Work in Progress - an approach for mapping of auto generated questions to related topics in the curriculum

摘要

Questions are essential components for assessment of learners' knowledge in teaching - learning environments. The questions should be developed related to tasks of the instructional objectives associated with a learning object. It is expected that a given set of question will cover maximum possible topics under an instructional objective. By analyzing the response to these questions, instructors are able to identify the strong and weak areas of a learner, and are able to understand the deficiency in learning and provide solution for overcoming it. However if the system generates automated questions, a given set of questions may or may not cover all the topics given in the learning object. To identify the amount of topic that is covered under a given set of question, we first use phrase mining technique and then do topic modeling on text data of the given set of questions. By mining the words present the phrases of the individual question stem, we can identify the keywords, calculate its significance value and identify the most appropriate topic it relates to.