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Wechsung, Nicole B.; Leaf, Justin B.; Ferugson, Julia L.; Cihon, Joseph H.; Milne, Christine; Eddington, Kristel – Education and Training in Autism and Developmental Disabilities, 2023
Discrete trial teaching (DTT) is a common teaching methodology used within intervention for autistics/individuals diagnosed with autism spectrum disorder (ASD). Practice recommendations related to using DTT for receptive language instruction includes the desired size of the array of stimuli to be presented. Some recommendations include ensuring…
Descriptors: Autism Spectrum Disorders, Training, Intervention, Receptive Language
White, Mary-Genevieve – ProQuest LLC, 2023
Research has demonstrated the positive effects on reading achievement measures when content is conditioned as a reinforcer for prolonged reading. While previous research has focused on conditioning narrative texts on the relation to increased comprehension, there is no current research on the effects of conditioning informational texts. Experiment…
Descriptors: Reading Achievement, Reinforcement, STEM Education, Conditioning
Michael P. Mesa; Beth M. Phillips; Christopher J. Lonigan – Psychology in the Schools, 2023
Although previous research suggests the use of classroom management strategies can support student engagement and learning, gaps in the literature still exist including the frequency of classroom management strategies in small-group instruction. The purpose of this descriptive study was to measure the frequency of paraprofessionals' (n = 94)…
Descriptors: Paraprofessional School Personnel, Classroom Techniques, Incidence, Intervention
Ethan Prihar; Adam Sales; Neil Heffernan – Grantee Submission, 2023
This work proposes Dynamic Linear Epsilon-Greedy, a novel contextual multi-armed bandit algorithm that can adaptively assign personalized content to users while enabling unbiased statistical analysis. Traditional A/B testing and reinforcement learning approaches have trade-offs between empirical investigation and maximal impact on users. Our…
Descriptors: Trust (Psychology), Learning Management Systems, Learning Processes, Algorithms
Michael P. Mesa; Beth M. Phillips; Christopher J. Lonigan – Grantee Submission, 2023
Although previous research suggests the use of classroom management strategies can support student engagement and learning, gaps in the literature still exist including the frequency of classroom management strategies in small-group instruction. The purpose of this descriptive study was to measure the frequency of paraprofessionals' (n = 94)…
Descriptors: Paraprofessional School Personnel, Classroom Techniques, Incidence, Intervention
Shin, YoungJu; Lu, Yu – Health Education, 2021
Purpose: Communication plays an important role in health decisions and behaviors. Friends and family exert influence through communication and, when considering smoking, this is particularly salient among those friends and family who smoke. Guided by primary socialization theory and integrated behavioral model, the present study examined the…
Descriptors: Smoking, Health Behavior, Decision Making, Friendship
Howard P. Wills; Paul Caldarella; Leslie Williams; Kandace Fleming; Pei-Yu Chen – Grantee Submission, 2021
Middle school is a cornerstone for success in high school. However, cognitive, emotional, and behavioral engagement of adolescents often decline as they transition from elementary to middle school, resulting in lower school grades and more challenging behaviors, especially for adolescents with or at risk for emotional and behavioral disorders…
Descriptors: Middle School Students, Classroom Techniques, Positive Behavior Supports, Intervention
Rosales, Ma Krishna; Wilder, David A.; Montalvo, Melissa; Fagan, Benjamin – Journal of Applied Behavior Analysis, 2021
The high-probability (high-p) instructional sequence typically consists of the delivery of a series of high-p instructions immediately followed by the delivery of a low-probability (low-p) instruction and is a commonly used procedure to increase compliance among children with intellectual disabilities. In the current study, we used withdrawal…
Descriptors: Instructional Effectiveness, Sequential Approach, Compliance (Psychology), Probability
Lambert, Joseph M.; Torelli, Jessica N.; Houchins-Juarez, Nealetta J.; Tate, Savannah A.; Paranczak, Jessica L. – Journal of Behavioral Education, 2021
Previously applied research has shown independent manding is not likely to emerge when functional communication training (FCT) is implemented in conjunction with dense schedules of noncontingent reinforcement (NCR) but does emerge when it is implemented after NCR schedules have been leaned. One interpretation of these data may be that participants…
Descriptors: Reinforcement, Therapy, Prompting, Behavior Modification
Abby K. Hodges; Phillip S. Strain; Garrett J. Roberts – Journal of Positive Behavior Interventions, 2024
A single-case multiple baseline design across three families was used to evaluate the impact of a manualized Prevent-Teach-Reinforce for Families (PTR-F) process for addressing challenging behavior (CB) when delivered in a remote format (PTR-F: R). Results across three U.S. families showed that (a) a functional relation existed between parent…
Descriptors: Program Effectiveness, Behavior Problems, Behavior Modification, Parent Role
John W. Maag; Edward J. Daly III – Beyond Behavior, 2024
Differential negative reinforcement of alternative behavior is a technique in which students can escape a portion of a task they perceive to be unpleasant by reaching a predetermined criterion. In this article, we define the negative reinforcement trap and review research on differential negative reinforcement of alternative behavior. We then…
Descriptors: Student Motivation, Student Behavior, Productivity, Accuracy
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Meg Lipper; Leif K. Albright; Kenneth Reeve; Sharon Reeve; April Kisamore; Antonios Varelas – Journal of Behavioral Education, 2024
The present study evaluated the use of computerized equivalence-based instruction (EBI) to teach classes representing schedules of reinforcement to staff members. Four, 5-member classes representing fixed ratio, fixed interval, variable ratio, and variable interval schedules of reinforcement were taught. The participants were 16 staff members…
Descriptors: Evidence Based Practice, Faculty Development, Intervals, Reinforcement
Cassidy L. McDermott; Katherine Taylor; Sophie D. S. Sharp; David Lydon-Staley; Julia A. Leonard; Allyson P. Mackey – Developmental Science, 2024
Children vary in how sensitive they are to experiences, with consequences for their developmental outcomes. In the current study, we investigated how behavioral sensitivity at age 3 years predicts mental health in middle childhood. Using a novel repeated measures design, we calculated child sensitivity to multiple psychological and social…
Descriptors: Social Influences, Toddlers, Children, Predictor Variables
Vargo, Kristina K. – Intervention in School and Clinic, 2020
Classroom teachers are responsible for providing high-quality instruction to multiple students simultaneously. When students engage in problem behaviors, instructional quality and instructional time may be negatively impacted. A multiple schedule of reinforcement is a behavioral intervention strategy that allows teachers to signal to students…
Descriptors: Classroom Techniques, Reinforcement, Intervention, Behavior Problems