The question addressed in this paper is: If we present to a user an AI system that explains
how it works, how do we know whether the explanation works and the user has achieved a …

Generative learning involves actively making sense of to-be-learned information by mentally
reorganizing and integrating it with one's prior knowledge, thereby enabling learners to …

Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

The Power of Interest for Motivation and Engagement describes the benefits of interest for
people of all ages. Using case material as illustrations, the volume explains that interest can …

This article describes the ICAP framework that defines cognitive engagement activities on
the basis of students' overt behaviors and proposes that engagement behaviors can be …

ICAP is a theory of active learning that differentiates students' engagement based on their
behaviors. ICAP postulates that Interactive engagement, demonstrated by co‐generative …

Building on pragmatism, we advance an entrepreneur-as-scientist perspective and depict
entrepreneurs as engaging in causally inferential action by forming beliefs, testing these …

A freshly updated edition featuring research-based teaching techniques that faculty in any
discipline can easily implement Research into how we learn can help facilitate better student …

In recent years, science education researchers have increasingly studied the ways in which
students “make sense” of science. However, although researchers might all agree intuitively …

In this study, an augmented reality-based mobile learning system is proposed for conducting
inquiry-based learning activities. An experiment has been conducted to examine the …