学习技术典型案例:从社交机器人到大脑刺激——学习科学国际大会“学习技术”专题综述

发布时间：2018-03-12 21:14

本文选题：学习科学　切入点：学习技术　出处：《现代远程教育研究》2014年03期 　论文类型：期刊论文

【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。
[Abstract]:As a new interdisciplinary subject of teaching and learning, learning technology design has been an important research direction since its birth. Researchers from different countries and regions focused on four aspects of communication. In the aspect of social learning technology, social robot RUBI can effectively improve the efficiency of children's language learning through dialogue and interaction with children; The social teaching agent can help students to learn and improve their learning and reasoning ability. In the aspect of learning design and analysis technology, the learning design platform PPC can enable teachers to choose or design students' learning plans under the support of big data. Educational data warehouse (DataShop) provides researchers with an environment to study students' learning behaviors, predict students' learning performance, and validate learning theories. CogSketch has adopted a unique approach to promote students' cognitive understanding of depiction in terms of cognitive depiction techniques. In the field of brain stimulation, transcranial electrical stimulation (TSE) can shape the function of brain and help students improve the effect of mathematics learning. Learning technology is changing from theory to practice, gradually affecting educational decision making and educational practice. The healthy development of learning technology requires close cooperation among researchers in various fields, such as education, computer science, cognitive science, brain science, etc. Only in this way can the research of learning science move towards the real context of learning and promote the learners' deep learning.
【作者单位】：华东师范大学教育信息技术学系;
【基金】：全国教育科学“十二五”规划教育部重点课题“国际学习科学新进展及其对基础教育课程变革的影响——以发达国家或地区为例”(DDA120192)
【分类号】：G420

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