Abstract
E-learning, which can be used anywhere and at any time, is very convenient and has been introduced to improve learning efficiency. However, securing a completion rate has been a major problem. Recently, the learning forms of e-learning require learners to be introspective, deliberate, and logical and have proven to be incompatible with many learners of low completion rates. In this paper, we propose an e-learning system that allows learners to deepen their understanding by creating a concept-map while watching a video. This system supports the presentation of candidate components such as concept-labels and related words from lecture speech texts when creating a concept map, which is difficult to create from scratch within a short time the learner is playing a video. Then, by interactively creating the proper concept-map of learning content aids the learner to learn the learning content in reflective and active thinking ways. Further, we conducted an experiment to compare a simple concept-map creation interface and a non-concept-map interface to confirm the effectiveness of our proposed system.
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This work was supported by JSPS KAKENHI Grant Number 19K12264.
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Hayama, T., Sato, S. (2020). Supporting Online Video e-Learning with Semi-automatic Concept-Map Generation. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences. HCII 2020. Lecture Notes in Computer Science(), vol 12205. Springer, Cham. https://doi.org/10.1007/978-3-030-50513-4_5
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