Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children's learning and emotive engagement

Abstract Pedagogical agents are typically designed to take on a single role: either as a tutor who guides and instructs the student, or as a tutee that learns from the student to reinforce what he/she knows. While both agent-role paradigms have been shown to promote student learning, we hypothesize that there will be heightened benefit with respect to students’ learning and emotional engagement if the agent engages children in a more peer-like way — adaptively switching between tutor/tutee roles. In this work, we present a novel active role-switching (ARS) policy trained using reinforcement learning, in which the agent is rewarded for adapting its tutor or tutee behavior to the child’s knowledge mastery level. To investigate how the three different child–agent interaction paradigms (tutee, tutor, and peer agents) impact children’s learning and affective engagement, we designed a randomized controlled between-subject experiment. Fifty-nine children aged 5–7 years old from a local public school participated in a collaborative word-learning activity with one of the three agent-role paradigms. Our analysis revealed that children’s vocabulary acquisition benefited from the robot tutor’s instruction and knowledge demonstration, whereas children exhibited slightly greater affect on their faces when the robot behaves as a tutee of the child. This synergistic effect between tutor and tutee roles suggests why our adaptive peer-like agent brought the most benefit to children’s vocabulary learning and affective engagement, as compared to an agent that interacts only as a tutor or tutee for the child. This work sheds light on how fixed role (tutor/tutee) and adaptive role (peer) agents support children’s cognitive and emotional needs as they play and learn. It also contributes to an important new dimension of designing educational agents — actively adapting roles based on the student’s engagement and learning needs.

[1]  Ryan Shaun Joazeiro de Baker,et al.  Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor , 2010, UMAP.

[2]  Ronen I. Brafman,et al.  R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning , 2001, J. Mach. Learn. Res..

[3]  K. Topping.  Trends in Peer Learning , 2005 .

[4]  Daniel McDuff,et al.  A large-scale analysis of sex differences in facial expressions , 2017, PloS one.

[5]  Sungju Park,et al.  Comparative study of effects of language instruction program using intelligence robot and multimedia on linguistic ability of young children , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[6]  Cynthia Breazeal,et al.  Bayesian Active Learning-Based Robot Tutor for Children's Word-Reading Skills , 2015, AAAI.

[7]  Gautam Biswas,et al.  Teachable Agents: Combining Insights from Learning Theory and Computer Science , 1999 .

[8]  Takayuki Kanda,et al.  Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial , 2004, Hum. Comput. Interact..

[9]  Brian Scassellati,et al.  Social robots for education: A review , 2018, Science Robotics.

[10]  Cheryl D. Hayes,et al.  The Cost of Quality Out-of-School-Time Programs. , 2009 .

[11]  Tony Belpaeme,et al.  Social robot tutoring for child second language learning , 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[12]  Cynthia Breazeal,et al.  Mobile Devices for Early Literacy Intervention and Research with Global Reach , 2016, L@S.

[13]  Kenneth H. Rubin,et al.  Peer Interactions, Relationships, and Groups , 2007 .

[14]  Pierre Dillenbourg,et al.  When Children Teach a Robot to Write: An Autonomous Teachable Humanoid Which Uses Simulated Handwriting , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[15]  Lev Vygotsky.  Mind in society , 1978 .

[16]  Richard De Lisi,et al.  Implications of Piagetian theory for peer learning. , 1999 .

[17]  P. Kuhl.  Is speech learning 'gated' by the social brain? , 2007, Developmental science.

[18]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[19]  Po-Yao Chao,et al.  Exploring the Possibility of Using Humanoid Robots as Instructional Tools for Teaching a Second Language in Primary School , 2010, J. Educ. Technol. Soc..

[20]  A. King.  Enhancing Peer Interaction and Learning in the Classroom Through Reciprocal Questioning , 1990 .

[21]  Daniel L. Schwartz,et al.  Young Children Can Learn Scientific Reasoning with Teachable Agents , 2013, IEEE Transactions on Learning Technologies.

