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Zhou, Guojing; Azizsoltani, Hamoon; Ausin, Markel Sanz; Barnes, Tiffany; Chi, Min – International Journal of Artificial Intelligence in Education, 2022
In interactive e-learning environments such as Intelligent Tutoring Systems, pedagogical decisions can be made at different levels of granularity. In this work, we focus on making decisions at "two levels": whole problems vs. single steps and explore three types of granularity: "problem-level only" ("Prob-Only"),…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Decision Making, Problem Solving
Niebaum, Jesse C.; Munakata, Yuko – Journal of Cognition and Development, 2023
Performance on lab assessments of executive functions predicts academic achievement and other positive life outcomes. A primary goal of research on executive functions has been to design interventions that improve outcomes like academic achievement by improving executive functions. These interventions typically involve extensive practice on…
Descriptors: Executive Function, Academic Achievement, Individual Differences, Learner Engagement
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
Vassoyan, Jean; Vie, Jill-Jênn – International Educational Data Mining Society, 2023
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…
Descriptors: Reinforcement, Networks, Simulation, Educational Technology
Frank-Crawford, Michelle A.; Borrero, John C.; Newcomb, Eli T.; Chen, Ting; Schmidt, Jonathan D. – Journal of Behavioral Education, 2019
We evaluated preference for and efficacy of distributed and accumulated response--reinforcer arrangements during discrete-trial teaching for unmastered tasks. During the distributed arrangement, participants received 30-s access to a reinforcer after each correct response. During accumulated arrangements, access was accrued throughout the work…
Descriptors: Reinforcement, Skill Development, Preferences, Teacher Response
Cristian Buendía-Atencio; Gilles Paul Pieffet; Vaneza Paola Lorett Velásquez – Journal of Chemical Education, 2022
Identifying and naming inorganic compounds is sometimes a challenge for many first-year chemistry and engineering students; however, these difficulties can be overcome after extensive practice using homework sets based on naming inorganic compounds or applying inorganic nomenclature rules. Werner is a card game in honor of Professor Alfred Werner…
Descriptors: Educational Games, Reinforcement, Chemistry, Science Education
Dueñas, Ana D.; Wood, Christina; Maher, Courtney E.; Sanchula, Greeshma – Education and Treatment of Children, 2022
Successful social inclusion of children with autism in mainstream preschool settings requires ongoing social interactions with neurotypical (NT) peers. To meet the social needs of children with autism in these settings, NT peer training is needed. We evaluated the effects of video modeling, self-management, and reinforcement on social responses of…
Descriptors: Peer Teaching, Preschool Children, Interpersonal Competence, Video Technology
Amso, Dima; Kirkham, Natasha – Child Development Perspectives, 2021
Visual attention both guides and is guided by learning and memory systems. In this article, we use a multiple-memory systems framework to examine the interplay between attention and memory that begins in early postnatal life. We review how attention and memory interact to support infant development with respect to perceptual learning about objects…
Descriptors: Systems Approach, Memory, Learning Processes, Correlation
Belisle, Jordan; Huggins, Kate; Doherty, Meghan; Stanley, Caleb R.; Dixon, Mark R. – Analysis of Verbal Behavior, 2020
We sought to evaluate the efficacy of successive matching training for establishing generalized reflexive matching across 4 children with autism. In Experiment 1, differential reinforcement with delay fading was efficacious in establishing "yes" and "no" matching and nonmatching responses in 2 participants when 2 identical or…
Descriptors: Children, Autism, Pervasive Developmental Disorders, Training
Mak, Carolyn; Koustova, Natasha – Theory Into Practice, 2023
Recess is an important and unique component of the school day, and yet there is a relative paucity of research on its impact on young children. Moreover, recesses are often perceived negatively by educators because they can detract from academic instructional time and, depending on the kind of play and interactions between students, may also be…
Descriptors: Recess Breaks, Social Emotional Learning, Playgrounds, Playground Activities
Chelsea Williams; Jamie Bain – Journal of Extension, 2023
As community members continue to experience racial trauma at both individual and community levels, our Extension team responded by adapting an anti-racism leadership training program to be more trauma-informed. Our team designed a tool using Substance Abuse and Mental Health Services Administration's trauma-informed principles to support public…
Descriptors: Trauma Informed Approach, Racism, Community Education, Extension Education
Demchak, MaryAnn; Sutter, Chevonne; Grumstrup, Brianna; Forsyth, Andrea; Grattan, Jill; Molina, Leslie; Fields, C. J. – Intervention in School and Clinic, 2020
Applied behavior analysis (ABA) is a widely studied and often used approach to working with human behavior. However, there are numerous myths surrounding what ABA is, who is it for, and how it is implemented. The purpose of this article is to identify, explain origins of, and dispel seven common myths about ABA.
Descriptors: Applied Behavior Analysis, Misconceptions, Autism, Pervasive Developmental Disorders
Wiskow, Katie M.; Matter, Ashley L.; Donaldson, Jeanne M. – Analysis of Verbal Behavior, 2018
A lag schedule of reinforcement is one way to increase response variability; however, previous research has been mixed with regard to the necessary parameters to increase variability. For some individuals, low schedule requirements (e.g., Lag 1) are sufficient to increase variability. For other individuals, higher lag schedules (e.g., Lag 3) or a…
Descriptors: Prompting, Naming, Children, Autism
Schlinger, Henry D., Jr. – Analysis of Verbal Behavior, 2017
In the present essay, commemorating the 60th anniversary of the publication of B. F. Skinner's "Verbal Behavior", I stand by and defend the judgment I expressed in my article "The Long Goodbye: Why B. F. Skinner's 'Verbal Behavior' Is Alive and Well on the 50th Anniversary of Its Publication" (2008c)--that Skinner's…
Descriptors: Reflection, Verbal Operant Conditioning, Reinforcement, Behavior Modification
Jacob B. Castleberry; Kevin M. Clark – Analytic Teaching and Philosophical Praxis, 2020
Philosophy for Children (P4C) is an educational program founded by Matthew Lipman and Ann Sharp in the 1970s to improve judgment in children by sharpening their critical, creative, and caring thinking skills. As children's engagement in philosophical dialogue is an essential component of the program, the teacher has a facilitative, rather than an…
Descriptors: Philosophy, Children, Teacher Student Relationship, Facilitators (Individuals)