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Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
Shoeb Saleh; Abdullah Ibrahim Alsubhi – Language Testing in Asia, 2025
This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…
Descriptors: Self Esteem, Writing Skills, Artificial Intelligence, English (Second Language)
Sari, Elif; Han, Turgay – Reading Matrix: An International Online Journal, 2021
Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures,…
Descriptors: Automation, Writing Evaluation, Artificial Intelligence, Natural Language Processing
Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine; Litman, Diane; Rahimi, Zahra; Kisa, Zahid – Reading Research Quarterly, 2020
Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Scoring
Yue Huang – ProQuest LLC, 2023
Automated writing evaluation (AWE) is a cutting-edge technology-based intervention designed to help teachers meet their challenges in writing classrooms and improve students' writing proficiency. The fast development of AWE systems, along with the encouragement of technology use in the U.S. K-12 education system by the Common Core State Standards…
Descriptors: Computer Assisted Testing, Writing Tests, Automation, Writing Evaluation
Nazerian, Samaneh; Abbasian, Gholam-Reza; Mohseni, Ahmad – Cogent Education, 2021
Despite growing interest in the studies on Zone of Proximal Development (ZPD), its operation in the forms of individualized and group-wide has been controversial. To cast some empirical light on the issue, this study was designed to study the applicability of the two scenarios of ZPD-based instructions to the writing accuracy of two levels of…
Descriptors: Sociocultural Patterns, Second Language Learning, Second Language Instruction, English (Second Language)
Learners' Attitudes toward Using Dynamic Assessment in Teaching and Assessing IELTS Writing Task One
Babamoradi, Parvin; Nasiri, Mahdi; Mohammadi, Elham – International Journal of Language Testing, 2018
Regarding the importance and complexity of writing among the EFL language learners, this study explored the learners' attitudes toward teaching and testing writing through Computerized Dynamic Assessment (CDA). The participants of this study were 22 Iranian upper-intermediate EFL learners. All the participants were adults and participated in this…
Descriptors: Foreign Countries, Student Attitudes, Alternative Assessment, English (Second Language)
Llosa, Lorena; Malone, Margaret E. – Language Testing, 2019
Investigating the comparability of students' performance on TOEFL writing tasks and actual academic writing tasks is essential to provide backing for the extrapolation inference in the TOEFL validity argument (Chapelle, Enright, & Jamieson, 2008). This study compared 103 international non-native-English-speaking undergraduate students'…
Descriptors: Computer Assisted Testing, Language Tests, English (Second Language), Second Language Learning
Burstein, Jill; Elliot, Norbert; Molloy, Hillary – CALICO Journal, 2016
Genre serves as a useful lens to investigate the range of evidence derived from automated writing evaluation (AWE). To support construct-relevant systems used for writing instruction and assessment, two investigations were conducted that focused on postsecondary writing requirements and faculty perceptions of student writing proficiency. Survey…
Descriptors: College Students, Writing Evaluation, Computer Assisted Testing, Writing Tests
Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns
Harris, Connie – ProQuest LLC, 2013
Despite the efforts of a number of national organizations focused on improving writing literacy, there has been little improvement in student writing skills over the past decade to keep pace with the growing demands of the workplace. Based on constructivist learning theory and the belief that students become better writers through continuous…
Descriptors: Middle School Students, Grade 8, Writing Instruction, Writing Evaluation
McCurry, Doug – Assessing Writing, 2010
This article considers the claim that machine scoring of writing test responses agrees with human readers as much as humans agree with other humans. These claims about the reliability of machine scoring of writing are usually based on specific and constrained writing tasks, and there is reason for asking whether machine scoring of writing requires…
Descriptors: Writing Tests, Scoring, Interrater Reliability, Computer Assisted Testing
Neal, Michael – Teachers College Press, 2010
Writing and the teaching of writing is changing at a rapid pace. How can educators understand writing assessment "as" and "with" technology in the 21st-century classroom? Michael Neal contends that new technologies are neither the problem nor the solution. Instead, educators need to tap into digital resources only inasmuch as they promote writing…
Descriptors: Writing Evaluation, Holistic Evaluation, Writing Tests, Educational Technology
Glew, David; Meyer, Tracy; Sawyer, Becky; Schuhmann, Pete; Wray, Barry – Journal of Effective Teaching, 2011
Business schools are often criticized for the inadequate writing skills of their graduates. Improving writing skills involves first understanding the current skill level of students. This research attempts to provide insights into the effectiveness of the current method of assessing writing skills in a school of business at a large regional…
Descriptors: Undergraduate Students, Business Administration Education, Business Schools, Writing Skills
Wang, Jinhao; Brown, Michelle Stallone – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2008
The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES performance and human raters' performance.…
Descriptors: Scoring, Essays, Computer Assisted Testing, Sentence Structure
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