學術資源整合系統-相關推薦

 
作者Tien-Yu Hsu;Jun-Ming Chen;Hsin-Yi Liang
出版日期2020
已接受20200808
著作名稱Investigating the effect of using the social semantic tagging-based learning guidance on science learning
會議名稱International Conference on Computers in Education
會議地點a fully virtual conference (in order to cope with the COVID-19 pandemic)
國際性會議Y
主題科學教育;資訊科學
關鍵字Ubiquitous learning, social semantic tagging, intelligent tutoring systems, interactive learning environments
摘要Enhancing prior knowledge has been recognized as an important learning strategy in enhancing the learning experience and performance for students. Past studies on enhancing prior knowledge have focused on reading materials that are manually generated by website administrators and educators. This is time-consuming and expensive process, such that prior knowledge cannot instantly correct and effective way to adaptive aid students in the learning process. To cope with these problems, this paper proposes a social semantic tagging-based learning guidance approach to obtaining relevant prior knowledge and the presented study examines the impact of using the social semantic tagging-based learning guidance on science learning. To evaluate the effectiveness of the proposed approach, an experiment was conducted by assigning 56 students to participate in this learning activity. The students in the experimental group adopted the social semantic tagging-based mobile learning approach, while those in the control group learned with the conventional mobile learning system. The experimental results show that the proposed approach not only promoted the students’ learning achievements and motivations, but also improved their learning self-efficacy and socialization. The proposed approach with prior knowledge construction provides additional help for students and teachers in conducting and participating in interactive English reading learning activities.
系統號NO000005729

Aug 16 2018 10:46:44
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