Intelligent Agents and Game-Based Learning Modules in a Learning Management System
Abstract
Many researchers have taken a great deal of effort to promote high quality game-based learning applications, such as educational games, animations, simulations, animated or interactive simulation mechanisms in learning management system (LMS), and so on. The Bloom's taxonomy strategy was successfully implemented as effective gaming model in two different game-based learning applications (puzzle and platformer games) that motivate and actively engage college students in order to make learning process more enjoyable. During using the game-based modules in LMS Moodle, special attention was paid both to the integration of game-play aspects and the relationship between learning styles and game genres. In this paper we shall describe the proposed approach and introduce an adaptation and personalization of player as student model based on game genres. We have analyzed learning styles and teaching strategies that match the game features which resulted in embedding the analysis personalization ...and teaching strategies into the game. This article presents the effectiveness of agent-based approach in teaching strategies of Moodle gaming education resources.
Keywords:
Learning management system / Intelligent agent / Game-based learning / Learning styles / Game genresSource:
Agent and multi-agent systems: technology and applications, Kes-Amsta 2016, 2016, 58, 233-245Publisher:
- Springer Int Publishing Ag, Cham
DOI: 10.1007/978-3-319-39883-9_19
ISSN: 2190-3018
WoS: 000389808300019
Scopus: 2-s2.0-84979075928
Collections
Institution/Community
JakovTY - CONF AU - Kuk, Kristijan AU - Rančić, Dejan AU - Pronić-Rančić, Olivera AU - Ranđelović, Dragan PY - 2016 UR - http://jakov.kpu.edu.rs/handle/123456789/722 AB - Many researchers have taken a great deal of effort to promote high quality game-based learning applications, such as educational games, animations, simulations, animated or interactive simulation mechanisms in learning management system (LMS), and so on. The Bloom's taxonomy strategy was successfully implemented as effective gaming model in two different game-based learning applications (puzzle and platformer games) that motivate and actively engage college students in order to make learning process more enjoyable. During using the game-based modules in LMS Moodle, special attention was paid both to the integration of game-play aspects and the relationship between learning styles and game genres. In this paper we shall describe the proposed approach and introduce an adaptation and personalization of player as student model based on game genres. We have analyzed learning styles and teaching strategies that match the game features which resulted in embedding the analysis personalization and teaching strategies into the game. This article presents the effectiveness of agent-based approach in teaching strategies of Moodle gaming education resources. PB - Springer Int Publishing Ag, Cham C3 - Agent and multi-agent systems: technology and applications, Kes-Amsta 2016 T1 - Intelligent Agents and Game-Based Learning Modules in a Learning Management System VL - 58 SP - 233 EP - 245 DO - 10.1007/978-3-319-39883-9_19 ER -
@conference{ author = "Kuk, Kristijan and Rančić, Dejan and Pronić-Rančić, Olivera and Ranđelović, Dragan", year = "2016", abstract = "Many researchers have taken a great deal of effort to promote high quality game-based learning applications, such as educational games, animations, simulations, animated or interactive simulation mechanisms in learning management system (LMS), and so on. The Bloom's taxonomy strategy was successfully implemented as effective gaming model in two different game-based learning applications (puzzle and platformer games) that motivate and actively engage college students in order to make learning process more enjoyable. During using the game-based modules in LMS Moodle, special attention was paid both to the integration of game-play aspects and the relationship between learning styles and game genres. In this paper we shall describe the proposed approach and introduce an adaptation and personalization of player as student model based on game genres. We have analyzed learning styles and teaching strategies that match the game features which resulted in embedding the analysis personalization and teaching strategies into the game. This article presents the effectiveness of agent-based approach in teaching strategies of Moodle gaming education resources.", publisher = "Springer Int Publishing Ag, Cham", journal = "Agent and multi-agent systems: technology and applications, Kes-Amsta 2016", title = "Intelligent Agents and Game-Based Learning Modules in a Learning Management System", volume = "58", pages = "233-245", doi = "10.1007/978-3-319-39883-9_19" }
Kuk, K., Rančić, D., Pronić-Rančić, O.,& Ranđelović, D.. (2016). Intelligent Agents and Game-Based Learning Modules in a Learning Management System. in Agent and multi-agent systems: technology and applications, Kes-Amsta 2016 Springer Int Publishing Ag, Cham., 58, 233-245. https://doi.org/10.1007/978-3-319-39883-9_19
Kuk K, Rančić D, Pronić-Rančić O, Ranđelović D. Intelligent Agents and Game-Based Learning Modules in a Learning Management System. in Agent and multi-agent systems: technology and applications, Kes-Amsta 2016. 2016;58:233-245. doi:10.1007/978-3-319-39883-9_19 .
Kuk, Kristijan, Rančić, Dejan, Pronić-Rančić, Olivera, Ranđelović, Dragan, "Intelligent Agents and Game-Based Learning Modules in a Learning Management System" in Agent and multi-agent systems: technology and applications, Kes-Amsta 2016, 58 (2016):233-245, https://doi.org/10.1007/978-3-319-39883-9_19 . .
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