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Learning to write in an online writing center: The effect of learning styles on the writing process
Affiliation:1. Unit of Oncological Gastroenterology, Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Via Franco Gallini, 2, Aviano 33081, Italy;2. Unit of Medical Oncology and Cancer Prevention, Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy;3. Department of Medicine (DAME), University of Udine, Udine, Italy;1. Department of Signal Processing and Acoustics, Aalto University P.O. Box 13000 00076 Aalto Finland;2. The Artificial Intelligence Laboratory, Vrije Universiteit Brussel Pleinlaan 2 1050 Brussels Belgium
Abstract:One of the main advantages of online learning materials is that they can be adapted for students with different learning styles. This article presents a study and a methodology to investigate whether students with different learning styles make use of the potential flexibility of online learning materials, i.c. in the context of an online writing center. The study aims to investigate the effect of learning styles on (a) the students' approach to the writing task (process), and (b) on the letters they write (product). Twenty students each completed a module on writing ‘bad newsletters designed for Business Communication courses. Their reading and writing processes were recorded. The letters were also graded to determine their quality. An effect of learning style was found: Active and Reflective writers approached the task differently, but only in the beginning of the process. In this early stage Reflective learners were more likely to focus on the theory section than Active learners. This suggests that writers with different learning styles tackle the learning materials in different ways, often in line with the preferences that characterize their learning styles. However, no effect of learning style on text quality was found.
Keywords:Writing center  Writing style  Learning style  Business communication  Keystroke logging
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