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Recent work has pointed to the need for a detection-based approach
to transfer capable of discovering elusive crosslinguistic effects
through the use of human judges and computer classifiers that can
learn to predict learners' language backgrounds based on their
patterns of language use. This book addresses that need. It details
the nature of the detection-based approach, discusses how this
approach fits into the overall scope of transfer research, and
discusses the few previous studies that have laid the groundwork
for this approach. The core of the book consists of five empirical
studies that use computer classifiers to detect the native-language
affiliations of texts written by foreign language learners of
English. The results highlight combinations of language features
that are the most reliable predictors of learners' language
backgrounds.
While current educational technologies have the potential to
fundamentally enhance literacy education, many of these tools
remain unknown to or unused by today's practitioners due to a lack
of access and support. Adaptive Educational Technologies for
Literacy Instruction presents actionable information to educators,
administrators, and researchers about available educational
technologies that provide adaptive, personalized literacy
instruction to students of all ages. These accessible,
comprehensive chapters, written by leading researchers who have
developed systems and strategies for classrooms, introduce
effective technologies for reading comprehension and writing
skills.
While current educational technologies have the potential to
fundamentally enhance literacy education, many of these tools
remain unknown to or unused by today's practitioners due to a lack
of access and support. Adaptive Educational Technologies for
Literacy Instruction presents actionable information to educators,
administrators, and researchers about available educational
technologies that provide adaptive, personalized literacy
instruction to students of all ages. These accessible,
comprehensive chapters, written by leading researchers who have
developed systems and strategies for classrooms, introduce
effective technologies for reading comprehension and writing
skills.
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