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Xue, Xiaorui; Xie, Shiwei; Mishra, Shitanshu; Wright, Anna M.; Biswas, Gautam; Levin, Daniel T. – Educational Technology Research and Development, 2022
Recent advances in eye-tracking technology afford the possibility to collect rich data on attentional focus in a wide variety of settings outside the lab. However, apart from anecdotal reports, it is not clear how to maximize the validity of these data and prevent data loss from tracking failures. Particularly helpful in developing these…
Descriptors: Case Studies, Eye Movements, Comparative Analysis, Human Posture
Rajendran, Ramkumar; Kumar, Anurag; Carter, Kelly E.; Levin, Daniel T.; Biswas, Gautam – International Educational Data Mining Society, 2018
Researchers have highlighted how tracking learners' eye-gaze can reveal their reading behaviors and strategies, and this provides a framework for developing personalized feedback to improve learning and problem solving skills. In this paper, we describe analyses of eye-gaze data collected from 16 middle school students who worked with Betty's…
Descriptors: Eye Movements, Reading Processes, Reading Strategies, Middle School Students
Zi, Xiaoman; Li, Shiyao; Rashedi, Roxanne; Rushdy, Marian; Lane, Ben; Mishra, Shitanshu; Biswas, Gautam; Swanson, Amy; Kinsman, Amy; Bardett, Nicole; Juarez, Pablo; Kunda, Maithilee – Grantee Submission, 2020
This paper reports initial results from a usability study conducted in the formative and user-centered design phase of a larger project to translate an existing, science-focused educational technology for neurotypical middle school students into a new, social-reasoning-focused educational technology for students on the autism spectrum.…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Educational Technology, Middle School Students
Dong, Yi; Biswas, Gautam – International Educational Data Mining Society, 2017
This paper discusses a novel approach for developing more refined and accurate learner models from student data collected from Open Ended Learning Environments (OELEs). OELEs provide students choice in how they go about constructing solutions to problems, and students exhibit a variety of learning behaviors in such environments. Building accurate…
Descriptors: Student Behavior, Models, Monte Carlo Methods, Learning Processes
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
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
Basu, Satabdi; Sengupta, Pratim; Biswas, Gautam – Research in Science Education, 2015
Students from middle school to college have difficulties in interpreting and understanding complex systems such as ecological phenomena. Researchers have suggested that students experience difficulties in reconciling the relationships between individuals, populations, and species, as well as the interactions between organisms and their environment…
Descriptors: Science Instruction, Ecology, Environmental Education, Scaffolding (Teaching Technique)