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Direct linkElizabeth A. Hirshorn; Emma Reilly; Alison Louche-Robert; Cody Wojszysnki – Journal of Research in Reading, 2024
Background: Recent research has documented individual differences in the reading profiles of skilled native English readers using a behavioural marker of holistic visual word processing (orientation sensitivity). A more holistic word reading profile is associated with a weaker correlation with phonological decoding for word identification.…
Descriptors: Word Processing, Sentence Structure, Holistic Approach, Phonology
Constructing Theoretically Informed Measures of Pause Duration in Experimentally Manipulated Writing
Sophie Hall; Veerle M. Baaijen; David Galbraith – Reading and Writing: An Interdisciplinary Journal, 2024
This paper argues that traditional threshold-based approaches to the analysis of pauses in writing fail to capture the complexity of the cognitive processes involved in text production. It proposes that, to capture these processes, pause analysis should focus on the transition times between linearly produced units of text. Following a review of…
Descriptors: Writing (Composition), Cognitive Processes, Writing Processes, College Students
Abraham E. Flanigan; Jordan Wheeler; Tiphaine Colliot; Junrong Lu; Kenneth A. Kiewra – Educational Psychology Review, 2024
Many college students prefer to type their lecture notes rather than write them by hand. As a result, the number of experimental and quasi-experimental studies comparing these two note-taking mediums has flourished over the past decade. The present meta-analytic research sought to uncover trends in the existing studies comparing achievement and…
Descriptors: Journal Articles, College Students, Notetaking, Handwriting
Download full textGirma Demissie; Dawit Amogne; Anegagregn Gashaw – Australian Journal of Applied Linguistics, 2025
This study investigated the impact of Google Docs on the academic writing improvement of English as a Foreign Language (EFL) learners. Conducted over a 13-week period during the 2022/23 academic year at an Ethiopian university, the research examined how this digital tool affects writing quality and student perceptions. Utilizing a sequential…
Descriptors: Technology Uses in Education, Academic Language, Writing (Composition), English (Second Language)
Mike 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
Abdullahi Yusuf; Nasrin Pervin; Marcos Román-González – International Journal of Educational Technology in Higher Education, 2024
In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence of generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication of GenAI tools has raised concerns about their potential to automate teaching and…
Descriptors: Artificial Intelligence, Educational Trends, Futures (of Society), Higher Education
Amy Canham; Marion Coumel; Juliana Manolova; Angela de Bruin – International Journal of Bilingual Education and Bilingualism, 2025
Bilingual students can take notes in their first language (L1) or their second language (L2). Higher note-taking quality, which might differ between the L1 and L2, has been associated with better memory of new content. In this study, we examined how language of note taking within bilinguals affects note quality and memory of new content. One…
Descriptors: Notetaking, English (Second Language), Memory, Video Technology
Laura Sperl; Clara Marie Breier; Eric Grießbach; Stefan R. Schweinberger – Higher Education Research and Development, 2024
In response to COVID-19, universities worldwide experienced drastic and sudden changes including the need to shift to online teaching and assessment. Following previous research suggesting that individual differences in typing skills could influence text quantity and quality, we investigated whether university students' typing speed is related to…
Descriptors: Office Occupations Education, College Freshmen, Skill Development, Online Courses
