Analysis of design patterns for educational application development: serious games

Learning based on serious games is an emerging field in education, product of the proliferation of technological aids in the educational field and the necessary opening to new didactic methods that support the educator in the complexity of joining the transmission of knowledge and in the training in...

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Autores:
Pineda Lezama, Omar Bonerge
Navarro Manotas, Evaristo
Mercado-Caruzo, Nohora
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7695
Acceso en línea:
https://hdl.handle.net/11323/7695
https://doi.org/10.1016/j.procs.2020.07.093
https://repositorio.cuc.edu.co/
Palabra clave:
Analysis of design patterns
Serious game
Teamwork skills
Rights
openAccess
License
CC0 1.0 Universal
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network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Analysis of design patterns for educational application development: serious games
title Analysis of design patterns for educational application development: serious games
spellingShingle Analysis of design patterns for educational application development: serious games
Analysis of design patterns
Serious game
Teamwork skills
title_short Analysis of design patterns for educational application development: serious games
title_full Analysis of design patterns for educational application development: serious games
title_fullStr Analysis of design patterns for educational application development: serious games
title_full_unstemmed Analysis of design patterns for educational application development: serious games
title_sort Analysis of design patterns for educational application development: serious games
dc.creator.fl_str_mv Pineda Lezama, Omar Bonerge
Navarro Manotas, Evaristo
Mercado-Caruzo, Nohora
dc.contributor.author.spa.fl_str_mv Pineda Lezama, Omar Bonerge
Navarro Manotas, Evaristo
Mercado-Caruzo, Nohora
dc.subject.spa.fl_str_mv Analysis of design patterns
Serious game
Teamwork skills
topic Analysis of design patterns
Serious game
Teamwork skills
description Learning based on serious games is an emerging field in education, product of the proliferation of technological aids in the educational field and the necessary opening to new didactic methods that support the educator in the complexity of joining the transmission of knowledge and in the training in competences that comprise the learning process. In recent years, there has been a remarkable set of experiences in applying game-based learning to formal training scenarios, particularly in the higher education environment, which have encouraged the attempt to develop a working tool designed for the development of one of the most complex competences of the learning process and, at the same time, contradictory to individualism: teamwork. In this study, a serious game has been designed, with the aim of promoting and analyzing the development of teamwork skills. In this serious game, students have to solve a problem whose solution depends mainly on the ability to negotiate among group members.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-01-15T14:15:44Z
dc.date.available.none.fl_str_mv 2021-01-15T14:15:44Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.procs.2020.07.093
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
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identifier_str_mv 1877-0509
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/7695
https://doi.org/10.1016/j.procs.2020.07.093
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv [1] Singh, J. B., Chandwani, R., & Kumar, M. (2018). Factors affecting Web 2.0 adoption: exploring the knowledge sharing and knowledge seeking aspects in health care professionals. Journal of Knowledge Management.
[2] Alaarj, S., Mohamed, Z. A., & Bustamam, U. S. (2017). The Effect of Knowledge Management Capabilities on Performance of Companies: A Study of Service Sector. Int. J. Econ. Res, 14, 457-470.
[3] Fidel, P., Cervera, A., & Schlesinger, W. (2016). Customer’s role in knowledge management and in the innovation process: effects on innovation capacity and marketing results. Knowledge Management Research & Practice, 14(2), 195-203.
[4] Cabrilo, S., & Dahms, S. (2018). How strategic knowledge management drives intellectual capital to superior innovation and market performance. Journal of Knowledge Management.
[5] Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLSSEM: guidelines for using PLSpredict. European Journal of Marketing.
[6] Vatamanescu, E. M., Nistoreanu, B. G., & Mitan, A. (2017). Competition and consumer behavior in the context of the digital economy. Amfiteatru Economic, 19(45), 354.
[7] Zhang, X., & Venkatesh, V. (2017). A nomological network of knowledge management system use: Antecedents and consequences. MIS
[8] Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing.
[9] Ferraris, A., Santoro, G., & Scuotto, V. (2018). Dual relational embeddedness and knowledge transfer in European multinational corporations and subsidiaries. Journal of Knowledge management.
[10] Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
[11] Sharma, P. N., Shmueli, G., Sarstedt, M., Danks, N., & Ray, S. (2019). Prediction‐oriented model selection in partial least squares path modeling. Decision Sciences.
[12] Abdi, K., Mardani, A., Senin, A. A., Tupenaite, L., Naimaviciene, J., Kanapeckiene, L., & Kutut, V. (2018). The effect of knowledge management, organizational culture and organizational learning on innovation in automotive industry. Journal of Business Economics and Management, 19(1), 1-19.
[13] Carrión, G. C., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016). Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section. Journal of business research, 69(10), 4545-4551.
[14] Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Treating unobserved heterogeneity in PLS-SEM: A multi-method approach. In Partial least squares path modeling (pp. 197-217). Springer, Cham.
[15] Rodgers, W., Mubako, G. N., & Hall, L. (2017). Knowledge management: The effect of knowledge transfer on professional skepticism in audit engagement planning. Computers in Human Behavior, 70, 564-574.
[16] Dekoulou, P., & Trivellas, P. (2017). Organizational structure, innovation performance and customer relationship value in the Greek advertising and media industry. Journal of Business & Industrial Marketing.
