Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.

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49th Annual Convention; Denver, CO; 2023

Event Details


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Symposium #157
CE Offered: BACB
Applied Behavior Analysis (ABA) interventions to Enhance Dance: What Works Best?
Sunday, May 28, 2023
10:00 AM–10:50 AM
Hyatt Regency, Capitol Ballroom 5-7
Area: CBM; Domain: Applied Research
Chair: Shreeya Deshmukh (University of South Florida)
Discussant: Jennifer L Cook (University of Manitoba)
CE Instructor: Shreeya Deshmukh, M.S.
Abstract:

Previous research has shown evidence to suggest interventions such as TAGteach™ and video feedback are viable options to enhance sports performance, specifically in dance. This symposium focuses on recent developments and possible alternatives to utilizing video feedback to improve performance of skills related to dance. The first presentation will analyze the feedback delivered in the Deshmukh et al. (2022) study which compared verbal and video feedback to improve dance skills. The second presentation will compare the effects of TAGteach™ and self-evaluative video feedback on dance performance with beginner level dance students. Implications and limitations of each method will be discussed as well as areas for future research in dance. The presentations will be followed by a discussion from Dr. Jennifer Cook who will comment on these studies.

Instruction Level: Intermediate
Keyword(s): Dance, TagTeach, Verbal Feedback, Video Feedback
Target Audience:

This symposium is appropriate for BCBAs within their first 5 years of practice, including practitioners, supervisors, etc. and for those currently enrolled in or recently completed graduate-level work in ABA.

Learning Objectives: 1. Attendees will be able to discuss prior research conducted targeting the improvement of dance skills. 2. Attendees will be able to explain video feedback, verbal feedback, TagTeach and video self-evaluation procedures used in sports performance. 3. Attendees will be able to discuss the implications and limitations of verbal feedback, video feedback, TagTeach, and video self-evaluation procedures used for sports performance.
 
An Analysis of Feedback to Enhance Sports Performance
SHREEYA DESHMUKH (University of South Florida), Raymond G. Miltenberger (University of South Florida)
Abstract: Verbal feedback and video feedback are commonly used interventions to enhance sports performance in a variety of sports (e.g., basketball, golf, football, martial arts, dance, etc.). Deshmukh et al. (2022) compared the effects of verbal feedback versus video feedback to improve dance skills of three beginner-intermediate dancers. In this study, we conducted an analysis of the feedback delivered during training for participants in the Deshmukh et al. (2022) study. We analyzed the completeness and accuracy of the feedback. Completeness was the percentage of steps on the task analysis with feedback delivered. Accuracy was the percentage of steps where the feedback delivered (i.e., praise or corrective feedback) matched the correct or incorrect performance of the step. For all participants, the completeness of feedback was higher in video feedback than verbal feedback. For one participant, the accuracy of feedback was consistently higher in video feedback than verbal feedback. For two participants, the accuracy of feedback was slightly higher in video feedback than verbal feedback. The implications and limitations of verbal feedback and video feedback are discussed.
 
A Comparison of TAGteach® and Video Self-Evaluation to Increase Dance Movement Accuracy
ELIZA GOBEN (University of Kansas), Rachael Ferguson (Florida Institute of Technology), David A. Wilder (Florida Institute of Technology)
Abstract: Previous behavior analytic research to improve dance performance has demonstrated the effectiveness of TAGteach® and self-evaluative video feedback separately. However, no research has directly compared these two interventions. In this study, we used an adapted alternating treatment design to examine the effects of TAGteach® versus self-evaluative video feedback to improve the accuracy of dance movements among four beginner-level dancers. We counterbalanced the procedures across the two types of dance moves taught. All participants performed better on movements taught using TAGteach® compared to movements taught using self-evaluative video feedback. All participants also maintained the skill taught using TAGteach® to a greater degree than the skill taught using self-evaluative video feedback. We also collected procedural fidelity data; implementation of both procedures was near 100% fidelity. We discuss the results in terms of the social validity of the two procedures. Suggestions for future research are also provided. Based on these results, TAGteach® may be an effective and relatively efficient method of teaching dance skills.
 

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