Results 11 to 20 of about 17,069,335 (340)
Investigating teachers’ use of literacy-infused science strategies: A mixed methods study
The 2019 science results from the National Assessment of Educational Progress showed that 8th-grade students, especially economically challenged and emergent bilingual students, made few gains in science and reading achievement.
Allison M. Esparza+7 more
doaj +1 more source
A shared reading intervention: Changing perceptions of caregivers in a semi-rural township
Background: Many caregivers from low-middle income (LMI) households consider that preschool children are too young for shared book reading. Thus, many caregivers are unaware of their potentially powerful role in their children’s emergent literacy and ...
Tarryn Coetzee+2 more
doaj +1 more source
Having incorporated a digital aspect to our academic literacy course, and having monitored this over the last three years, we have come to believe that online mentoring can serve as an essential form of tutoring and mentoring. Our study is located in the
Arend Moeain+3 more
doaj +1 more source
Timing matters: The impact of immediate and delayed feedback on artificial language learning
In the present experiment, we used event-related potentials (ERP) to investigate the role of immediate and delayed feedback in an artificial grammar learning task.
Bertram Opitz+2 more
doaj +1 more source
Spatio-Temporal Neural Changes After Task-Switching Training in Old Age
In the present study, we aimed at examining selective neural changes after task-switching training in old age by not only considering the spatial location but also the timescale of brain activation changes (i.e., sustained/block-related or transient ...
Sandra Dörrenbächer+6 more
doaj +1 more source
Background Lack of agreement about criteria and terminology for children's language problems affects access to services as well as hindering research and practice.
D. Bishop+60 more
semanticscholar +1 more source
BioBERT: a pre-trained biomedical language representation model for biomedical text mining [PDF]
Motivation Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows. With the progress in natural language processing (NLP), extracting valuable information from biomedical literature has gained ...
Jinhyuk Lee+6 more
semanticscholar +1 more source
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its variants, GPT-2/3, and others, most recently Switch-C, have pushed the boundaries of the possible ...
Emily M. Bender+3 more
semanticscholar +1 more source
Fandom and identity construction: an analysis of Thai fans’ engagement with Twitter
In our digital era, fandom has become a social and cultural phenomenon, notably in Thailand. Fans are dedicated, and creating fan text (i.e., text production made by fans about their object of fandom) is one way of showing dedication and passion to the ...
Pitchapa Smutradontri, Savitri Gadavanij
doaj +1 more source
Interventions that train parents to share picture books with children are seen as a strategy for supporting child language development. We conducted meta-analyses using robust variance estimation modeling on results from 19 RCTs (Ntotal = 2,594 ...
Nicholas Dowdall+5 more
semanticscholar +1 more source