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作 者:彭丽[1] 王立[2] PENG Li;WANG Li(Hubei Radio and Television University,Wuhan,Hubei 430074;The Open University of China,Beijing 100039)
机构地区:[1]湖北广播电视大学,湖北武汉430074 [2]国家开放大学,北京100039
出 处:《湖北广播电视大学学报》2020年第6期9-14,共6页Journal of Hubei Radio & Television University
基 金:2019年湖北省教育规划重点课题“面向个性化学习的人工智能教育实践研究”(2019GA090)。
摘 要:随着现代科学技术的进步与发展,线上教育在逐步成为主流教学方式的同时,其面临的问题也趋于明显。通过分析近年来国内外学者的研究和实践成果,针对线上教育临场感弱、学生参与度低等一系列问题,本文提出一种自适应混合游戏化教学方法,依据远程教育学生基础自适应调节游戏难度,制定融合竞争、合作、奖励等元素的混合型游戏教学策略并对学习过程进行记录和评价,综合考虑了学生基于情景的认知体验、基于协作的社会性体验、基于动机的主动性体验。该方法依据学生的学习基础进行游戏难度自适应调节,降低认知负荷,获得良好的心流体验,从而有效地缓解了线上教育的沉浸感不强、学生参与度低等问题。In the development of science and technology,online education has gradually become the main teaching method,however,the problems of online education are also becoming obvious.Based on the research results of experts in recent years,this paper proposes an adaptive mixture game-based teaching method for online teaching,which adopts the adaptive teaching strategies.Firstly,we automatically evaluate the basis of the students according the information of students and so on.Secondly,we choice the game difficulty for students according their evaluating results.Finally,the trajectory of student are recorded in game,and students'scores are obtained according to the recorded action.This method not only can adjust the difficulty of the game adaptively according to the students'basis,but also reduce the cognitive load and obtain a good flow experience.So this method can stimulate the students'subjective initiative,improve their cognitive ability and promote the development of subjectivity.
分 类 号:G724.4[文化科学—成人教育学]
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