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Effects of Annotation Sharing and Guided Annotation Strategies on Second Language Reading

Computerized annotation has gained great popularity and is a main tool among the various explorations of computerized second language reading. The present dissertation study investigated whether and how annotation sharing and guidance on annotation strategies could promote second language reading comprehension. In this study, I proposed six annotation strategies which fulfilled the need to deepen second language learners’ understanding about the basic components and developing their skills to use the components to express their thoughts. The results revealed that annotation sharing was more effective than private annotation, and guidance on annotation strategies was more effective than personal strategies (though this difference was not significant) in promoting L2 reading comprehension. Implications of the findings relating how to better use the guided annotation strategies and how to integrate them into second language learning and teaching are discussed. / A Dissertation submitted to the Department of Educational Psychology and Learning Systems in partial fulfillment of the requirements for the degree of Doctor of Philosophy. / Spring Semester 2018. / April 2, 2018. / Annotation Strategies, Chinese, Computerized Annotation, Second Language Reading / Includes bibliographical references. / Valerie Shute, Professor Directing Dissertation; Feng Lan, University Representative; Vanessa Dennen, Committee Member; Fengfeng Ke, Committee Member.
ContributorsHuang, Yujia (author), Shute, Valerie J., 1953- (professor directing dissertation), Lan, Feng (university representative), Dennen, Vanessa P., 1970- (committee member), Ke, Fengfeng (committee member), Florida State University (degree granting institution), College of Education (degree granting college), Department of Educational Psychology and Learning Systems (degree granting departmentdgg)
PublisherFlorida State University
Source SetsFlorida State University
LanguageEnglish, English
Detected LanguageEnglish
TypeText, text, doctoral thesis
Format1 online resource (134 pages), computer, application/pdf

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