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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
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Bosch, Nigel; Paquette, Luc – Journal of Educational Data Mining, 2021
Transition metrics, which quantify the propensity for one event to follow another, are often utilized to study sequential patterns of behaviors, emotions, actions, and other states. However, little is known about the conditions in which application of transition metrics is appropriate. We report on two experiments in which we simulated sequences…
Descriptors: Sequential Approach, Probability, Measurement Techniques, Statistical Analysis
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Kubra Sayar; Emrah Gulboy; Serife Yucesoy-Ozkan; Muhammet Sait Baran – Behavioral Disorders, 2024
Non-compliance is a challenge for practitioners serving children with and without disabilities. Many interventions have been developed to increase compliance. High-probability request sequences (HPRS), an antecedent-based intervention that is based on behavioral momentum theory, is one way to increase compliant behavior. HPRS includes the…
Descriptors: Compliance (Psychology), Students with Disabilities, Probability, Sequential Approach
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Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach