Intelligent Thesis Assistance System Explained
The dissertation generation module of Universal Xiaoin realizes the full process coverage of academic writing. The system's built-in discipline tree contains a selection library of 12 major disciplines and 92 first-level disciplines, and users only need to select the research level (undergraduate/master's/doctoral) to get a framework proposal that meets academic specifications. Its core technology lies in the following: the literature review generator based on Transformer architecture can automatically summarize the core ideas of 200+ Chinese and foreign literature; the methodology recommendation system can intelligently match quantitative/qualitative research methods according to the research topic; and the checking and optimization algorithm can reduce the text similarity to less than 15% through the replacement of synonyms and the restructuring of sentences.
Use cases show that after master's degree students in history use this function, the time for literature combing is shortened from an average of 40 hours to 3 hours; undergraduate dissertations in management are analyzed by the SPSS analysis template recommended by the system, and the efficiency of data processing is increased by 300%. The platform is especially equipped with the academic ethics detection function, which will automatically mark the citation format that may be controversial to prevent the risk of academic misconduct.
This answer comes from the articleUniversal Little in: an AI writing and learning assistant based on a knowledge baseThe
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