Planning Positive Reinforcement Cycles in Behavior Intervention Plans

Zimmerman, Kathleen N.; Torelli, Jessica N.; Chow, Jason C.

doi:10.1007/s40617-021-00663-8

Cited by 3 publications

(5 citation statements)

References 48 publications

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“…For example, engagement during literacy centers may look like students visually attending to a book, selecting an audiobook on an electronic device, or gathering materials for a writing response journal. Measuring classwide engagement can also occur using MTS, although the focus will be on the total number of students engaged at each interval (see Zimmerman et al, 2022 for a detailed tutorial).…”

Section: Engagement As An Alternative Measurementioning

confidence: 99%

“…Third, an interval size—the number of seconds between recording data—must be selected. Given teachers often collect data while simultaneously delivering instruction, interval sizes of 12 to 60 s are recommended for measuring student or class engagement using MTS procedures (Ledford et al, 2015; Zimmerman et al, 2022). Because smaller interval sizes are more accurate (Ledford et al, 2015), select the smallest interval that is most feasible for your setting and data collectors.…”

Section: A Guide To the Measurement Of Individual Engagementmentioning

confidence: 99%

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Engagement as an Alternative to Noncompliance Measurement: Promoting Validity, Accuracy, and Student Outcomes

Malone,

Kurth,

Zimmerman

2024

Beyond Behavior

Self Cite

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While noncompliance is a concerning challenging behavior and commonly reported by educators, its measurement is likely to be invalid and inaccurate given the subjectivity of the operational definition. Engagement is offered as a more valid, accurate measurement that may provide data regarding the amount of instruction accessed by the student. In this article, we outline limitations of noncompliance measurement and provide resources for educators to measure and support varying forms of engagement to improve student outcomes.

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Section: Engagement As An Alternative Measurementioning

confidence: 99%

Section: A Guide To the Measurement Of Individual Engagementmentioning

confidence: 99%

Engagement as an Alternative to Noncompliance Measurement: Promoting Validity, Accuracy, and Student Outcomes

Malone,

Kurth,

Zimmerman

2024

Beyond Behavior

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, engagement during literacy centers may look like students visually attending to a book, selecting an audiobook on an electronic device, or gathering materials for a writing response journal. Measuring class-wide engagement can also occur using MTS, although the focus will be on the total number of students engaged at each interval (see Zimmerman et al, 2022 for a detailed tutorial).…”

Section: Considering Class-wide Engagementmentioning

confidence: 99%

“…Third, an interval size must be selected (i.e., the number of seconds between recording data). Given teachers often collect data while simultaneously delivering instruction, interval sizes of 12 s to 60 s are recommended for measuring student or class engagement using MTS procedures (Ledford et al, 2015;Zimmerman et al, 2022). Smaller interval sizes are more accurate (Ledford et al, 2015), so select the smallest interval that is most feasible for your setting and data collectors.…”

Section: A Guide To Individual Engagement Measurementmentioning

confidence: 99%

Noncompliance Measurement Pre-Print, Malone et al., 2023

Malone¹,

Kurth²,

Zimmerman³

2023

Preprint

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While noncompliance is a concerning challenging behavior and commonly reported by educators, the measurement of noncompliance is likely to be invalid and inaccurate, given the subjectivity of its operational definition. Engagement is offered as a more valid, accurate measurement that provides data regarding the amount of instruction accessed by the student. This paper outlines limitations of noncompliance measurement and provides resources for educators to measure and support varying forms of engagement to improve student outcomes.

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“…Users might benefit from clear graphics such as charts and graphs to better follow their progress. Incorporating rewards, virtual badges, or brief celebratory messages should be provided when users meet goals to provide positive reinforcement (Zimmerman et al, 2022). To solve specialized concerns, feedback should include proposals for change, such as links to tutorials or demonstration videos.…”

Section: Recommendations For Implementing Bcts Within Fitness Appsmentioning

confidence: 99%

Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis

Kuru

2023

Health Educ Behav

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In the field of artificial intelligence-based fitness apps, the effective integration of behavior change techniques (BCTs) is critical for promoting physical activity and improving health outcomes. However, the specific BCTs employed by apps and their impact on user engagement and behavior change are not explored sufficiently. This study investigates the Freeletics fitness app through a mixed-methods approach to evaluate the use of BCTs. In the quantitative analysis, fifteen unique BCTs were identified based on the Behavior Change Technique Taxonomy (V1). In the qualitative analysis, user reviews ( n=400) were examined to understand perspectives on the app’s effectiveness in promoting behavior change. Goal setting, action planning, self-monitoring of behavior, and social support were among the most prevalent BCTs identified in the Freeletics app, and their effectiveness in enhancing user engagement and promoting behavior change was also highlighted by user reviews. Among the areas of improvement identified in the study were the need for simplifying personalization options and addressing user concerns regarding the specificity of feedback. The study underscores the importance of integrating BCTs effectively within AI-based fitness apps to drive user engagement and facilitate behavior change. It contributes valuable insights into the design and implementation of BCTs in fitness apps and offers recommendations for developers, emphasizing the significance of goal setting, feedback mechanisms, self-monitoring, and social support. By understanding the impact of specific BCTs on user behavior and addressing user concerns, developers can create more effective fitness apps, ultimately promoting healthier lifestyles and positive behavior change.

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Planning Positive Reinforcement Cycles in Behavior Intervention Plans

Cited by 3 publications

References 48 publications

Engagement as an Alternative to Noncompliance Measurement: Promoting Validity, Accuracy, and Student Outcomes

Engagement as an Alternative to Noncompliance Measurement: Promoting Validity, Accuracy, and Student Outcomes

Noncompliance Measurement Pre-Print, Malone et al., 2023

Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis

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