作　　者： ; ; ;

机构地区： 华东师范大学教育科学学院教育技术学系

出　　处： 《现代远程教育研究》 2014年第3期45-51,65,共8页

摘　　要： 学习科学作为一门研究教与学的新兴交叉学科,自诞生以来就将学习技术设计作为重要的研究方向。在最近召开的学习科学国际大会"学习技术"专题研讨中,来自不同国家和地区的研究人员重点对四个方面进行了交流研讨。在社会性学习技术方面,社交机器人RUBI通过与儿童的对话和交互能有效提高儿童语言学习的效率;社会性教学代理(TA)能帮助学生学习并提高他们的学习和推理能力。在学习设计与分析技术方面,学习设计平台PPC能使教师在大数据的支撑下选择或设计学生学习方案;教育数据仓库DataShop能为研究者们提供研究学生学习行为、预测学生学习绩效、验证学习理论的环境。在认知描绘技术方面,CogSketch采用独特的方式促进学生对于描绘的认知理解,有利于学生高阶推理能力与空间能力的培养。在大脑刺激技术方面,经颅电刺激技术(tES)能够对大脑的功能进行塑造,有助于提高学生的数学学习效果。这些研究表明,学习技术正在从理论走向实践,逐渐影响教育决策和教育实践;学习技术的健康发展需要教育学、计算机科学、认知科学、脑科学等各领域研究者的紧密合作,只有这样才能使学习科学研究走向真实的学习境脉,促进学习者的深度学习。 The design of learning technology has always been the important direction of science of learning since the emergence of this interdisciplinary research area in teaching and learning. During the session of ＂Technologies for Learning＂ of the International Convention on Science of Learning 2014, researchers from different countries and regions shared their research in this field focusing on the following four aspects. In terms of the social learning technology, the social robot RUBI had a significant effect on the efficiency of children＇s language learning through dialogues and interactions with the children. Also, capitalizing on the social aspects of leaming, Teachable Agents can help students learn and enhance their learning and reasoning ability. In terms of the technologies of learning design and analysis, with the help of the learning design platform of PPC, teachers can select and design learning plans for students based on big data; DataShop is a data repository and web application for learning science researchers, providing researchers secure data storage as well as an array of analysis and visualization tools through a web-based interface. In terms of cognitive sketch technology, CogSketech has been proven helpful to develop students＂ higher-order reasoning and spatial ability. In terms of brain-stimulation technology, a relatively new brain-stimulation technique called Transcranial Electrical Stimulation may help people learn and improve their understanding of math concepts. These findings indicate that learning technology is moving from theory to practice, gradually affecting the decision-making and the practice in education. And the healthy development of learning technology requires close interdisciplinary cooperation among the researchers from the areas of education, computer science, cognitive science, neuroscience, etc. Then, focusing on the learning in real-world contexts, the technologies can promote the learners＂ deep learning.

关 键 词： 学习学科 学习技术 社会性学习技术 学习设计与分析技术 认知描绘技术 大脑刺激技术

领　　域： [文化科学] [文化科学]