Using Virtual Peers to Guide Visual Attention During Learning

This study tested the hypothesis that animated pedagogical agents (APAs) can effectively support students' learning by sig- naling visual information in multiple-representation learning environments. Novice students learned about electrical circuit analysis with an agent-based instructional program that included circuit diagrams and the corresponding Cartesian graphs. For some students, attention to relevant parts of the display was guided by an animated arrow (A group) or the deictic movements of a pedagogical agent (P group). A control (C) group learned with no visual attention-guiding method. Group P outperformed groups C and A on a posttest and gave lower difficulty ratings than group C. The findings suggest that a promising function of APAs is to support students' cognitive processing during

[1]  R. Atkinson Optimizing learning from examples using animated pedagogical agents. , 2002 .

[2]  François Vital-Durand,et al.  The effect of stimulus attractiveness on visual tracking in 2- to 6-month-old infants , 2003 .

[3]  Robert K. Atkinson,et al.  Fostering multimedia learning of science: Exploring the role of an animated agent's image , 2007, Comput. Educ..

[4]  Russell Gersten,et al.  The Sustained Use of Research-Based Instructional Practice , 2004 .

[5]  A. Paivio,et al.  Dual coding theory and education , 1991 .

[6]  Jeeheon Ryu,et al.  The Effects of Image and Animation in Enhancing Pedagogical Agent Persona , 2003 .

[7]  R. Mayer,et al.  Multimedia-Supported Metaphors for Meaning Making in Mathematics , 1999 .

[8]  Roxana Moreno,et al.  Studying Master Paintings to Promote Painting Skills: The Role of Visualization, Copying from Memory, and Spatial Ability , 2008 .

[9]  Thomas A. Keenan Computers and education , 1964, CACM.

[10]  Huay Lit Woo,et al.  Designing multimedia learning environments using animated pedagogical agents: factors and issues , 2009, J. Comput. Assist. Learn..

[11]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[12]  Susan R. Goldman,et al.  Learning in complex domains: When and why do multiple representations help? , 2003 .

[13]  Richard E. Mayer,et al.  Multimedia learning in an interactive self-explaining environment: What works in the design of agent , 2003 .

[14]  Maria Virvou,et al.  Evaluating the persona effect of an interface agent in a tutoring system , 2002, J. Comput. Assist. Learn..

[15]  Richard Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[16]  Gary J. Anglin Instructional technology : past, present, and future , 1995 .

[17]  Roxana Moreno,et al.  The Cambridge Handbook of Multimedia Learning: Multimedia Learning with Animated Pedagogical Agents , 2005 .

[18]  Susan M. Land Cognitive requirements for learning with open-ended learning environments , 2000 .

[19]  Slava Kalyuga,et al.  The Expertise Reversal Effect , 2003 .

[20]  Heinz Mandl,et al.  International Perspectives on the Design of Technology-supported Learning Environments , 1996 .

[21]  Elaine Ferneley,et al.  The use of animated agents in e‐learning environments: an exploratory, interpretive case study , 2006 .

[22]  P. Chandler,et al.  The Role of Visual Indicators in Dual Sensory Mode Instruction , 1997 .

[23]  R. Mayer,et al.  Interactive Multimodal Learning Environments , 2007 .

[24]  Roxana Moreno,et al.  Learning from animated classroom exemplars: the case for guiding student teachers' observations with metacognitive prompts , 2009 .

[25]  Marie E. Lassmann,et al.  The Impact of Cross-Age Tutoring on Reading Attitudes and Reading Achievement. , 2004 .

[26]  C. Gross,et al.  Representations of faces and body parts in macaque temporal cortex: a functional MRI study. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Hilary Johnson,et al.  People and computers XIII : proceedings of HCI '98 , 1998 .

[28]  William Haseman,et al.  User attitude as a mediator of learning performance improvement in an interactive multimedia environment: an empirical investigation of the degree of interactivity and learning styles , 2001, Int. J. Hum. Comput. Stud..

[29]  Richard Lowe,et al.  Animation and learning: selective processing of information in dynamic graphics , 2003 .

[30]  Susan M. Land,et al.  A conceptual framework for the development of theories-in-action with open-ended learning environments , 1996 .

[31]  Elisabeth André,et al.  The Persona Effect: How Substantial Is It? , 1998, BCS HCI.

[32]  William F. Brewer,et al.  The Role of Anomalous Data in Knowledge Acquisition: A Theoretical Framework and Implications for Science Instruction , 1993 .

[33]  S. Ainsworth DeFT: A Conceptual Framework for Considering Learning with Multiple Representations. , 2006 .

[34]  James C. Lester,et al.  The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? , 2001 .

[35]  James C. Lester,et al.  Achieving Affective Impact: Visual Emotive Communication in Lifelike Pedagogical Agents , 1999 .

[36]  Arthur C. Graesser,et al.  Agent Technologies Designed to Facilitate Interactive Knowledge Construction , 2008 .

[37]  Scotty D. Craig,et al.  Animated Pedagogical Agents in Multimedia Educational Environments: Effects of Agent Properties, Picture Features, and Redundancy , 2002 .

[38]  S. Ainsworth,et al.  Multiple Forms of Dynamic Representation. , 2004 .

[39]  James C. Lester,et al.  Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments , 2000 .

[40]  Danielle S McNamara,et al.  iSTART: Interactive strategy training for active reading and thinking , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[41]  Donald Porzio Effects of Differing Emphases in the Use of Multiple Representations and Technology on Students' Understanding of Calculus Concepts. , 1999 .

[42]  Ludmila C. Ortegano-Layne,et al.  Do classroom exemplars promote the application of principles in teacher education? A comparison of videos, animations, and narratives , 2008 .

[43]  A. Paivio Mental Representations: A Dual Coding Approach , 1986 .

[44]  F. Paas Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. , 1992 .

[45]  Richard E. Clark,et al.  Cognitive and Affective Benefits of an Animated Pedagogical Agent for Learning English as a Second Language , 2006 .

[46]  J. Cassell,et al.  Embodied conversational agents , 2000 .

[47]  David C. Webb,et al.  Learning by Understanding: The Role of Multiple Representations in Learning Algebra , 1995 .

[48]  Jeffrey M. Bradshaw,et al.  Software agents , 1997 .

[49]  Antonija Mitrovic,et al.  Evaluating an Animated Pedagogical Agent , 2000, Intelligent Tutoring Systems.