Effectively managing a classroom is crucial in promoting positive student outcomes. Behavior-specific praise is an empirically supported strategy to reinforce desirable student behaviors. Following a review of the literature, we identified tactile prompting and self-monitoring as effective methods to increase teachers’ use of behavior-specific praise while sustaining intervention long enough until teachers contacted natural maintaining contingencies. We created electronic tactile awareness prompting with self-monitoring (eTAPS) by combining two applications on an Apple Watch. Using a multiple-baseline-across-participants design, this study primarily investigated the effects of eTAPS on special education teachers’ use of behavior-specific praise. Secondarily, this study investigated the impact that behavior-specific praise would have on the on-task behaviors of targeted students with disabilities demonstrating frequent off-task behaviors. Results indicated that eTAPS was effective in increasing and maintaining behavior-specific praise rates. Furthermore, significant increases in student on-task behavior occurred. Implications of results and future research are discussed.
Supported by decades of research on praise and its effect on student behaviors, we developed the Behavior-Specific Praise–Observation Tool (BSP-OT) to measure characteristics of effective praise. We evaluated interrater reliability of the BSP-OT to measure praise specificity, contingency, and variety using intraclass correlation (ICC) and Cohen’s kappa statistics. In addition, we assessed usefulness and practicality of the tool with social validity measures. Four raters with experience in praise research completed a survey and coded videos ( n = 14) of teachers in authentic situations delivering praise. Overall assessment indicated strong reliability between raters with ICC(2, k) of .80: 95% confidence interval (CI) = [0.77, 0.83], F(269, 19906) = 5.1, p < .001, and mean kappa score of .91. Furthermore, high social validity ratings suggest the BSP-OT is a valuable contribution to the field concerning praise research and teacher development. The process of developing the BSP-OT and study findings are presented, with a discussion of implications and suggestions for future research.
Teachers in special education classrooms often struggle with classroom management. In response, many educators are looking for technological solutions to assist in promoting positive classroom environments. Electronic behavior management programs (eBMPs) use strategies based in research that are shown to reduce challenging behavior and encourage positive behavior, such as reinforcement strategies and the Premack principle. This article explains the theoretical efficacies of eBMPs, describes three commonly used eBMPs, and provides procedures on how educators can get started implementing eBMPs with additional tips to consider.
Behavior-specific praise is a research-based classroom management strategy that promotes appropriate student behaviors. Praise specificity, however, may not be the only characteristic of praise that enhances efficacy. The current study examined teacher’s natural use of specific, contingent, and varied praise to understand additional qualities of praise. Praise statements of inservice special education ( n = 12), inservice general education ( n = 13), and dual special education/general education preservice teachers ( n = 17) were observed in natural elementary school settings. Statistical results did not indicate differences between teacher groups and praise characteristics; however, descriptive results demonstrate all teacher groups delivered low rates of general and specific praise. Percentages of praise contingency (average range = 59%–91.2%) suggest teachers did not deliver sufficient praise statements contingent on student behavior. Furthermore, percentages of praise variety (average range = 44.5%–57.7%) show use of repetitive praise statements that may reduce efficacy on student behaviors. These findings and other implications are discussed in the context of future praise research.
Enormous resources are committed by universities to prepare special educators to impact student outcomes of our most vulnerable and neediest learners. Generalizing teaching skills from university to K-12 classrooms must be a component of teacher preparation curriculum; otherwise, we continue to merely train our teacher candidates and hope they sustain and generalize their newly acquired skills. Through self-reported surveys and extant data analysis, we identify the extent to which our sample of special education teacher preparation programs are teaching their teacher candidates to generalize newly acquired teaching skills to in-service settings in K-12 classrooms. Results indicate ambiguity with familiarity of generalization techniques and fidelity of implementation. Programming for generalization is absent in reviewed course syllabi, and student teaching supervisors report a disconnect between university and classroom realities. We recommend a systematic approach to programming for generalization by increasing awareness of generalization techniques through professional development, including accountability measures in course syllabi, focusing on high-leverage practices to create more cohesive preparation programs, and improving communication between instructors and student teaching supervisors. Limitations and future research recommendations are discussed.
In light of the COVID-19 pandemic, many behavior analysts have temporarily transitioned to providing services using a telehealth model. This has required them to rapidly shift their treatment modality. The purpose of this article is to provide a review of some available technologies to support telehealth that will allow behavior analysts to conduct direct observation from a remote location. We reviewed 3 technologies that can be used for telehealth: (a) web cameras, (b) Swivl, and (c) telepresence robots. Features of each of these technologies are compared, and the benefits and drawbacks of each are reviewed. Sample task analyses for using each technology are also provided. Finally, tips for using telehealth with families are provided. Keywords technology . telehealth . telepresence robot . SwivlEditor's Note This manuscript is being published on an expedited basis, as part of a series of emergency publications designed to help practitioners of applied behavior analysis take immediate action to adjust to and mitigate the COVID-19 crisis. This article was submitted on April 21, 2020, and received final acceptance on May 5, 2020. The journal would like to especially thank Dr. Michael Cameron for his expeditious review of the manuscript. The views and strategies suggested by the articles in this series do not represent the positions of the Association for Behavior Analysis International or Springer Nature.
Students with emotional and behavioral disorders (EBD) exhibit problem behaviors that potentially result in lower performance in reading and related content areas. Researchers and policy makers have increasingly emphasized the need for evidence-based practices (EBPs) in reading. However, conclusions made regarding the effectiveness of the interventions strongly depend on the rigor of systematic reviews and meta-analyses used to identify intervention research. This article applied a set of established quality indicators to literature reviews of reading instruction for children with EBD. Systematic reviews and meta-analyses published in refereed journals between 1996 and 2018 were eligible for inclusion. Identified reviews ( n = 17) generally exhibited a range of methodological strengths; however, authors did not consistently describe coding procedures or assess the quality of primary studies. Implications for the identification of EBP follow a discussion of findings.
Motivation and engagement in mathematics are important for academic success and are sometimes compromised in students with disabilities who have experienced a history of frustration and failure. This article explains how general and special education teachers can implement three research-supported strategies for boosting motivation and engagement for elementary students with or at risk of emotional and behavioral disorders (EBD) in the mathematics classroom. The strategies include (a) reinforcing engagement and motivation in mathematics using behavior-specific praise and token economy systems; (b) teaching self-monitoring and self-regulation strategies to promote attentive behavior and academic achievement; and (c) using the high-preference strategy to build behavioral momentum and support completion of nonpreferred tasks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.