Purpose: This study aimed to develop and test a measure of real-time continuous speech understanding to be used with natural dialogues. Method: The measure was based on a category monitoring paradigm and employed five existing recordings of natural dialogues from which the different test categories and associated target words were derived. For…

The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…

We often use pronouns like it or they without explicitly mentioned antecedents. We asked whether the human processing system that resolves such indirect pronouns uses the immediate visual-sensory context in multimodal discourse. Our results showed that people had no difficulty understanding conceptually central referents, whether explicitly…

In this paper I compare and contrast two educational paradigms that both attempt to overcome alienation often experienced by students in the conventional education. These two educational paradigms are embodied in different educational practices: First, Drama in Education in its widest definition, is based on the Vygotskian views that human…

Post-problem reflective tutorial dialogues between human tutors and students are examined to predict when the tutor changed the level of abstraction from the student's preceding turn (i.e., used more general terms or more specific terms); such changes correlate with learning. Prior work examined lexical changes in abstraction. In this work, we…

This paper introduces a Dialog-Based Computer-Assisted second-Language Learning (DB-CALL) system using semantic and grammar correctness evaluations and the results of its experiment. While the system dialogues with English learners about a given topic, it automatically evaluates the grammar and content properness of their English utterances, then…

We explored the possibility of predicting student emotions (boredom, flow/engagement, confusion, and frustration) by analyzing the text of student and tutor dialogues during interactions with an Intelligent Tutoring System (ITS) with conversational dialogues. After completing a learning session with the tutor, student emotions were judged by the…