 515. (Estudo de ID: 55).
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., and Krathwohl, D. R., editors (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain. David McKay Company, Inc., New York.
Cabada, R. Z., Estrada, M. L. B., Barrientos, E. U., Velásquez, M. O., and García, C. A. R. (2008). Multiple intelligence tutoring systems for mobile learners. In Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT), pages 652–653. (Estudo de ID: 81).
Cabral Melo, P. D. O., Marques Gomes Mendes, R. C., Pereira Linhares, F. M., and Guedes, T. G. (2022). Production and use of educational technologies in nursing post-graduation. Revista Brasileira De Enfermagem, 75(5). (Estudo de ID: 79).
Cai, L., Liu, F., and Liang, Z. (2010). The research and application of education game design model in teaching chinese as a foreign language. In 2010 IEEE International Conference on Progress in Informatics and Computing, volume 2, pages 1241–1245. (Estudo de ID: 3).
Chandrasekhar, U. and Khare, N. (2021). An intelligent tutoring system for new student model using fuzzy soft set-based hybrid optimization algorithm. Soft Computing, 25(24):14979–14992. (Estudo de ID: 25).
Chikh, A. and Hank, S. (2016). Towards a cooperative learning approach using intelligence based learners grouping. Computer Applications in Engineering Education, 24(4):639 – 650. (Estudo de ID: 38).
Choo, Y. B., Abdullah, T., and Nawi, A. M. (2020). Digital storytelling vs. oral storytelling: An analysis of the art of telling stories now and then. Universal Journal of Educational Research, 8(5A):46–50. (Estudo de ID: 104).
Chuang, T.-y. and Su, S.-h. (2012). Using mobile console games for multiple intelligences and education. International Journal of Mobile Learning and Organisation, 6(3-4):204 – 217. (Estudo de ID: 52).
Cipriani, A., Core, V., and Giri, M. (2015). Technique, creation, perception and experience in the learning of electroacoustic music: Some practical proposals. Organised Sound, 20(1):40–50. (Estudo de ID: 75).
Dantas, A., Melo, S., Fernandes, M., Lima, L., and Nascimento, M. (2018). Recomendação de estratégias pedagógicas através de emoções, perfis de personalidade e inteligências múltiplas utilizando raciocínio baseado em casos. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE), 29(1):1213–1222.
de Moura, F., Franco, L., de Melo, S., and Fernandes, M. (2013). Evolução das inteligências múltiplas pelo método da espiral de aprendizagem de kolb utilizando pso. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE), 24(1):848–857.
Dhandabani, L. and Sukumaran, R. (2015). Use of multiple intelligences and instructional technologies in learning theory of computation: An experimental case study. In Proceedings of the International Conference on Advanced Computing and Communication Systems (ICACCS), pages 1–6. (Estudo de ID: 88).
Dong, J. and Huang, Z. (2020). Design of art interactive teaching system based on multiple intelligence theory. International Journal of Information and Communication Technology, 16(3):191–202. (Estudo de ID: 97).
Echeverría Desiderio, S. V., Chenche Jácome, W. L., Mejía Caguana, D. R., and Espinosa Izquierdo, J. G. (2022). Desarrollo de inteligencias múltiples usando tecnologías. Horizontes. Revista de Investigación en Ciencias de la Educación, 6(22):172–186. (Estudo de ID: 105).
Eltahir, M., Annamalai, N., Zyoud, S., Al Salhi, N., and Zakarneh, B. (2023). Exploring the adoption of multiple intelligences in micro credentials by educators in malaysian higher education. The Qualitative Report, 28(12):3514–3535. (Estudo de ID: 60).
Etxebarria, B., Sanchez, F., Rojo, N., and Barona, A. (2022). Multiple intelligence informed resources for addressing sustainable development goals in management engineering. Sustainability, 14(14). (Estudo de ID: 19).
Farrimond, B., Bonar-law, J., and Hetherington, R. (2007). Kiddy cad: a child friendly parametric approach for 3d modeling software. Computer-aided Design and Applications, 4(1-4):415 – 425. (Estudo de ID: 54).
Ferreira, F. Z., De Souza, R. L., Vargas, A. P., Teixeira, D. D. L., Dos Santos, M. N., Paes, W. D. O., Dos Santos, R. A. P., Tonin, N., Evald, P. J. D. D. O., and Botelho, S. S. D. C. (2022). Model for evaluation of multiple abilities programming problems in online massive environments. Journal of the Brazilian Computer Society, 28(1):104–117. (Estudo de ID: 117).
Garcia-Redondo, P., Garcia, T., Areces, D., Nunez, J. C., and Rodriguez, C. (2019). Serious games and their effect improving attention in students with learning disabilities. International Journal of Environmental Research and Public Health, 16(14). (Estudo de ID: 27).
García, C. M. and Mohedano, R. E. (2022). Study of predominant multiple intelligences in bilingual didactic audiovisual media; [estudio de las inteligencias múltiples predominantes en medios audiovisuales didácticos bilingües]. Techno Review. International Technology, Science and Society Review / Revista Internacional De Tecnología, Ciencia Y Sociedad, 11. (Estudo de ID: 21).
Gardner, H. (1999). Intelligence Reframed: Multiple Intelligences for the 21st Century. Basic Books, New York.
Gardner, H. (2000). Inteligências Múltiplas: A Teoria na Prática. Artmed, Porto Alegre.
Gardner, H. (2006). Multiple Intelligences: New Horizons. Basic Books, New York.
Gardner, H. (2011). Frames of Mind: The Theory of Multiple Intelligences. Basic Books, New York, 2nd edition.
Garmen, P., Areces, D., García, T., San-Pedro, J. C., and Rodríguez, C. (2024). Can serious games measure your cognitive profile in adults? an innovative proposal to evaluate and stimulate cognitive skills. Universal Access in the Information Society, 23(1):155–166. (Estudo de ID: 14).
Garmen, P., Rodríguez, C., García-Redondo, P., and San-Pedro-Veledo, J. (2019). Multiple intelligences and video games: Assessment and intervention with toi software. Comunicar, 58:95–104. (Estudo de ID: 34).
Gunathilaka, T. M. A. U., Fernando, M. S. D., and Pasqual, H. (2017). Identification of the learning behavior of the students for education personalization. In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pages 364–370. (Estudo de ID: 11).
Gunawan, S. and Shieh, C.-J. (2023). Enhancing business students’ self-efficacy and learning outcomes: A multiple intelligences and technology approach. Contemporary Educational Technology, 15(4). (Estudo de ID: 62).
Hafidi, M. and Bensebaa, T. (2014). Developing adaptive and intelligent tutoring systems (aits): a general framework and its implementations. International Journal of Information and Communication Technology Education, 10(4):70 – 85. (Estudo de ID: 40).
Hafidi, M. and Bensebaa, T. (2015). Architecture for an adaptive and intelligent tutoring system that considers the learner’s multiple intelligences. International Journal of Distance Education Technologies, 13(1):1 – 21. (Estudo de ID: 42).
