ScaffoMapping: Assisting concept mapping for video learners
Paper i proceeding, 2019

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.


Video learning

Concept map


Shan Zhang

Universiti Kebangsaan Singapura (NUS)

Xiaojun Meng


Can Liu

Universiti Kebangsaan Singapura (NUS)

City University of Hong Kong

S. D. Zhao

Universiti Kebangsaan Singapura (NUS)

Vibhor Sehgal

Universiti Kebangsaan Singapura (NUS)

Morten Fjeld

Chalmers, Data- och informationsteknik, Interaktionsdesign

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 11747 LNCS 314-328
978-303029383-3 (ISBN)

17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019
Paphos, Cyprus,



Annan data- och informationsvetenskap




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