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Discovering the Unfindable: The Tension Between Findability and Discoverability in a Bookshop Designed for Serendipity Read chapter Read first chapter

2019 | OriginalPaper | Chapter

ScaffoMapping: Assisting Concept Mapping for Video Learners

Authors : Shan Zhang, Xiaojun Meng, Can Liu, Shengdong Zhao, Vibhor Sehgal, Morten Fjeld

Published in: Human-Computer Interaction – INTERACT 2019

Publisher: Springer International Publishing

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Abstract

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.

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Metadata
Title
ScaffoMapping: Assisting Concept Mapping for Video Learners
Authors
Shan Zhang
Xiaojun Meng
Can Liu
Shengdong Zhao
Vibhor Sehgal
Morten Fjeld
Copyright Year
2019
Book
Human-Computer Interaction – INTERACT 2019

Print ISBN: 978-3-030-29383-3

Electronic ISBN: 978-3-030-29384-0

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-29384-0_20