Abstract: Academic writing, individual or collaborative, is an essential skill for today’s graduates. Unfortunately, managing writing activities and providing feedback to students is very labour intensive and academics often opt out of including such learning experiences in their teaching. We describe the architecture for a new collaborative writing support environment used to embed such collaborative learning activities in engineering courses. In this paper provides tools for managing collaborative and individual writing assignments in large cohorts. It outsources the writing tools and the storage of student content to third party cloud-computing vendors (i.e. Google). We further describe how using machine learning and NLP techniques, the architecture provides automated feedback, automatic question generation and process analysis features.
Keywords: Collaborative learning tools, Homework support systems, Intelligent tutoring systems, Peer reviewing
Title: Implementation of Automatic Taxanomy Tools to Improve Research Practice
Author: A.Padmini, Dr.R.Indra Gandhi
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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