The Influence of Online Games in English Language Learning
DOI:
https://doi.org/10.54097/ehss.v22i.12433Keywords:
Game-based learning, English language learning, Motivation.Abstract
One of the major obstacles to learning English is the monotonous drilling and rehearsing that saps learners' motivation and causes them to feel frustrated. This article makes an argument for the motivational effects of integrating online gaming into conventional learning settings. Firstly, it reviews the definition of game-based learning and then take bloom’s taxonomy and effective game design elements into account. Then introduce a self-design game called Flytrap Vocab with its screes design, learning activities and goals and illustrate how this game promote learners 4 main competences in term of their reading, writing, speaking and listening skills. Finally, this paper reviews 5 main affordances of this online game that facilitate learning by playfulness, accessibility, multimediality, motivation and engagement. In the end, this paper suggest more media and online games can be imply into traditional teaching model to increase students’ motivation and interests.
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Fangfang. Research on power load forecasting based on Improved BP neural network. Harbin Institute of Technology, 2011.
Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
Ma Kunlong. Short term distributed load forecasting method based on big data. Changsha: Hunan University, 2014.
SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.
Fangfang. Research on power load forecasting based on Improved BP neural network. Harbin Institute of Technology, 2011.
Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
Ma Kunlong. Short term distributed load forecasting method based on big data. Changsha: Hunan University, 2014.
SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.
Fangfang. Research on power load forecasting based on Improved BP neural network. Harbin Institute of Technology, 2011.
Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
Ma Kunlong. Short term distributed load forecasting method based on big data. Changsha: Hunan University, 2014.
SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.
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