Hafidi, M. and Lamia, M. (2015). A personalized adaptive e-learning system based on learner’s feedback and learner’s multiple intelligences. In 2015 12th International Symposium on Programming and Systems (ISPS), pages 1–6. (Estudo de ID: 2).
Hank, S. and Chikh, A. (2019). A new recommendation method for pertinent collaborative learners based on their intelligence and a fuzzy measure. International Journal of Technology Enhanced Learning, 11(3):279 – 303. (Estudo de ID: 37).
Hernández-Barco, M., Cañada-Cañada, F., Corbacho-Cuello, I., and Sánchez-Martín, J. (2021). An exploratory study interrelating emotion, self-efficacy and multiple intelligence of prospective science teachers. Frontiers in Education, 6. (Estudo de ID: 22).
Hernández-Torrano, D., Ferrándiz, C., Ferrando, M., Prieto, L., and Fernández, M. C. (2013). La teoría de las inteligencias múltiples en la identificación de alumnos de altas habilidades (superdotación y talento). Anales de Psicología / Annals of Psychology, 30(1):192–200. (Estudo de ID: 49).
Hetherington, R. G., Sood, S., and Advani, B. (2002). A prototype distributed adaptive learning system. In Proceedings of the Conference on Information Engineering (CIE), pages 576–577 vol.1. (Estudo de ID: 84).
Hollander, J. B. (2012). Intelligent participation: Engaging citizens through a framework of multiple intelligences. Community Development, 43(3):346 – 360. (Estudo de ID: 47).
Hong, J.-C., Hwang, M.-Y., and Tsai, C.-R. (2021). The effect of object-free and object-related intelligences on hands-on making self-efficacy and attitude toward quality improvement. International Journal of Science and Mathematics Education, 19(4):863–879. (Estudo de ID: 76).
Huang, M.-H. and Rust, R. T. (2022). A framework for collaborative artificial intelligence in marketing. Journal of Retailing, 98(2):209–223. (Estudo de ID: 102).
Jung, J.-H. and Chang, D.-R. (2017). Types of creativity—fostering multiple intelligences in design convergence talents. Thinking Skills and Creativity, 23:101–111. (Estudo de ID: 32).
Kaewkiriya, T. (2016). Design of a mobile e-learning forecasting system based on a case study using multiple intelligence analysis. International Journal of Electronic Commerce Studies, 7(2):189 – 200. (Estudo de ID: 44).
Kelly, D. and Tangney, B. (2006). Adapting to intelligence profile in an adaptive educational system. Interact. Comput., 18(3):385–409. (Estudo de ID: 1).
Khawas, C. and Sebastian, S. (2016). An android based application to know your multiple intelligences. In Proceedings of the IEEE International Conference on Signal Processing, Computing and Control (SCOPES), pages 1170–1175. (Estudo de ID: 91).
Kitchenham, B. (2007). Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE-2007-01, EBSE Technical Report, School of Computer Science and Mathematics, Keele University; Department of Computer Science, University of Durham, UK.
Kose, U. (2013). An artificial neural networks based software system for improved learning experience. In 2013 12th International Conference on Machine Learning and Applications, volume 2, pages 549–554. (Estudo de ID: 5).
Kose, U. and Arslan, A. (2017). Optimization of self-learning in computer engineering courses: An intelligent software system supported by artificial neural network and vortex optimization algorithm. Computer Applications in Engineering Education, 25(1):142–156. (Estudo de ID: 39).
Kovalenko, N. (2019). Astronomy: Learning theories applicable for education in planetarium environment. In International Symposium on Education in Astronomy and Astrobiology (ISE2A 2017), volume 200. (Estudo de ID: 111).
Kurniawan, A., Rustaman, N. Y., Kaniawati, I., and Hasanah, L. (2019). Development of multiple intelligence test instrument for teen students in perspective of physics learning. In International Conference on Mathematics and Science Education (ICMSCE 2018), volume 1157. (Estudo de ID: 87).
Laurillard, D. (2012). Teaching as a Design Science: Building Pedagogical Patterns for Learning and Technology. Routledge, New York and Abingdon.
Liu, W., Tan, L., Huang, D., Chen, N., and and, F. L. (2021). When preschoolers use tablets: The effect of educational serious games on children’s attention development. International Journal of Human–Computer Interaction, 37(3):234–248. (Estudo de ID: 30).
Ma, Y. and Yu, G. (2024). Construction of a teaching platform of modern and contemporary chinese literature from the perspective of diversified intelligence. International Journal of E-Collaboration, 20(1). (Estudo de ID: 100).
Machin, I. T. (2018). Intelligent tutor for programming system using multiple intelligences. Ieee Latin America Transactions, 16(2):634–638. (Estudo de ID: 66).
Machin Torres Ive, I. T. (2018). Intelligent tutor for programming system using multiple intelligences. IEEE Latin America Transactions, 16(2):634–638. (Estudo de ID: 6).
Magnoni, D., Offenbacher, C., and Kejriwal, A. (2012). Creating a materials samples collection to support the engineering curriculum. Library Management, 33(8):511–524. (Estudo de ID: 89).
Maulany, G. J., Santosa, P. I., and Hidayah, I. (2024a). Boosting performance classification of multiple intelligence learning styles in learning management system using feature extraction technique. In 2024 International Conference on ICT for Smart Society (ICISS), pages 1–6. (Estudo de ID: 4).
Maulany, G. J., Santosa, P. I., and Hidayah, I. (2024b). Multiple intelligence learning style detection in e-learning using support vector machine (svm) algorithm. In 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), pages 250–255. (Estudo de ID: 8).
Mazaheri, S. and Fatemi, O. (2014). An adaptive e-learning system based on gardner’s eight intelligence theory. In 2014 6th Conference on Information and Knowledge Technology (IKT), pages 128–133. (Estudo de ID: 7).
Mirzaei, A., Domakani, M. R., and and, N. H. (2014). Exploring the relationship between reading strategy use and multiple intelligences among successful l2 readers. Educational Psychology, 34(2):208–230. (Estudo de ID: 48).
Mishra, P. and Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6):1017–1054.
Mohamad, S. N. M., Salam, S., Bakar, N., and Sui, L. K. M. (2014). Online multiple intelligence teaching tools (on-mitt) for enhancing interpersonal teaching activities. AIP Conference Proceedings, 1605(1):786–791. (Estudo de ID: 73).
Moise, G. (2007). A software system for online learning applied in the field of computer science. International Journal of Computers Communications & Control, 2(1):84–93. (Estudo de ID: 78).
Moral-pérez, M. E. D., Fernández-garcía, L. C., and Guzmán-duque, A. P. (2015). Videogames: Multisensory incentives boosting multiple intelligences in primary education. Electronic Journal of Research in Educational Psychology, 13((2)36):243 – 270. (Estudo de ID: 43).
