2007 First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (DIGITEL'07) 2007
DOI: 10.1109/digitel.2007.23
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EduBingo: Design of Multi-level Challenges of a Digital Classroom Game

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Cited by 8 publications
(4 citation statements)
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“…His opinion was similar to Malone and Lepper's findings [8][9] [10]: challenges, fantasy, curiosity and control are four common characteristics of digital games. Among these characteristics, challenges may be the core, because challenges can sustain players' interests [1]. As Rollings and Admans [11] mentioned, a game is one or more causally linked series of challenges in a simulated environment.…”
Section: Introductionmentioning
confidence: 99%
“…His opinion was similar to Malone and Lepper's findings [8][9] [10]: challenges, fantasy, curiosity and control are four common characteristics of digital games. Among these characteristics, challenges may be the core, because challenges can sustain players' interests [1]. As Rollings and Admans [11] mentioned, a game is one or more causally linked series of challenges in a simulated environment.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have been carried out on game-based learning with an educational orientation, especially for a possible use in either helping learning the traditional classroom environment, or supporting teaching activities (Hsiao, 2007), with improving techniques like the multi level challenge system (Cheng et al, 2007). Other game-based learning systems were, for examples, VISOLE (Shang et al, 2007), AnswerMatching (Wu et al, 2007), Shadow Box (Sung et al, 2007), and Simulation Fish Tank (Tan and Biswas, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have been carried out on game-based learning with an educational orientation, especially for a possible use in either helping learning the traditional classroom environment, or supporting teaching activities [4], with improving techniques like the multi level challenge system [3]. Other game-based learning systems were, for examples, VISOLE [5], AnswerMatching [12], Shadow Box [7], and Simulation Fish Tank [9].…”
Section: Introductionmentioning
confidence: 99%