ScaffoMapping: Assisting Concept Mapping for Video Learners

被引：7

作者：

Zhang, Shan ^{[1
]}

Meng, Xiaojun ^{[2
]}

Liu, Can ^{[1
,3
]}

Zhao, Shengdong ^{[1
]}

Sehgal, Vibhor ^{[1
]}

Fjeld, Morten ^{[4
]}

机构：

[1] Natl Univ Singapore, NUS HCI Lab, Singapore 117418, Singapore

[2] Huawei Technol, Noahs Ark Lab, Shenzhen, Peoples R China

[3] City Univ Hong Kong, Sch Creat Media, Kowloon, Hong Kong, Peoples R China

[4] Chalmers Univ Technol, T2i Lab, Gothenburg, Sweden

来源：

HUMAN-COMPUTER INTERACTION, INTERACT 2019, PT II | 2019年 / 11747卷

关键词：

Concept map; Scaffolding; Video learning; CONCEPT MAPS; COMPREHENSION; INSTRUCTION;

D O I：

10.1007/978-3-030-29384-0_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Previous research has shown that having learners construct concept maps can bring better learning outcome. However, in video learning scenario, there is not sufficient support for learners to create concept maps from educational videos. Through a preliminary study, we identified two main difficulties video learners face in creating concept maps: navigation difficulty and learning difficulty. To help users to overcome such difficulties, we design scaffolds to assist learners in concept mapping. We present ScaffoMapping, a system aiming for scaffolded concept map creation on educational videos through automatic concept extraction and timestamp generation. Our study, which compares ScaffoMapping with the baseline approach, shows that (1) Learners can create higher quality concept maps with ScaffoMapping. (2) ScaffoMapping enables better learning outcomes in video learning scenario.

引用

页码：314 / 328

页数：15

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