Moura, F. F. D., Franco, L. M., Melo, S. L. D., and Fernandes, M. A. (2013). Development of learning styles and multiple intelligences through particle swarm optimization. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 835–840. (Estudo de ID: 83).
Nee, C. K., Ibrahim, N. H., and Yahaya, N. (2015). Designing an imleaming app as formulated ideal personalised social collaborative mobile learning environment. In Proceedings of the IEEE Conference on e-Learning, e-Management and e-Services (IC3e), pages 153–157. (Estudo de ID: 95).
Ning, Y. (2022). A new model of multiple intelligence for teaching english informatics in the iot scenario. Computational Intelligence and Neuroscience, 2022. (Estudo de ID: 23).
Nkambou, R., Bourdeau, J., and Mizoguchi, R., editors (2010). Advances in Intelligent Tutoring Systems, volume 308 of Studies in Computational Intelligence. Springer-Verlag, Berlin, Heidelberg, 1 edition.
Noval, B. A., Safrodin, M., and Hakkun, R. Y. (2019). Battlebot: Logic learning based on visual programming implementation in multiplayer game online. In Proceedings of the 2019 IEEE International Electronics Symposium (ELECSYM), pages 138–142. (Estudo de ID: 113).
OECD (2015). Students, computers and learning: Making the connection. Technical report, Organisation for Economic Co-operation and Development (OECD), Paris.
Oviedo, D., Romero-Ternero, M., Hernández, M., Sivianes, F., Carrasco, A., and Escudero, J. (2014). Multiple intelligences in a multiagent system applied to telecontrol. Expert Systems with Applications, 41(15):6688–6700. (Estudo de ID: 61).
Pantano, E. and Scarpi, D. (2022). I, robot, you, consumer: Measuring artificial intelligence types and their effect on consumers emotions in service. Journal of Service Research, 25(4):583–600. (Estudo de ID: 74).
Perveen, A. (2018). Facilitating multiple intelligences through multimodal learning analytics. Turkish Online Journal of Distance Education, 19(1):18 – 30. (Estudo de ID: 31).
Piaget, J. (1950). The Psychology of Intelligence. Routledge, London.
Pitychoutis, K. M. and Al Rawahi, A. (2024). Smart teaching: The synergy of multiple intelligences and artificial intelligence in english as a foreign language instruction. Forum for Linguistic Studies, 6(6):249–260. (Estudo de ID: 108).
Pomázi, K., Gazdi, L., Radostyán, B., Szabó, M., Szegletes, L., and Forstner, B. (2016). Self-standardizing cognitive profile based on gardner’s multiple intelligence theory. In 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pages 317–322. (Estudo de ID: 82).
Quesada-Real, F. J., Perez-Pena, F., Morgado-Estevez, A., and Ruiz-Lendinez, J. J. (2024). Applying active learning by contextualizing robotic applications to historical heritage. Computer Applications in Engineering Education, 32(1). (Estudo de ID: 67).
Quispe Sanabria, E. M., Campos Carpena, L. P., and Mantari Mincami, L. D. (2021). Multiple intelligences and technology learning in peruvian university students. Eduweb - Revista de Tecnología de Información y Comunicación en Educación, 15(2):42–54. (Estudo de ID: 107).
Rahbarnia, F., Hamedian, S., and Radmehr, F. (2014). A study on the relationship between multiple intelligences and mathematical problem solving based on revised bloom taxonomy. Journal of Interdisciplinary Mathematics, 17(2):109 – 134. (Estudo de ID: 50).
Ramallal, P. M., Garbellini, A. B., and Serrano, D. P. (2024). Augmented reality, driving for creativity and multi-intelligences at the university. Edmetic, 13(2). (Estudo de ID: 85).
Rashid, M. A., Riaz, Z., Sayin, E., Qureshi, H. A., Yilmaz, G., Shami, M.-u.-d., and Ping, H.-p. (2011). Strategic e-commerce model driven-architecture for e-learning: Tqm & e-erp perspective. In Proceedings of PICMET ’11: Technology Management in the Energy Smart World. (Estudo de ID: 96).
Razak, N. A. and Zaini, N. (2014). Multiple intelligence scores of science stream students and their relation with reading competency in malaysian university english test (muet). English Language Teaching, 7(2):63 – 72. (Estudo de ID: 46).
Rezki, N., Kazar, O., Mouss, L. H., Kahloul, L., and Rezki, D. (2016). On the use of multi-agent systems for the monitoring of industrial systems. Journal of Industrial Engineering International, 12(1):111 – 118. (Estudo de ID: 41).
Rodrangsee, B., Tuntiwongwanich, S., Pimdee, P., and Moto, S. (2022). Development of an online active learning model using the theory of multiple intelligence to encourage thai undergraduate student analytical thinking skills. Journal of Higher Education Theory and Practice, 22(12):63 – 75. (Estudo de ID: 20).
Rosa, I. S., Liliawati, W., and Efendi, R. (2021). Design and validation smart teaching materials oriented multiple intelligences on global warming (stm2i-glow): Rasch model analysis. In International Conference on Mathematics and Science Education (ICMSCE 2020), volume 1806. (Estudo de ID: 86).
Rückert, F. U., Hülsmann, X., and Junker, A. (2021). Multiple intelligence theory for gamification of online stem modules. In Proceedings of the IEEE Conference on Online Teaching for Mobile Education (OT4ME), pages 78–81. (Estudo de ID: 110).
Ruiz-Vanoye, J. A., Diaz-Parra, O., Fuentes-Penna, A., Simancas-Acevedo, E., and Barrera-Camara, R. A. (2024). Artificial intelligences in industrial robots: A framework based on gardner’s multiple intelligences. International Journal of Combinatorial Optimization Problems and Informatics, 15(4):118–129. (Estudo de ID: 98).
Sajjadi, P., Vlieghe, J., and De Troyer, O. (2016). Evidence-based mapping between the theory of multiple intelligences and game mechanics for the purpose of player-centered serious game design. In Proceedings of the 8th International Conference on Virtual Worlds and Games for Serious Applications (VS-GAMES), pages 1–8. (Estudo de ID: 93).
Sanchez-martin, J., Alvarez-gragera, G. J., Davila-acedo, M. A., and Mellado, V. (2017). Teaching technology: From knowing to feeling enhancing emotional and content acquisition performance through gardner’s multiple intelligences theory in technology and design lessons. Journal of Technology and Science Education, 7(1):58 – 79. (Estudo de ID: 33).
Selwyn, N. (2017). Education and Technology: Key Issues and Debates. Bloomsbury Academic, London; New York, 2nd edition.
Sha, C., Xu, M., and Lu, C. (2022). Design of real-time cloud sharing algorithm for second classroom activities in higher vocational education based on intelligent terminal equipment. In Proceedings of the 2022 IEEE International Conference on Innovative Research in Computer Science and Applications (ICIRCA), pages 1677–1680. (Estudo de ID: 115).
