• Waheeb Ahmed Kannur University, Kannur
  • Babu Anto Kannur University, Kannur
Keywords: Technology-Enhanced Learning, Question Answering Systems, e-Learning, Natural Language Processing, ICT in Education


An automatic web based Question Answering (QA) system is a valuable tool for improving e-learning and education. Several approaches employ natural language processing technology to understand questions given in natural language text, which is incomplete and error-prone. In addition, instead of extracting exact answer, many approaches simply return hyperlinks to documents containing the answers, which is inconvenient for the students or learners. In this paper we develop technique to detect the type of a question, based on which the proper technique for extracting the answer is used. The system returns only blocks or phrases of data containing the answer rather than full documents. Therefore, we can highly improve the efficiency of Web QA systems for e-learning.


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Author Biographies

Waheeb Ahmed, Kannur University, Kannur
Research Scholar, Ph.D. in Information Technology On-going, Student
Babu Anto, Kannur University, Kannur
Associate Professor, Ph.D. in Technology, Research Guide


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How to Cite
Ahmed, W., & Anto, B. (2017). AN AUTOMATIC WEB-BASED QUESTION ANSWERING SYSTEM FOR E-LEARNING. Information Technologies and Learning Tools, 58(2), 1-10.
ICT and learning tools in secondary education