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Showing 1 to 15 of 31 results Save | Export
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Michael D'Addario – Discover Education, 2025
With the proliferation of easy-to-use generative AI tools such as ChatGPT, students in college composition courses can and do take advantage of such technology to assist with essay writing. While a growing body of research does not see using these tools as a problem in itself, institutional, departmental, and instructor policies about generative…
Descriptors: Taxonomy, Language Usage, Artificial Intelligence, Computer Software
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Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
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Heather Johnston; Rebecca F. Wells; Elizabeth M. Shanks; Timothy Boey; Bryony N. Parsons – International Journal for Educational Integrity, 2024
The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted…
Descriptors: Artificial Intelligence, Higher Education, Student Attitudes, Universities
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Christian Tarchi; Ruth Villalón; Nina Vandermeulen; Lidia Casado-Ledesma; Anna Paola Fallaci – Reading and Writing: An Interdisciplinary Journal, 2024
In university settings, writing argumentative essays from reading conflicting source texts is a common task for students. In performing this synthesis task, they must deal with conflicting claims about a controversial issue as they develop their own positions. Argumentative synthesis is characterized by writers' back-and-forth moves between…
Descriptors: Writing Processes, Persuasive Discourse, Essays, Controversial Issues (Course Content)
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Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
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Woods-Groves, Suzanne; Rodgers, Derek B.; Balint-Langel, Kinga; Hinzman-Ferris, Michelle L. – Education and Training in Autism and Developmental Disabilities, 2022
We examined the efficacy of a combined electronic essay writing and editing mnemonic driven strategy with 24 college students in a two-year postsecondary program for students with developmental disabilities. We used a pre-posttest experimental design with random assignment to treatment/control groups. During 26 sessions each consisting of 50 min.,…
Descriptors: College Students, Students with Disabilities, Developmental Disabilities, Essay Tests
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Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students
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McCarthy, Philip M.; Kaddoura, Noor W.; Al-Harthy, Ayah; Thomas, Anuja M.; Duran, Nicholas D.; Ahmed, Khawlah – Pegem Journal of Education and Instruction, 2022
This study analyzes the linguistic features of counter-arguments and support arguments using two computational linguistic tools: Coh-Metrix and Gramulator. The research question investigates whether counter-argument paragraphs and support paragraphs are different in terms of their linguistic features. To conduct this study, a corpus of 78…
Descriptors: Computational Linguistics, Connected Discourse, Discourse Analysis, Readability
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Junifer Leal Bucol; Napattanissa Sangkawong – Innovations in Education and Teaching International, 2025
This research paper employs an exploratory framework to evaluate the potential of ChatGPT as an Automated Writing Evaluation (AWE) tool in teaching English as a Foreign Language (EFL) in Thailand. The main objective is to investigate how well ChatGPT can assess students' writing using prompts and pre-defined rubrics compared to human raters.…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English (Second Language)
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Lei, Jiun-Iung – English Language Teaching, 2020
While Automated Writing Evaluation (AWE) can perform an error diagnosis (Chen & Cheng, 2008), previous studies used to exclude it from the process of error analysis. This study aimed to examine the reactions of Grammarly Premium towards a group of night school students' English writings at a Taiwanese technical university. The participants of…
Descriptors: Writing Evaluation, Computer Software, Error Analysis (Language), Second Language Learning
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Ahmad, Samah Zakareya – International Education Studies, 2020
This study has devoted itself to examining the effect of using cloud-based collaborative writing on EFL students' writing quantity and quality. Twenty-one EFL students studying at Jubail College of Education, IAU University participated in the study. They were pretested in writing quantity and quality before the treatment then they practiced…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
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Medway, Dominic; Roper, Stuart; Gillooly, Leah – British Educational Research Journal, 2018
Contract cheating is currently a concern for universities and the higher education (HE) sector. It has been brought into the spotlight in recent years through the growth of online essay mills, where students can easily commission and purchase written assessment responses. This study contributes to the wider literature on academic integrity in HE…
Descriptors: Cheating, Contracts, College Students, Higher Education
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Wrigley, Stuart – Active Learning in Higher Education, 2019
This article discusses and challenges the increasing use of plagiarism detection services such as Turnitin and Grammarly by students, arguing that the increasingly online nature of composition is having a profound effect on student composition processes. This dependence on the Internet is leading to a strategy I term 'de-plagiarism', in which…
Descriptors: Plagiarism, Essays, Writing Processes, Computer Software
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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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Rashtchi, Mojgan; Porkar, Reza – Language Teaching Research Quarterly, 2020
Brainstorming, as a pre-writing activity, facilitates the process of generating ideas and helps organize learners' thoughts to get involved in writing activities. The present convergent mixed methods study investigated whether the integration of technology and brainstorming could affect the argumentative writing of EFL learners. Initially, 68…
Descriptors: Brainstorming, Writing Instruction, Essays, Technology Integration
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