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Automated Feedback for Writing Literature Reviews

January 31st, 2022

The goal of this work is to use the open-source framework ReaderBench, which is already connected to our cluster, in the context of seminar papers. The work is intended to extend our chatbot solution and convey the feedback to the end-user in an understandable way.

Thesis Type
  • Bachelor
Student
Corneliu Pasa
Status
Cancelled
Proposal on
12/07/2022 1:00 pm
Proposal room
Seminar room I5 6202
Supervisor(s)
Ralf Klamma
Advisor(s)
Alexander Neumann
Contact
neumann@dbis.rwth-aachen.de
In our effort to support heterogeneous communities with the necessary tools and structures, we have developed our flagship peer-to-peer community platform las2peer. In doing so, we have developed several tools that feed learner data to various analytics and mentoring tools to create the necessary information to support mentors and mentees. In previous work, we expanded the repertoire to include Readerbench to support writing tasks.
To further extend this process and provide even more insights for the above stakeholders, we would now like to use Readerbench to support literature reviews.
The goal of this work is to integrate ReaderBench into the process of seminar papers of our chair. Therefore, this work will investigate related work in the areas of text mining, natural language processing, and educational data mining. The developed extension will be integrated into the existing infrastructure and provide advanced feedback to students to help them understand their work.
If you are interested in this work, please do not hesitate to send a message to neumann@dbis.rwth-aachen.de.

Prerequisites:

Nice to have:

  • Web Technologies
  • Java