Sluis-Thiescheffer, R. J. W., Bekker, M. M., Eggen, J. H., Vermeeren, A. P. O. S., and De Ridder, H. (2011). Development and application of a framework for comparing early design methods for young children. Interacting with Computers, 23(1):70–84. (Estudo de ID: 77).
Smith, C. (2006). Multiple cultures, multiple intelligences: Applying cognitive theory to usability of digital libraries. Libri, 56(4):227–238. (Estudo de ID: 114).
Starks, K. (2014). Cognitive behavioral game design: A unified model for designing serious games. Frontiers in Psychology, 5. (Estudo de ID: 90).
Su, J. D. (2024). A teaching management system for physical education in colleges and universities using the theory of multiple intelligences and svm. Soft Computing, 28:685–701. (Estudo de ID: 58).
Sun, T. (2024). Practical teaching of music curriculum in colleges and universities based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 16).
Sánchez-martín, J., Álvarez gragera, G. J., Dávila-acedo, M. A., and Mellado, V. (2017). What do k-12 students feel when dealing with technology and engineering issues? gardner’s multiple intelligence theory implications in technology lessons for motivating engineering vocations at spanish secondary school. European Journal of Engineering Education, 42(6):1330 – 1343. (Estudo de ID: 36).
Tang, H., He, Y., Wang, X., Zheng, H., Xu, B., Zhao, W., and Wu, H. (2024). Two-stage multi-mode voltage control for distribution networks: A deep reinforcement learning approach based on multiple intelligences. IEEE Transactions on Industry Applications, 60(4):5681–5691. (Estudo de ID: 106).
Tirri, K., Ryhänen, T., and Nokelainen, P. (2005). The intelligence profile of finnish peacekeepers. Gifted and Talented International, 20(2):19 – 30. (Estudo de ID: 56).
Ulum, M. B. and Tundjungsari, V. (2018). Designing fuzzy expert system to identify child intelligence. Telkomnika (telecommunication Computing Electronics and Control), 16(4):1688 – 1696. (Estudo de ID: 35).
UNESCO (2018). Ict competency framework for teachers.
Valeiras, N., Meneses-Villagra, J., and Godoy, L. A. (2005). Distributed learning using online learning and computer simulations for solid waste management. In Proceedings of the IEEE International Conference on Information Technology Based Higher Education and Training (ITHET), pages T4A/27–T4A/32. (Estudo de ID: 99).
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge, Massachusetts and London, England.
Wang, D. (2022). Analysis of multimedia teaching path of popular music based on multiple intelligence teaching mode. Advances in Multimedia, 2022. (Estudo de ID: 24).
Wazlawick, R. S. (2014). Metodologia de Pesquisa para Ciência da Computação. Elsevier Editora Ltda., Rio de Janeiro, 2 edition.
Wiyono, K., Ismet, I., Noprianti, N., Permawati, H., Saparini, S., and Zakiyah, S. (2019). Interactive multimedia using multiple-intelligences-based in the lesson of thermodynamics for high school. 3rd Sriwijaya University Learning and Education International Conference (SULE-IC 2018), 1166. (Estudo de ID: 69).
Wongthongtham, P., Chan, K. Y., Potdar, V., Abu-Salih, B., Gaikwad, S., and Jain, P. (2018). State-of-the-art ontology annotation for personalised teaching and learning and prospects for smart learning recommender based on multiple intelligence and fuzzy ontology. International Journal of Fuzzy Systems, 20(4):1357–1372. (Estudo de ID: 57).
Yu, M. (2024). Research on the aesthetic value of piano playing art based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 18).
Yue, H. (2024). Exploring the teaching reform of music appreciation course in polytechnic institutions combined with students’ memory characteristics. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 15).
Zajac, M. (2009). Using learning styles to personalize online learning. Campus-wide Information Systems, 26(3):256 – 265. (Estudo de ID: 53).
Zambrano, L. O. A., Ruiz, D. V. P., Arias, E. J. J., and Chalacán, L. J. M. (2020). Analysis of the critical success factors of projects for engineering thinking development. Neutrosophic Sets and Systems, 37:215 – 223. (Estudo de ID: 26).
Zatarain, R., Barrón-estrada, L., Reyes-garcía, C. A., and Reyes-galaviz, O. F. (2010). Applying intelligent systems for modeling students’ learning styles used for mobile and web-based systems. Studies in Computational Intelligence, 318:3 – 22. (Estudo de ID: 51).
Zhang, J. (2023). Piano playing gesture recognition based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 13).
Zhang, J., Chen, W., Wang, J., and Wang, Y. (2024). Educational practices to enhance learners’ intrinsic motivation — based on the learning process of medical students in a specialized creative integration project. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 17).
Zhang, Y. (2015). A multiple fuzzy evaluation model of physical education in general colleges and universities for knowledge engineering. Chemical Engineering Transactions, 46:589–594. (Estudo de ID: 103).
Zhang, Z., Sheng, S., Liu, R., Song, P., Duan, F., and Asama, H. (2016). Design of a hierarchical intelligence architecture based on multiple intelligences. In 2016 International Conference on Advanced Robotics and Mechatronics (ICARM), pages 473–478. (Estudo de ID: 10).
Zuo, M., Wang, Y., Yu, Y., and Chen, L. (2007). The designing strategy of rpg game-learning under the instruction of multiple intelligence theory. In Proceedings of the Frontiers in Education Conference (FIE), pages S2D–24–S2D–28. (Estudo de ID: 92).
Ali, B. and Zaman, H. B. (2008). Multimedia mathematics courseware based on the multiple intelligences model (mi-maths). In 2008 International Symposium on Information Technology, volume 2, pages 1–5. (Estudo de ID: 9).
Alves Dos Santos, R., Pozzebon, E., Frigo, L. B., and Marcelino, R. (2015). Remote experimentation model based on digital tv. In Proceedings of the IEEE International Conference on Experiments/Process/System Modeling/Simulation/Optimization (EXPAT), pages 321–324. (Estudo de ID: 94).
Amorim, T., Tapparo, L., Marranghello, N., Silva, A. C. R., and Pereira, A. S. (2014). A multiple intelligences theory-based 3d virtual lab environment for digital systems teaching. In Proceedings of the 2014 International Conference on Computational Science (ICCS), volume 29, pages 1413–1422. (Estudo de ID: 65).
Azid, N., Hashim, R., Kiong, T. T., and Heong, Y. M. (2019). The effect of interactive multiple intelligences activities flip module: Its effects on students’ multiple intelligences. International Journal of Innovative Technology and Exploring Engineering, 8(11):342 – 348. (Estudo de ID: 28).
Azid, N., Yusoff, N., Rawian, R., Sabarudin, N., and Ishak, M. Z. (2020). Evaluating user experience of using cerdik bm series 1 interactive pedagogical tool. International Journal of Instruction, 13(4):409–426. (Estudo de ID: 29).
