Question-answer pair templates based on bloom’s revised taxonomy

Information Technology and Communication has altered the paradigm of Teaching and Learning Process into a process that is not limited by the problem of distance, time and method. This could be possible by means of the use of electronic learning system used as a media in teaching and learning activity. However, the utilization of Information and Communication Technology works, confirmed only as disseminator of teaching materials, so that we need to increase the performance of learning level. One of the ways is by doing the learning exercise to easily understand the teaching materials. This study is conducted with an aim to identify and classify the Expected Type Answer and question answer pairs templates based upon Bloom's Revised Taxonomy at the level of knowledge acquisition and knowledge deepening, and this study is part of automatic question-answer system development. The research method used a descriptive approach to collect 1.354 training data from 10 documents of teaching materials from electronic books published by the Ministry of Education and Culture, Indonesia Republic. This research resulted in the parameter of Expected Type Answer for Question Answer System based on Blooms Revised Taxonomy and 109 question answer pair templates based on Blooms Revised Taxonomy. The result of this research becomes one of solutions to build the electronic learning sustainability.