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Auflistung nach Schlagwort "video-based learning"

1 - 2 von 2
  • Konferenzbeitrag
    Extracting Production Style Features of Educational Videos with Deep Learning
    (Proceedings of DELFI Workshops 2022, 2022) Maya, Fatima; Krieter, Philipp; Wolf, Karsten D.; Breiter, Andreas
    Enforced by the pandemic, the production of videos in educational settings and their availability on learning platforms allow new forms of video-based learning. This has a strong benefit of covering multiple topics with different design styles and facilitating the learning experience. Consequently, research interest in video-based learning has increased remarkably, with many studies focusing on examining the diverse visual properties of videos and their impact on learner engagement and knowledge gain. However, manually analysing educational videos to collect metadata and to classify videos for quality assessment is a time-consuming activity. In this paper, we address the problem of automatic video feature extraction related to video production design. To this end, we introduce a novel use case for object detection models to recognize the human embodiment and the type of teaching media used in the video. The results obtained on a small-scale custom dataset show the potential of deep learning models for visual video analysis. This will allow for future use in developing an automatic video assessment system to reduce the workload for teachers and researchers.
  • Konferenzbeitrag
    Learning by Tagging – Supporting Constructive Learning in Video-Based Environments
    (DeLFI 2018 - Die 16. E-Learning Fachtagung Informatik, 2018) Harbarth, Lydia; Delsing, Svea; Richtscheid, Florian; Yücepur, Volkan; Feldmann, Florian; Akhavanfarm, Milad; Manske, Sven; Othlinghaus, Julia; Hoppe, H. Ulrich
    Using video-based learning materials is a common practice in online learning scenarios today. However, the passive consumption of educational video resources tends to go with low engagement of the learners. Adding interactive features to videos might have the potential to overcome this deficit and might lead to more active learning. We have developed an integrated learning flow that incorporates four interactive features supporting constructive learning: video tagging, flashcards, concept maps, and in-video quizzes. We integrated these features into an exisiting blended learning course and evaluated their respective adoption and acceptance in a user study to gain first insights into the general motivation to use the employed features for individual learning.