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Chen, Binbin; Bao, Lina; Zhang, Rui; Zhang, Jingyu; Liu, Feng; Wang, Shuai; Li, Mingjiang – Journal of Educational Computing Research, 2024
Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Writing Instruction
Reese Butterfuss; Rod D. Roscoe; Laura K. Allen; Kathryn S. McCarthy; Danielle S. McNamara – Journal of Educational Computing Research, 2022
The present study examined the extent to which adaptive feedback and just-in-time writing strategy instruction improved the quality of high school students' persuasive essays in the context of the Writing Pal (W-Pal). W-Pal is a technology-based writing tool that integrates automated writing evaluation into an intelligent tutoring system. Students…
Descriptors: High School Students, Writing Evaluation, Writing Instruction, Feedback (Response)
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Qian, Leyi; Zhao, Yali; Cheng, Yan – Journal of Educational Computing Research, 2020
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners' writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our…
Descriptors: Foreign Countries, Automation, Scoring, Writing (Composition)
Roscoe, Rod D.; Allen, Laura K.; McNamara, Danielle S. – Journal of Educational Computing Research, 2019
A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within…
Descriptors: High School Students, Writing Instruction, Computer Assisted Instruction, Writing Strategies
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Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
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Kellogg, Ronald T.; Whiteford, Alison P.; Quinlan, Thomas – Journal of Educational Computing Research, 2010
We examined whether an automated essay feedback system could improve the writing performance of college students. Students in a freshmen composition course received no feedback or varying amounts of formative feedback on their first drafts of three practice essays (none, intermittent, or continuous). The students wrote a first and then a revised…
Descriptors: Feedback (Response), Transfer of Training, Writing Instruction, Essays
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Kakkonen, Tuomo; Mozgovoy, Maxim – Journal of Educational Computing Research, 2010
Plagiarism has become a serious problem in education, and several plagiarism detection systems have been developed for dealing with this problem. This study provides an empirical evaluation of eight plagiarism detection systems for student essays. We present a categorical hierarchy of the most common types of plagiarism that are encountered in…
Descriptors: Plagiarism, Essays, Internet, Evaluation
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Seifried, Eva; Lenhard, Wolfgang; Baier, Herbert; Spinath, Birgit – Journal of Educational Computing Research, 2012
This study investigates the potential of a software tool based on Latent Semantic Analysis (LSA; Landauer, McNamara, Dennis, & Kintsch, 2007) to automatically evaluate complex German texts. A sample of N = 94 German university students provided written answers to questions that involved a high amount of analytical reasoning and evaluation.…
Descriptors: Foreign Countries, Computer Software, Computer Software Evaluation, Computer Uses in Education
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Bishop-Clark, Cathy; Courte, Jill; Evans, Donna; Howard, Elizabeth V. – Journal of Educational Computing Research, 2007
In this investigation, the use of the Alice programming language in an introductory computing class was studied from both a quantitative and qualitative perspective. Students in an introductory computing class participated in a 2.5-week unit to learn programming through the graphical programming environment of Alice. Quantitatively, students were…
Descriptors: Measures (Individuals), Computers, Investigations, Essays
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Kiili, Carita; Laurinen, Leena; Marttunen, Miika – Journal of Educational Computing Research, 2008
The Internet is a significant information resource for students due to the ease of access it allows to a vast amount of information. As the quality of the information on the Internet varies, it is important that students are able to evaluate such information critically. The aim of the study was to investigate how students evaluate Internet sources…
Descriptors: Evaluators, Secondary School Students, Essays, Writing Assignments
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Desjarlais, Malinda; Willoughby, Teena – Journal of Educational Computing Research, 2007
Having low domain knowledge is a significant constraint when using the Internet. This study examined the effectiveness of three potential supports for learners with low domain knowledge, including having plenty of time to search the Internet, using notes taken during the search when writing an essay about the topic, and having high levels of…
Descriptors: Undergraduate Students, Online Searching, Intelligent Tutoring Systems, Internet
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Clariana, Roy B.; Wallace, Patricia – Journal of Educational Computing Research, 2007
This proof-of-concept investigation describes a computer-based approach for deriving the knowledge structure of individuals and of groups from their written essays, and considers the convergent criterion-related validity of the computer-based scores relative to human rater essay scores and multiple-choice test scores. After completing a…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Construct Validity, Cognitive Structures