[22]  Patton O. Tabors,et al.  Dual language and literacy development of Spanish-speaking preschool children. , 2007, Journal of applied developmental psychology.

[23]  Gautam Biswas,et al.  LEARNING BY TEACHING: A NEW AGENT PARADIGM FOR EDUCATIONAL SOFTWARE , 2005, Appl. Artif. Intell..

[24]  Tony Belpaeme,et al.  Comparing Robot Embodiments in a Guided Discovery Learning Interaction with Children , 2015, Int. J. Soc. Robotics.

[25]  R. Calvo,et al.  New Perspectives on Affect and Learning Technologies , 2011 .

[26]  Sarah E. Vaala,et al.  Getting a Read on the App Stores: A Market Scan and Analysis of Children's Literacy Apps. Full Report. , 2015 .

[27]  Mirko Gelsomini,et al.  Telling Stories to Robots: The Effect of Backchanneling on a Child's Storytelling * , 2017, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.

[28]  Rachel R. Romeo,et al.  Beyond the 30-Million-Word Gap: Children’s Conversational Exposure Is Associated With Language-Related Brain Function , 2018, Psychological science.

[29]  山田 幸恵,et al.  Human-Robot Interaction (HRI) における人の態度・不安・行動 , 2010 .

[30]  Vernon L. Allen,et al.  Children as teachers : theory and research on tutoring , 1976 .

[31]  Vanessa Evers,et al.  The Effect of a Robot's Social Character on Children's Task Engagement: Peer Versus Tutor , 2015, ICSR.

[32]  Arthur C. Graesser,et al.  AutoTutor and affective autotutor: Learning by talking with cognitively and emotionally intelligent computers that talk back , 2012, TIIS.

[33]  B. Bloom.  The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring , 1984 .

[34]  P. Ekman,et al.  Emotion in the Human Face: Guidelines for Research and an Integration of Findings , 1972 .

[35]  Rebecca J. Panagos.  Meaningful Differences in the Everyday Experience of Young American Children , 1998 .

[36]  Beverly Park Woolf,et al.  Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-learning , 2008 .

[37]  Javier R. Movellan,et al.  Sociable robot improves toddler vocabulary skills , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[38]  Kathy Hirsh-Pasek,et al.  Building Vocabulary Knowledge in Preschoolers through Shared Book Reading and Gameplay. , 2016 .

[39]  Shuai Wang,et al.  Enhancing learning and engagement through embodied interaction within a mixed reality simulation , 2016, Comput. Educ..

[40]  A. Bandura,et al.  Social learning and personality development , 1964 .

[41]  H. Ulrich Hoppe,et al.  Artificial Intelligence in Education , 2018, Lecture Notes in Computer Science.

[42]  Ayanna M. Howard,et al.  Engaging children in math education using a socially interactive humanoid robot , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

[43]  Hae Won Park,et al.  Flat vs. Expressive Storytelling: Young Children’s Learning and Retention of a Social Robot’s Narrative , 2017, Front. Hum. Neurosci..

[44]  Cynthia Breazeal,et al.  Can Children Catch Curiosity from a Social Robot? , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[45]  F. Tanaka,et al.  Children teach a care-receiving robot to promote their learning , 2012, J. Hum. Robot Interact..

[46]  Rod D. Roscoe,et al.  Understanding Tutor Learning: Knowledge-Building and Knowledge-Telling in Peer Tutors’ Explanations and Questions , 2007 .

[47]  Brian Scassellati,et al.  Thinking Aloud with a Tutoring Robot to Enhance Learning , 2018, 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[48]  Jacqueline M. Kory-Westlund.  Relational AI : creating long-term interpersonal interaction, rapport, and relationships with social robots , 2019 .

[49]  Marina Fridin,et al.  Storytelling by a kindergarten social assistive robot: A tool for constructive learning in preschool education , 2014, Comput. Educ..

[50]  Yiannis Demiris,et al.  A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction , 2016, Int. J. Soc. Robotics.

[51]  S. Dehaene.  Reading in the Brain: The New Science of How We Read , 2009 .

