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Neuman, Susan B.; Flynn, Rachel; Wong, Kevin M.; Kaefer, Tanya – Grantee Submission, 2020
Classic studies of educational media have demonstrated that children can engage in quick, incidental word learning on the basis of a single exposure of a program. Since most words are learned from context, a lingering question has been whether the degree of contextual support affects word learning. Using a within-subjects design this study…
Descriptors: Incidental Learning, Vocabulary Development, Word Recognition, Teaching Methods
Yarbro, Jeffrey T.; Olney, Andrew M. – Grantee Submission, 2021
This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…
Descriptors: Definitions, Learning Processes, Models, Context Effect
Solis, Michael; Reutebuch, Colleen K.; Falcomata, Terry; Jimenez, Zaira; Cravalho, Danielle – Grantee Submission, 2021
Aim: We conducted two separate but related multiple baseline with alternating treatment single-case design studies to investigate the effect of the same reading intervention for students with autism spectrum disorder being implemented under different conditions. Method: We conducted a researcher-implemented study in a public school (Study 1) and a…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Intervention, Reading Instruction
Kapelner, Adam; Soterwood, Jeanine; NessAiver, Shalev; Adlof, Suzanne – Grantee Submission, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
Jones, Michael N.; Dye, Melody; Johns, Brendan T. – Grantee Submission, 2017
Classic accounts of lexical organization posit that humans are sensitive to environmental frequency, suggesting a mechanism for word learning based on repetition. However, a recent spate of evidence has revealed that it is not simply frequency but the diversity and distinctiveness of contexts in which a word occurs that drives lexical…
Descriptors: Word Frequency, Vocabulary Development, Context Effect, Semantics
Rebecca A. Dore; Jennifer M. Zosh; Kathy Hirsh-Pasek; Roberta M. Golinkoff – Grantee Submission, 2017
Digital media and electronic toys are changing the landscape of childhood. How does this change impact language learning? In this chapter, we explore potential alignment between six established principles of language and children's engagement with digital media and electronic toys. We argue that electronic toys and digital media are not solely…
Descriptors: Vocabulary Development, Electronic Learning, Toys, Information Technology
Goble, Priscilla; Hanish, Laura D.; Martin, Carol Lynn; Eggum-Wilkens, Natalie D.; Foster, Stacie A.; Fabes, Richard A. – Grantee Submission, 2016
The majority of early education programs promote children's learning through a mix of experiences in child- and teacher-managed contexts. The current study examined time spent in child- and teacher-managed contexts and the nature of children's experiences with teachers in these contexts as they relate to children's skill development. Participants…
Descriptors: Preschool Children, Preschool Education, Educational Environment, School Readiness