Interactivity and Expectation: Eliciting Learning Oriented Behavior with Tutorial Dialogue Systems

We investigate the reasons behind students’ different responses to human versus machine tutors and explore possible solutions that will motivate students to offer more elaborated responses to computerized tutoring systems, and ultimately behave in a more “learning oriented” manner. We focus upon two sets of variables, one surrounding the students’ perceptions of tutor qualities and the other surrounding the conversational dynamics of the dialogues themselves. We offer recommendations based on our empirical investigations.

[1]  Marisa E. Campbell CHI 2004 , 2004, INTR.

[2]  C. Rosé The Role of Why Questions in Effective Human Tutoring , 2003 .

[3]  Chen-Lin C. Kulik,et al.  Educational Outcomes of Tutoring: A Meta-analysis of Findings , 1982 .

[4]  Randolph M. Jones,et al.  What Mediates the Self-explanation Eeect? Knowledge Gaps, Schemas or Analogies? , 1993 .

[5]  A. Renkl Worked-out examples: instructional explanations support learning by self- explanations , 2002 .

[6]  P. Hietala,et al.  The Competence of Learning Companion Agents , 1997 .

[7]  Carolyn Penstein Rosé,et al.  The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing , 2002, Intelligent Tutoring Systems.

[8]  Kevin D. Ashley,et al.  Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic Explanations , 2002, Intelligent Tutoring Systems.

[9]  Rob Nadolski,et al.  Cueing for Schema Construction: Designing Problem-Solving Multimedia Practicals , 2002 .

[10]  Gautam Biswas,et al.  Intelligent user interface design for teachable agent systems , 2003, IUI '03.

[11]  Johanna D. Moore,et al.  A comparative evaluation of socratic versus didactic tutoring , 2001 .

[12]  S. Argamon,et al.  Hedged Responses and Expressions of Affect in Human/Human and Human/Computer Tutorial Interactions , 2004 .

[13]  Claus Zinn,et al.  The Role of Initiative in Tutorial Dialogue , 2003, EACL.

[14]  C.D. Martin,et al.  The Media Equation: How People Treat Computers, Television and New Media Like Real People and Places [Book Review] , 1997, IEEE Spectrum.

[15]  Vincent Aleven,et al.  A Tutorial Dialog System to Support Self- Explanation: Evaluation and Open Questions , 2003 .

[16]  Chen-Lin C. Kulik,et al.  The Instructional Effect of Feedback in Test-Like Events , 1991 .

[17]  Vincent Aleven,et al.  Evaluating the Effectiveness of a Tutorial Dialogue System for Self-Explanation , 2004, Intelligent Tutoring Systems.

[18]  Nicole Shechtman,et al.  Media inequality in conversation: how people behave differently when interacting with computers and people , 2003, CHI '03.

[19]  Michelene T. H. Chi,et al.  Eliciting Self-Explanations Improves Understanding , 1994, Cogn. Sci..

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

[21]  Gautam Biswas,et al.  The Effects of Feedback in Supporting Learning by Teaching in a Teachable Agent Environment , 2002 .

[22]  Ryan Shaun Joazeiro de Baker,et al.  Off-task behavior in the cognitive tutor classroom: when students "game the system" , 2004, CHI.

[23]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[24]  Kurt VanLehn,et al.  Interactive Conceptual Tutoring in Atlas-Andes , 2002 .