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Nina Vandermeulen; Elke Van Steendam; Sven De Maeyer; Marije Lesterhuis; Gert Rijlaarsdam – Reading and Writing: An Interdisciplinary Journal, 2024
Writing a synthesis text involves interacting reading and writing processes, serving the comprehension of source information, and its integration into a reader-friendly and accurate synthesis text. Mastering these processes requires insight into process' orchestrations. A way of achieving this is via process feedback in which students compare…
Descriptors: Feedback (Response), Observation, Writing Processes, Models
Astrid N. Zamora; Ella August; Olivia S. Anderson – Educational Technology Research and Development, 2025
This pilot study aimed to evaluate the development of writing skills among Master of Public Health (MPH) students after completing a public health writing assignment designed with a transparent framework. The assignment incorporated Lettersmith, a free educational technology tool that supports metacognition and the writing process. A secondary aim…
Descriptors: Masters Programs, Graduate Students, Writing (Composition), Writing Skills
Heather Johnston; Maria Eaton; Isabel Henry; Eva-Marie Deeley; Bryony N. Parsons – Journal of Learning Development in Higher Education, 2025
The aim of this project was to identify ways in which students are using Generative Artificial Intelligence (GAI) technologies for the planning and researching stage of essay style assignments. The study recruited 30 students from various subject areas and levels of study and with different self-reported levels of confidence in using GAI tools.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing (Composition), Academic Language
Guy J. Krueger – Thresholds in Education, 2025
Generative AI has become a quotidian discussion topic in many writing departments, and the conversations often focus on the negative aspects or the disruptions it has caused. A growing number of teachers and scholars, though, have embraced the new technology and welcomed it into their classrooms. In the Spring 2024 semester, students in my…
Descriptors: Writing Instruction, Artificial Intelligence, Computer Software, Technology Integration
Lisa Haake; Sebastian Wallot; Monika Tschense; Joachim Grabowski – Reading and Writing: An Interdisciplinary Journal, 2024
Recurrence quantification analysis (RQA) is a time-series analysis method that uses autocorrelation properties of typing data to detect regularities within the writing process. The following paper first gives a detailed introduction to RQA and its application to time series data. We then apply RQA to keystroke logging data of first and foreign…
Descriptors: Writing (Composition), Keyboarding (Data Entry), Word Processing, Writing Processes
Andrew Runge; Sarah Goodwin; Yigal Attali; Mya Poe; Phoebe Mulcaire; Kai-Ling Lo; Geoffrey T. LaFlair – Language Testing, 2025
A longstanding criticism of traditional high-stakes writing assessments is their use of static prompts in which test takers compose a single text in response to a prompt. These static prompts do not allow measurement of the writing process. This paper describes the development and validation of an innovative interactive writing task. After the…
Descriptors: Material Development, Writing Evaluation, Writing Assignments, Writing Skills
R. Yohanes Radjaban; Eko Setyo Humanika – English Language Teaching Educational Journal, 2024
Problems in developing writing often comes from creative processes in developing ideas to write. Outlines are often recommended as a tool to help students organize their thoughts and structure their writing. This study aims to find out students' perceptions and the challenges the students encountered when writing an exposition text using provided…
Descriptors: Student Attitudes, Writing Attitudes, Writing Assignments, Expository Writing
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Hangyan Lu; Zhi Yeng Alicia Ha – Critical Inquiry in Language Studies, 2025
Drawing on an academic literacies approach to understand writing as a social practice, this paper explores the experiences of how undergraduate students make sense of and engage with English academic writing conventions in relation to their writing purposes. We traced the writing process of 12 undergraduate students in Hong Kong over the course of…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Second Language Instruction
Qianqian Zhang-Wu; Alison Stephens; Neal Lerner – Composition Studies, 2023
Our research explores the meaningful writing experiences of 325 undergraduate students who self-identify as multilingual. Through qualitative coding of open-ended survey data, we found that respondents considered their writing meaningful when it allowed them to make personal and relevant connections and learn new skills and strategies. Our…
Descriptors: Undergraduate Students, Multilingualism, Writing Instruction, Writing Assignments
Jessica Cail – Teaching of Psychology, 2025
Background: Rapid changes brought on by generative artificial intelligence (AI) have emphasized the need to teach students to work with this technology while also developing the "robot proof" human skills future workers will need, such as creativity, communication, and critical thinking. Objective: The study objective was to explore…
Descriptors: Psychology, Accuracy, Artificial Intelligence, Technology Integration
Holdinga, Lieke; Janssen, Tanja; Rijlaarsdam, Gert – Written Communication, 2021
Source-based writing is a common but difficult task in history and philosophy. Students are usually taught how to write a good text in language classes. However, it is also important to address discipline-specificity in writing, a topic likely to be taught by content teachers. In order to design discipline-specific writing instruction, research…
Descriptors: Writing Processes, Writing Skills, Grade 11, History Instruction
Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
Luzhen Tang; Kejie Shen; Huixiao Le; Yuan Shen; Shufang Tan; Yueying Zhao; Torsten Juelich; Xinyu Li; Dragan Gaševic; Yizhou Fan – Journal of Computer Assisted Learning, 2024
Background: Learners' writing skills are critical to their academic and professional development. Previous studies have shown that learners' self-assessment during writing is essential for assessing their writing products and monitoring their writing processes. However, conducting practical self-assessments of writing remains challenging for…
Descriptors: Self Evaluation (Individuals), Formative Evaluation, Writing Assignments, Writing Skills
Student Experiences with Peer Review and Revision for Writing-to-Learn in a Chemistry Course Context
Solaire A. Finkenstaedt-Quinn; Safron L. Milne; Michael N. Petterson; Jasen Chen; Ginger V. Shultz – Written Communication, 2024
Peer review is useful for providing students with formative feedback, yet it is used less frequently in STEM classrooms and for supporting writing-to-learn (WTL). While research indicates the benefits of incorporating peer review into classrooms, less research is focused on students' perceptions thereof. Such research is important as it speaks to…
Descriptors: Peer Evaluation, Formative Evaluation, Feedback (Response), STEM Education

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