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Zhang, Yingbin; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; Ocumpaugh, Jaclyn; Biswas, Gautam – European Journal of Psychology of Education, 2023
The feelings of difficulty and familiarity (FOD and FOF) are two types of metacognitive experiences. Both may influence student engagement and the application of metacognitive strategies, but these relationships are not well understood, in part because many studies have relied on self-report measures of behaviors that may not accurately reflect…
Descriptors: Metacognition, Difficulty Level, Familiarity, Learning Strategies
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Zhang Yingbin; Paquette, Luc; Baker, Ryan S.; Ocumpaugh, Jaclyn; Bosch, Nigel; Biswas, Gautam; Munshi, Anabil – Journal of Learning Analytics, 2021
Confusion may benefit learning when it is resolved or partially resolved. Metacognitive strategies (MS) may help learners to resolve confusion when it occurs during learning and problem solving. This study examined the relationship between confusion and MS that students evoked in Betty's Brain, a computer-based learning-by-modelling environment…
Descriptors: Metacognition, Brain, Grade 6, Emotional Response
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Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
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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
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Emara, Mona; Hutchins, Nicole M.; Grover, Shuchi; Snyder, Caitlin; Biswas, Gautam – Journal of Learning Analytics, 2021
The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively…
Descriptors: Cooperative Learning, Self Management, Metacognition, Computer Science Education
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 – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
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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
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Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Journal of Learning Analytics, 2015
Researchers have long recognized the potential benefits of open-ended computer- based learning environments (OELEs) to help students develop self-regulated learning (SRL) behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating "coherence…
Descriptors: Educational Environment, Computer Assisted Instruction, Independent Study, Learning Strategies
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Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
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Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Educational Technology Research and Development, 2013
Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Mediated Communication, Intelligent Tutoring Systems