skip to main content
10.1145/3173574.3173961acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

ConceptScape: Collaborative Concept Mapping for Video Learning

Published: 21 April 2018 Publication History

Abstract

While video has become a widely adopted medium for online learning, existing video players provide limited support for navigation and learning. It is difficult to locate parts of the video that are linked to specific concepts. Also, most video players afford passive watching, thus making it difficult for learners with limited metacognitive skills to deeply engage with the content and reflect on their understanding. To support concept-driven navigation and comprehension of lecture videos, we present ConceptScape, a system that generates and presents a concept map for lecture videos. ConceptScape engages crowd workers to collaboratively generate a concept map by prompting them to externalize reflections on the video. We present two studies to show that (1) interactive concept maps can be useful tools for concept-based video navigation and comprehension, and (2) with ConceptScape, novice crowd workers can collaboratively generate complex concept maps that match the quality of those by experts.

Supplementary Material

ZIP File (pn3331.zip)
a .srt file containing the caption for our preview video
suppl.mov (pn3331-file5.mp4)
Supplemental video

References

[1]
MeaningCloud: Text Analyze API. https://www.meaningcloud.com/developer/apis. (Accessed Aug. 2017).
[2]
Mohamed Ally. 2004. Foundations of educational theory for online learning. Theory and practice of online learning 2 (2004), 15--44.
[3]
Michael S Bernstein, Greg Little, Robert C Miller, Bj¨ orn Hartmann, Mark S Ackerman, David R Karger, David Crowell, and Katrina Panovich. 2015. Soylent: a word processor with a crowd inside. Commun. ACM 58, 8 (2015), 85--94.
[4]
K.E. Chang, Y.T. Sung, and S.F. Chen. 2001. Learning through computer-based concept mapping with scaffolding aid. Journal of Computer Assisted Learning 17, 1 (2001), 21--33.
[5]
Konstantinos Chorianopoulos and Michail N Giannakos. 2013. Usability design for video lectures. In Proceedings of the 11th european conference on Interactive TV and video. ACM, 163--164.
[6]
D Randy Garrison and Martha Cleveland-Innes. 2005. Facilitating cognitive presence in online learning: Interaction is not enough. The American journal of distance education 19, 3 (2005), 133--148.
[7]
Michail N. Giannakos, Konstantinos Chorianopoulos, Marco Ronchetti, Peter Szegedi, and Stephanie D. Teasley. 2013. Analytics on Video-based Learning. In Proceedings of the Third International Conference on Learning Analytics and Knowledge (LAK '13). ACM, New York, NY, USA, 283--284.
[8]
Elena L. Glassman, Aaron Lin, Carrie J. Cai, and Robert C. Miller. 2016. Learnersourcing Personalized Hints. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1626--1636.
[9]
Katsuhiro Ikeda, Kozo Sugiyama, Isamu Watanabe, and Kazuo Misue. 2006. Generation of Relevance Maps and Navigation in a Digital Book. In Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation Volume 60 (APVis '06). Australian Computer Society, Inc., Darlinghurst, Australia, Australia, 49--58. http: //dl.acm.org/citation.cfm?id=1151903.1151911
[10]
Heather Kanuka and Terry Anderson. 2007. Online social interchange, discord, and knowledge construction. International Journal of E-Learning & Distance Education 13, 1 (2007), 57--74.
[11]
Juho Kim. 2013. Toolscape: enhancing the learning experience of how-to videos. In CHI'13 Extended Abstracts on Human Factors in Computing Systems. ACM, 2707--2712.
[12]
Juho Kim, Elena L. Glassman, Andr´ es Monroy-Hern´ andez, and Meredith Ringel Morris. 2015. RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 1535--1544.
[13]
Juho Kim, Philip J. Guo, Carrie J. Cai, Shang-Wen (Daniel) Li, Krzysztof Z. Gajos, and Robert C. Miller. 2014a. Data-driven Interaction Techniques for Improving Navigation of Educational Videos. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology (UIST '14). ACM, New York, NY, USA, 563--572.
[14]
Juho Kim, Phu Tran Nguyen, Sarah Weir, Philip J Guo, Robert C Miller, and Krzysztof Z Gajos. 2014b. Crowdsourcing step-by-step information extraction to enhance existing how-to videos. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 4017--4026.
[15]
Geza Kovacs. 2016. Effects of In-Video Quizzes on MOOC Lecture Viewing. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale (L@S '16). ACM, New York, NY, USA, 31--40.
[16]
So Young Kwon and Lauren Cifuentes. 2009. The comparative effect of individually-constructed vs. collaboratively-constructed computer-based concept maps. Computers & Education 52, 2 (2009), 365--375.
[17]
Justin Matejka, Tovi Grossman, and George Fitzmaurice. 2013. Swifter: Improved Online Video Scrubbing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 1159--1168.
[18]
John R McClure, Brian Sonak, and Hoi K Suen. 1999. Concept map assessment of classroom learning: Reliability, validity, and logistical practicality. Journal of research in science teaching 36, 4 (1999), 475--492.
[19]
Toni-Jan Keith Palma Monserrat, Shengdong Zhao, Kevin McGee, and Anshul Vikram Pandey. 2013. NoteVideo: Facilitating Navigation of Blackboard-style Lecture Videos. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 1139--1148.
[20]
Joseph D Novak and Alberto J Cañ nas. 2008. The theory underlying concept maps and how to construct and use them. (2008).
[21]
Roni Reingold, Rikki Rimor, and Anat Kalay. 2008. Instructor's scaffolding in support of student's metacognition through a teacher education online course: a case study. Journal of interactive online learning 7, 2 (2008), 139--151.
[22]
Wolff-Michael Roth and Anita Roychoudhury. 1993. The concept map as a tool for the collaborative construction of knowledge: A microanalysis of high school physics students. Journal of research in science teaching 30, 5 (1993), 503--534.
[23]
M. Schwab, H. Strobelt, J. Tompkin, C. Fredericks, C. Huff, D. Higgins, A. Strezhnev, M. Komisarchik, G. King, and H. Pfister. 2017. booc.io: An Education System with Hierarchical Concept Maps. IEEE Transactions on Visualization and Computer Graphics PP, 99 (Jan 2017 2017), 1--1.
[24]
Ruey-Shiang Shaw. 2010. A study of learning performance of e-learning materials design with knowledge maps. Computers & Education 54, 1 (2010), 253--264.
[25]
Chao Boon Teo and Robert Kheng Leng Gay. 2006. A Knowledge-driven Model to Personalize e-Learning. J. Educ. Resour. Comput. 6, 1, Article 3 (March 2006).
[26]
Minhong Wang, Jun Peng, Bo Cheng, Hance Zhou, and Jie Liu. 2011. Knowledge visualization for self-regulated learning. Educational Technology & Society 14, 3 (2011), 28--42.
[27]
Sarah Weir, Juho Kim, Krzysztof Z Gajos, and Robert C Miller. 2015. Learnersourcing subgoal labels for how-to videos. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM, 405--416.
[28]
Jacob Whitehill and Margo Seltzer. 2017. A Crowdsourcing Approach to Collecting Tutorial Videos--Toward Personalized Learning-at-Scale. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale. ACM, 157--160.
[29]
Joseph Jay Williams, Juho Kim, Anna Rafferty, Samuel Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, and Neil Heffernan. 2016. AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale (L@S '16). ACM, New York, NY, USA, 379--388.
[30]
Han Zhang. 2017. Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. In Proceedings of the 26th International Conference on World Wide Web Companion (WWW '17 Companion). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 1183--1184.
[31]
Barry J Zimmerman and Dale H Schunk. 2001. Self-regulated learning and academic achievement: Theoretical perspectives. Routledge.
[32]
Krunoslav Zubrinic, Damir Kalpic, and Mario Milicevic. 2012. The automatic creation of concept maps from documents written using morphologically rich languages. Expert systems with applications 39, 16 (2012), 12709--12718.

