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Direct linkMike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
Mads Paludan Goddiksen; Mikkel Willum Johansen; Anna Catharina Vieira Armond; Mateja Centa; Christine Clavien; Eugenijus Gefenas; Nóra Kovács; Marcus Tang Merit; I. Anna S. Olsson; Margarita Poškute; Júlio Borlido Santos; Rita Santos; Vojko Strahovnik; Orsolya Varga; P. J. Wall; Peter Sandøe; Thomas Bøker Lund – International Journal for Educational Integrity, 2024
Text-matching software (TMS) is a standard part of efforts to prevent and detect plagiarism in upper secondary and higher education. While there are many studies on the potential benefits of using this technology, few studies look into potential unintended side effects. These side effects include students worrying about being accused of plagiarism…
Descriptors: Computer Software, Secondary School Students, Bachelors Degrees, Undergraduate Students
Download full textMcCarron, Elizabeth; Frydenberg, Mark – Information Systems Education Journal, 2023
Students today are often assumed to be digitally literate and prepared for college, but that is not always the case. Introductory technology courses at the college level provide students with the technology and digital skills necessary for them to succeed in college. This study, conducted at a small New England "business school" that…
Descriptors: College Freshmen, Technological Literacy, Educational Technology, Business Schools
Ohood Swar; Mohammed Mohsen – Interactive Learning Environments, 2023
Over the past few years, many studies have examined the cognitive processes of students when translating texts from one language to another. However, little is known about the cognitive processes of Arab translators when translating texts from their heritage language into English. This study aims to track the cognitive processes of students as…
Descriptors: Language Processing, Psycholinguistics, Native Language, Second Language Learning
Behrens, Susan J.; Gomez, Ailyn; Krimgold, Jessica – Research & Teaching in Developmental Education, 2019
Failure to adhere to conventional spelling has academic consequences. When encountering spelling errors, instructors can pass critical judgment on students' writing skills, and even on cognitive abilities. Many students turn to spell checkers. However, we find grading rubrics for academic writing assignments to be inconsistent, and judgments about…
Descriptors: Spelling, Scoring Rubrics, Word Processing, Writing Assignments
Huiyu Zhang; Linda Fang – Educational Media International, 2023
In Temasek Polytechnic, Singapore, several AI chatbots acting as digital teaching assistants were trialed between July 2021 and August 2022. As these were developed for different purposes, it is important to learn if these AI chatbots help achieve the desired learning outcomes. This paper focuses on lessons learnt from three chatbots designed for…
Descriptors: Foreign Countries, Artificial Intelligence, Asynchronous Communication, Teaching Assistants
Johnson, William F.; Stellmack, Mark A.; Barthel, Abigail L. – Teaching of Psychology, 2019
Electronic feedback given via word-processing software (e.g., track changes in Microsoft Word) allows for a simple way to provide feedback to students during the drafting process. Research has mostly focused on student attitudes toward electronic feedback, with little investigation of how feedback format might affect the quality of instructor…
Descriptors: Feedback (Response), Writing Evaluation, Writing Assignments, Educational Technology
Ching, Kory Lawson – Written Communication, 2018
This study examines the experiences and perceptions of writers who composed text using "distraction-free" writing tools that stand as alternatives to standard word processing programs. The purpose of this research was to develop a clearer understanding of how digital writing tools may shape the activities and practices of writers, as…
Descriptors: Writing (Composition), Writing Processes, Writing Instruction, Word Processing
Lerma-Noriega, Claudia-A.; Flores-Palacios, María-L.; Rebolledo-Méndez, Genaro – Comunicar: Media Education Research Journal, 2020
InContext is a custom-designed mobile application for writing assignments intended for university students in journalism and research methodology courses. In these disciplines, it has been observed that there is a need for an educational and technological tool to guide the writing of text using preloaded templates in which students can input text…
Descriptors: Handheld Devices, Computer Software, Learning Strategies, Educational Technology
Quinlan, James; Tennenhouse, Craig – PRIMUS, 2016
Too often our students submit incomplete homework that is disorganized, unclear, and nonlinear. Typesetting with LATEX, although time consuming for those new to the software, strengthens communication by forcing organization and proper notation required by the precise, formal language of mathematics. In this manuscript we report on a study of 42…
Descriptors: Undergraduate Study, College Mathematics, Homework, Algebra
Van Der Steen, Steffie; Samuelson, Dianne; Thomson, Jennifer M. – Written Communication, 2017
This study addresses the current debate about the beneficial effects of text processing software on students with different working memory (WM) during the process of academic writing, especially with regard to the ability to display higher-level conceptual thinking. A total of 54 graduate students (15 male, 39 female) wrote one essay by hand and…
Descriptors: Word Processing, Keyboarding (Data Entry), Writing (Composition), Educational Benefits
Cannoy, Sherrie Drye – Journal of Applied Research for Business Instruction, 2015
Integrating interdisciplinary social studies topics and social responsibility concepts into a business education class can be meaningful for student learning. The discipline of social studies includes multiple areas such as economics, history, sociology, and anthropology. Social responsibility in a business sense means that companies are concerned…
Descriptors: Social Responsibility, Social Studies, Business Administration Education, Computer Science Education
Sumande, Caroline T.; Castolo, Carmencita L.; Comendador, Benilda Eleanor V. – Turkish Online Journal of Distance Education, 2016
The study addressed two questions: what is the ICT level of confidence of the course specialists handling Open University classes, and to what extent do course specialists integrated ICT applications such as word processing, electronic spread sheet, presentation software, YouTube and etc. in their OUS classes? The instruments were administered to…
Descriptors: Foreign Countries, Information Technology, Self Esteem, Specialists
AbuSeileek, A. F. – Journal of Computer Assisted Learning, 2013
This study investigated the effect of computer-mediated corrective feedback types in an English as a foreign language (EFL) intact class over time. The participants were 64 English majors who were assigned randomly into three treatment conditions that gave and received computer-mediated corrective feedback while writing (track changes, word…
Descriptors: Computer Software, Error Correction, Feedback (Response), English (Second Language)
Dishaw, Mark T.; Eierman, Michael A.; Iversen, Jacob H.; Philip, George – Journal of Information Technology Education: Research, 2013
As collaboration among teams that are distributed in time and space is becoming increasingly important, there is a need to understand the efficacy of tools available to support that collaboration. This study employs a combination of the Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model to compare four different technologies…
Descriptors: Cooperation, Collaborative Writing, Electronic Publishing, Word Processing
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