[17] Viloria, A., Varela, N., Lezama, O. B. P., Llinás, N. O., Flores, Y., Palma, H. H., … Marín-González, F. (2020). Classification of Digitized Documents Applying Neural Networks. In Lecture Notes in Electrical Engineering (Vol. 637, pp. 213–220). Springer. https://doi.org/10.1007/978-981-15-2612-1_20
[18] Kamatkar, S. J., Kamble, A., Viloria, A., Hernández-Fernandez, L., & García Cali, E. (2018). Database performance tuning and query optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10943 LNCS, pp. 3–11). Springer Verlag. https://doi.org/10.1007/978-3-319-93803-5_1
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dc.publisher.spa.fl_str_mv Corporación Universidad de la Costa
dc.source.spa.fl_str_mv Procedia Computer Science
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spelling Pineda Lezama, Omar BonergeNavarro Manotas, EvaristoMercado-Caruzo, Nohora2021-01-15T14:15:44Z2021-01-15T14:15:44Z20201877-0509https://hdl.handle.net/11323/7695https://doi.org/10.1016/j.procs.2020.07.093Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Learning based on serious games is an emerging field in education, product of the proliferation of technological aids in the educational field and the necessary opening to new didactic methods that support the educator in the complexity of joining the transmission of knowledge and in the training in competences that comprise the learning process. In recent years, there has been a remarkable set of experiences in applying game-based learning to formal training scenarios, particularly in the higher education environment, which have encouraged the attempt to develop a working tool designed for the development of one of the most complex competences of the learning process and, at the same time, contradictory to individualism: teamwork. In this study, a serious game has been designed, with the aim of promoting and analyzing the development of teamwork skills. In this serious game, students have to solve a problem whose solution depends mainly on the ability to negotiate among group members.Pineda Lezama, Omar BonergeNavarro Manotas, EvaristoMercado-Caruzo, Nohoraapplication/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Procedia Computer Sciencehttps://www.sciencedirect.com/science/article/pii/S1877050920317932Analysis of design patternsSerious gameTeamwork skillsAnalysis of design patterns for educational application development: serious gamesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Singh, J. B., Chandwani, R., & Kumar, M. (2018). Factors affecting Web 2.0 adoption: exploring the knowledge sharing and knowledge seeking aspects in health care professionals. Journal of Knowledge Management.[2] Alaarj, S., Mohamed, Z. A., & Bustamam, U. S. (2017). The Effect of Knowledge Management Capabilities on Performance of Companies: A Study of Service Sector. Int. J. Econ. Res, 14, 457-470.[3] Fidel, P., Cervera, A., & Schlesinger, W. (2016). Customer’s role in knowledge management and in the innovation process: effects on innovation capacity and marketing results. Knowledge Management Research & Practice, 14(2), 195-203.[4] Cabrilo, S., & Dahms, S. (2018). How strategic knowledge management drives intellectual capital to superior innovation and market performance. Journal of Knowledge Management.[5] Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLSSEM: guidelines for using PLSpredict. European Journal of Marketing.[6] Vatamanescu, E. M., Nistoreanu, B. G., & Mitan, A. (2017). Competition and consumer behavior in the context of the digital economy. Amfiteatru Economic, 19(45), 354.[7] Zhang, X., & Venkatesh, V. (2017). A nomological network of knowledge management system use: Antecedents and consequences. MIS[8] Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing.[9] Ferraris, A., Santoro, G., & Scuotto, V. (2018). Dual relational embeddedness and knowledge transfer in European multinational corporations and subsidiaries. Journal of Knowledge management.[10] Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.[11] Sharma, P. N., Shmueli, G., Sarstedt, M., Danks, N., & Ray, S. (2019). Prediction‐oriented model selection in partial least squares path modeling. Decision Sciences.[12] Abdi, K., Mardani, A., Senin, A. A., Tupenaite, L., Naimaviciene, J., Kanapeckiene, L., & Kutut, V. (2018). The effect of knowledge management, organizational culture and organizational learning on innovation in automotive industry. Journal of Business Economics and Management, 19(1), 1-19.[13] Carrión, G. C., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016). Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section. Journal of business research, 69(10), 4545-4551.[14] Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Treating unobserved heterogeneity in PLS-SEM: A multi-method approach. In Partial least squares path modeling (pp. 197-217). Springer, Cham.[15] Rodgers, W., Mubako, G. N., & Hall, L. (2017). Knowledge management: The effect of knowledge transfer on professional skepticism in audit engagement planning. Computers in Human Behavior, 70, 564-574.[16] Dekoulou, P., & Trivellas, P. (2017). Organizational structure, innovation performance and customer relationship value in the Greek advertising and media industry. Journal of Business & Industrial Marketing.[17] Viloria, A., Varela, N., Lezama, O. B. P., Llinás, N. O., Flores, Y., Palma, H. H., … Marín-González, F. (2020). Classification of Digitized Documents Applying Neural Networks. In Lecture Notes in Electrical Engineering (Vol. 637, pp. 213–220). Springer. https://doi.org/10.1007/978-981-15-2612-1_20[18] Kamatkar, S. J., Kamble, A., Viloria, A., Hernández-Fernandez, L., & García Cali, E. (2018). Database performance tuning and query optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10943 LNCS, pp. 3–11). Springer Verlag. https://doi.org/10.1007/978-3-319-93803-5_1PublicationORIGINALAnalysis of design patterns for educational application development. 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