A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games
Nowadays, serious games and game technology are poised to transform the way of educating and training students at all levels. However, pedagogical value in games do not help novice students learn, too many memorizing and reduce learning process due to no information of player’s ability. To asses the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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ITB Journal Publisher
2011-12-01
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| Series: | ITB Journal of Information and Communication Technology |
| Subjects: | |
| Online Access: | http://journal.itb.ac.id/download.php?file=C10127.pdf&id=726&up=3 |
| _version_ | 1811251769114624000 |
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| author | Moh. Aries Syufagi Mochamad Hariadi Mauridhi Hery Purnomo |
| author_facet | Moh. Aries Syufagi Mochamad Hariadi Mauridhi Hery Purnomo |
| author_sort | Moh. Aries Syufagi |
| collection | DOAJ |
| description | Nowadays, serious games and game technology are poised to transform the way of educating and training students at all levels. However, pedagogical value in games do not help novice students learn, too many memorizing and reduce learning process due to no information of player’s ability. To asses the cognitive level of player ability, we propose a Cognitive Skill Game (CSG). CSG improves this cognitive concept to monitor how players interact with the game. This game employs Learning Vector Quantization (LVQ) for optimizing the cognitive skill input classification of the player. CSG is using teacher’s data to obtain the neuron vector of cognitive skill pattern supervise. Three clusters multi objective target will be classified as; trial and error, carefully and, expert cognitive skill. In the game play experiments using 33 respondent players demonstrates that 61% of players have high trial and error cognitive skill, 21% have high carefully cognitive skill, and 18% have high expert cognitive skill. CSG may provide information to game engine when a player needs help or when wanting a formidable challenge. The game engine will provide the appropriate tasks according to players’ ability. CSG will help balance the emotions of players, so players do not get bored and frustrated. Players have a high interest to finish the game if the player is emotionally stable. Interests in the players strongly support the procedural learning in a serious game. |
| first_indexed | 2024-04-12T16:25:17Z |
| format | Article |
| id | doaj.art-0d11dcde70b94367b43b4464e224b32f |
| institution | Directory Open Access Journal |
| issn | 1978-3086 |
| language | English |
| last_indexed | 2024-04-12T16:25:17Z |
| publishDate | 2011-12-01 |
| publisher | ITB Journal Publisher |
| record_format | Article |
| series | ITB Journal of Information and Communication Technology |
| spelling | doaj.art-0d11dcde70b94367b43b4464e224b32f2022-12-22T03:25:24ZengITB Journal PublisherITB Journal of Information and Communication Technology1978-30862011-12-0153189206A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious GamesMoh. Aries SyufagiMochamad HariadiMauridhi Hery PurnomoNowadays, serious games and game technology are poised to transform the way of educating and training students at all levels. However, pedagogical value in games do not help novice students learn, too many memorizing and reduce learning process due to no information of player’s ability. To asses the cognitive level of player ability, we propose a Cognitive Skill Game (CSG). CSG improves this cognitive concept to monitor how players interact with the game. This game employs Learning Vector Quantization (LVQ) for optimizing the cognitive skill input classification of the player. CSG is using teacher’s data to obtain the neuron vector of cognitive skill pattern supervise. Three clusters multi objective target will be classified as; trial and error, carefully and, expert cognitive skill. In the game play experiments using 33 respondent players demonstrates that 61% of players have high trial and error cognitive skill, 21% have high carefully cognitive skill, and 18% have high expert cognitive skill. CSG may provide information to game engine when a player needs help or when wanting a formidable challenge. The game engine will provide the appropriate tasks according to players’ ability. CSG will help balance the emotions of players, so players do not get bored and frustrated. Players have a high interest to finish the game if the player is emotionally stable. Interests in the players strongly support the procedural learning in a serious game.http://journal.itb.ac.id/download.php?file=C10127.pdf&id=726&up=3cognitive skill classificationmulti objectivelearning vector quantizationserious game. |
| spellingShingle | Moh. Aries Syufagi Mochamad Hariadi Mauridhi Hery Purnomo A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games ITB Journal of Information and Communication Technology cognitive skill classification multi objective learning vector quantization serious game. |
| title | A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games |
| title_full | A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games |
| title_fullStr | A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games |
| title_full_unstemmed | A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games |
| title_short | A Cognitive Skill Classification Based On Multi Objective Optimization Using Learning Vector Quantization for Serious Games |
| title_sort | cognitive skill classification based on multi objective optimization using learning vector quantization for serious games |
| topic | cognitive skill classification multi objective learning vector quantization serious game. |
| url | http://journal.itb.ac.id/download.php?file=C10127.pdf&id=726&up=3 |
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