中国电化教育
中國電化教育
중국전화교육
CET CHINA EDUCATIONAL TECHNOLOGY
2015年
8期
21-28
,共8页
黄昌勤%王希哲%张冬冬%梅晓勇%周宇文
黃昌勤%王希哲%張鼕鼕%梅曉勇%週宇文
황창근%왕희철%장동동%매효용%주우문
学习云空间%研究性学习%语义Web%思维发散与聚集
學習雲空間%研究性學習%語義Web%思維髮散與聚集
학습운공간%연구성학습%어의Web%사유발산여취집
Learning Cloud Space%Inquiry-based Learning%Semantic Web%Thinking Divergent and Aggregation
研究性学习对于培养创新精神和实践能力至关重要,空间化设置的虚拟学习云环境能在学习资源与服务的动态供给、便捷交互上提供支持,为研究性学习实践提供了新的途径。以促进研究性学习与学习云空间深度融合为目标,对学习云空间支持下研究性学习各要素进行适配分析,提出了学习云空间支持下的研究性学习系统架构和功能设计。为了促进学习者交互学习的主题管控和目标的快速达成,以构建语义相似度计算方法为基础,提出了一种思维发散与聚集保障机制;依托Cloudstack,开发实现了以云空间为基础的研究性学习系统,完成了交互协作学习与思维智能导引的有效结合。基于学习案例进行应用效果测试,结果显示该研究能较好地提高研究性学习的学习效果。
研究性學習對于培養創新精神和實踐能力至關重要,空間化設置的虛擬學習雲環境能在學習資源與服務的動態供給、便捷交互上提供支持,為研究性學習實踐提供瞭新的途徑。以促進研究性學習與學習雲空間深度融閤為目標,對學習雲空間支持下研究性學習各要素進行適配分析,提齣瞭學習雲空間支持下的研究性學習繫統架構和功能設計。為瞭促進學習者交互學習的主題管控和目標的快速達成,以構建語義相似度計算方法為基礎,提齣瞭一種思維髮散與聚集保障機製;依託Cloudstack,開髮實現瞭以雲空間為基礎的研究性學習繫統,完成瞭交互協作學習與思維智能導引的有效結閤。基于學習案例進行應用效果測試,結果顯示該研究能較好地提高研究性學習的學習效果。
연구성학습대우배양창신정신화실천능력지관중요,공간화설치적허의학습운배경능재학습자원여복무적동태공급、편첩교호상제공지지,위연구성학습실천제공료신적도경。이촉진연구성학습여학습운공간심도융합위목표,대학습운공간지지하연구성학습각요소진행괄배분석,제출료학습운공간지지하적연구성학습계통가구화공능설계。위료촉진학습자교호학습적주제관공화목표적쾌속체성,이구건어의상사도계산방법위기출,제출료일충사유발산여취집보장궤제;의탁Cloudstack,개발실현료이운공간위기출적연구성학습계통,완성료교호협작학습여사유지능도인적유효결합。기우학습안례진행응용효과측시,결과현시해연구능교호지제고연구성학습적학습효과。
Inquiry-based learning is essential for developing creative and practical ability, learning space in cloud environments brings a new way to inquiry-based learning implementation due to its dynamic provision of resource and service, friendly interaction, and space setting. Aiming at promoting deep integration of inquiry-based learning and learning cloud space, this paper analyzes the characteristics of inquiry-based learning in the learning cloud space, and an inquiry-based learning system architecture with the technical support of learning cloud space is proposed. For the better control of themes in the interaction and achieving learning objectives for learners, a method of calculating the semantic similarity of inquiry themes is designed, and the mechanism of thinking divergence and aggregation has been constructed. On the basis of Cloudstack, the inquiry-based learning system has been designed and implemented to get the effective combination of interaction, exploration and intelligent thinking guidance. Finally, a case of course learning is put into practice, the experiment result shows that the research can improve inquiry-based learning.