Motivation is well-known to have a crucial influence in the growth and acquisition of language skills, including reading comprehension writing. From this point view, goal study was find out how 4th graders' comprehension, writing motivation read write are connected. Conducted according correlational research design, consisted total 581 students, 297 boys 284 girls, studying at grade public prim...

The purpose of this research to describe the implementation SQ3R in teaching reading comprehension and identify students’ responses toward SQ3R. This used a qualitative case study conducted at MA Al-Khairiyah Pipitan. It involved one class eleventh grade which consists 17 students. data were collected through observation, interview, documentation. from three instruments analyzed qualitatively. ...

This chapter describes a study of literacy learning in Deaf children who acquire American Sign Language (ASL) as a first language and learn to read and write English as a second language.1 Literacy can be defined beyond the basic tasks of reading and writing to include the strong connection between language learning and the individual’s thinking, identity, and community. This framework emphasiz...

In this study, we analysed the cognitive abilities that predict reading and writing attainment in Chinese language for Mandarin-speaking children. A total of 140 third-graders studying Ningbo, Zhejiang were evaluated their visual cognition including perception memory, naming speed, vocabulary knowledge, phonological skills, nonverbal intelligence, to read write. The results multiple regression ...

Performing typical network tasks such as node scanning and path tracing can be difficult in large and dense graphs. To alleviate this problem we use eye-tracking as an interactive input to detect tasks that users intend to perform and then produce unobtrusive visual changes that support these tasks. First, we introduce a novel fovea based filtering that dims out edges with endpoints far removed...

Reading comprehension is a challenging task in natural language processing and requires a set of skills to be solved. While current approaches focus on solving the task as a whole, in this paper, we propose to use a neural network ‘skill’ transfer approach. We transfer knowledge from several lower-level language tasks (skills) including textual entailment, named entity recognition, paraphrase d...