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Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
Öncel, Püren; Flynn, Lauren E.; Sonia, Allison N.; Barker, Kennis E.; Lindsay, Grace C.; McClure, Caleb M.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2021
Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…
Descriptors: Computer Assisted Instruction, Writing Evaluation, Formative Evaluation, Summative Evaluation
Stephanie Link; Robert Redmon; Yaser Shamsi; Martin Hagan – CALICO Journal, 2024
Artificial intelligence (AI) for supporting second language (L2) writing processes and practices has garnered increasing interest in recent years, establishing AI-mediated L2 writing as a new norm for many multilingual classrooms. As such, the emergence of AI-mediated technologies has challenged L2 writing instructors and their philosophies…
Descriptors: English for Academic Purposes, Teaching Methods, Second Language Learning, Second Language Instruction
How Online Collaborative Writing Affects English Language Learning (ELL) Students' Writing Processes
Lin, Show Mei – College Student Journal, 2022
The purpose of this study was to explore how online writing technology affects ELL students' writing processes from the perceptions of twelve ELL students. To answer this question, the quantity of participation, interviews, and refection journal analysis were used to gather information. The findings indicated that there were advantages (including…
Descriptors: English Language Learners, Journal Writing, Computer Assisted Instruction, Writing Processes
Hattie, John; Crivelli, Jill; Van Gompel, Kristin; West-Smith, Patricia; Wike, Kathryn – Online Submission, 2021
Feedback is powerful but variable. This study investigates which forms of feedback are more predictive of improvement to students' essays, using "Turnitin Feedback Studio"--a computer augmented system to capture teacher and computer-generated feedback comments. The study used a sample of 3,204 high school and university students who…
Descriptors: Feedback (Response), Writing Evaluation, High School Students, Undergraduate Students
Mohsen, Mohammed Ali; Qassem, Mutahar – Journal of Psycholinguistic Research, 2020
Second language writing researchers have examined the affordances of Automated Writing Evaluation programs in providing immediate feedback that helps improve students' writing outputs. However, a little is known about tracking learners' process during writing essays and whether much/less pauses made by learners could predict good/poor quality of…
Descriptors: Second Language Learning, Writing Strategies, Keyboarding (Data Entry), Writing Skills
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
Liu, Sha; Yu, Guoxing – Language Learning & Technology, 2022
This study used eye-tracking, in combination with stimulated recalls and reflective journals, to investigate L2 learners' engagement with automated feedback and the impact of feedback explicitness and accuracy on their engagement. Twenty-four Chinese EFL learners revised their writing through Write & Improve with Cambridge, a new automated…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Feedback (Response)
Jiang, Wei; Eslami, Zohreh R. – Computer Assisted Language Learning, 2022
Although the effectiveness of computer-mediated collaborative writing (CMCW) is confirmed by many recent studies, only a few have investigated whether linguistic knowledge and writing skills learned through collaboration can be internalized and transferred to individual writing. This study uses a pre-and post-test design to investigate the impact…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Second Language Instruction
Waragai, Ikumi; Ohta, Tatsuya; Kurabayashi, Shuichi; Kiyoki, Yasushi; Sato, Yukiko; Brückner, Stefan – Research-publishing.net, 2017
This paper presents the prototype of a foreign language learning space, based on the construction of an integrated formal/informal learning environment. Before the background of the continued innovation of information technology that places conventional learning styles and educational methods into new contexts based on new value-standards,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Simulation, Computer Assisted Instruction
Barkaoui, Khaled – ETS Research Report Series, 2015
This study aimed to describe the writing activities that test takers engage in when responding to the writing tasks in the "TOEFL iBT"[superscript R] test and to examine the effects of task type and test-taker English language proficiency (ELP) and keyboarding skills on the frequency and distribution of these activities. Each of 22 test…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Writing Instruction
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
Harbusch, Karin; Itsova, Gergana; Koch, Ulrich; Kuhner, Christine – CALICO Journal, 2009
We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary…
Descriptors: Feedback (Response), Sentences, Grammar, Writing Processes

Hartley, James – Visible Language, 1991
Provides a review of some of the main issues covered in research on writing, and indicates where this research may be found. Discusses the nature of writing, learning to write, computers and writing, and evaluating written products. (PRA)
Descriptors: Computer Assisted Instruction, Higher Education, Literature Reviews, Process Approach (Writing)
Keetley, Elizabeth D. – 1995
A study determined the effectiveness of using a computer word processor as compared to the traditional paper-and-pencil method for process story writing. Students in a first-grade classroom in the Mark Gardiner Hoyle Elementary School located in Swansea, Massachusetts, were randomly divided into a control group of 12 students and an experimental…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Grade 1, Instructional Effectiveness