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Showing 1 to 15 of 33 results Save | Export
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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
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Maag, John W. – Journal of Education and Learning, 2020
High probability request (high-"p") sequences, based on the momentum of behavior principle, have been an effective intervention for improving compliance and work completion for students who display challenging behaviors. They have been portrayed as a low-intensity intervention because of being perceived as simple, clear, and easy for any…
Descriptors: Probability, Sequential Approach, Intervention, Compliance (Psychology)
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Polyzou, Agoritsa; Nikolakopoulos, Athanasios N.; Karypis, George – International Educational Data Mining Society, 2019
Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…
Descriptors: Markov Processes, Course Selection (Students), Undergraduate Students, Decision Making
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De Nóbrega, José Renato – Teaching Statistics: An International Journal for Teachers, 2017
A strategy to facilitate understanding of spatial randomness is described, using student activities developed in sequence: looking at spatial patterns, simulating approximate spatial randomness using a grid of equally-likely squares, using binomial probabilities for approximations and predictions and then comparing with given Poisson…
Descriptors: Statistical Analysis, Sequential Approach, Pattern Recognition, Simulation
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Dayal, Hem Chand; Sharma, Sashi – Australian Journal of Teacher Education, 2020
There is a rich literature on students' and teachers' intuitions and misconceptions about probability. However, less attention has been paid to the development of pre-service teachers' probabilistic thinking in teacher education. Based on this, the second author developed a lesson sequence for teaching probability. In particular, it demonstrates…
Descriptors: Probability, Preservice Teachers, Preservice Teacher Education, Game Based Learning
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Cook, Joshua; Lynch, Collin F.; Hicks, Andrew G.; Mostafavi, Behrooz – International Educational Data Mining Society, 2017
BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…
Descriptors: Models, Bayesian Statistics, Data Use, Intelligent Tutoring Systems
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Sharma, Sashi – Teaching Statistics: An International Journal for Teachers, 2015
There is a considerable and rich literature on students' misconceptions in probability. However, less attention has been paid to the development of students' probabilistic thinking in the classroom. This paper offers a sequence, grounded in socio-constructivist perspective for teaching probability.
Descriptors: Probability, Thinking Skills, Constructivism (Learning), Teaching Methods
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Buis, Maarten L. – Sociological Methods & Research, 2017
This article deals with a model for describing a sequence of events, for example, education is typically attained by a set of transitions from one level of education to the next. In particular, this article tries to reconcile measures describing the effect of a variable on each of these transitions, with measures describing the effect of this…
Descriptors: Models, Measurement Techniques, Regression (Statistics), Sequential Approach
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Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
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Balta, Ebru; Omur Sunbul, Secil – Eurasian Journal of Educational Research, 2017
Purpose: Position effects may influence examinees' test performances in several ways and trigger other psychometric issues, such as Differential Item Functioning (DIF) .This study aims to supply test forms in which items in the test are ordered differently, depending on their difficulty level (from easy to difficult or difficult to easy), to…
Descriptors: Test Items, Sequential Approach, Difficulty Level, Mathematics Tests
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Leach, Debra – Intervention in School and Clinic, 2016
Students with learning disabilities often struggle with math fact fluency and require specialized interventions to recall basic facts. Deficits in math fact fluency can result in later difficulties when learning higher-level mathematical computation, concepts, and problem solving. The response-to-intervention (RTI) and…
Descriptors: Probability, Sequential Approach, Multiplication, Learning Disabilities
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Chernoff, Egan J.; Mamolo, Ami; Zazkis, Rina – EURASIA Journal of Mathematics, Science & Technology Education, 2016
By focusing on a particular alteration of the comparative likelihood task, this study contributes to research on teachers' understanding of probability. Our novel task presented prospective teachers with multinomial, contextualized sequences and asked them to identify which was least likely. Results demonstrate that determinants of…
Descriptors: Elementary School Teachers, Middle School Teachers, Multiple Choice Tests, Knowledge Level
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