Aziz, N., Roseli, N. H. M., and Mutalib, A. A. (2011). Visually impaired children’s acceptances on assistive courseware. American Journal of Applied Sciences, 8(10):1019–1026. (Estudo de ID: 80).
Baoling, G. and Tao, L. (2021). Research on the application of knowledge graph in the integrated course steam. In 2021 International Symposium on Computer Technology and Information Science (ISCTIS), pages 397–405. (Estudo de ID: 12).
Bates, A. W. (2022). Teaching in a Digital Age: Guidelines for Designing Teaching and Learning. Tony Bates Associates Ltd., 3rd edition.
Baulch, S., Macdonald, R., Pulsifer, P. L., and Fraser Taylor, D. (2005). Chapter 21 cybercartography for education: the case of the cybercartographic atlas of antarctica. Modern Cartography Series, 4(C):491 – 515. (Estudo de ID: 55).
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., and Krathwohl, D. R., editors (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain. David McKay Company, Inc., New York.
Cabada, R. Z., Estrada, M. L. B., Barrientos, E. U., Velásquez, M. O., and García, C. A. R. (2008). Multiple intelligence tutoring systems for mobile learners. In Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT), pages 652–653. (Estudo de ID: 81).
Cabral Melo, P. D. O., Marques Gomes Mendes, R. C., Pereira Linhares, F. M., and Guedes, T. G. (2022). Production and use of educational technologies in nursing post-graduation. Revista Brasileira De Enfermagem, 75(5). (Estudo de ID: 79).
Cai, L., Liu, F., and Liang, Z. (2010). The research and application of education game design model in teaching chinese as a foreign language. In 2010 IEEE International Conference on Progress in Informatics and Computing, volume 2, pages 1241–1245. (Estudo de ID: 3).
Chandrasekhar, U. and Khare, N. (2021). An intelligent tutoring system for new student model using fuzzy soft set-based hybrid optimization algorithm. Soft Computing, 25(24):14979–14992. (Estudo de ID: 25).
Chikh, A. and Hank, S. (2016). Towards a cooperative learning approach using intelligence based learners grouping. Computer Applications in Engineering Education, 24(4):639 – 650. (Estudo de ID: 38).
Choo, Y. B., Abdullah, T., and Nawi, A. M. (2020). Digital storytelling vs. oral storytelling: An analysis of the art of telling stories now and then. Universal Journal of Educational Research, 8(5A):46–50. (Estudo de ID: 104).
Chuang, T.-y. and Su, S.-h. (2012). Using mobile console games for multiple intelligences and education. International Journal of Mobile Learning and Organisation, 6(3-4):204 – 217. (Estudo de ID: 52).
Cipriani, A., Core, V., and Giri, M. (2015). Technique, creation, perception and experience in the learning of electroacoustic music: Some practical proposals. Organised Sound, 20(1):40–50. (Estudo de ID: 75).
Dantas, A., Melo, S., Fernandes, M., Lima, L., and Nascimento, M. (2018). Recomendação de estratégias pedagógicas através de emoções, perfis de personalidade e inteligências múltiplas utilizando raciocínio baseado em casos. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE), 29(1):1213–1222.
de Moura, F., Franco, L., de Melo, S., and Fernandes, M. (2013). Evolução das inteligências múltiplas pelo método da espiral de aprendizagem de kolb utilizando pso. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE), 24(1):848–857.
Dhandabani, L. and Sukumaran, R. (2015). Use of multiple intelligences and instructional technologies in learning theory of computation: An experimental case study. In Proceedings of the International Conference on Advanced Computing and Communication Systems (ICACCS), pages 1–6. (Estudo de ID: 88).
Dong, J. and Huang, Z. (2020). Design of art interactive teaching system based on multiple intelligence theory. International Journal of Information and Communication Technology, 16(3):191–202. (Estudo de ID: 97).
Echeverría Desiderio, S. V., Chenche Jácome, W. L., Mejía Caguana, D. R., and Espinosa Izquierdo, J. G. (2022). Desarrollo de inteligencias múltiples usando tecnologías. Horizontes. Revista de Investigación en Ciencias de la Educación, 6(22):172–186. (Estudo de ID: 105).
Eltahir, M., Annamalai, N., Zyoud, S., Al Salhi, N., and Zakarneh, B. (2023). Exploring the adoption of multiple intelligences in micro credentials by educators in malaysian higher education. The Qualitative Report, 28(12):3514–3535. (Estudo de ID: 60).
Etxebarria, B., Sanchez, F., Rojo, N., and Barona, A. (2022). Multiple intelligence informed resources for addressing sustainable development goals in management engineering. Sustainability, 14(14). (Estudo de ID: 19).
Farrimond, B., Bonar-law, J., and Hetherington, R. (2007). Kiddy cad: a child friendly parametric approach for 3d modeling software. Computer-aided Design and Applications, 4(1-4):415 – 425. (Estudo de ID: 54).
Ferreira, F. Z., De Souza, R. L., Vargas, A. P., Teixeira, D. D. L., Dos Santos, M. N., Paes, W. D. O., Dos Santos, R. A. P., Tonin, N., Evald, P. J. D. D. O., and Botelho, S. S. D. C. (2022). Model for evaluation of multiple abilities programming problems in online massive environments. Journal of the Brazilian Computer Society, 28(1):104–117. (Estudo de ID: 117).
Garcia-Redondo, P., Garcia, T., Areces, D., Nunez, J. C., and Rodriguez, C. (2019). Serious games and their effect improving attention in students with learning disabilities. International Journal of Environmental Research and Public Health, 16(14). (Estudo de ID: 27).
García, C. M. and Mohedano, R. E. (2022). Study of predominant multiple intelligences in bilingual didactic audiovisual media; [estudio de las inteligencias múltiples predominantes en medios audiovisuales didácticos bilingües]. Techno Review. International Technology, Science and Society Review / Revista Internacional De Tecnología, Ciencia Y Sociedad, 11. (Estudo de ID: 21).
Gardner, H. (1999). Intelligence Reframed: Multiple Intelligences for the 21st Century. Basic Books, New York.
Gardner, H. (2000). Inteligências Múltiplas: A Teoria na Prática. Artmed, Porto Alegre.
Gardner, H. (2006). Multiple Intelligences: New Horizons. Basic Books, New York.
Gardner, H. (2011). Frames of Mind: The Theory of Multiple Intelligences. Basic Books, New York, 2nd edition.
Garmen, P., Areces, D., García, T., San-Pedro, J. C., and Rodríguez, C. (2024). Can serious games measure your cognitive profile in adults? an innovative proposal to evaluate and stimulate cognitive skills. Universal Access in the Information Society, 23(1):155–166. (Estudo de ID: 14).
Garmen, P., Rodríguez, C., García-Redondo, P., and San-Pedro-Veledo, J. (2019). Multiple intelligences and video games: Assessment and intervention with toi software. Comunicar, 58:95–104. (Estudo de ID: 34).
Gunathilaka, T. M. A. U., Fernando, M. S. D., and Pasqual, H. (2017). Identification of the learning behavior of the students for education personalization. In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pages 364–370. (Estudo de ID: 11).
Gunawan, S. and Shieh, C.-J. (2023). Enhancing business students’ self-efficacy and learning outcomes: A multiple intelligences and technology approach. Contemporary Educational Technology, 15(4). (Estudo de ID: 62).
Hafidi, M. and Bensebaa, T. (2014). Developing adaptive and intelligent tutoring systems (aits): a general framework and its implementations. International Journal of Information and Communication Technology Education, 10(4):70 – 85. (Estudo de ID: 40).
Hafidi, M. and Bensebaa, T. (2015). Architecture for an adaptive and intelligent tutoring system that considers the learner’s multiple intelligences. International Journal of Distance Education Technologies, 13(1):1 – 21. (Estudo de ID: 42).
Hafidi, M. and Lamia, M. (2015). A personalized adaptive e-learning system based on learner’s feedback and learner’s multiple intelligences. In 2015 12th International Symposium on Programming and Systems (ISPS), pages 1–6. (Estudo de ID: 2).
Hank, S. and Chikh, A. (2019). A new recommendation method for pertinent collaborative learners based on their intelligence and a fuzzy measure. International Journal of Technology Enhanced Learning, 11(3):279 – 303. (Estudo de ID: 37).
Hernández-Barco, M., Cañada-Cañada, F., Corbacho-Cuello, I., and Sánchez-Martín, J. (2021). An exploratory study interrelating emotion, self-efficacy and multiple intelligence of prospective science teachers. Frontiers in Education, 6. (Estudo de ID: 22).
Hernández-Torrano, D., Ferrándiz, C., Ferrando, M., Prieto, L., and Fernández, M. C. (2013). La teoría de las inteligencias múltiples en la identificación de alumnos de altas habilidades (superdotación y talento). Anales de Psicología / Annals of Psychology, 30(1):192–200. (Estudo de ID: 49).
Hetherington, R. G., Sood, S., and Advani, B. (2002). A prototype distributed adaptive learning system. In Proceedings of the Conference on Information Engineering (CIE), pages 576–577 vol.1. (Estudo de ID: 84).
Hollander, J. B. (2012). Intelligent participation: Engaging citizens through a framework of multiple intelligences. Community Development, 43(3):346 – 360. (Estudo de ID: 47).
Hong, J.-C., Hwang, M.-Y., and Tsai, C.-R. (2021). The effect of object-free and object-related intelligences on hands-on making self-efficacy and attitude toward quality improvement. International Journal of Science and Mathematics Education, 19(4):863–879. (Estudo de ID: 76).
Huang, M.-H. and Rust, R. T. (2022). A framework for collaborative artificial intelligence in marketing. Journal of Retailing, 98(2):209–223. (Estudo de ID: 102).
Jung, J.-H. and Chang, D.-R. (2017). Types of creativity—fostering multiple intelligences in design convergence talents. Thinking Skills and Creativity, 23:101–111. (Estudo de ID: 32).
Kaewkiriya, T. (2016). Design of a mobile e-learning forecasting system based on a case study using multiple intelligence analysis. International Journal of Electronic Commerce Studies, 7(2):189 – 200. (Estudo de ID: 44).
Kelly, D. and Tangney, B. (2006). Adapting to intelligence profile in an adaptive educational system. Interact. Comput., 18(3):385–409. (Estudo de ID: 1).
Khawas, C. and Sebastian, S. (2016). An android based application to know your multiple intelligences. In Proceedings of the IEEE International Conference on Signal Processing, Computing and Control (SCOPES), pages 1170–1175. (Estudo de ID: 91).
Kitchenham, B. (2007). Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE-2007-01, EBSE Technical Report, School of Computer Science and Mathematics, Keele University; Department of Computer Science, University of Durham, UK.
Kose, U. (2013). An artificial neural networks based software system for improved learning experience. In 2013 12th International Conference on Machine Learning and Applications, volume 2, pages 549–554. (Estudo de ID: 5).
Kose, U. and Arslan, A. (2017). Optimization of self-learning in computer engineering courses: An intelligent software system supported by artificial neural network and vortex optimization algorithm. Computer Applications in Engineering Education, 25(1):142–156. (Estudo de ID: 39).
Kovalenko, N. (2019). Astronomy: Learning theories applicable for education in planetarium environment. In International Symposium on Education in Astronomy and Astrobiology (ISE2A 2017), volume 200. (Estudo de ID: 111).
Kurniawan, A., Rustaman, N. Y., Kaniawati, I., and Hasanah, L. (2019). Development of multiple intelligence test instrument for teen students in perspective of physics learning. In International Conference on Mathematics and Science Education (ICMSCE 2018), volume 1157. (Estudo de ID: 87).
Laurillard, D. (2012). Teaching as a Design Science: Building Pedagogical Patterns for Learning and Technology. Routledge, New York and Abingdon.
Liu, W., Tan, L., Huang, D., Chen, N., and and, F. L. (2021). When preschoolers use tablets: The effect of educational serious games on children’s attention development. International Journal of Human–Computer Interaction, 37(3):234–248. (Estudo de ID: 30).
Ma, Y. and Yu, G. (2024). Construction of a teaching platform of modern and contemporary chinese literature from the perspective of diversified intelligence. International Journal of E-Collaboration, 20(1). (Estudo de ID: 100).
Machin, I. T. (2018). Intelligent tutor for programming system using multiple intelligences. Ieee Latin America Transactions, 16(2):634–638. (Estudo de ID: 66).
Machin Torres Ive, I. T. (2018). Intelligent tutor for programming system using multiple intelligences. IEEE Latin America Transactions, 16(2):634–638. (Estudo de ID: 6).
Magnoni, D., Offenbacher, C., and Kejriwal, A. (2012). Creating a materials samples collection to support the engineering curriculum. Library Management, 33(8):511–524. (Estudo de ID: 89).
Maulany, G. J., Santosa, P. I., and Hidayah, I. (2024a). Boosting performance classification of multiple intelligence learning styles in learning management system using feature extraction technique. In 2024 International Conference on ICT for Smart Society (ICISS), pages 1–6. (Estudo de ID: 4).
Maulany, G. J., Santosa, P. I., and Hidayah, I. (2024b). Multiple intelligence learning style detection in e-learning using support vector machine (svm) algorithm. In 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), pages 250–255. (Estudo de ID: 8).
Mazaheri, S. and Fatemi, O. (2014). An adaptive e-learning system based on gardner’s eight intelligence theory. In 2014 6th Conference on Information and Knowledge Technology (IKT), pages 128–133. (Estudo de ID: 7).
