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Linking Text Readability and Learner Proficiency Using Linguistic Complexity Feature Vector Distance
Direct linkChen, Xiaobin; Meurers, Detmar – Computer Assisted Language Learning, 2019
How can we identify authentic reading material that matches the learner's proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the text that identifies the grade or proficiency level of the learners that the text is intended for. Such an approach is inadequate given that both the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Language Proficiency, Readability
Peer reviewedFreese, Anne Reilley – Computer Assisted Language Learning, 1997
Reviews the findings of some recent research on reading rate, comprehension, and subvocal speech; discusses how computer-assisted instruction can be used to help readers develop reading strategies for proficiency; and examines the implications of the research for software development, including drill and practice, reading process practice at…
Descriptors: Computer Assisted Instruction, Computer Software Development, Difficulty Level, Educational Technology
