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Showing 1 to 4 of 4 for “"automatic question generation"”.

  1. A competency model for semi-automatic question generation in adaptive assessment

    … a system to demonstrate adaptive assessment and automatic generation of questions from a competency model, based on a sound pedagogical and<br/>technological approach. The system’s design and implementation involves an ontological database that represents the intended learning outcome to be …

    soton Repository record for A competency model for semi-automatic question generation in adaptive assessment (opens in a new tab)

  2. Scaling Automatic Question Generation to Large Documents: A Concept-Driven Approach

    Assessing and enhancing human learning through question-answering is vital, especially when dealing with large documents, yet automating this process remains challenging. While large language models (LLMs) excel at summarization and answering queries, their ability to generate meaningful questions …

    mit Repository record for Scaling Automatic Question Generation to Large Documents: A Concept-Driven Approach (opens in a new tab)

  3. Toward automatic generation of multiple-choice questions in an educational context

    … textbooks often include thought-provoking questions at the beginning or at the end of a piece of text. These questions help readers to self-evaluate their comprehension of the text, and to reinforce their knowledge. The Internet has given people access to much more information than ever …

    uiuc Repository record for Toward automatic generation of multiple-choice questions in an educational context (opens in a new tab)

  4. QG-Net: A Data-Driven Question Generation Model for Educational Content

    … to manually generate sufficient practice or quiz questions to accompany it. This thesis introduces QG-Net, a recurrent neural network-based model specifically designed for automatically generating quiz questions from educational content such as textbooks. QG-Net, when trained on a publicly …

    rice Repository record for QG-Net: A Data-Driven Question Generation Model for Educational Content (opens in a new tab)