Cited By

View all
  • (2025) ConceptThread : Visualizing Threaded Concepts in MOOC Videos IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.336100131:2(1354-1370)Online publication date: Feb-2025
  • (2024)Practical Application of an e-Learning Support System Incorporating a Fill-in-the-Blank Question-Type Concept MapIEICE Transactions on Information and Systems10.1587/transinf.2023IHP0012E107.D:4(477-485)Online publication date: 1-Apr-2024
  • (2024)CodeTree: A System for Learnersourcing Subgoal Hierarchies in Code ExamplesProceedings of the ACM on Human-Computer Interaction10.1145/36373088:CSCW1(1-37)Online publication date: 26-Apr-2024
  • Show More Cited By

Index Terms

  1. ConceptScape: Collaborative Concept Mapping for Video Learning

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    8489 pages
    ISBN:9781450356206
    DOI:10.1145/3173574
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 April 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Badges

    • Honorable Mention

    Author Tags

    1. concept map
    2. crowdsourcing
    3. online education
    4. video learning

    Qualifiers

    • Research-article

    Funding Sources

    • Ministry of Science & Technology of Taiwan
    • National Research Foundation of Korea (NRF)

    Conference

    CHI '18
    Sponsor:

    Acceptance Rates

    CHI '18 Paper Acceptance Rate 666 of 2,590 submissions, 26%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)94
    • Downloads (Last 6 weeks)5
    Reflects downloads up to 14 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2025) ConceptThread : Visualizing Threaded Concepts in MOOC Videos IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.336100131:2(1354-1370)Online publication date: Feb-2025
    • (2024)Practical Application of an e-Learning Support System Incorporating a Fill-in-the-Blank Question-Type Concept MapIEICE Transactions on Information and Systems10.1587/transinf.2023IHP0012E107.D:4(477-485)Online publication date: 1-Apr-2024
    • (2024)CodeTree: A System for Learnersourcing Subgoal Hierarchies in Code ExamplesProceedings of the ACM on Human-Computer Interaction10.1145/36373088:CSCW1(1-37)Online publication date: 26-Apr-2024
    • (2024)Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General PopulationsProceedings of the ACM on Human-Computer Interaction10.1145/36372988:CSCW1(1-37)Online publication date: 26-Apr-2024
    • (2024)Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery LearningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642587(1-18)Online publication date: 11-May-2024
    • (2024)SwapVid: Integrating Video Viewing and Document Exploration with Direct ManipulationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642515(1-13)Online publication date: 11-May-2024
    • (2024)TutoAI: a cross-domain framework for AI-assisted mixed-media tutorial creation on physical tasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642443(1-17)Online publication date: 11-May-2024
    • (2024)ExeVis: concept-based visualization of exercises in online learningJournal of Visualization10.1007/s12650-024-00956-427:2(235-254)Online publication date: 14-Mar-2024
    • (2024)Curio: Enhancing STEM Online Video Learning Experience Through Integrated, Just-in-Time Help-SeekingTechnology Enhanced Learning for Inclusive and Equitable Quality Education10.1007/978-3-031-72315-5_30(437-451)Online publication date: 13-Sep-2024
    • (2023)Papeos: Augmenting Research Papers with Talk VideosProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606770(1-19)Online publication date: 29-Oct-2023
    • Show More Cited By

    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