Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2732158.2732183acmconferencesArticle/Chapter ViewAbstractPublication PagesiuiConference Proceedingsconference-collections
poster

Automatic Generation and Insertion of Assessment Items in Online Video Courses

Published: 29 March 2015 Publication History

Abstract

In this paper, we propose a prototype system for automatic generation and insertion of assessment items in online video courses. The proposed system analyzes text transcript of a requested video lecture to suggest self-assessment items in runtime through automatic discourse segmentation and question generation. To deal with the problem of question generation from noisy transcription, the system relies on semantically similar Wikipedia text segments. We base our study on a popular video lecture portal - National Programme on Technology Enhanced Learning (NPTEL). However, it can be adapted to other portals as well.

Supplementary Material

ZIP File (iuidp0141-file4.zip)
Poster Board

References

[1]
Corley, C., and Mihalcea, R. Measuring the semantic similarity of texts. In Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, EMSEE '05, Association for Computational Linguistics (Stroudsburg, PA, USA, 2005), 13--18.
[2]
Goss Lucas, S., and Sandra Bernstein, D. A. Teaching Psychology: A Step By Step Guide. Lawrence Erlbaum Associates Inc. Publishers, 2004.
[3]
Hearst, M. A. Texttiling: Segmenting text into multi-paragraph subtopic passages. Comput. Linguist. 23, 1 (Mar. 1997), 33--64.
[4]
Heilman, M. Automatic Factual Question Generation from Text. Doctoral thesis, Carnegie Mellon University, 2011.
[5]
Levy, R., and Andrew, G. Tregex and tsurgeon: tools for querying and manipulating tree data structures. In Proceedings of the fifth international conference on Language Resources and Evaluation (2006).
[6]
Mann, W. C., and Thompson, S. A. Rhetorical structure theory: Toward a functional theory of text organization. Text 8, 3 (1988), 243--281.
[7]
Middendorf, J., and Kalish, A. The "change-up" in lectures. Teaching Resources Center, 1996.
[8]
Papasalouros, A., Kanaris, K., and Kotis, K. Automatic generation of multiple choice questions from domain ontologies. In IADIS International Conference e-Learning 2008, Amsterdam, Netherlands, July 22-25, 2008. Proceedings (2008), 427--434.

Cited By

View all
  • (2021)Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)10.1109/ICCICC53683.2021.9811326(53-58)Online publication date: 29-Oct-2021
  • (2021)Augmenting Video Lectures: Identifying Off-topic Concepts and Linking to Relevant Video Lecture SegmentsInternational Journal of Artificial Intelligence in Education10.1007/s40593-021-00257-z32:2(382-412)Online publication date: 6-Jul-2021
  • (2019)OffVid: A System for Linking Off-Topic Concepts to Topically Relevant Video Lecture Segments2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2019.00015(37-41)Online publication date: Jul-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
IUI '15 Companion: Companion Proceedings of the 20th International Conference on Intelligent User Interfaces
March 2015
164 pages
ISBN:9781450333085
DOI:10.1145/2732158
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2015

Check for updates

Author Tags

  1. latent semantic analysis
  2. moocs
  3. online video courses
  4. question generation
  5. rhetorical structure theory (rst)

Qualifiers

  • Poster

Conference

IUI'15
Sponsor:

Acceptance Rates

IUI '15 Companion Paper Acceptance Rate 47 of 205 submissions, 23%;
Overall Acceptance Rate 746 of 2,811 submissions, 27%

Upcoming Conference

IUI '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)8
  • Downloads (Last 6 weeks)1
Reflects downloads up to 29 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2021)Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)10.1109/ICCICC53683.2021.9811326(53-58)Online publication date: 29-Oct-2021
  • (2021)Augmenting Video Lectures: Identifying Off-topic Concepts and Linking to Relevant Video Lecture SegmentsInternational Journal of Artificial Intelligence in Education10.1007/s40593-021-00257-z32:2(382-412)Online publication date: 6-Jul-2021
  • (2019)OffVid: A System for Linking Off-Topic Concepts to Topically Relevant Video Lecture Segments2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2019.00015(37-41)Online publication date: Jul-2019
  • (2019)VTutor: A Platform for Improving Searchability and Interactivity of Recorded Lectures2019 International Conference on Advancements in Computing (ICAC)10.1109/ICAC49085.2019.9103406(464-469)Online publication date: Dec-2019
  • (2017)Automatic question generation for intelligent tutoring systems2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA)10.1109/CSCITA.2017.8066538(127-132)Online publication date: Apr-2017

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media