scispace - formally typeset
Proceedings ArticleDOI

"Oh dear stacy!": social interaction, elaboration, and learning with teachable agents

TLDR
Treating her as a partner, primarily through aligning oneself with Stacy using pronouns like you or the authors rather than she or it significantly correlates with student learning, as do playful face-threatening comments such as teasing, while elaborate explanations of Stacy's behavior in the third-person and formal tutoring statements reduce learning gains.
Abstract
Understanding how children perceive and interact with teachable agents (systems where children learn through teaching a synthetic character embedded in an intelligent tutoring system) can provide insight into the effects of so-cial interaction on learning with intelligent tutoring systems. We describe results from a think-aloud study where children were instructed to narrate their experience teaching Stacy, an agent who can learn to solve linear equations with the student's help. We found treating her as a partner, primarily through aligning oneself with Stacy using pronouns like you or we rather than she or it significantly correlates with student learning, as do playful face-threatening comments such as teasing, while elaborate explanations of Stacy's behavior in the third-person and formal tutoring statements reduce learning gains. Additionally, we found that the agent's mistakes were a significant predictor for students shifting away from alignment with the agent.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Evaluating and Informing the Design of Chatbots

TL;DR: A study with 16 first-time chatbot users interacting with eight chatbots over multiple sessions on the Facebook Messenger platform revealed that users preferred chatbots that provided either a 'human-like' natural language conversation ability, or an engaging experience that exploited the benefits of the familiar turn-based messaging interface.

Teaching Scientific Thinking Skills: Students and Computers Coaching Each Other

TL;DR: In this paper, the authors developed computer programs called PALs (Personal A_ssistants for L_earning) in which computers and students alternately coach each other.
Journal ArticleDOI

The experience of agency in human-computer interactions: a review.

TL;DR: The overlap between HCI and sense of agency for computer input modalities and system feedback, computer assistance, and joint actions between humans and computers is explored.
Proceedings ArticleDOI

All Work and No Play

TL;DR: By studying a field deployment of a Human Resource chatbot, data is reported on users' interest areas in conversational interactions to inform the development of CAs, and rich signals in Conversational interactions are highlighted for inferring user satisfaction with the instrumental usage and playful interactions with the agent.
Proceedings ArticleDOI

What Can You Do?: Studying Social-Agent Orientation and Agent Proactive Interactions with an Agent for Employees

TL;DR: A 17-day field study of a prototype of a personal AI agent that helps employees find work-related information is conducted and it is found that user differences in social-agent orientation and aversion to agent proactive interactions can be inferred from behavioral signals.
References
More filters
Journal ArticleDOI

Peer interaction and learning in small groups

TL;DR: The authors discusses the kinds of peer interaction that influence learning in small groups and describes the characteristics of students, groups and tasks that predict different patterns of peer interactions based on previous empirical research.
Journal ArticleDOI

Educational Outcomes of Tutoring: A Meta-analysis of Findings

TL;DR: A meta-analysis of findings from 65 independent evaluations of school tutoring programs showed that tutored students outperformed control students on examinations, and they also developed positive attitudes toward the subject matter covered in the tutorial programs as discussed by the authors.
Journal ArticleDOI

The Nature of Rapport and Its Nonverbal Correlates

TL;DR: In this paper, the authors propose a conceptualization of rapport that has utility for identifying the nonverbal correlates associated with rapport, and describe the nature of rapport in terms of nonverbal relations.
Proceedings Article

The Behavior of Tutoring Systems

TL;DR: Although tutoring systems differ widely in their task domains, user interfaces, software structures, knowledge bases, etc., their behaviors are in fact quite similar.
Related Papers (5)