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Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies
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Jiang, Jiahong; Yu, Yibing – International Journal of Information and Communication Technology Education, 2014
English writing, an indispensable skill in English learning, plays an important role in improving learners' language proficiency. With the wide spread and use of wired or wireless internet, EFL students can easily help and be helped with English writing. Therefore, the application of internet-based peer feedback training on writing to foreign or…
Descriptors: Instructional Effectiveness, Internet, Peer Evaluation, Feedback (Response)
DeVoss, Danielle Nicole; Eidman-Aadahl, Elyse; Hicks, Troy – Jossey-Bass, An Imprint of Wiley, 2010
As many teachers know, students may be adept at text messaging and communicating online but do not know how to craft a basic essay. In the classroom, students are increasingly required to create web-based or multi-media productions that also include writing. Since writing in and for the online realm often defies standard writing conventions, this…
Descriptors: Writing Processes, Writing Skills, Technology Integration, Computer Assisted Instruction
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Gamon, Michael; Leacock, Claudia; Brockett, Chris; Dolan, William B.; Gao, Jianfeng; Belenko, Dmitriy; Klementiev, Alexandre – CALICO Journal, 2009
In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…
Descriptors: English (Second Language), Error Correction, Second Language Learning, Computer Assisted Instruction
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Ice, Phil; Swan, Karen; Diaz, Sebastian; Kupczynski, Lori; Swan-Dagen, Allison – Journal of Educational Computing Research, 2010
This article used work from the writing assessment literature to develop a framework for assessing the impact and perceived value of written, audio, and combined written and audio feedback strategies across four global and 22 discrete dimensions of feedback. Using a quasi-experimental research design, students at three U.S. universities were…
Descriptors: Feedback (Response), Writing Evaluation, Education Courses, Teacher Education Programs
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Dempsey, Michael S.; PytlikZillig, Lisa M.; Bruning, Roger H. – Assessing Writing, 2009
Writing is a highly valued skill that is often neglected in the classroom; one reason is that teachers often do not receive adequate training in writing assessment and instruction. Teachers, particularly preservice teachers, need practice making detailed assessments of student writing and to build their confidence for assessing student writing,…
Descriptors: Feedback (Response), Preservice Teacher Education, Preservice Teachers, Writing Evaluation
Schumm, Jeanne Shay, Ed. – Guilford Publications, 2006
Weaving together the latest knowledge and best practices for teaching children to read, this indispensable text and professional resource provides a complete guide to differentiated instruction for diverse learners. Uniquely integrative, the book places the needs of English language learners and students with disabilities front and center instead…
Descriptors: Second Language Learning, Research Methodology, Reading Skills, Literacy Education