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Chokoraia, Tamar – Quality in Higher Education, 2023
The Georgian educational system was not familiar with the concept of plagiarism during the Soviet era. The purpose of the article is to study whether the mechanisms for plagiarism prevention in Georgian higher education institutions have been improved as a result of the application of new authorisation standards and international practices; it…
Descriptors: Foreign Countries, Plagiarism, Prevention, Higher Education
Anastasia Tzirides; Gabriela Zapata; Patrick Bolger; Bill Cope; Mary Kalantzis; Duane Searsmith – International Journal on E-Learning, 2024
This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…
Descriptors: Artificial Intelligence, Computer Software, Learning Experience, Feedback (Response)
Christina Andrade; Amber Roshay – CATESOL Journal, 2023
Giving effective writing feedback can be a challenge for any English instructor. Teaching students how to provide peer feedback can be problematic as well. Both these challenges may seem even more apparent when teaching online during a pandemic. Using Google Docs for collaborative writing feedback is one effective method for addressing both these…
Descriptors: Computer Software, Collaborative Writing, English (Second Language), Second Language Learning
Dinneen, Cara – English Australia Journal, 2021
This article considers the challenges heralded by digital technology in relation to the management of academic integrity on high-stakes Direct Entry English Programs in Australia. Firstly, a number of the ways in which students are using digital tools to complete assignment writing are examined. Secondly, findings from a review of academic…
Descriptors: Phrase Structure, Integrity, Barriers, Information Technology
Huong, Pham Thi Thu; Phúc, Tr?n H?u – Journal of University Teaching and Learning Practice, 2023
The rapid development of high technology and the Internet has made online learning increasingly popular, especially in the last few years when the COVID-19 pandemic appeared and spread worldwide. However, implementing online English courses in the pre-COVID-19 period was not prevalent; and only a few courses utilized new technologies to teach the…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, COVID-19
Velliaris, Donna M.; Breen, Paul – Journal of International Students, 2016
In this paper, the authors explore a holistic three-stage framework currently used by the Eynesbury Institute of Business and Technology (EIBT), focused on academic staff identification and remediation processes for the prevention of (un)intentional student plagiarism. As a pre-university pathway provider--whose student body is 98%…
Descriptors: Academic Discourse, Integrity, Holistic Approach, Plagiarism
Crossman, Katie – International Journal of Bilingual Education and Bilingualism, 2018
This article reports on an English for academic purposes course designed following the tenets of content and language integrated learning (CLIL) to address the needs of language minority (LM) high school graduates entering Canadian universities. The language used in and required of post-secondary study is challenging for many LM students,…
Descriptors: Teaching Methods, Language of Instruction, Second Language Learning, Second Language Instruction
Bilbro, J.; Iluzada, C.; Clark, D. E. – Journal on Excellence in College Teaching, 2013
The authors compared student perceptions of audio and written feedback in order to assess what types of students may benefit from receiving audio feedback on their essays rather than written feedback. Many instructors previously have reported the advantages they see in audio feedback, but little quantitative research has been done on how the…
Descriptors: Higher Education, Essays, Writing (Composition), Writing Evaluation
Ware, Paige – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2011
A distinction must be made between "computer-generated scoring" and "computer-generated feedback". Computer-generated scoring refers to the provision of automated scores derived from mathematical models built on organizational, syntactic, and mechanical aspects of writing. In contrast, computer-generated feedback, the focus of this article, refers…
Descriptors: College Students, Writing Instruction, Writing Evaluation, Scoring
Burrows, Steven; Shortis, Mark – Australasian Journal of Educational Technology, 2011
Online marking and feedback systems are critical for providing timely and accurate feedback to students and maintaining the integrity of results in large class teaching. Previous investigations have involved much in-house development and more consideration is needed for deploying or customising off the shelf solutions. Furthermore, keeping up to…
Descriptors: Foreign Countries, Integrated Learning Systems, Feedback (Response), Evaluation Criteria
Smye, Randy – 1987
Computer software style and usage checkers can encourage students' recursive revision strategies. For example, HOMER is based on the revision pedagogy presented in Richard Lanham's "Revising Prose," while Grammatik II focuses on readability, passive voice, and possibly misused words or phrases. Writer's Workbench "Style" (a UNIX program) provides…
Descriptors: Computer Assisted Instruction, Computer Software, Computer Software Reviews, Feedback

MacLeod, Laura – Business Communication Quarterly, 1999
Describes two computer applications that can enhance peer review in business-communication classes: news groups and specialized communication client software. Suggests ways to integrate these applications into such a class, including providing guidelines and topics, training students directly in the computer applications, and allotting time to…
Descriptors: Business Communication, Computer Software, Higher Education, Peer Evaluation

Atkins, Thomas; Nelson, Gene – English Journal, 2001
Notes the problem of Net-based plagiarism in student papers. Describes a solution that turns the tables by using the Internet: TurnItIn.com, an Internet scanner that annotates/marks unattributed material in student papers and compiles a report for the teacher overnight. (SR)
Descriptors: Computer Software, Higher Education, Internet, Plagiarism
Starr, Douglas P. – Collegiate Microcomputer, 1991
Describes a method that writing instructors can use for evaluating and commenting on college students' composition papers that uses a stand-alone word processor. Software is discussed, the instructor's role is explained, methods of evaluation and marking papers are suggested, and electronic grading is described. (three references) (LRW)
Descriptors: Computer Software, Evaluation Methods, Grading, Higher Education
McCollum, Kelly – Chronicle of Higher Education, 1998
Developers of the Intelligent Essay Assessor claim that it saves time in evaluating college students' essays and improves the assessment. This and the growing number of other automated grading programs use the same technologies that make computer-based tutoring possible. Many academics remain skeptical of grading technologies, citing the…
Descriptors: Computer Assisted Testing, Computer Software, Computer Uses in Education, Essays