Question answering (QA) is a fundamental means to facilitate assessment and training of
narrative comprehension skills for both machines and young children, yet there is scarcity of …

Narrative understanding involves capturing the author's cognitive processes, providing
insights into their knowledge, intentions, beliefs, and desires. Although large language …

Existing question answering (QA) techniques are created mainly to answer questions asked
by humans. But in educational applications, teachers often need to decide what questions …

Adaptive learning aims to provide customized educational activities (eg, exercises) to
address individual learning needs. However, manual construction and delivery of such …

Human-annotated labels and explanations are critical for training explainable NLP models.
However, unlike human-annotated labels whose quality is easier to calibrate (eg, with a …

Storytelling's captivating potential makes it a fascinating research area, with implications for
entertainment, education, therapy, and cognitive studies. In this paper, we propose Affective …

Social biases and stereotypes are embedded in our culture in part through their presence in
our stories, as evidenced by the rich history of humanities and social science literature …

Interactive storytelling is vital for preschooler development. While children's interactive
partners have traditionally been their parents and teachers, recent advances in artificial …

In the field of education, for better assessment of students' abilities, generated questions
often need to meet experts' requirements, indicating the need for controllable question …

We present $\textbf {$\texttt {SkillQG} $} $: a question generation framework with controllable
comprehension types for assessing and improving machine reading comprehension …