The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

As students read expository text, comprehension is improved by pausing to answer
questions that reinforce the material. We describe an automatic question generator that uses …

Multiple-choice question (MCQ) plays a significant role in educational assessment.
Automatic MCQ generation has been an active research area for years, and many systems …

We present a novel rule-based system for automatic generation of factual questions from
sentences, using semantic role labeling (SRL) as the main form of text analysis. The system …

Reading is a crucial skill in the 21st century. Thus, scaffolding text comprehension by
automatically generated questions may greatly profit learners. Yet, the state-of-the-art …

Question generation (QG) is a natural language processing task with an abundance of
potential benefits and use cases in the educational domain. In order for this potential to be …

The objective of this research is to use current linked open data (LOD) to generate questions
automatically to support history learning. This paper tries to clarify the potential of LOD as a …

Allowing learners to self-assess their knowledge through questions is a well-established
method to improve learning. However, many educational texts lack a sufficient amount of …

Questioning has been shown to improve learning outcomes, and automatic question
generation can greatly facilitate the inclusion of questions in learning technologies such as …

Text-based question generation generates related questions from a given sentence or
paragraph. In recent years, sequence-to-sequence neural network model has been used to …