Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2818346.2830604acmconferencesArticle/Chapter ViewAbstractPublication Pagesicmi-mlmiConference Proceedingsconference-collections
research-article
Free access

Providing Real-time Feedback for Student Teachers in a Virtual Rehearsal Environment

Published: 09 November 2015 Publication History

Abstract

Research in learning analytics and educational data mining has recently become prominent in the fields of computer science and education. Most scholars in the field emphasize student learning and student data analytics; however, it is also important to focus on teaching analytics and teacher preparation because of their key roles in student learning, especially in K-12 learning environments. Nonverbal communication strategies play an important role in successful interpersonal communication of teachers with their students. In order to assist novice or practicing teachers with exhibiting open and affirmative nonverbal cues in their classrooms, we have designed a multimodal teaching platform with provisions for online feedback. We used an interactive teaching rehearsal software, TeachLivE, as our basic research environment. TeachLivE employs a digital puppetry paradigm as its core technology. Individuals walk into this virtual environment and interact with virtual students displayed on a large screen. They can practice classroom management, pedagogy and content delivery skills with a teaching plan in the TeachLivE environment. We have designed an experiment to evaluate the impact of an online nonverbal feedback application. In this experiment, different types of multimodal data have been collected during two experimental settings. These data include talk-time and nonverbal behaviors of the virtual students, captured in log files; talk time and full body tracking data of the participant; and video recording of the virtual classroom with the participant. 34 student teachers participated in this 30-minute experiment. In each of the settings, the participants were provided with teaching plans from which they taught. All the participants took part in both of the experimental settings. In order to have a balanced experiment design, half of the participants received nonverbal online feedback in their first session and the other half received this feedback in the second session. A visual indication was used for feedback each time the participant exhibited a closed, defensive posture. Based on recorded full-body tracking data, we observed that only those who received feedback in their first session demonstrated a significant number of open postures in the session containing no feedback. However, the post-questionnaire information indicated that all participants were more mindful of their body postures while teaching after they had participated in the study.

References

[1]
Using technology to study cellular and molecular biology. http://1.usa.gov/1LKos30. Accessed 2015--8--5.
[2]
Visual gesture builder: A data-driven solution to gesture detection. http://aka.ms/k4wv2vgb, July 2014. Accessed 2015--8--8.
[3]
M. W. Alibali and M. J. Nathan. Teachers' gestures as a means of scaffolding students' understanding: Evidence from an early algebra lesson. Video research in the learning sciences, pages 349--365, 2007.
[4]
R. Barmaki. Nonverbal communication and teaching performance. In Proceedings of the Eighth International Conference on Educational Data Mining, EDM'14, pages 441--443, 2014.
[5]
R. Barmaki and C. E. Hughes. A case study to track teacher gestures and performance in a virtual learning environment. In Proceedings of the Fifth International Conference on Learning Analytics and Knowledge, LAK'15, pages 420--421, New York, USA, 2015.
[6]
C. Caswell and S. Neill. Body language for competent teachers. Routledge, 2003.
[7]
L. G. Collins, A. Schrimmer, J. Diamond, and J. Burke. Evaluating verbal and non-verbal communication skills, in an ethnogeriatric osce. Patient education and counseling, 83(2):158--162, 2011.
[8]
L. A. Dieker, C. L. Straub, C. E. Hughes, M. C. Hynes, and S. Hardin. Learning from virtual students. Educational Leadership, 71(8):54--58, 2014.
[9]
M. R. DiMatteo, R. D. Hays, and L. M. Prince. Relationship of physicians' nonverbal communication skill to patient satisfaction, appointment noncompliance, and physician workload. Health Psychology, 5(6):581, 1986.
[10]
C. Fröhlich, P. Biermann, M. E. Latoschik, and I. Wachsmuth. Processing iconic gestures in a multimodal virtual construction environment. In Gesture-Based Human-Computer Interaction and Simulation, pages 187--192. Springer, 2009.
[11]
L. K. Guerrero and K. Floyd. Nonverbal communication in close relationships. Routledge, 2006.
[12]
M. E. Hoque, M. Courgeon, J.-C. Martin, B. Mutlu, and R. W. Picard. Mach: My automated conversation coach. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pages 697--706. ACM, 2013.
[13]
S. D. Kelly, S. M. Manning, and S. Rodak. Gesture gives a hand to language and learning: Perspectives from cognitive neuroscience, developmental psychology and education. Language and Linguistics Compass, 2(4):569--588, 2008.
[14]
S. D. Kelly, T. McDevitt, and M. Esch. Brief training with co-speech gesture lends a hand to word learning in a foreign language. Language and Cognitive Processes, 24(2):313--334, 2009.
[15]
A. Kendon. Gesture: Visible action as utterance. Cambridge University Press, 2004.
[16]
M. Knapp, J. Hall, and T. Horgan. Nonverbal communication in human interaction. Cengage Learning, 2013.
[17]
R. Laslett and C. Smith. Effective classroom management: a teacher's guide. Routledge, 2002.
[18]
J. Mahon, B. Bryant, B. Brown, and M. Kim. Using second life to enhance classroom management practice in teacher education. Educational Media International, 47(2):121--134, 2010.
[19]
D. McNeill. Hand and mind: What gestures reveal about thought. University of Chicago Press, 1992.
[20]
A. Mehrabian. Communication without words. Psychological today, 2:53--55, 1968.
[21]
P. W. Miller. Body language in the classroom. Techniques: Connecting Education and Careers, 8:28--30, 2005.
[22]
A. Nagendran, R. Pillat, A. Kavanaugh, G. Welch, and C. Hughes. A unified framework for individualized avatar-based interactions. Presence: Teleoperators and Virtual Environments, 23(2):109--132, 2014.
[23]
L. V. Nguyen-Dinh, A. Calatroni, and G. Tröster. Robust online gesture recognition with crowdsourced annotations. The Journal of Machine Learning Research, 15(1):3187--3220, 2014.
[24]
K. L. O'Halloran. Multimodal analysis and digital technology. In Interdisciplinary Perspectives on Multimodality: Theory and Practice, Proceedings of the Third International Conference on Multimodality, Palladino, Campobasso, 2009.
[25]
K. L. O'Halloran. Multimodal discourse analysis. Companion to discourse, pages 120--137, 2011.
[26]
T. Pfeiffer, M. E. Latoschik, and I. Wachsmuth. Conversational pointing gestures for virtual reality interaction: implications from an empirical study. In Virtual Reality Conference, 2008. VR'08. IEEE, pages 281--282. IEEE, 2008.
[27]
V. P. Richmond, J. C. McCroskey, and M. L. Hickson III. Nonverbal behavior in interpersonal relations. 2014.
[28]
D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Forster, G. Tröster, P. Lukowicz, D. Bannach, G. Pirkl, A. Ferscha, et al. Collecting complex activity datasets in highly rich networked sensor environments. In Networked Sensing Systems (INSS), pages 233--240. IEEE, 2010.
[29]
H. A. Smith. Nonverbal communication in teaching. Review of Educational Research, 49(4):631--672, 1979.
[30]
J. S. Tucker and S. L. Anders. Adult attachment style and nonverbal closeness in dating couples. Journal of Nonverbal Behavior, 22(2):109--124, 1998.
[31]
W. Wang and S. Loewen. Nonverbal behavior and corrective feedback in nine esl university-level classrooms. Language Teaching Research, pages 1--20, 2015.