Mirzaei, A., Domakani, M. R., and and, N. H. (2014). Exploring the relationship between reading strategy use and multiple intelligences among successful l2 readers. Educational Psychology, 34(2):208–230. (Estudo de ID: 48).
Mishra, P. and Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6):1017–1054.
Mohamad, S. N. M., Salam, S., Bakar, N., and Sui, L. K. M. (2014). Online multiple intelligence teaching tools (on-mitt) for enhancing interpersonal teaching activities. AIP Conference Proceedings, 1605(1):786–791. (Estudo de ID: 73).
Moise, G. (2007). A software system for online learning applied in the field of computer science. International Journal of Computers Communications & Control, 2(1):84–93. (Estudo de ID: 78).
Moral-pérez, M. E. D., Fernández-garcía, L. C., and Guzmán-duque, A. P. (2015). Videogames: Multisensory incentives boosting multiple intelligences in primary education. Electronic Journal of Research in Educational Psychology, 13((2)36):243 – 270. (Estudo de ID: 43).
Moura, F. F. D., Franco, L. M., Melo, S. L. D., and Fernandes, M. A. (2013). Development of learning styles and multiple intelligences through particle swarm optimization. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 835–840. (Estudo de ID: 83).
Nee, C. K., Ibrahim, N. H., and Yahaya, N. (2015). Designing an imleaming app as formulated ideal personalised social collaborative mobile learning environment. In Proceedings of the IEEE Conference on e-Learning, e-Management and e-Services (IC3e), pages 153–157. (Estudo de ID: 95).
Ning, Y. (2022). A new model of multiple intelligence for teaching english informatics in the iot scenario. Computational Intelligence and Neuroscience, 2022. (Estudo de ID: 23).
Nkambou, R., Bourdeau, J., and Mizoguchi, R., editors (2010). Advances in Intelligent Tutoring Systems, volume 308 of Studies in Computational Intelligence. Springer-Verlag, Berlin, Heidelberg, 1 edition.
Noval, B. A., Safrodin, M., and Hakkun, R. Y. (2019). Battlebot: Logic learning based on visual programming implementation in multiplayer game online. In Proceedings of the 2019 IEEE International Electronics Symposium (ELECSYM), pages 138–142. (Estudo de ID: 113).
OECD (2015). Students, computers and learning: Making the connection. Technical report, Organisation for Economic Co-operation and Development (OECD), Paris.
Oviedo, D., Romero-Ternero, M., Hernández, M., Sivianes, F., Carrasco, A., and Escudero, J. (2014). Multiple intelligences in a multiagent system applied to telecontrol. Expert Systems with Applications, 41(15):6688–6700. (Estudo de ID: 61).
Pantano, E. and Scarpi, D. (2022). I, robot, you, consumer: Measuring artificial intelligence types and their effect on consumers emotions in service. Journal of Service Research, 25(4):583–600. (Estudo de ID: 74).
Perveen, A. (2018). Facilitating multiple intelligences through multimodal learning analytics. Turkish Online Journal of Distance Education, 19(1):18 – 30. (Estudo de ID: 31).
Piaget, J. (1950). The Psychology of Intelligence. Routledge, London.
Pitychoutis, K. M. and Al Rawahi, A. (2024). Smart teaching: The synergy of multiple intelligences and artificial intelligence in english as a foreign language instruction. Forum for Linguistic Studies, 6(6):249–260. (Estudo de ID: 108).
Pomázi, K., Gazdi, L., Radostyán, B., Szabó, M., Szegletes, L., and Forstner, B. (2016). Self-standardizing cognitive profile based on gardner’s multiple intelligence theory. In 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pages 317–322. (Estudo de ID: 82).
Quesada-Real, F. J., Perez-Pena, F., Morgado-Estevez, A., and Ruiz-Lendinez, J. J. (2024). Applying active learning by contextualizing robotic applications to historical heritage. Computer Applications in Engineering Education, 32(1). (Estudo de ID: 67).
Quispe Sanabria, E. M., Campos Carpena, L. P., and Mantari Mincami, L. D. (2021). Multiple intelligences and technology learning in peruvian university students. Eduweb - Revista de Tecnología de Información y Comunicación en Educación, 15(2):42–54. (Estudo de ID: 107).
Rahbarnia, F., Hamedian, S., and Radmehr, F. (2014). A study on the relationship between multiple intelligences and mathematical problem solving based on revised bloom taxonomy. Journal of Interdisciplinary Mathematics, 17(2):109 – 134. (Estudo de ID: 50).
Ramallal, P. M., Garbellini, A. B., and Serrano, D. P. (2024). Augmented reality, driving for creativity and multi-intelligences at the university. Edmetic, 13(2). (Estudo de ID: 85).
Rashid, M. A., Riaz, Z., Sayin, E., Qureshi, H. A., Yilmaz, G., Shami, M.-u.-d., and Ping, H.-p. (2011). Strategic e-commerce model driven-architecture for e-learning: Tqm & e-erp perspective. In Proceedings of PICMET ’11: Technology Management in the Energy Smart World. (Estudo de ID: 96).
Razak, N. A. and Zaini, N. (2014). Multiple intelligence scores of science stream students and their relation with reading competency in malaysian university english test (muet). English Language Teaching, 7(2):63 – 72. (Estudo de ID: 46).
Rezki, N., Kazar, O., Mouss, L. H., Kahloul, L., and Rezki, D. (2016). On the use of multi-agent systems for the monitoring of industrial systems. Journal of Industrial Engineering International, 12(1):111 – 118. (Estudo de ID: 41).
Rodrangsee, B., Tuntiwongwanich, S., Pimdee, P., and Moto, S. (2022). Development of an online active learning model using the theory of multiple intelligence to encourage thai undergraduate student analytical thinking skills. Journal of Higher Education Theory and Practice, 22(12):63 – 75. (Estudo de ID: 20).
Rosa, I. S., Liliawati, W., and Efendi, R. (2021). Design and validation smart teaching materials oriented multiple intelligences on global warming (stm2i-glow): Rasch model analysis. In International Conference on Mathematics and Science Education (ICMSCE 2020), volume 1806. (Estudo de ID: 86).
Rückert, F. U., Hülsmann, X., and Junker, A. (2021). Multiple intelligence theory for gamification of online stem modules. In Proceedings of the IEEE Conference on Online Teaching for Mobile Education (OT4ME), pages 78–81. (Estudo de ID: 110).
Ruiz-Vanoye, J. A., Diaz-Parra, O., Fuentes-Penna, A., Simancas-Acevedo, E., and Barrera-Camara, R. A. (2024). Artificial intelligences in industrial robots: A framework based on gardner’s multiple intelligences. International Journal of Combinatorial Optimization Problems and Informatics, 15(4):118–129. (Estudo de ID: 98).
Sajjadi, P., Vlieghe, J., and De Troyer, O. (2016). Evidence-based mapping between the theory of multiple intelligences and game mechanics for the purpose of player-centered serious game design. In Proceedings of the 8th International Conference on Virtual Worlds and Games for Serious Applications (VS-GAMES), pages 1–8. (Estudo de ID: 93).