[52]  Albert T. Corbett,et al.  A Cognitive Tutor for Genetics Problem Solving: Learning Gains and Student Modeling , 2010 .

[53]  Richard G. Baraniuk,et al.  Contextual multi-armed bandit algorithms for personalized learning action selection , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[54]  Emily J. Ashurst,et al.  Robot education peers in a situated primary school study: Personalisation promotes child learning , 2017, PloS one.

[55]  Daniel McDuff,et al.  AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit , 2016, CHI Extended Abstracts.

[56]  Cynthia Breazeal,et al.  A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education , 2019, AAAI.

[57]  Cynthia Breazeal,et al.  Affective Personalization of a Social Robot Tutor for Children's Second Language Skills , 2016, AAAI.

[58]  Haoran Xie,et al.  Digital game-based vocabulary learning: where are we and where are we going? , 2019, Computer Assisted Language Learning.

[59]  Pierre Dillenbourg,et al.  When children teach a robot to write , 2015 .

[60]  Emma García,et al.  Education inequities at the school starting gate : gaps , trends , and strategies to address them , 2017 .

[61]  M. Cole,et al.  Mind in society: The development of higher psychological processes. L. S. Vygotsky. , 1978 .

[62]  Ayanna M. Howard,et al.  Retrieving experience: Interactive instance-based learning methods for building robot companions , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[63]  Barbara Di Eugenio,et al.  Shifting the Load: a Peer Dialogue Agent that Encourages its Human Collaborator to Contribute More to Problem Solving , 2017, International Journal of Artificial Intelligence in Education.

[64]  P. Kuhl.  Social Mechanisms in Early Language Acquisition: Understanding Integrated Brain Systems Supporting Language , 2011 .

[65]  Brian Scassellati,et al.  The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains , 2012, CogSci.

[66]  Andrew Olney,et al.  Gaze tutor: A gaze-reactive intelligent tutoring system , 2012, Int. J. Hum. Comput. Stud..

[67]  Cynthia Breazeal,et al.  Can Children Learn Creativity from a Social Robot? , 2019, Creativity & Cognition.

[68]  Fernando De la Torre,et al.  Facial Expression Analysis , 2011, Visual Analysis of Humans.

[69]  Eduardo F. Morales,et al.  An Introduction to Reinforcement Learning , 2011 .

[70]  W. Damon.  Peer education: The untapped potential , 1984 .

[71]  Ayanna M. Howard,et al.  Robot Learners: Interactive Instance-Based Learning and Its Application to Therapeutic Tasks , 2014, AAAI Fall Symposia.

[72]  Mimi Li,et al.  Play games or study? Computer games in eBooks to learn English vocabulary , 2013, Comput. Educ..

[73]  J. Tudge.  Peer influences on cognitive development: Piagetian and Vygotskian perspectives , 1989 .

[74]  Cindy E. Hmelo-Silver,et al.  International Handbook of the Learning Sciences , 2018 .

[75]  Tom Routen,et al.  Intelligent Tutoring Systems , 1996, Lecture Notes in Computer Science.

[76]  Matthew J. Davis.  Contrast Coding in Multiple Regression Analysis: Strengths, Weaknesses, and Utility of Popular Coding Structures , 2021, Journal of Data Science.

[77]  Menghua Chen,et al.  The effectiveness of digital game-based vocabulary learning: A framework-based view of meta-analysis , 2018, Br. J. Educ. Technol..

[78]  W. Steven Barnett,et al.  Access to High Quality Early Care and Education: Readiness and Opportunity Gaps in America , 2014 .

[79]  Cynthia Breazeal,et al.  Growing Growth Mindset with a Social Robot Peer , 2017, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.

[80]  J. Kanero,et al.  Social robots for early language learning: Current evidence and future directionsijdschrift Approachvan dencal practice: A pilot study.uali , 2018 .

[81]  Justine Cassell,et al.  Virtual peers as partners in storytelling and literacy learning , 2003, J. Comput. Assist. Learn..