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Kathryn S. McCarthy; Rod D. Roscoe; Laura K. Allen; Aaron D. Likens; Danielle S. McNamara – Grantee Submission, 2022
The benefits of writing strategy feedback are well established. This study examined the extent to which adding spelling and grammar checkers support writing and revision in comparison to providing writing strategy feedback alone. High school students (n = 119) wrote and revised six persuasive essays in Writing Pal, an automated writing evaluation…
Descriptors: High School Students, Automation, Writing Evaluation, Computer Software
Zhang, Mo; Sinharay, Sandip – International Journal of Testing, 2022
This article demonstrates how recent advances in technology allow fine-grained analyses of candidate-produced essays, thus providing a deeper insight on writing performance. We examined how essay features, automatically extracted using natural language processing and keystroke logging techniques, can predict various performance measures using data…
Descriptors: At Risk Persons, Writing Achievement, Educational Technology, Writing Improvement
Li, Wenjin; Lu, Zhihong; Liu, Qianwen – Research-publishing.net, 2020
Syntactic complexity is considered to be an important device for assessing the quality of writing in a second language (L2), as it indicates the diversity and complexity of production units or grammatical structures. This paper studies the development of Chinese college students' syntactic complexity in essay writing by using an Automatic Writing…
Descriptors: College Students, Syntax, Writing (Composition), Essays
Sato, Takeshi; Ogura, Masa'aki; Aota, Shoma; Burden, Tyler – Research-publishing.net, 2018
This study examines the effectiveness of an automated translation chatbot used in online interactions which consequently could enhance second/foreign language (L2) competence. Based on the sociocultural perspectives of learning, such as communication to recognize the difference from others and to be involved in sense-making processes, this study…
Descriptors: Automation, Computer Mediated Communication, Educational Technology, Computer Assisted Instruction
Dixon-Román, Ezekiel; Nichols, T. Philip; Nyame-Mensah, Ama – Learning, Media and Technology, 2020
In this article, we examine the sociopolitical implications of AI technologies as they are integrated into writing instruction and assessment. Drawing from new materialist and Black feminist thought, we consider how learning analytics platforms for writing are animated by and through entanglements of algorithmic reasoning, state standards and…
Descriptors: Racial Bias, Artificial Intelligence, Educational Technology, Writing Instruction
Eppler, Elisabeth; Meyer, Jan; Serowy, Steffen; Link, Karl; Pauk, Barbara; Filgueira, Luis – Research in Science Education, 2021
This educational study aimed to explore the feasibility and acceptance of a literacy exercise adopted from the real world of scientific publishing in a cell and tissue biology course. For that purpose, a tertiary-level multimodality science course, which integrated a blended learning faculty and student lectures, journal club, and wet laboratory…
Descriptors: Science Process Skills, Communication Skills, Cytology, Writing (Composition)
Shermis, Mark D. – Applied Measurement in Education, 2018
This article employs the Common European Framework Reference for Language Acquisition (CEFR) as a basis for evaluating writing in the context of machine scoring. The CEFR was designed as a framework for evaluating proficiency levels of speaking for the 49 languages comprising the European Union. The intent was to impact language instruction so…
Descriptors: Scoring, Automation, Essays, Language Proficiency
Law, Sweety – Higher Education Studies, 2019
Employers have continually indicated that writing instruction is much needed in higher education across all majors. It has become more imperative now than before to better prepare our graduates for professional success in an age of increasing writing necessity, data analytics and reporting, and technical sophistication. Writing assessment in a…
Descriptors: Student Evaluation, Writing Evaluation, Evaluation Methods, Educational Technology
Maas, Clare – ELT Journal, 2017
There is still debate surrounding what constitutes the most effective feedback on EFL learners' writing, particularly in English for Academic Purposes (EAP) settings. Unanswered questions are found in the literature on topics such as the best formats for feedback, the role of technology, authors' authority over written texts, and ways of helping…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, English for Academic Purposes
Liao, Hui-Chuan – ELT Journal, 2016
Despite the recent development of automated writing evaluation (AWE) technology and the growing interest in applying this technology to language classrooms, few studies have looked at the effects of using AWE on reducing grammatical errors in L2 writing. This study identified the primary English grammatical error types made by 66 Taiwanese…
Descriptors: Error Patterns, Revision (Written Composition), Process Approach (Writing), Grammar
Crossley, Scott A.; Varner, Laura K.; Roscoe, Rod D.; McNamara, Danielle S. – Grantee Submission, 2013
We present an evaluation of the Writing Pal (W-Pal) intelligent tutoring system (ITS) and the W-Pal automated writing evaluation (AWE) system through the use of computational indices related to text cohesion. Sixty-four students participated in this study. Each student was assigned to either the W-Pal ITS condition or the W-Pal AWE condition. The…
Descriptors: Intelligent Tutoring Systems, Automation, Writing Evaluation, Writing Assignments
Wang, Y.; Harrington, M.; White, P. – Journal of Computer Assisted Learning, 2012
This paper introduces "CTutor", an automated writing evaluation (AWE) tool for detecting breakdowns in local coherence and reports on a study that applies it to the writing of Chinese L2 English learners. The program is based on Centering theory (CT), a theory of local coherence and salience. The principles of CT are first introduced and…
Descriptors: Foreign Countries, Educational Technology, Expertise, Feedback (Response)
On the Reliability and Validity of Human and LSA-Based Evaluations of Complex Student-Authored Texts
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
Lai, Yi-hsiu – British Journal of Educational Technology, 2010
The purpose of this study was to investigate problems and potentials of new technologies in English writing education. The effectiveness of automated writing evaluation (AWE) ("MY Access") and of peer evaluation (PE) was compared. Twenty-two English as a foreign language (EFL) learners in Taiwan participated in this study. They submitted…
Descriptors: Feedback (Response), Writing Evaluation, Peer Evaluation, Grading
Rudner, Lawrence M.; Garcia, Veronica; Welch, Catherine – Journal of Technology, Learning, and Assessment, 2006
This report provides a two-part evaluation of the IntelliMetric[SM] automated essay scoring system based on its performance scoring essays from the Analytic Writing Assessment of the Graduate Management Admission Test[TM] (GMAT[TM]). The IntelliMetric system performance is first compared to that of individual human raters, a Bayesian system…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Essays
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