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Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Walkington, Candace; Woods, Dawn; Nathan, Mitchell J.; Chelule, Geoffrey; Wang, Min – Grantee Submission, 2019
Gestures are associated with powerful forms of understanding; however, their causative role in mathematics reasoning is less clear. We inhibit college students' gestures by restraining their hands, and examine the impact on language, recall, intuition, and mathematical justifications of geometric conjectures. We test four mutually exclusive…
Descriptors: Teaching Methods, Nonverbal Communication, Mathematics Instruction, College Students
Ng, Shukhan; Payne, Brennan R.; Stine-Morrow, Elizabeth A. L.; Federmeier, Kara D. – Grantee Submission, 2018
We investigated how struggling adult readers make use of sentence context to facilitate word processing when comprehending spoken language, conditions under which print decoding is not a barrier to comprehension. Stimuli were strongly and weakly constraining sentences (as measured by cloze probability), which ended with the most expected word…
Descriptors: Adults, Reading Difficulties, Sentences, Context Effect
Ward, W.; Cole, R.; Bolanos, D.; Buchenroth-Martin, C.; Svirsky, E.; Van Vuuren, S.; Weston, T.; Zheng, J.; Becker, L. – Grantee Submission, 2011
This paper describes My Science Tutor (MyST), an intelligent tutoring system designed to improve science learning by students in 3rd, 4th and 5th grades (7 to 11 years old) through conversational dialogs with a virtual science tutor. In our study, individual students engage in spoken dialogs with the virtual tutor Marni during 15 to 20 minute…
Descriptors: Elementary School Science, Elementary School Students, Science Education, Intelligent Tutoring Systems