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Es-Sajjade, Abdelghani; Paas, Fred – Educational Technology Research and Development, 2020
Although educational games have been used for a considerable time, their true potential for enhancing achievement and motivation is still being explored. We argue in this paper that we may get closer to realizing this potential if the theoretical underpinning of educational games is improved. We developed a simple interactive math game based on…
Descriptors: Educational Theories, Educational Games, Computer Games, Computer System Design
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Pan, Wen Fu – Educational Technology & Society, 2017
The objective of this study was to test whether the Kinect motion-sensing interactive system (KMIS) enhanced students' English vocabulary learning, while also comparing the system's effectiveness against a traditional computer-mouse interface. Both interfaces utilized an interactive game with a questioning strategy. One-hundred and twenty…
Descriptors: Elementary School Students, English Instruction, Vocabulary Development, Control Groups
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Al Sarhan, Khaled Ali; AlZboon, Saleem Odeh; Olimat, Khalaf Mufleh; Al-Zboon, Mohammad Saleem – Education, 2013
The study aims at introducing the features of the computerized educational games in sciences at the elementary school in Jordan according to the specialists in teaching science and computer subjects, through answering some questions such as: What are the features of the computerized educational games in sciences at the elementary schools in Jordan…
Descriptors: Foreign Countries, Computer Games, Educational Games, Elementary School Science
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Zhao, Guopeng; Ailiya; Shen, Zhiqi – Educational Technology & Society, 2012
Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…
Descriptors: Foreign Countries, Instructional Design, Artificial Intelligence, Electronic Learning