LEARNING BY TEACHING: A NEW AGENT PARADIGM FOR EDUCATIONAL SOFTWARE

By Gautam Biswas, Krittaya Leelawong, Daniel L. Schwartz, Nancy Vye. Applied Artificial Intelligence, 2005

492 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/982fa8a6d04f9fcd219cb7a394f3a97601f3dc6b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Developmental and Educational Psychology

Citations in the corpus

The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes (2014, unknown): “Constructive activities include activities such as drawing a concept map (Biswas, Leelawong, Schwartz, & Vye, 2005; Novak, 1990); taking notes in one’s own words (Trafton & Trickett, 2001); asking questions (Graesser & Person, 1994); posing problems (Mestre, 2002); comparing and contrasting cases…”
AutoTutor and affective autotutor: Learning by talking with cognitively and emotionally intelligent computers that talk back (2012, unknown): “This notion has been pursued in the Teachable Agent research of Biswas and colleagues [Biswas et al. 2005].”
Exploring students’ perspectives on Generative AI-assisted academic writing (2024, unknown): “On the other hand, AI could be designed as a Teachable Agent (TA) capitalizing on learning-by-teaching interactions where students learn by teaching the TA (e.g., assessing its knowledge by asking it questions or by getting it to solve problems) (Biswas et al., 2005; Chase et al., 2009).”
Understanding Tutor Learning: Knowledge-Building and Knowledge-Telling in Peer Tutors’ Explanations and Questions (2007, methodology): “By working to teach Betty a correct model and repair her mistakes, students developed a more integrated knowledge of the material than those who used the same system without a tutoring format (Biswas et al., 2005).”
Computational models of emotion (2010, methodology): “Finally, we illustrate how this component model view can help guide work in evaluating and contrasting alternative computational models of emotion.”
Pedagogical Agents: Back to the Future (2018, unknown): “For example, in Betty’s Brain, students teach teachable agent Betty (figure 3) about science topics, and they monitor Betty’s learning as she takes quizzes and responds to questions (Biswas et al. 2005).”
Children teach a care-receiving robot to promote their learning (2012, unknown): “Moreover, it has been applied with virtual agents in computers (Brophy, Biswas, Katzlberger, Bransford, & Schwartz, 1999; Biswas, Leelawong, Schwartz, Vye, & Vanderbilt, 2005).”
Designing Learning by Teaching Agents: The Betty's Brain System (2008, methodology): “This paper extends earlier work (Leelawong et al., 2002; Biswas et al., 2005) by including a thorough analysis of our approach to the design and implementation of Learning by Teaching systems, and comparing it to related past work in this area.”