Sanchez-martin, J., Alvarez-gragera, G. J., Davila-acedo, M. A., and Mellado, V. (2017). Teaching technology: From knowing to feeling enhancing emotional and content acquisition performance through gardner’s multiple intelligences theory in technology and design lessons. Journal of Technology and Science Education, 7(1):58 – 79. (Estudo de ID: 33).
Selwyn, N. (2017). Education and Technology: Key Issues and Debates. Bloomsbury Academic, London; New York, 2nd edition.
Sha, C., Xu, M., and Lu, C. (2022). Design of real-time cloud sharing algorithm for second classroom activities in higher vocational education based on intelligent terminal equipment. In Proceedings of the 2022 IEEE International Conference on Innovative Research in Computer Science and Applications (ICIRCA), pages 1677–1680. (Estudo de ID: 115).
Sluis-Thiescheffer, R. J. W., Bekker, M. M., Eggen, J. H., Vermeeren, A. P. O. S., and De Ridder, H. (2011). Development and application of a framework for comparing early design methods for young children. Interacting with Computers, 23(1):70–84. (Estudo de ID: 77).
Smith, C. (2006). Multiple cultures, multiple intelligences: Applying cognitive theory to usability of digital libraries. Libri, 56(4):227–238. (Estudo de ID: 114).
Starks, K. (2014). Cognitive behavioral game design: A unified model for designing serious games. Frontiers in Psychology, 5. (Estudo de ID: 90).
Su, J. D. (2024). A teaching management system for physical education in colleges and universities using the theory of multiple intelligences and svm. Soft Computing, 28:685–701. (Estudo de ID: 58).
Sun, T. (2024). Practical teaching of music curriculum in colleges and universities based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 16).
Sánchez-martín, J., Álvarez gragera, G. J., Dávila-acedo, M. A., and Mellado, V. (2017). What do k-12 students feel when dealing with technology and engineering issues? gardner’s multiple intelligence theory implications in technology lessons for motivating engineering vocations at spanish secondary school. European Journal of Engineering Education, 42(6):1330 – 1343. (Estudo de ID: 36).
Tang, H., He, Y., Wang, X., Zheng, H., Xu, B., Zhao, W., and Wu, H. (2024). Two-stage multi-mode voltage control for distribution networks: A deep reinforcement learning approach based on multiple intelligences. IEEE Transactions on Industry Applications, 60(4):5681–5691. (Estudo de ID: 106).
Tirri, K., Ryhänen, T., and Nokelainen, P. (2005). The intelligence profile of finnish peacekeepers. Gifted and Talented International, 20(2):19 – 30. (Estudo de ID: 56).
Ulum, M. B. and Tundjungsari, V. (2018). Designing fuzzy expert system to identify child intelligence. Telkomnika (telecommunication Computing Electronics and Control), 16(4):1688 – 1696. (Estudo de ID: 35).
UNESCO (2018). Ict competency framework for teachers.
Valeiras, N., Meneses-Villagra, J., and Godoy, L. A. (2005). Distributed learning using online learning and computer simulations for solid waste management. In Proceedings of the IEEE International Conference on Information Technology Based Higher Education and Training (ITHET), pages T4A/27–T4A/32. (Estudo de ID: 99).
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press, Cambridge, Massachusetts and London, England.
Wang, D. (2022). Analysis of multimedia teaching path of popular music based on multiple intelligence teaching mode. Advances in Multimedia, 2022. (Estudo de ID: 24).
Wazlawick, R. S. (2014). Metodologia de Pesquisa para Ciência da Computação. Elsevier Editora Ltda., Rio de Janeiro, 2 edition.
Wiyono, K., Ismet, I., Noprianti, N., Permawati, H., Saparini, S., and Zakiyah, S. (2019). Interactive multimedia using multiple-intelligences-based in the lesson of thermodynamics for high school. 3rd Sriwijaya University Learning and Education International Conference (SULE-IC 2018), 1166. (Estudo de ID: 69).
Wongthongtham, P., Chan, K. Y., Potdar, V., Abu-Salih, B., Gaikwad, S., and Jain, P. (2018). State-of-the-art ontology annotation for personalised teaching and learning and prospects for smart learning recommender based on multiple intelligence and fuzzy ontology. International Journal of Fuzzy Systems, 20(4):1357–1372. (Estudo de ID: 57).
Yu, M. (2024). Research on the aesthetic value of piano playing art based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 18).
Yue, H. (2024). Exploring the teaching reform of music appreciation course in polytechnic institutions combined with students’ memory characteristics. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 15).
Zajac, M. (2009). Using learning styles to personalize online learning. Campus-wide Information Systems, 26(3):256 – 265. (Estudo de ID: 53).
Zambrano, L. O. A., Ruiz, D. V. P., Arias, E. J. J., and Chalacán, L. J. M. (2020). Analysis of the critical success factors of projects for engineering thinking development. Neutrosophic Sets and Systems, 37:215 – 223. (Estudo de ID: 26).
Zatarain, R., Barrón-estrada, L., Reyes-garcía, C. A., and Reyes-galaviz, O. F. (2010). Applying intelligent systems for modeling students’ learning styles used for mobile and web-based systems. Studies in Computational Intelligence, 318:3 – 22. (Estudo de ID: 51).
Zhang, J. (2023). Piano playing gesture recognition based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 13).
Zhang, J., Chen, W., Wang, J., and Wang, Y. (2024). Educational practices to enhance learners’ intrinsic motivation — based on the learning process of medical students in a specialized creative integration project. Applied Mathematics and Nonlinear Sciences, 9(1). (Estudo de ID: 17).
Zhang, Y. (2015). A multiple fuzzy evaluation model of physical education in general colleges and universities for knowledge engineering. Chemical Engineering Transactions, 46:589–594. (Estudo de ID: 103).
Zhang, Z., Sheng, S., Liu, R., Song, P., Duan, F., and Asama, H. (2016). Design of a hierarchical intelligence architecture based on multiple intelligences. In 2016 International Conference on Advanced Robotics and Mechatronics (ICARM), pages 473–478. (Estudo de ID: 10).
Zuo, M., Wang, Y., Yu, Y., and Chen, L. (2007). The designing strategy of rpg game-learning under the instruction of multiple intelligence theory. In Proceedings of the Frontiers in Education Conference (FIE), pages S2D–24–S2D–28. (Estudo de ID: 92).
Publicado
24/11/2025
Como Citar
SPECK, Jefferson R.; ANDRADE, Sidgley Camargo de; BOSCARIOLI, Clodis.
Aplicações da Teoria das Inteligências Múltiplas em Ambientes Educacionais Digitais: Uma revisão sistemática de literatura. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 36. , 2025, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 643-663.
DOI: https://doi.org/10.5753/sbie.2025.12580.
