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On-Soon Lee – Journal of Pan-Pacific Association of Applied Linguistics, 2024
Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Nikolic, Sasha; Daniel, Scott; Haque, Rezwanul; Belkina, Marina; Hassan, Ghulam M.; Grundy, Sarah; Lyden, Sarah; Neal, Peter; Sandison, Caz – European Journal of Engineering Education, 2023
ChatGPT, a sophisticated online chatbot, sent shockwaves through many sectors once reports filtered through that it could pass exams. In higher education, it has raised many questions about the authenticity of assessment and challenges in detecting plagiarism. Amongst the resulting frenetic hubbub, hints of potential opportunities in how ChatGPT…
Descriptors: Artificial Intelligence, Performance Based Assessment, Engineering Education, Integrity
Patronis, Marielle; Ishtaiwa-Dweikat, Fawzi Fayez; Al Awad, Mouawiya; Aburezeq, Ibtehal M. – International Journal of Information and Communication Technology Education, 2019
The key aim of this study is to provide an overview of students' and instructors' attitudes and perceptions towards the potential benefits and challenges of summative e-assessment for their writing courses at a UAE university. A mixed method of quantitative and qualitative analysis is used. The findings of the study revealed that a majority of…
Descriptors: Foreign Countries, Summative Evaluation, Student Attitudes, Teacher Attitudes
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Uhl, Juli D.; Sripathi, Kamali N.; Meir, Eli; Merrill, John; Urban-Lurain, Mark; Haudek, Kevin C. – CBE - Life Sciences Education, 2021
The focus of biology education has shifted from memorization to conceptual understanding of core biological concepts such as matter and energy relationships. To examine undergraduate learning about matter and energy, we incorporated constructed-response (CR) questions into an interactive computer-based tutorial. The objective of this tutorial is…
Descriptors: Computer Assisted Testing, Writing Evaluation, Science Education, Biology
Aitken, Adam; Thompson, Darrall G. – International Journal of Technology and Design Education, 2018
First year undergraduate design students have found difficulties in realising the standards expected for academic writing at university level. An assessment initiative was used to engage students with criteria and standards for a core interdisciplinary design subject notable for its demanding assessment of academic writing. The same graduate…
Descriptors: Undergraduate Students, Design, Assignments, Computer Software
Feifei Han; Zehua Wang – OTESSA Conference Proceedings, 2021
This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…
Descriptors: Comparative Analysis, Feedback (Response), English (Second Language), Second Language Instruction
Merzifonluoglu, Ayse; Tulgar, Aysegül Takkac – Reading Matrix: An International Online Journal, 2022
The popularity of technology use in various aspects of individuals' lives has necessitated integrating some form of technologies into language education to have a more effective teaching and learning process. Considering basic and sub-skills in English, vocabulary is probably the most preferred skill to learn by using different technological tools…
Descriptors: Vocabulary Development, Achievement Tests, Creative Writing, Writing Assignments
Knight, Simon; Buckingham Shum, Simon; Ryan, Philippa; Sándor, Ágnes; Wang, Xiaolong – International Journal of Artificial Intelligence in Education, 2018
Research into the teaching and assessment of student writing shows that many students find academic writing a challenge to learn, with legal writing no exception. Improving the availability and quality of timely formative feedback is an important aim. However, the time-consuming nature of assessing writing makes it impractical for instructors to…
Descriptors: Writing Evaluation, Natural Language Processing, Legal Education (Professions), Undergraduate Students
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2019
This study investigates the impact on extemporaneous English-language first drafts by using Google Translate (GT) in three different tasks assigned to Chinese sophomore, junior, and senior students of English as a Foreign Language (EFL) majoring in English. Students wrote first in Chinese (Step 1), then drafted corresponding texts in English (Step…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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
Chapelle, Carol A.; Cotos, Elena; Lee, Jooyoung – Language Testing, 2015
Two examples demonstrate an argument-based approach to validation of diagnostic assessment using automated writing evaluation (AWE). "Criterion"®, was developed by Educational Testing Service to analyze students' papers grammatically, providing sentence-level error feedback. An interpretive argument was developed for its use as part of…
Descriptors: Diagnostic Tests, Writing Evaluation, Automation, Test Validity
Liu, Sha; Kunnan, Antony John – CALICO Journal, 2016
This study investigated the application of "WriteToLearn" on Chinese undergraduate English majors' essays in terms of its scoring ability and the accuracy of its error feedback. Participants were 163 second-year English majors from a university located in Sichuan province who wrote 326 essays from two writing prompts. Each paper was…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Bai, Lifang; Hu, Guangwei – Educational Psychology, 2017
Automated writing evaluation (AWE) systems can provide immediate computer-generated quantitative assessments and qualitative diagnostic feedback on an enormous number of submitted essays. However, limited research attention has been paid to locally designed AWE systems used in English as a foreign language (EFL) classroom contexts. This study…
Descriptors: Computer Assisted Testing, Writing Evaluation, Automation, Essay Tests
Zou, Xiao-Ling; Chen, Yan-Min – Technology, Pedagogy and Education, 2016
The effects of computer and paper test media on EFL test-takers with different computer familiarity in writing scores and in the cognitive writing process have been comprehensively explored from the learners' aspect as well as on the basis of related theories and practice. The results indicate significant differences in test scores among the…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Test Format
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