Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dan Leyzberg"'
Publikováno v:
ACM Transactions on Human-Robot Interaction. 7:1-19
The benefits of personalized social robots must be evaluated in real-world educational contexts over periods of time longer than a single session to understand their full potential to impact learning outcomes. In this work, we describe a personalizat
Publikováno v:
ITiCSE
Where would we be without them? Teaching assistants (TAs) make it possible for us to deliver high-quality large-scale computer science courses with relatively few faculty. Though their responsibilities vary by institution, TAs often play a crucial ro
Autor:
C. Moretti, Dan Leyzberg
Publikováno v:
SIGCSE
Two-thirds of all computer science teachers in the United States do not have a degree in computer science. As demand for K-12 computer science education continues to grow, and as industry continues to lure computer science graduates away from careers
Autor:
Lauren D. Berkovits, Rhea Paul, Frederick Shic, Emily P. Bernier, Dan Leyzberg, Elizabeth S. Kim, Brian Scassellati
Publikováno v:
Journal of Autism and Developmental Disorders. 43:1038-1049
In this study we examined the social behaviors of 4- to 12-year-old children with autism spectrum disorders (ASD; N = 24) during three tradic interactions with an adult confederate and an interaction partner, where the interaction partner varied rand
Publikováno v:
HRI
In education research, there is a widely-cited result called “Bloom’s two sigma” that characterizes the differences in learning outcomes between students who receive one-on-one tutoring and those who receive traditional classroom instruction [1
Publikováno v:
HRI
Does the emotional content of a robot's speech affect how people teach it? In this experiment, participants were asked to demonstrate several "dances" for a robot to learn. Participants moved their bodies in response to instructions displayed on a sc
Publikováno v:
HRI
We examine affective vocalizations provided by human teachers to robotic learners. In unscripted one-on-one interactions, participants provided vocal input to a robotic dinosaur as the robot selected toy buildings to knock down. We find that (1) peop