Cited By

View all
  • (2024)Portfolio Assessment and Contact-Hour-Based Evaluation (ChbE) in Architectural EducationAfrican Journal of Humanities and Contemporary Education Research10.62154/ajhcer.2024.017.01035917:1(46-68)Online publication date: 8-Nov-2024
  • (2024)Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT TutoringProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664681(422-426)Online publication date: 9-Jul-2024
  • (2024)Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring PlatformProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636924(632-644)Online publication date: 18-Mar-2024
  • Show More Cited By

Index Terms

  1. Providing Real-time Feedback for Student Teachers in a Virtual Rehearsal Environment

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ICMI '15: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction
    November 2015
    678 pages
    ISBN:9781450339124
    DOI:10.1145/2818346
    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 ACM 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: 09 November 2015

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. gesture recognition
    2. immersive rehearsal environment
    3. mutimodal analytics
    4. reflection
    5. teacher preparation

    Qualifiers

    • Research-article

    Funding Sources

    Conference

    ICMI '15
    Sponsor:
    ICMI '15: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
    November 9 - 13, 2015
    Washington, Seattle, USA

    Acceptance Rates

    ICMI '15 Paper Acceptance Rate 52 of 127 submissions, 41%;
    Overall Acceptance Rate 453 of 1,080 submissions, 42%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)291
    • Downloads (Last 6 weeks)32
    Reflects downloads up to 13 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Portfolio Assessment and Contact-Hour-Based Evaluation (ChbE) in Architectural EducationAfrican Journal of Humanities and Contemporary Education Research10.62154/ajhcer.2024.017.01035917:1(46-68)Online publication date: 8-Nov-2024
    • (2024)Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT TutoringProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664681(422-426)Online publication date: 9-Jul-2024
    • (2024)Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring PlatformProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636924(632-644)Online publication date: 18-Mar-2024
    • (2024)Relational Affect in Dyadic InteractionsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3637206(1-9)Online publication date: 11-May-2024
    • (2024)Automated Multimode Teaching Behavior Analysis: A Pipeline-Based Event Segmentation and DescriptionIEEE Transactions on Learning Technologies10.1109/TLT.2024.339615917(1717-1733)Online publication date: 2024
    • (2024)Application of Human Posture Recognition and Classification in Performing Arts EducationIEEE Access10.1109/ACCESS.2024.345117212(125906-125919)Online publication date: 2024
    • (2024)Research Trends in Teaching Analytics: Bibliometric Mapping and Content AnalysisTechnology, Knowledge and Learning10.1007/s10758-024-09773-yOnline publication date: 8-Aug-2024
    • (2024)Nonverbal Immediacy Analysis in Education: A Multimodal Computational ModelFrom Animals to Animats 1710.1007/978-3-031-71533-4_26(326-338)Online publication date: 7-Sep-2024
    • (2023)Integrated Model for Asynchronous Learning and Predictive Analytics for Enhanced Learner ExperienceEmergent Practices of Learning Analytics in K-12 Classrooms10.4018/979-8-3693-0066-4.ch003(26-56)Online publication date: 29-Dec-2023
    • (2022)I Cannot See Students Focusing on My Presentation; Are They Following Me? Continuous Monitoring of Student Engagement through “Stungage”Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3503252.3531307(243-253)Online publication date: 4-Jul-2022
    • Show More Cited By

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media