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Rashedi, Roxanne N.; Bonnet, Kemberlee; Schulte, Rebecca J.; Schlundt, David G.; Swanson, Amy R.; Kinsman, Amy; Bardett, Nicole; Juárez, Pablo; Warren, Zachary E.; Biswas, Gautam; Kunda, Maithilee – Journal of Autism and Developmental Disorders, 2022
Interest continues to be high in technology-based interventions for individuals with autism spectrum disorder (ASD). Understanding the preferences and challenges of technology use among individuals with ASD can inform the design of such interventions. Through 18 interviews with parents, we used an iterative inductive-deductive approach to…
Descriptors: Autism Spectrum Disorders, Intervention, Interpersonal Competence, Preferences
Rashedi, Roxanne N.; Bonnet, Kemberlee; Shulte, Rebecca J.; Schlundt, David G.; Swanson, Amy R.; Kinsman, Amy; Bardett, Nicole; Juarez, Pablo; Warren, Zachary E.; Biswas, Gautam; Kunda, Maithilee – Grantee Submission, 2021
Interest continues to be high in technology-based interventions for individuals with Autism Spectrum Disorder (ASD). Understanding the preferences and challenges of technology use among individuals with ASD can inform the design of such interventions. Through 18 interviews with parents, we used an iterative inductive-deductive approach to…
Descriptors: Autism Spectrum Disorders, Intervention, Interpersonal Competence, Preferences
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Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – Metacognition and Learning, 2014
Metacognition and self-regulation are important for developing effective learning in the classroom and beyond, but novice learners often lack effective metacognitive and self-regulatory skills. However, researchers have demonstrated that metacognitive processes can be developed through practice and appropriate scaffolding. Betty's Brain, an…
Descriptors: Metacognition, Student Behavior, Scaffolding (Teaching Technique), Skill Development
Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2012
Our learning-by-teaching environment, Betty's Brain, captures a wealth of data on students' learning interactions as they teach a virtual agent. This paper extends an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs sequence mining techniques to…
Descriptors: Teaching Methods, Mathematics, Behavior Patterns, Academic Achievement