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What Works Clearinghouse Rating
Direct linkErin Pacquetet – ProQuest LLC, 2024
This dissertation explores the relationship between language production processes and recorded typing behaviors among native speakers of English writing in their native language. Typing is quite prevalent in modern societies, as its use is becoming increasingly required in professional and personal settings but it remains largely understudied in…
Descriptors: English, Native Language, Writing (Composition), Word Processing
Peer reviewedMike 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 textWhite, Jason J. G. – Journal of Science Education for Students with Disabilities, 2022
In using software to write a scientific, technical, or other scholarly document, authors have essentially two options. They can either write it in a 'what you see is what you get' (WYSIWYG) editor such as a word processor, or write it in a text editor using a markup language such as HTML, LATEX, Markdown, or AsciiDoc. This paper gives an overview…
Descriptors: Computer Software, Writing (Composition), Technical Writing, Programming Languages
Alec Thomson – Community College Enterprise, 2024
Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new…
Descriptors: Artificial Intelligence, Information Technology, Position Papers, Educational Policy
Dennis Murphy Odo – Applied Linguistics, 2023
Texts used in L2 classrooms have traditionally been simplified manually, but recent technological advances allow us to investigate whether automatic text simplification (ATS) software can help L2 learners comprehend texts in second and foreign languages. Participants were divided into low and high L2 reading proficiency groups and assigned to read…
Descriptors: Automation, Computer Software, Second Language Learning, Reading Ability
Biyi Wen – ProQuest LLC, 2024
This dissertation is an inquiry into the history of Chinese computer-based word processing technologies from 1958 to 1997. My purpose in looking into the history is to answer, how the development and usage of word-processing technologies have contributed to knowledge production, by shaping the understanding of what information technologies can do.…
Descriptors: History, Chinese, Word Processing, Computer Software
Mayo Beltrán, Alba Mª; Fernández Sánchez, María Jesús; Montanero Fernández, Manuel; Martín Parejo, David – Practical Assessment, Research & Evaluation, 2022
This study compares the effects of two resources, a paper rubric (CR) or the comment bubbles from a word processor (CCB), to support peer co-evaluation of expository texts in primary education. A total of 57 students wrote a text which, after a peer co-evaluation process, was rewritten. To analyze the improvements in the texts, we used a rubric…
Descriptors: Scoring Rubrics, Evaluation Methods, Word Processing, Computer Software
McCarron, 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
Anouk ten Peze; Tanja Janssen; Gert Rijlaarsdam; Daphne van Weijen – Instructional Science: An International Journal of the Learning Sciences, 2024
To investigate whether a creative writing unit in upper secondary education would improve students' creative as well as argumentative text quality and to examine whether it would change students' writing behavior, we tested a creative writing unit based on encouraging writing in flow by using divergent thinking tasks. Four classes (Grade 10)…
Descriptors: Teaching Methods, Creative Writing, Writing Instruction, Grade 10
Lee, Hye Yeon; List, Alexandra – Journal of Computer Assisted Learning, 2019
This study examined strategies used across two modalities of information presentation. Students were presented with two sources on endangered species, either as two texts or two videos. Then, participants were asked to annotate the two sources either using the track changes function in Microsoft Word, for the text condition, or using the VideoAnt,…
Descriptors: Video Technology, Written Language, Documentation, Word Processing
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
Brown, Sally; Allmond, Alexandra – Reading Teacher, 2021
Composing is an essential part of literacy development in early childhood classrooms, and writing experiences are continually changing through advances in technology. Writing in a new language can be particularly challenging for emergent bilinguals as they navigate learning how to spell in English as part of the writing process. New pedagogical…
Descriptors: Writing Instruction, Teaching Methods, Writing (Composition), Computer Software
