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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.

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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
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Journal ArticleDOI

The Behavior of Tutoring Systems

TL;DR: In this paper, the authors describe tutoring systems as having two loops, the outer loop executes once for each task, where a task usually consists of solving a complex, multi-step problem.

Of educational research

TL;DR: In this article, the authors argue that educational theory cannot help but go beyond a limited conception of empirical educational research to provide a real understanding of education as a human practice, and that there is a place within the social sciences in general, and within the discipline of education in particular, for "foundational" approaches that enable the systematic study of educational practice from a discipline-oriented approach.
Book ChapterDOI

Interactivity and expectation: eliciting learning oriented behavior with tutorial dialogue systems

TL;DR: The reasons behind students’ different responses to human versus machine tutors are investigated and possible solutions that will motivate students to offer more elaborated responses to computerized tutoring systems, and ultimately behave in a more “learning oriented” manner are explored.
Journal ArticleDOI

Playfully negotiated activity in girls’ talk

TL;DR: This article examined how playful language functions in the friendship talk of preadolescent girls and found that alliance building is accomplished in a diversity of forms that contribute to the overall game-like key of pre-teen girls' talk.
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