Automatic Questionnaire and Interactive Session Generation from Videos - Computational Intelligence in Data Science Access content directly
Conference Papers Year : 2020

Automatic Questionnaire and Interactive Session Generation from Videos

V. C. Skanda
  • Function : Author
  • PersonId : 1117252
Rachana Jayaram
  • Function : Author
  • PersonId : 1117253
Viraj C. Bukitagar
  • Function : Author
  • PersonId : 1117254
N. S. Kumar
  • Function : Author
  • PersonId : 1117224

Abstract

In this paper, we present a tool that interleaves lengthy lecture videos with questionnaires at optimal moments. This is done to keep students’ attention by making the video interactive. The student will be presented with MCQ type questions based on the topic covered so far in the video, at regular intervals. The questions are generated based on the transcript of the video lecture using machine learning and natural language processing techniques. In order to have continuity and proper flow of teaching, a LDA-based (Latent Dirichlet Allocation) model has been proposed to insert those generated questions at appropriate points called logical points.
Fichier principal
Vignette du fichier
507484_1_En_16_Chapter.pdf (226.63 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03434799 , version 1 (18-11-2021)

Licence

Attribution

Identifiers

Cite

V. C. Skanda, Rachana Jayaram, Viraj C. Bukitagar, N. S. Kumar. Automatic Questionnaire and Interactive Session Generation from Videos. 3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.205-212, ⟨10.1007/978-3-030-63467-4_16⟩. ⟨hal-03434799⟩
27 View
7 Download

Altmetric

Share

Gmail Facebook X LinkedIn More